Content analysis: a flexible methodology.ABSTRACT
Content analysis is a highly flexible research method that has been widely used in library and information science (LIS LIS - Langage Implementation Systeme.
A predecessor of Ada developed by Ichbiah in 1973. It was influenced by Pascal's data structures and Sue's control structures. A type declaration can have a low-level implementation specification. ) studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques An analytical technique is a method that is used to determine the concentration of a chemical compound or chemical element. There are a wide variety of techniques used for analysis, from simple weighing (gravimetric) to titrations (titrimetric)to very advanced techniques using to generate findings and put them into context. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research Quantitative research
Use of advanced econometric and mathematical valuation models to identify the firms with the best possible prospectives. Antithesis of qualitative research. and qualitative research Qualitative research
Traditional analysis of firm-specific prospects for future earnings. It may be based on data collected by the analysts, there is no formal quantitative framework used to generate projections. . The authors draw on selected LIS studies that have used content analysis to illustrate the concepts addressed in the article. The article also serves as a gateway to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly in the article.
As a research methodology, content analysis has its roots in the study of mass communications in the 1950s. (1) Based on a basic communications model of sender / message / receiver, initially researchers emphasized making inferences based on quantified analysis of recurring re·cur
intr.v. re·curred, re·cur·ring, re·curs
1. To happen, come up, or show up again or repeatedly.
2. To return to one's attention or memory.
3. To return in thought or discourse. , easily identifiable aspects of text content, sometimes referred to as manifest content man·i·fest content
The content of a dream, fantasy, or thought as it is remembered and reported in psychoanalysis.
manifest content . Since then, researchers in many fields, including anthropology anthropology, classification and analysis of humans and their society, descriptively, culturally, historically, and physically. Its unique contribution to studying the bonds of human social relations has been the distinctive concept of culture. , library and information studies (LIS), management, political science, psychology, and sociology, have used content analysis. In the process, they have adapted content analysis to suit the unique needs of their research questions and strategies and have developed a cluster of techniques and approaches for analyzing text grouped under the broad term of textual tex·tu·al
Of, relating to, or conforming to a text.
textu·al·ly adv. analysis. A significant change has been a broadening of text aspects to include syntactic Dealing with language rules (syntax). See syntax. , syntagmatic syn·tag·mat·ic
Of or relating to the relationship between linguistic units in a construction or sequence, as between the (n) and adjacent sounds in not, ant, and ton. , and pragmatic aspects of text, although not always within the same study. Merten (as cited by Titscher, Meyer, Wodak, & Vetter, 2000) notes that "the range of procedures in content analysis is enormous, in terms of both analytical goals and the means or processes developed to pursue them" (p. 55). The variants include, for example, besides content analysis, conversational analysis, discourse analysis Discourse analysis (DA), or discourse studies, is a general term for a number of approaches to analyzing written, spoken or signed language use.
The objects of discourse analysis—discourse, writing, , conversation, communicative event, etc. , ethnographic eth·nog·ra·phy
The branch of anthropology that deals with the scientific description of specific human cultures.
eth·nog analysis, functional pragmatics pragmatics
In linguistics and philosophy, the study of the use of natural language in communication; more generally, the study of the relations between languages and their users. , rhetorical rhe·tor·i·cal
1. Of or relating to rhetoric.
2. Characterized by overelaborate or bombastic rhetoric.
3. Used for persuasive effect: a speech punctuated by rhetorical pauses. analysis, and narrative semiotics semiotics or semiology, discipline deriving from the American logician C. S. Peirce and the French linguist Ferdinand de Saussure. It has come to mean generally the study of any cultural product (e.g., a text) as a formal system of signs. . (2) Although these approaches are alike in their reliance on communicative com·mu·ni·ca·tive
1. Inclined to communicate readily; talkative.
2. Of or relating to communication.
com·mu material as the raw material for analysis, they vary in the kinds of questions they address and in their methods.
This article focuses only on content analysis, not on all forms of textual analysis. It distinguishes, however, between quantitative and qualitative approaches to content analysis since both are used in information studies. Content analysis is a flexible research method that can be applied to many problems in information studies, either as a method by itself or in conjunction with other methods. Table 1 provides a selective list of research studies in LIS using content analysis published within the past fifteen years (1991-2005).
After defining content analysis, the article goes through the basic steps in a content analysis study. It does this first for quantitative content analysis, then notes the variations that exist for qualitative content analysis. Throughout the article draws on the LIS studies in Table 1 for examples. Although only certain aspects of the LIS studies are mentioned in the article, they constitute a rich trove showing the broad applicability of content analysis to many topics. The article closes with a brief bibliographical bibliographical
pertaining to the literature of a subject.
the ways in which a bibliography can be approached or managed. note leading to sources providing more detail about the content analysis aspects treated only briefly here.
Not surprisingly, multiple, nuanced definitions of content analysis exist that reflect its historical development. This article accepts a broad-based definition in a recent content analysis textbook textbook Informatics A treatise on a particular subject. See Bible. by Krippendorff (2004). (3) For the purpose of this article, content analysis is "a research technique for making replicable and valid inferences from texts (or other meaningful matter) to the contexts of their use" (Krippendorff, 2004, p. 18). The notion of inference (logic) inference - The logical process by which new facts are derived from known facts by the application of inference rules.
See also symbolic inference, type inference. is especially important in content analysis. The researcher uses analytical constructs, or rules of inference This is a list of rules of inference. Introduction
Rules of inference are syntactical transformation rules which one can use to infer a conclusion from a premise to create an argument. , to move from the text to the answers to the research questions. The two domains, the texts and the context, are logically independent, and the researcher draws conclusions from one independent domain (the texts) to the other (the context). In LIS studies the analytical constructs are not always explicit.
The analytical constructs may be derived from (1) existing theories or practices; (2) the experience or knowledge of experts; and (3) previous research (Krippendorff, 2004, p. 173). Mayring (2000), the author of a standard German-language text on qualitative content analysis, suggests using a model of communication to determine the focal point focal point
See focus. for the inferences. Conclusions can be drawn about the communicator, the message or text, the situation surrounding its creation--including the sociocultural so·ci·o·cul·tur·al
Of or involving both social and cultural factors.
soci·o·cul background of the communication--and/or the effect of the message. For example, Nitecki (1993) focuses on characterizing the communicator. She draws inferences about academicians' conceptual models of libraries based on analyzing the metaphors they used when they referred to libraries in published letters to the editor and opinion articles.
Content analysis involves specialized spe·cial·ize
v. spe·cial·ized, spe·cial·iz·ing, spe·cial·iz·es
1. To pursue a special activity, occupation, or field of study.
2. procedures that, at least in quantitative content analysis, allow for replication. The findings of a good study using quantitative content analysis, therefore, do not rely solely on the authority of the researchers doing the content analysis for their acceptability. They can be subjected to independent tests and techniques for judging their validity and reliability. Indeed, the extent to which validity and reliability can be judged are significant issues in evaluating a research methodology, and they are considered in subsequent sections in relation to both quantitative and qualitative content analysis.
What constitutes data that can be used for content analysis studies? Most important is that the data provide useful evidence for testing hypotheses or answering research questions. Another key factor is that the data communicate; they convey a message from a sender to a receiver. Krippendorff's definition expands text to include "other meaningful matter" (2004, p. 18). Pictures on a Web site, for example, are used to convey one or more meanings, often in combination with text (Marsh & White, 2003) and, as such, can be subjected to content analysis either by themselves or by looking at the relationships between images and text, as Marsh and White have done. Both Bell (2001) and Collier (2001) discuss the content analysis of visual images.
Beaugrande and Dressler (1981) suggest seven criteria for defining a text, which is the more common form of data for content analysis: cohesion cohesion: see adhesion and cohesion.
The tendency of atoms or molecules to coalesce into extended condensed states. This tendency is practically universal. , coherence coherence, constant phase difference in two or more Waves over time. Two waves are said to be in phase if their crests and troughs meet at the same place at the same time, and the waves are out of phase if the crests of one meet the troughs of another. , intentionality intentionality
Property of being directed toward an object. Intentionality is exhibited in various mental phenomena. Thus, if a person experiences an emotion toward an object, he has an intentional attitude toward it. , acceptability, informativity, situationality, and intertextuality Intertextuality is the shaping of texts' meanings by other texts. It can refer to an author’s borrowing and transformation of a prior text or to a reader’s referencing of one text in reading another. . In other words Adv. 1. in other words - otherwise stated; "in other words, we are broke"
put differently , text appropriate for content analysis is composed of linguistic elements arranged in a linear sequence that follows rules of grammar and dependencies and uses devices such as recurrence recurrence /re·cur·rence/ (-ker´ens) the return of symptoms after a remission.recur´rent
1. , anaphora a·naph·o·ra
1. The deliberate repetition of a word or phrase at the beginning of several successive verses, clauses, or paragraphs; for example, and cataphora ca·taph·o·ra
2. Somnolence marked by periods of partial consciousness.
lethargy with intervals of imperfect waking. , ellipsis A three-dot symbol used to show an incomplete statement. Ellipses are used in on-screen menus to convey that there is more to come. , and conjunctions to cause the elements to "hang together" to create a message (cohesion). The text has meaning, often established through relationships or implicature im·plic·a·ture
1. The aspect of meaning that a speaker conveys, implies, or suggests without directly expressing. Although the utterance "Can you pass the salt?" that may not be linguistically evident, and draws on frameworks within the recipient for understanding (coherence). The writer or speaker of the text intends for it to convey meaning related to his attitude and purpose (intentionality). Conversely con·verse 1
intr.v. con·versed, con·vers·ing, con·vers·es
1. To engage in a spoken exchange of thoughts, ideas, or feelings; talk. See Synonyms at speak.
2. , recipients of the message understand the text as a message; they expect it to be useful or relevant (acceptability). The text may contain new or expected information, allowing for judgments about its quality of informing (informativity). The situation surrounding the text affects its production and determines what is appropriate for the situation and the culture (situationality). The text is often related to what precedes and follows it, as in a conversation (one interpretation of intertextuality), or is related to other similar texts, for example, others within a genre, such as transcripts of chat sessions (another meaning of intertextuality).
The texts used in the LIS studies in Table 1 vary significantly. Some are generated in connection with the immediate research project; other texts occur naturally in the conduct of normal activities and independent of the research project. The former include responses to open questions on questionnaires (Kracker & Wang, 2002; White & Iivonen, 2001, 2002) and interviews with participants (Buchwald, 2000; Hahn, 1999). The latter include reference interviews (Dewdney, 1992), segments of published articles and books (Green, 1991; Marsh & White, 2003; Nitecki, 1993), obituaries (Dilevko & Gottlieb, 2004), problem statements in published articles (Stansbury, 2002),job advertisements (Croneis & Henderson, 2002; Lynch & Smith, 2001), messages on electronic lists (Maloney-Krichmar & Preece, 2005; White, 2000), and Web pages (Haas & Grams, 1998a, 1998b, 2000; Wang & Gao, 2004). Some studies use a combination of the two. For example, Buchwald (2000) analyzed an·a·lyze
tr.v. an·a·lyzed, an·a·lyz·ing, an·a·lyz·es
1. To examine methodically by separating into parts and studying their interrelations.
2. Chemistry To make a chemical analysis of.
3. recorded and transcribed informant informant Historian Medtalk A person who provides a medical history interviews, observation notes generated during the research, and existing group documents in studying Canada's Coalition for Public Information's role in the federal information policy-making pol·i·cy·mak·ing or pol·i·cy-mak·ing
High-level development of policy, especially official government policy.
Of, relating to, or involving the making of high-level policy: process.
Neuendorf (2002) proposes a useful typology typology /ty·pol·o·gy/ (ti-pol´ah-je) the study of types; the science of classifying, as bacteria according to type.
the study of types; the science of classifying, as bacteria according to type. of texts that takes into consideration the number of participants and/or setting for the message: individual messaging, interpersonal in·ter·per·son·al
1. Of or relating to the interactions between individuals: interpersonal skills.
2. and group messaging, organizational messaging, and mass messaging. Individual responses to an open question on a questionnaire or in an interview are examples of individual messaging; the objective of content analysis is usually to identify that person's perspective on the topic. Reference interviews are a form of dyadic Two. Refers to two components being used.
(programming) dyadic - binary (describing an operator).
Compare monadic. , interpersonal communication Interpersonal communication is the process of sending and receiving information between two or more people. Types of Interpersonal Communication
This kind of communication is subdivided into dyadic communication, Public speaking, and small-group communication. (Dewdney, 1992). Messages on electronic lists (Schoch & White, 1997) offer an example of group messaging; the person sends the message to the group, any member of which can reply. The objective, in this case, is to characterize the communications of the group. Technical services Web sites (Wang & Gao, 2004), often existing only on Intranets, are examples of organizational communication Organizational communication, broadly speaking, is: people working together to achieve individual or collective goals.  Discipline History
The modern field traces its lineage through business information, business communication, and early mass communication . Job advertisements in LIS journals (Croneis & Henderson, 2002) are examples of mass messaging.
All of these types of text can occur within various applied contexts. For example, within the context of consumer health communication, studying messages on consumer-oriented health electronic lists (informal, group messaging) can provide insights into information needs that are not satisfied through doctor-patient interviews (more formal, interpersonal, dyadic communication) (White, 2000). Analyzing job advertisements (Croneis & Henderson, 2002) is similar to studying personal ads in other fields (Cicerello & Sheehan, 1995).
At an early point in a content analysis study, the data need to be "chunked," that is, broken into units for sampling, collecting, and analysis and reporting. Sampling units serve to identify the population and establish the basis for sampling. Data collection units are the units for measuring variables. Units of analysis are the basis for reporting analyses. These units may be, but are not necessarily, the same. In many cases, the sampling unit is the documentary container for the data collection unit and/or units of analysis. It is the naturally occurring vehicle that can be identified and retrieved. In Dewdney (1992), for example, the entire interview serves as all three units. In White (2000) the message is the sampling unit; she has several different units of analysis in her study of questions in electronic lists: the message as a whole and individual questions within the messages. She also breaks the questions down into the form and content of the question, focusing on different segments of the question as phrased for categorizing.
In separate studies, Green (1991) and Nitecki (1993) focus on two words (information and the stem librar, respectively) and analyze the phrase immediately surrounding each occurrence of the word (data collection units) in two types of documents (sampling units) (for Green, abstracts in the LISA The first personal computer to include integrated software and use a graphical interface. Modeled after the Xerox Star and introduced in 1983 by Apple, it was ahead of its time, but never caught on due to its $10,000 price and slow speed. database; for Nitecki, letters and opinion articles in the Chronicle of Higher Education higher education
Study beyond the level of secondary education. Institutions of higher education include not only colleges and universities but also professional schools in such fields as law, theology, medicine, business, music, and art. ) to identify the metaphors surrounding use of these terms. They subsequently analyze the phrases to generate atomized phrases and then collapse them into metaphors (the unit of analysis). Each then interprets the metaphors as evidence of conceptual models held by the writers of the documents. In comparison to Dewdney (1992), who also studied reference interviews, White, Abels, and Agresta (2004) analyze turns (the unit of analysis) within chat reference interviews (the sampling unit). In Marsh and White (2003) the emphasis is on relationships between images and text, so the unit of analysis is the image-text pair, defined as the image and its related text segment (p. 652).
Pragmatism pragmatism (prăg`mətĭzəm), method of philosophy in which the truth of a proposition is measured by its correspondence with experimental results and by its practical outcome. determines the sampling and data collection unit; the research question or hypothesis determines the unit of analysis. In all of the studies mentioned above, the unit of analysis is naturally related to the research question or hypothesis being addressed.
PROCEDURES: QUANTITATIVE CONTENT ANALYSIS
Before discussing distinctions between qualitative and quantitative content analysis, it is useful to identify, and explain the steps involved in content analysis. The focus initially is on the steps for a study using quantitative content analysis. The steps are as follows:
1. Establish hypothesis or hypotheses
2. Identify appropriate data (text or other communicative material)
3. Determine sampling method and sampling unit
4. Draw sample
5. Establish data collection unit and unit of analysis
6. Establish coding scheme that allows for testing hypothesis
7. Code data
8. Check for reliability of coding and adjust coding process if necessary
9. Analyze coded data, applying appropriate statistical test(s)
10. Write up results
Quantitative content analysis flows from a positivist pos·i·tiv·ism
a. A doctrine contending that sense perceptions are the only admissible basis of human knowledge and precise thought.
b. research tradition and is deductive de·duc·tive
1. Of or based on deduction.
2. Involving or using deduction in reasoning.
de·duc in its approach. Its objective is to test hypotheses, not to develop them. Drawing oil related research and existing, relevant theory, a researcher first establishes one or more hypotheses that can be tested using content analysis. These hypotheses flow from what is already known about the problem and the extant ex·tant
1. Still in existence; not destroyed, lost, or extinct: extant manuscripts.
2. Archaic Standing out; projecting. research questions. In Dewdney, for example, "the hypothesis predicted, essentially, that interviews conducted by librarians who had received training in either neutral questioning or in the use of microskills would contain more examples of effective use of the skills taught, respectively, than interviews conducted by these same librarians before training, or than interviews conducted by librarians who had received no direct training" (1992, p. 131).
Determining Data for Analysis
The hypotheses, in turn, serve to guide subsequent decisions in the methodology. For example, they determine the nature of the data that would be required to test the hypotheses. In Dewdney (1992) it is clear that, to test her hypothesis, she needs to collect reference interviews under different situations: from librarians with training (1) before and (2) after the training, and (3) from librarians with no direct training.
A major objective of social science research is generalizability, that is, the ability to generalize generalize /gen·er·al·ize/ (-iz)
1. to spread throughout the body, as when local disease becomes systemic.
2. to form a general principle; to reason inductively. from the specific to the general--for example, to study the sample but infer from the sample's findings something about the population from which the sample is drawn. With a relatively nonstratified population, the ideal is random sampling, that is, sampling in which the probability of any unit within the population being selected is the same. To do this effectively, it is essential to know all units that exist in the population, such as all research articles published during a particular time period within a set of journals (Stansbury, 2002). Sometimes it is not possible to know all units beforehand, but a list can be generated as the sample is drawn. For example, to obtain a representative sample, randomly selected, from messages on two electronic lists and to ensure that the sampling period was sufficiently long to allow for getting a range of topics, messages, and participants, Schoch and White (1997) first did a preliminary study, based on archives of the lists, to determine the rate of messaging per list, or the average number of messages per month. At the start of the data-gathering period, all messages were downloaded and numbered separately for each list, and a sample of 1,000 messages was randomly chosen from the first 3,000 messages on each list written from the onset of the data-gathering period. Based on the messaging rate, the data-gathering period should have lasted approximately two months, but, because the rate of messaging actually varied across the two lists, data-collecting continued slightly longer in one list than in the other to achieve the same number of messages per list.
In quantitative content analysis the coding scheme is determined a priori a priori
In epistemology, knowledge that is independent of all particular experiences, as opposed to a posteriori (or empirical) knowledge, which derives from experience. , that is, before coding begins. A coding scheme operationalizes concepts that may in themselves be amorphous Unorganized or vague. A lack of structure. For example, the amorphous state of a spot on a rewritable optical disc means that the laser beam will not be reflected from it, which is in contrast to a crystalline state which will reflect light. See crystalline. . It establishes categories that are relevant and valid. Relevant means that they allow for testing the hypotheses. Validity refers to "the extent to which a measuring procedure represents the intended, and only the intended, concept" (Neuendorf, 2002, p. 112). Validity can be assessed in several ways. Face validity face validity (fāsˑ v·liˑ·di·tē),
n , which is common in content analysis, refers to the extent to which a measure "gets at" the essential aspects of the concept being measured. Face validity is inherently subjective. To determine face validity, researchers assess as objectively as possible the correspondence between what they measure and how they measure it. One way of corroborating face validity is to have judges work backwards from the measure to determine the concept being measured (Neuendorf, 2002, p. 115). Other means of assessment are criterion validity The introduction to this article provides insufficient context for those unfamiliar with the subject matter.
Please help [ improve the introduction] to meet Wikipedia's layout standards. You can discuss the issue on the talk page. , which relies on assessing the correspondence between the code and criteria, such as concurrent or predictive behavior or norms of behavior; content validity content validity,
n the degree to which an experiment or measurement actually reflects the variable it has been designed to measure. , which looks at the completeness of representation of the concept; and construct validity construct validity,
n the degree to which an experimentally-determined definition matches the theoretical definition. , which refers to "the extent to which a measure is related to other measures (constructs) in a way consistent with hypotheses derived from theory" (Neuendorf, 2002, p. 117). Construct validity is more difficult to assess than criterion or content validity but is a worthy objective.
In addition, a good coding scheme has categories or levels that are exhaustive, that is, all relevant aspects of the construct are represented, are mutually exclusive Adj. 1. mutually exclusive - unable to be both true at the same time
incompatible - not compatible; "incompatible personalities"; "incompatible colors" , and are measured at the highest possible scale of measurement based on the four scales of measurement (nominal, ordinal (mathematics) ordinal - An isomorphism class of well-ordered sets. , interval, and ratio). (4) The coding scheme should have clear definitions, easy-to-follow instructions, and unambiguous examples. All of these features promote the reliability of the coding, that is, the likelihood that all coders will code the same item the same way or that a coder will code the same item the same way at different points in time. (5) (For examples of coding schemes, see Haas & Grams, 2000, pp. 191-192; Hahn, 1999, Appendix B, pp. 229-237; Kracker & Wang, 2002, Appendices ap·pen·di·ces
A plural of appendix. A-C A-C Air Conditioning , pp. 304-305; and Marsh & White, 2003, pp. 666-672.) If the coding scheme is modified during the coding, it must be re-applied to the data already coded so that all data are coded according to according to
1. As stated or indicated by; on the authority of: according to historians.
2. In keeping with: according to instructions.
3. the same coding scheme.
The complexity of the coding scheme varies, and individual codes may be combined after the coding to develop a composite measurement, such as an index, or otherwise grouped to show relationships among the measures. Kacker and Wang (2002), for example, initially identified affective affective /af·fec·tive/ (ah-fek´tiv) pertaining to affect.
1. Concerned with or arousing feelings or emotions; emotional.
2. words that expressed emotions should be added to this article, to conform with Wikipedia's Manual of Style.
Please discuss this issue on the talk page. and subsequently clustered the categories into an affective classification scheme indicating negative and positive clusters for three major areas. Marsh and White (2003) grouped the image-text relationships into three categories: functions expressing little relation to the text; functions expressing close relation to the text; and functions going beyond the text.
Many content analysis studies do not develop their own coding scheme but rely instead on coding schemes devised by other researchers. Stansbury (2002) used the problem statement attributes identified by Hernon and Metoyer-Duran (1993) as a code for analyzing problem statements in LIS journals. Maloney-Krichmar and Preece (2005) and Schoch and White (1997) used Bales's Transactional Analysis Schema (Bales, 1951) to analyze messages on consumer health electronic lists. Using the same coding scheme across studies allows for easy comparisons among the studies. For example, after applying Graesser's Typology of Questions (Graesser, McMahen, & Johnson, 1994) to questions in reference interviews, White (1998) compared the incidence of questions and types of questions in reference interviews with similar question incidence data in tutoring sessions and decision support systems. In another study (White, 2000) coding the content of questions on consumer-health electronic lists with Roter's (1984) typology of questions in physician-patient interactions allowed for comparisons across the two settings. The last column in Table 1 shows the content analytic schemes from other researchers used in quantitative content analysis studies.
Several coding schemes developed by LIS researchers have potentially broad use in LIS: (1) Haas and Grams' (1998a, 1998b, 2000) taxonomies for Web pages and links; (2) the two sets of categories developed by Kracker and Wang (2002) reflecting affective and cognitive aspects of Kuhlthau's (1993) Information Search Process (ISP (1) See in-system programmable.
(2) (Internet Service Provider) An organization that provides access to the Internet. Connection to the user is provided via dial-up, ISDN, cable, DSL and T1/T3 lines. ) model; and (3) Marsh and White's (2003) taxonomy taxonomy: see classification.
In biology, the classification of organisms into a hierarchy of groupings, from the general to the particular, that reflect evolutionary and usually morphological relationships: kingdom, phylum, class, order, for analyzing text-image relationships in a variety of settings.
Just because coding schemes are developed a priori does not mean that the instances of the categories become immediately obvious and, as a result, easy to code. As in qualitative content analysis, the analysis often requires careful, iterative it·er·a·tive
1. Characterized by or involving repetition, recurrence, reiteration, or repetitiousness.
2. Grammar Frequentative.
Noun 1. reading of the text. Marsh and White (2003) include several examples of image-text pairs, their codes, and the thinking surrounding coding each pair with their taxonomy of image-text relationships. These examples illustrate the complexity and depth of thinking that may be necessary in coding, even with an a priori coding scheme.
Analyzing the Coded Data
After the coding, which in itself is analytical, the researcher undertakes several additional steps. These steps, too, are done within the framework of the hypotheses or research questions. First, he (6) summarizes the findings identified during the coding, formulating and restating them so that they can be understood easily and are applicable to his hypotheses or research questions. Second, he identifies and articulates the patterns and relationships among his findings so that he can test his hypotheses or answer his research questions. Finally, he relates these more involved findings to those in other situations or other studies. The last step allows him to put his findings into perspective.
In the analysis, the content analyst chooses from among a variety of statistical approaches or techniques for presenting and testing his findings. They range in complexity and demands for different scales of measurement for the variables. The approach he selects takes into consideration not only the questions he is addressing but also the nature of the data and may include tabulations; cross-tabulations, associations, and correlations; multivariate The use of multiple variables in a forecasting model. techniques, such as multiple regression Multiple regression
The estimated relationship between a dependent variable and more than one explanatory variable. analysis; factor analysis and multidimensional scaling Multidimensional scaling (MDS) is a set of related statistical techniques often used in data visualisation for exploring similarities or dissimilarities in data. MDS is a special case of ordination. ; images, portrayals, semantic nodes, and profiles; contingencies and contingency analysis; and clustering. Often, decisions about using these techniques are made in the planning phase In amphibious operations, the phase normally denoted by the period extending from the issuance of the order initiating the amphibious operation up to the embarkation phase. The planning phase may occur during movement or at any other time upon receipt of a new mission or change in the of the project since they influence and build on decisions that, of necessity, must occur earlier in the project, such as establishing the level of measurement for a particular variable. The output of these techniques can be presented, in most cases, both in tabular tab·u·lar
1. Having a plane surface; flat.
2. Organized as a table or list.
3. Calculated by means of a table.
resembling a table. and graphic form. Not all of these techniques are used in the LIS content analysis studies in Table 1. Tabulations, cross-tabulations, associations, and correlations are common (see, for example, Schoch & White, 1997; Stansbury, 2002; White, 1998). White, Abels, and Gordon-Murnane (1998) use clustering techniques to develop a typology of innovators innovators
people who will try new things.
important figures in the farming or client community because they are the leaders in the introduction of new techniques and management systems. in a study of the content of publishers' Web sites and use it to profile publishers along a spectrum from traditionalist to innovator.
PROCEDURES: QUALITATIVE CONTENT ANALYSIS
Proponents of qualitative and quantitative content analysis often emphasize their differences, yet many similarities exist as well. Noting four common elements, Krippendorff, who covers both variants in his text, points out "the proponents of both approaches:  sample text, in the sense of selecting what is relevant;  unitize u·nit·ize
tr.v. u·nit·ized, u·nit·iz·ing, u·nit·iz·es
1. To separate, classify, or package in discrete units.
2. To make or transform into a single unit. text, in the sense of distinguishing words or propositions and using quotes or examples;  contextualize con·tex·tu·al·ize
tr.v. con·tex·tu·al·ized, con·tex·tu·al·iz·ing, con·tex·tu·al·iz·es
To place (a word or idea, for example) in a particular context. what they are reading in light of what they know about the circumstances surrounding the text; and  have specific research questions in mind" (2004, p. 87). Table 2 characterizes the two types of content analysis along several dimensions. The most significant differences are the foci of this section.
Formulating Research Questions
In contrast with quantitative content analysis, qualitative content analysis flows from a humanistic hu·man·ist
1. A believer in the principles of humanism.
2. One who is concerned with the interests and welfare of humans.
a. A classical scholar.
b. A student of the liberal arts. , not a positivistic pos·i·tiv·ism
a. A doctrine contending that sense perceptions are the only admissible basis of human knowledge and precise thought.
b. , tradition. It is inductive inductive
1. eliciting a reaction within an organism.
a form of radiofrequency hyperthermia that selectively heats muscle, blood and proteinaceous tissue, sparing fat and air-containing tissues. . Qualitative content analysis may yield testable hypotheses but that is not its immediate purpose. Replacing the hypotheses are foreshadowing fore·shad·ow
tr.v. fore·shad·owed, fore·shad·ow·ing, fore·shad·ows
To present an indication or a suggestion of beforehand; presage.
fore·shad questions, that is, open questions that guide the research and influence the data that are gathered. In qualitative content analysis, however, the text plays a slightly different role in that, as the researcher reads through the data and scrutinizes them closely to identify concepts and patterns, some patterns and concepts may emerge that were not foreshadowed but that are, nevertheless, important aspects to consider. In that case, the researcher may legitimately alter his interests and research questions to pursue these new patterns. For example, in Hahn's study of the author and editor as early adopters of electronic journals, she initially had three open, foreshadowing research questions, based, to some extent, on diffusion diffusion, in chemistry, the spontaneous migration of substances from regions where their concentration is high to regions where their concentration is low. Diffusion is important in many life processes. theory (Rogers, 1995): "1) How do authors and editors working closely with an electronic journal perceive electronic journals?; 2) What is the decision process that authors are using to decide to publish in an electronic journal?; 3) How do social factors influence the adoption decision?" (Hahn, 1999, p. 6). As her coding and analysis evolved, she added: "4) What key relations between the scientific community and the publishing system are affected by electronic publishing An umbrella term for non-paper publishing, which includes publishing online or on media such as CDs and DVDs. ?" (p. 122). Krippendorff refers to this iterative process of "recontextualizing, reinterpreting, and redefining the research until some kind of satisfactory interpretation is reached" (2004, pp. 87-88) as a hermeneutic her·me·neu·tic also her·me·neu·ti·cal
[Greek herm loop. This procedure may actually occur in quantitative content analysis studies but only at the development phase of the research design; the development phase is followed by adherence to the practices specified earlier.
Both qualitative and quantitative content analysis researchers sample text and choose text that is relevant for their purpose, but qualitative researchers focus on the uniqueness of the text and are consciously aware of the multiple interpretations than can arise from a close perusal of it. The need for close, reiterative re·it·er·ate
tr.v. re·it·er·at·ed, re·it·er·at·ing, re·it·er·ates
To say or do again or repeatedly. See Synonyms at repeat.
re·it analysis itself usually limits the size of the sample.
In addition, since the object of qualitative research is not generalizability but transferability, sampling does not need to insure that all objects being analyzed have an equal or predictable probability of being included in the sample. Transferability refers to a judgment about whether findings from one context are applicable to another. Instead, the sampling should be theoretical and purposive pur·po·sive
1. Having or serving a purpose.
2. Purposeful: purposive behavior.
pur . It may have as its objective providing the basis for identifying all relevant patterns in the data or characterizing a phenomenon. It may even present the findings quantitatively through numbers and percentages but not through inferential statistics inferential statistics
see inferential statistics. . Some cases may be selected prior to initiating coding, but the selection and coding may also occur in tandem Adv. 1. in tandem - one behind the other; "ride tandem on a bicycle built for two"; "riding horses down the path in tandem"
tandem , with subsequent case selection influenced by discoveries during the coding process. Analyzing new cases may continue until no new patterns or findings related to the concept under analysis become apparent in the coding process. If no new patterns are being found, generally the presumption A conclusion made as to the existence or nonexistence of a fact that must be drawn from other evidence that is admitted and proven to be true. A Rule of Law.
If certain facts are established, a judge or jury must assume another fact that the law recognizes as a logical is that all relevant patterns have been discovered and additional work would only confirm that finding. If at this point there is interest in noting the prevalence of a particular pattern, the researcher may move to using the pattern or range of patterns as a coding scheme and analyzing a body of documents. But, because the sampling is purposive, the researcher cannot extrapolate extrapolate - extrapolation from the sample to the population.
For qualitative coding, the researcher's initial foci are not a priori codes but the initial foreshadowing questions he aims to answer through his research. The questions guide his initial approach to the data, but the process is inductive, not deductive. The evidence plays almost as significant a role in shaping the analysis as the initial questions. It is not unusual to have a person doing qualitative content analysis read through the data initially with the intent of trying to see the big picture. As he reads through the documents, he begins to tag key phrases and text segments that correspond to those questions, notes others that seem important but are unexpected, sees similarities in expressing the same concept, and continues iteratively to compare the categories and constructs that emerge through this process with other data and re-reading of the same documents. In the process, he may be looking for Looking for
In the context of general equities, this describing a buy interest in which a dealer is asked to offer stock, often involving a capital commitment. Antithesis of in touch with. diversity of ideas, alternative perspectives, oppositional writings, and/or different uses of the texts, perhaps by different groups.
Data collection units and units of analysis vary. The researcher continually checks his growing interpretation of answers to his research questions against the documents and notes, especially situations that do not fit the interpretation or suggest new connections. In this way, he looks not only at confirming evidence of his emerging construct(s) but also at disconfirming Adj. 1. disconfirming - not indicating the presence of microorganisms or disease or a specific condition; "the HIV test was negative"
medical specialty, medicine - the branches of medical science that deal with nonsurgical techniques
2. evidence that needs to be considered as he presents his case for his interpretation. The overall process may suggest new questions that were not anticipated at the start of the analysis. Glaser and Strauss (1967) refer to the constant comparison approach to data analysis, in which the emerging relationships and categories are continually refined and emerging theory or patterns tested as new data are compared with old (see also Boeije, 2002).
To keep track of the developing concepts and the models that are emerging about how the concepts relate to each other, the researcher records his decisions and comments in memos. Two types of memos are common: concept memos, which logically focus on emerging concepts, the distinctive ways in which these are phrased, and his own interpretation of the concepts; and theory memos, in which he focuses on relationships among the concepts and gradually integrates these concepts into a workable model. Memos reveal the subtleties of the researcher's interpretation and understanding of the constructs over time. In a conceptual memo, for example, Hahn (1998) comments:
Thinking over some of the features of discussions that I feel are recurring but not previously captured by existing coding structures, I initially considered the concept of advantages and disadvantages. However, it seems like a more useful organizing conceptual structure is one of optimizing characteristics. The idea is that these are characteristics of the journal perceived by the community. The editors and publishers try to optimize these to encourage both submissions and readership. Authors also try to make an optimal match with these characteristics given the nature of the paper they have in hand ready for submission. (n.p.)
Qualitative content analysis has developed approaches similar to validity and reliability for assessing the rigor rigor /rig·or/ (rig´er) [L.] chill; rigidity.
rigor mor´tis the stiffening of a dead body accompanying depletion of adenosine triphosphate in the muscle fibers. of the coding and analysis process. Qualitative content analysis focuses on creating a picture of a given phenomenon that is always embedded Inserted into. See embedded system. within a particular context, not on describing reality objectively. Lincoln and Guba (1985) describe four criteria used to assess the degree to which a qualitative study will have "truth value," that is, "confidence in the 'truth' of the findings of a particular inquiry" (Guba & Lincoln, 1981, p. 246): credibility, transferability, dependability dependability - software reliability , and confirmability. (7) Credibility, the equivalent of internal validity Internal validity is a form of experimental validity . An experiment is said to possess internal validity if it properly demonstrates a causal relation between two variables  . , calls for identifying all important factors in the research question and accurately and completely describing the ways in which these factors are reflected in the data gathered. Transferability, or external validity External validity is a form of experimental validity. An experiment is said to possess external validity if the experiment’s results hold across different experimental settings, procedures and participants. , is essentially a judgment about the applicability of findings from one context to another. Generally a qualitative researcher tries to situate sit·u·ate
tr.v. sit·u·at·ed, sit·u·at·ing, sit·u·ates
1. To place in a certain spot or position; locate.
2. To place under particular circumstances or in a given condition.
adj. his findings within a relevant theoretical paradigm, understanding that findings sensible within it can be applied to other, comparable contexts with greater confidence. Similarly, he usually tries to collect data on a single factor or question aspects from multiple sources with the understanding that findings based on multiple data sources can be transferred with greater confidence. Collecting, analyzing, and cross-checking a variety of data on a single factor or aspect of a question from multiple sources, and perhaps perspectives, as Buchwald (2000) did, is termed triangulation triangulation: see geodesy.
The use of two known coordinates to determine the location of a third. Used by ship captains for centuries to navigate on the high seas, triangulation is employed in GPS receivers to pinpoint their current location on earth. and is a way to heighten height·en
v. height·ened, height·en·ing, height·ens
1. To raise or increase the quantity or degree of; intensify.
2. To make high or higher; raise.
v.intr. a qualitative study's credibility and confirmability.
Dependability addresses the notion of replicability and defines it as "stability after discounting ... conscious and unpredictable (but rational and logical) changes" (Guba & Lincoln, 1981, p. 247) in findings during repetitions of the study. Confirmability relates to objectivity and is measured in quantitative content analysis by assessing inter-rater reliability Inter-rater reliability, Inter-rater agreement, or Concordance is the degree of agreement among raters. It gives a score of how much , or consensus, there is in the ratings given by judges. . In qualitative research findings are confirmed by looking at the data, not the researcher(s), to determine if the data support the conclusions. The important criterion is not numeric numeric
see ten-key pad. correspondence between coders but conceptual consistency between observation and conclusion.
Method of Analysis
Analysis is integrated into coding much more in qualitative content analysis than in quantitative content analysis. The emphasis is always on answering the research questions but considering as well any transformations that the initial foreshadowing questions may have undergone during the coding or any new questions or themes that emerge during the coding. Often the result of qualitative analysis Qualitative Analysis
Securities analysis that uses subjective judgment based on nonquantifiable information, such as management expertise, industry cycles, strength of research and development, and labor relations. is a composite picture of the phenomenon being studied. The picture carefully incorporates the context, including the population, the situation(s), and the theoretical construct. The goal is to depict de·pict
tr.v. de·pict·ed, de·pict·ing, de·picts
1. To represent in a picture or sculpture.
2. To represent in words; describe. See Synonyms at represent. the "big picture" of a given subject, displaying conceptual depth through thoughtful arrangement of a wealth of detailed observations.
In presenting the results the researcher may use numbers and/or percentages, either in simple tabulations or in cross-tabulations to show relationships, but he may also rely simply on the gradual accretion The act of adding portions of soil to the soil already in possession of the owner by gradual deposition through the operation of natural causes.
The growth of the value of a particular item given to a person as a specific bequest under the provisions of a will between the of details within his textual presentation without resort to numbers. Often the analysis results in both graphic and tabular presentation of models elicited e·lic·it
tr.v. e·lic·it·ed, e·lic·it·ing, e·lic·its
a. To bring or draw out (something latent); educe.
b. To arrive at (a truth, for example) by logic.
2. during the analysis. Wang and White (1999), for example, present a graphic model of document use at three different stages in a research project, showing the criteria and decision rules the researchers applied at each stage (see Figure 6, p. 109). This table incorporates data from a previous study, which covered the first stage (Wang & Soergel, 1998), and is supported in the second study by data in Tables 2 and 4 (Wang & White 1999, pp. 104, 107, respectively) for criteria and decision rules in the second and third stages, respectively. The tables present, for each criterion and decision rule, the number of users mentioning each and the number of documents about which they were mentioned.
The text may be a narrative of findings about the phenomenon being studied with quotations to illustrate the conclusions. In the same study, for example, the authors refer to the participants' use of reputation as a criterion in determining relevance:
Participants comment on whether or not the document is written by a reputable author or organization or published in a reputable journal. An example related to the document's author is "It is by a very minor person, X; Y [co-author] is a little better known than X. I know them by reputation. I don't know them personally." Another example comments on the authority of the publisher or the author's affiliation: "I was looking for something which wouldn't have a bias. The World Bank is accepted by all countries. We already know that the World Bank is very involved in sending technical support or funding for such projects" (Wang & White, 1999, p. 105).
Ahuvia (2001) suggests that reviewers can better judge the confirmability or public credibility of a qualitative content analysis if the researcher submits his original data set, codings, and justification for particular codes if necessary along with a manuscript. In a published study, the data, or at least a random subset A group of commands or functions that do not include all the capabilities of the original specification. Software or hardware components designed for the subset will also work with the original. , can be included as an appendix.
USING COMPUTER SOFTWARE
Depending on the number of documents, content analysis can be tedious and benefits enormously from the use of computers for a variety of tasks. Collectively, the software programs serve in several capacities:
* As a research assistant, making it easy to markup (text) markup - In computerised document preparation, a method of adding information to the text indicating the logical components of a document, or instructions for layout of the text on the page or other information which can be interpreted by some automatic system. the data, divide them into chunks for analysis, write notes, group together multiple instances of the same classification, and allow for global editing and coding.
* As a manipulator and extractor of data, matching the text against specialized dictionaries A specialized dictionary is a dictionary that covers a relatively restricted set of phenomena. The typical type of specialized dictionary is that which in English is often referred to as a technical dictionary and in German as a Fachwörterbuch. for coding purposes.
* As data collections, maintaining the electronic and coded versions, keeping track of all steps in the analysis, and, in the latter case, allowing for replicating the analysis.
* As a means for doing or facilitating quantitative analyses, such as frequency counts and percentages, either within the program itself or by exporting data to statistical packages, thereby eliminating errors that would occur in multiple inputs of the data. The statistical packages would usually allow for inferential statistics. (Mayring, 2000)
The programs arrange themselves on a spectrum from simply facilitating a human's coding of the electronic data to direct involvement in analyzing the document; matching terms to an electronic dictionary Noun 1. electronic dictionary - a machine-readable version of a standard dictionary; organized alphabetically
machine readable dictionary, MRD
lexical database - a database of information about words , which is a coding scheme; and coding the data. In the latter human input occurs primarily in developing the dictionary and in interpreting the results of the coding. In the middle is a set of programs that facilitates developing the dictionaries used in the latter. Lowe (2002) refers to these respectively as annotation 1. (programming, compiler) annotation - Extra information associated with a particular point in a document or program. Annotations may be added either by a compiler or by the programmer. aids, developing environments, and programs for dictionary-based content analysis. Examples of the first are NVivo (2003-2005), QSR QSR Quick Service Restaurant
QSR QoS (Quality of Service) Satisfaction Rate
QSR Quality System Regulations
QSR Quality Status Report
QSR Quality System Review
QSR Quarterly Status Report
QSR Quality System Requirement N6 (2005) and Atlas-TI (Muhr, 2004). These programs now allow for storing not only textual documents but also images and audio in electronic form. Qualitative content analysis relies more on annotation aids. Dictionary-based content analysis programs rely on several basic functions: word and category counts and frequency analyses, visualization Using the computer to convert data into picture form. The most basic visualization is that of turning transaction data and summary information into charts and graphs. Visualization is used in computer-aided design (CAD) to render screen images into 3D models that can be viewed from all (including clustering), and sometimes concordance concordance /con·cor·dance/ (-kord´ins) in genetics, the occurrence of a given trait in both members of a twin pair.concor´dant
n. generation. DIMAP-4 (Litkowski & McTavish, 2001) and KEDS (Schrodt, 1996), and TABARI (Schrodt, 2000) are examples of developing environments. WordStat 5.0 (Peladeau, 2005), VBPro (Miller, 2003), and the General Inquirer in·quire also en·quire
v. in·quired, in·quir·ing, in·quires
1. To seek information by asking a question: inquired about prices.
2. (Stone, 2002; The General Inquirer, n.d.) are examples of dictionary-based content analysis programs. LIS researchers do not always identify the software used in analyses. Agosto and Hughes-Hassell (2005) mention NVivo; Marsh (2002) uses Atlas-TI; White (1998) and Kracker and Wang (2002) use QSR NUD*IST NUD*IST Non-numerical Unstructured Data Indexing, Searching, and Theorizing , renamed, in its latest version, as QSR N6.
Content analysis is a highly flexible research method that has been widely used in LIS studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context. The LIS studies referred to in this article are not always purist pur·ist
One who practices or urges strict correctness, especially in the use of words.
pu·ristic adj. but occasionally use a hybrid approach, incorporating elements of qualitative and quantitative content analysis for good reason. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research and qualitative research. In addition, the article serves as a gateway to selected LIS studies that have used content analysis and to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly here.
n. pl. bib·li·og·ra·phies
1. A list of the works of a specific author or publisher.
Two recent texts on content analysis are Krippendorff (2004) and Neuendorf (2002). Krippendorff covers both quantitative and qualitative content analysis; Neuendorf focuses on quantitative content analysis. Neuendorf (2005) maintains a text-related Web site with many useful resources: the Content Analysis Guidebook Online (http://academic.csuohio.edu/kneuendorf/content). Titscher, Meyer, Wodak, and Vetter (2000) provide chapters for specific types of textual analysis not covered not covered Health care adjective Referring to a procedure, test or other health service to which a policy holder or insurance beneficiary is not entitled under the terms of the policy or payment system–eg, Medicare. Cf Covered. in this article; Schiffrin (1994) discusses various types of discourse analysis. Additional useful methodological chapters are Bell (2001) and Collier (2001) for content analysis of visual images and Evans (2002) for dictionary-based content analysis.
Articles reviewing software are useful but become dated quickly; Skalski's (2002) review in Neuendorf's (2002) text has a tabular presentation of software features in addition to paragraphs describing about twenty programs; his table establishes a useful framework for evaluating software. Several Web sites maintain more current reviews and/or links to content analysis software publisher pages. See, for example, the "Classification of Text Analysis Software" section of Klein's (2002-2003) Text Analysis Info Page (http://www.textanalysis.info) and the content analysis resources listed under the software section of Evans's (n.d.) Content Analysis Resources (http://www.car.ua.edu). Krippendorff's (2004) chapter 12 on computer aids is also useful for showing how computers can aid content analysis.
The Web sites mentioned above (Neuendorf, Klein, and Evans) are the most useful for content analysis researchers. Contents analysis researchers in all fields communicate informally via the Content Analysis News and Discussion List (2006) (firstname.lastname@example.org). Its archives are available at http://bama.ua.edu/archives/content.html.
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Relating to or marked by interpretation; explanatory.
in·terpre·tive·ly adv. , and reception based content analyses: Improving the ability, of content analysis to address issues of pragmatic and theoretical concern. Social Indicators Research, 54, 139-172.
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A lengthy, formal treatise, especially one written by a candidate for the doctoral degree at a university; a thesis.
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Using exactly the same words; corresponding word for word: a verbatim report of the conversation.
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The authors are grateful to Karla Hahn for permitting a quotation from a concept memo, Susan Davis Susan A. Davis (born April 13, 1944), is an American politician who has been a Democratic member of the United States House of Representatives since 2001, representing California's 53rd congressional district (map). for comments, and the authors whose works are mentioned in this article for their careful and clear presentation of their methodology.
(1.) Berelson's (1952) Content Analysis in Communications Research is considered the "first systematic presentation" of the conceptual and methodological elements of content analysis and "codified cod·i·fy
tr.v. cod·i·fied, cod·i·fy·ing, cod·i·fies
1. To reduce to a code: codify laws.
2. To arrange or systematize. the field for years to come" (Krippendorft, 2004, p. 8).
(2.) For a useful discussion and explanation of each type, see Krippendorff (2004), Schiffrin (1994), and Titscher, Meyer', Wodak, and Vetter (2000). Titscher et al. includes a map of theories and methods that is notable for illustrating relationships among them (Figure 4.1, p. 51).
(3.) Krippendorff's (2004) text considers both quantitative and qualitative content analysis. Another recent text by Neuendorf (2002) focuses on quantitative content analysis.
(4.) Any statistics text should discuss scales of measurement. See, tot example, StatSoft, Inc.'s (2004) Electronic Statistics Textbook.
(5.) See Lombard, Snyder-Duch, aim Bracken's (2005) Practical Resources for Assessing and Reporting Intercoder Reliability in Content Analysis Research Projects. This paper is invaluable in discussing the reasons for assessing and reporting intercoder reliability, the proper steps involved in doing so, the preferred statistical tests, and the information to be reported to be spoken of; to be mentioned, whether favorably or unfavorably.
See also: Report , among other topics. Krippendorff (2004) also includes useful sections on reliability, (chap (Challenge Handshake Authentication Protocol) An access control protocol for dialing into a network that provides a moderate degree of security. When the client logs onto the network, the network access server (NAS) sends the client a random value (the . 11, pp. 211-256) and validity (chap. 13, pp. 313-338).
(6.) Throughout this article, when tie, his, and him are used without the context of a specific researcher', they refer to researchers of both genders.
(7.) Lincoln and Cuba (1985) apply these to qualitative research studies generally, not just to coding, but they are also applicable in the narrower context.
Marilyn Domas White is an associate professor in the College of Information Studies at the University of Maryland, College Park The University of Maryland, College Park (also known as UM, UMD, or UMCP) is a public university located in the city of College Park, in Prince George's County, Maryland, just outside Washington, D.C., in the United States. , where she teaches in the area of information access. Her Ph.D. is in library science from the University of Illinois University of Illinois may refer to:
Use of digital computers in linguistics research. The simplest examples are the use of computers to scan text and produce such aids as word lists, frequency counts, and concordances. for Metadata (1) (meta-data) Data that describes other data. The term may refer to detailed compilations such as data dictionaries and repositories that provide a substantial amount of information about each data element. Building (CLIMB-2) Project at the University of Maryland.
Emily E. Marsh is a consultant in information science and has been an adjunct adjunct (aj´ungkt),
n a drug or other substance that serves a supplemental purpose in therapy.
adjunct faculty member at the College of Information Studies at the University of Maryland, College Park, where she teaches in the area of user behavior. Her Ph.D. is in library and information science from the University of Maryland (2002). Her areas of research interest are information design, illustration, and research methods. Recent publications include "A taxonomy of relationships between images and text," Journal of Documentation, 59(2003), 647-672, with Marilyn Domas White.
TABLE 1. SELECTED EXAMPLES OF CONTENT ANALYSIS IN LIS RESEARCH, 1991-2005 Article (a) Purpose Data Agosto & Hughes- To describe the everyday Written activity logs and Hassell, 2005 life information- transcribed semi- seeking patterns of structured group urban young adults interviews Buchwald, 2000 To explore the role of a Recorded and transcribed public interest group informant interviews, in federal information observation notes, policy making group documents Croneis & To identify the changing Job advertisements in Henderson, nature of work in College & Research 2002 academic libraries, Libraries for a focusing on positions ten-year period emphasizing electronic and digital resources Dewdney, 1992 To determine the impact Recorded and transcribed of training in reference interviews reference interviews Dilevko & To determine the Obituaries in the New Gottlieb, 2004 portrayal of York Tinges librarians in popular culture Green, 1991 To identify conceptual Abstracts in the LISA models of information database Haas & Grams, To analyze Web pages and 1,500 links contained 1998a the links they contain within 75 Web pages to develop a classification system for both Haas & Grams, To analyze links in Web 75 Weh pages and 1,500 1998b pages and develop a links contained taxonomy of functions therein. 75 Web pages and 1,500 links contained therein Haas & Grams, To discuss four 75 Web pages and 1,500 2000 overarching questions links contained arising from past two therein studies of Web pages and links Hahn, 1999 To investigate how Recorded and transcribed authors, editors and interviews readers viewed development of electronic journals; to identify how authors decided to become involved in electronic publishing and how social structures influenced the process Kracker & To investigate students' Student writings on Wang, 2002 perceptions of research paper research and research experience paper anxiety Lynch & To identify how computer Job advertisements in Smith, 2001 technology is changing College & Research academic library Libraries News positions Maloney-Krichmar To develop an in-depth Messages on an electronic & Preece, 2005 understanding of the healthsupport list; dynamics of online interviews with group interaction and participants. (c) relationship between individual participants' online and offline lives Marsh & White, To develop a thesaurus Published research 2003 of image.-text articles and books relationships Nitecki, 1993 To identify conceptual Letters and opinions in models of libraries Chronicle of Higher among three groups Education Schoch & White, To compare communication Messages on two consumer 1997 patterns of health electronic lists participants in consumer health electronic lists for a chronic and an acute disease Stansbury, 2002 To determine the nature Research-based articles of problem statements in eight core LIS in LIS articles journals Wang & Gao, 2004 To analyze the extent Technical services Web and nature of pages at U.S. academic technical services- libraries oriented Web pages in academic libraries; to determine variations by type of institution Wang & Soergel, To explore how real users Interviews with 1998 select documents for participants as they their research made judgments about projects from items in an online bibliographic searches search Wang & White, To determine how real Interviews with 1999 users make relevance participants about judgments during use decision factors for and citation phases using and citing of research projects documents in a research project White, 1998 To characterize Reference interviews questioning behavior in reference interviews preceding delegated online searches and to relate it to questioning behavior in other interviews/settings White, 2000 To characterize Messages on an questioning behavior electronic list on a consumer health electronic list White, Abels & To characterize adopters Web sites of publishers Gordon-Murnanc, and non-adopters of of business information 1998 Web for e-commerce White, Abels, & To assess the Transcripts of chat Agresta relationship between interviews (in process) chat interview quality and response quality White & livonen, To identify the reasons Brief responses to 2001 for selecting initial questionnaire question strategy in Web about reasoning for searches decision Type of External Coding Article (a) Analysis (b) Scheme Agosto & Hughes- Qualitative Hassell, 2005 Buchwald, 2000 Qualitative Croneis & Qualitative Henderson, 2002 Dewdney, 1992 Quantitative E. Z. Jennerich's Interviewing Skills Rating Scale (1974); modified to 4-point scale for each skill Dilevko & Qualitative Gottlieb, 2004 Green, 1991 Qualitative Haas & Grams, Qualitative 1998a Haas & Grams, Qualitative 1998b Haas & Grams, Qualitative 2000 Hahn, 1999 Qualitative Kracker & Qualitative/ Wang, 2002 Quantitive Lynch & Quantitative/ Yuan's (1996) Checklist of Smith, 2001 Qualitative Computer-related Codes Maloney-Krichmar Qualitative/ Bales Transactional & Preece, 2005 Quantitative Analysis Schema (1951) Benue and Sheats's (1948) Group Membership Role Classification (1948) Marsh & White, Qualitative/ 2003 Quantitative Nitecki, 1993 Qualitative Quantitative/ Bales Transactional Schoch & White, Qualitative Analysis Schema (1951) 1997 Stansbury, 2002 Qualitative/ Hernon & Metoyer-Duran Quantitative (1993) attributes of problem statements Wang & Gao, 2004 Qualitative Wang & Soergel, Qualitative 1998 Wang & White, Qualitative Wang & Soergel's (1998) 1999 Criteria for Document Selection (preliminary; modified substantially during coding) White, 1998 Qualitative/ Graesser's Typology of Quantitative Questions (Graesser, McMahen &Johnson, 1994); White's (1985) Typology of Reference Interview Content White, 2000 Qualitative/ Graesser's Typology of Quantitative Questions (Graesser, McMahen &Johnson, 1994); Roter's (1984) White, Abels & Qualitative Gordon-Murnanc, 1998 White, Abels, & Quantitative White, Abels & Kaske Agresta Typology of Turn (in process) Functions in Reference Interviews (2003) White & livonen, Qualitative 2001 (a) Complete references for items referred to in the first and last columns are in the bibliography. (b) Studies are sometimes hybrids, with characteristics predominant to one type of content analysis but with some from the other type. For these, both types are sometimes noted with the predominant form first. (c) Authors used other data in broader project; only data covered in this article or analyzed by content analysis are mentioned here. Table 2. Characteristics of Quantitative and Qualitative Content Analysis Category Quantitative Qualitative Research approach Deductive; based on Inductive; research previous research, questions guide data which allows for gathering and analysis formulating hypotheses but potential themes and about relationships other questions may among variables arise from careful reading of data Research tradition Positivist Naturalist or humanist; or orientation hermeneutics Objective To make "replicable and "To capture the valid inferences from meanings, emphasis, and texts ... to the themes of messages and contexts of their use" to understand the (Krippendorff, organization and process 2004, p. 19) of how they are presented" (Altheide, 1996, p. 33); "Search for multiple interpretations by considering diverse voices (readers), alternative perspectives (from different ideological positions), oppositional readings (critiques), or varied uses of the texts examined (by different groups)" (Krippendorff, 2004, p. 88) Data: Nature Syntactic, semantic, or Syntactic, semantic, or pragmatic categories; pragmatic categories; naturally occurring naturally occurring texts or text generated texts or text generated for project for project Data: Selection Systematic, preferably Purposive sampling to random, sampling to allow for identifying allow for complete, accurate generalization to answers to research broader population; questions and presenting data selection usually the big picture; complete prior to selection of data may coding continue throughout the project Categorization Coding scheme developed Coding scheme usually schema a priori in accord with developed in the process testing hypotheses; if of close, iterative adjustments are made reading to identify during coding, items significant concepts and already coded must be patterns recoded with the revised scheme; may use coding scheme(s) from other studies Coding Objective; tests for Subjective; in some reliability and cases, use of memos to validity document perceptions and formulations; techniques for increasing credibility, transferability, dependability, and confirmability of findings Argument basis Frequency, indicating Deep grounding in the for proof, existence, intensity, data; if numbers are and relative presented, they are importance; data allow usually presented as for statistical testing counts and percentages; of hypotheses; description of specific objectives are usually situation or case to generalize to accurately and broader population and thoroughly; may involve to predict; triangulation based on interpretations may be multiple data sources supported by quotations for same concept; may from text use techniques to develop grounded theory to relate concepts and to suggest hypotheses that can be tested deductively; presenta- tion "Support [s] interpretations by weaving quotes from the analyzed texts and literature about the contexts of those texts into their conclusions, by constructing parallelisms, by engaging in triangulations, and by elaborating on any metaphors they can identify" (Krippendorff, 2004, p. 88) Use of computers For dictionary-based As annotation and content analysis or for searching aids; developing environments representative software: prior to dictionary- Atlas. TI oi NVivo based content analysis; also for statistical tests; representative software for content analysis: VBPro, WordStat