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False recognition in DRM lists with low association: A normative study/ Reconocimiento falso en listas DRM con asociacion baja: Estudio normativo.

These new DRM lists will allow researchers to explore false memory effects when words are weakly associated among them.

The study of false memories has captured the attention of cognitive psychology researchers in the past decades (Gallo, 2010). A largely extended procedure employed to induce memory distortions is the Deese/Roediger-McDermott (DRM) paradigm, where participants study lists of words associated to another nonpresented word (critical word), according to free-association norms. Subsequently, that critical word is frequently recalled and/or recognized in a memory test, giving place to robust false memory effects (Deese, 1959; Roediger & McDermott, 1995). In Stadler, Roediger, and McDermott's (1999) study, for example, participants studied the words door, glass, pane, shade, ledge, sill, house, open, curtain, frame, view, breeze, sash, screen and shutter. Later, in the memory test, 84% of them falsely recognized the critical word WINDOW as if it had been studied.

One of the most common findings in memory distortion research conducted with the DRM paradigm is a wide variability in rates of false memory among the lists (e.g., Beato & Arndt, 2014; Brainerd, Yang, Reyna, Howe, & Mills, 2008). Several efforts have been made to understand the processes that underlie this phenomenon (for a review, see Gallo, 2010). Research has pointed at some critical words' psycholinguistic indicators as potentially involved in false memory production, namely age of acquisition or AoA (e.g., Howe, Gagnon, & Thouas, 2008), word length (e.g., Roediger, Watson, McDermott, & Gallo, 2001) or written frequency (e.g., Arndt & Hirshman, 1998). Also, some researchers have found that inter-item association or connectivity (i.e., the density of the associations that link studied words) could play an important role in false memory (Deese, 1959; Knott, Dewhurst, & Howe, 2012; McEvoy, Nelson, & Komatsu, 1999). In any case, in order to explain the wide variability in false memory, most studies have focused on the associative strength that bound the critical and studied words together. This associative strength can be forward (forward associative strength or FAS: associative strength from critical words to studied words) and backward (backward associative strength or BAS: associative strength from studied words to critical words).

Whereas there is evidence that points at the crucial role FAS plays on false memory (e.g., Arndt, 2015; Brainerd et al., 2008), most researchers believe that BAS is the main predictor of false memory in the DRM studies, finding higher false memory in higher BAS lists (e.g., Deese, 1959; Gallo & Roediger, 2002; McEvoy et al., 1999; Robinson & Roediger, 1997; Roediger et al., 2001). In this regard, we must emphasize that although these studies have highlighted the role of BAS on false memory variability, most of them used DRM lists built based upon the forward associative strength (FAS), following Deese's (1959) procedure, to reach this conclusion. In this regard, some authors have suggested that it would be more appropriate the use of BAS lists in DRM research (Beato & Diez, 2011; Carneiro, Ramos, Costa, Garcia-Marques, & Albuquerque, 2011). Furthermore, the few studies that have resorted to BAS lists have not controlled the amount of FAS (Arndt, 2012; McEvoy et al., 1999; for an exception see Arndt, 2015, Exp. 1b). As both backward associative strength and forward associative strength are correlated with false memories (Brainerd et al., 2008), it is important to separate the contributions of the two types of association in order to understand the specific role that each one plays on false memory. Otherwise, it may happen that uncontrolled, parallel associative processes are intervening on the statement that backward association is the main responsible on false memory variability (e.g., high FAS in high BAS lists, superadditive effects of FAS and BAS, etc.). Since BAS effects in actual FAS-free BAS lists have not been investigated in detail, we built DRM lists manipulating BAS, while explicitly controlling and keeping FAS values around zero.

Another interesting issue is that, while there are studies that highlight the role of BAS on false memory, there is also evidence that low BAS lists can elicit high levels of false memory, comparable to that observed on high BAS lists (e.g., Arndt, 2012; Gallo & Roediger, 2002; Knott et al., 2012; Robinson & Roediger, 1997). In Gallo and Roediger's (2002) Experiment 3, for example, high false recognition rates (41%) were found with low BAS lists ([M.sub.BAS] = 0.036), as well as with high BAS lists (MBAS = 0.213, 49% of false recognition). For its part, McEvoy et al. (1999) also found high false recognition in both high ([M.sub.BAS] = 0.204) and low ([M.sub.BAS] = 0.038) BAS lists (59% and 47%, respectively). More recently, Knott et al. (2012, Exp. 1) compared high ([M.sub.BAS] = 0.279) and low BAS lists ([M.sub.BAS] = 0.111) and found nonsignificant differences on false recognition rates (56% and 51%, respectively).

All the studies mentioned so far included DRM lists with one critical word, following Deese's (1959) and Roediger and McDermott's (1995) initial proposal. Recently, a different methodology to build DRM lists started to be employed so lists could include three--and not just one--critical words per list (Beato & Arndt, 2014; Beato, Boldini, & Cadavid, 2012; Beato & Diez, 2011; Cadavid & Beato, 2016; Cadavid, Beato, & Fernandez, 2012). Beato and Diez's (2011) procedure to build associative lists with more than one critical word aims to increase the statistical power of the classic DRM paradigm. Therefore, lists with three critical words could be very useful to experimental environments where several critical trials are needed in order to perform robust statistical analyses, such as neuroimaging and electrophysiological research (Beato et al., 2012;

Cadavid & Beato, 2016), studies with clinical samples, or any others experimental settings that have to deal with small effects.

As mentioned above, there is evidence that indicates there could be high false recognition in low BAS lists. However, to our knowledge, there are not normative studies where the BAS effect on false memory is thoroughly explored by continuously decreasing its values until the minimum possible levels of association, neither in one-critical-word lists nor in three-critical-word lists. Given the lack of research in this area, the purpose of this study was to provide new normative data on three-critical-word DRM lists with very low, even minimal, backward association. These materials could be used by researchers to analyse the robustness of false memory phenomena adopting a quite different approach to that used so far. Until now, researchers have increased the associative strength of their materials or have preferred high BAS lists to conduct false memory research. We suggest that it might also be interesting to explore false memory in adverse associative conditions (i.e., low BAS lists), as they could share some features with real-life situations, or at least to a greater extent than ideal associative conditions (i.e., high BAS lists).

In Beato and Diez's (2011) normative study with Spanish speakers, false recognition indexes were obtained to 60 three-critical-word DRM lists which were drawn up based on the BAS. These lists covered a wide range of mean BAS (0.094 to 0.222). Resorting to Beato and Diez's (2011) methodology to build our materials, in the present normative study, we obtained false recognition in 48 DRM lists with three critical words per list. The BAS values per list in our study covered the lower-end of the spectrum of BAS. Starting with BAS values just under those used by Beato and Diez (2011), we systematically decreased the associative strength, reaching exceptionally low BAS values, never explored before.

In general, we expected to provide new materials useful to explore, in Spanish speakers, the role of several variables on false memory when associative relationships among the words are weak. More specifically, we aimed, first, to make available new materials that could be employed by researchers interested in understanding the role of BAS on false memory, especially to those concerned with the underlying mechanisms of false memory when associative strength is kept very low. Second, we expected to deliver suitable materials for studies where a high number of critical trials is needed to improve statistical power.

METHOD

Participants. One hundred and forty-one undergraduate students voluntarily participated in the study (73% women), signed an informed consent and received course credit in exchange for their participation. Participants were native Spanish speakers and their age ranged from 18 to 31 years (M = 22.10, SD = 2.37).

Materials. Forty-eight lists composed of six associates and three critical words per list were constructed based upon the associative strength from studied words to critical words (i.e., backward associative strength or BAS) (see Appendix for detailed information).

Free-association norms in Spanish for 4051 words were used to build the DRM lists (Fernandez, Diez, & Alonso, 2011). This database included 195,187 pairs of associate words. With the aid of a Perl program, it was possible to detect 85,410 sets of six or more words that produced the same three elements. From these sets, we selected 48 lists composed of six items (i.e., studied words) simultaneously associated to three words (i.e., critical words) (for an example, see Figure 1).

Lists were constructed following Beato and Diez's (2011) criteria and were digitalized with a male voice. Specifically, the following criteria were established:

1) Gender and number variations were excluded, maintaining only the word with the highest associative value.

2) Idiosyncratic answers were excluded. The minimum possible association between a studied and critical word was 0.010.

3) As in previous studies, the BAS values per critical word (hereafter, BAS per critical word) were calculated as the mean of the associative strengths of the six studied words in regard with that particular critical word. The BAS per critical word was [greater than or equal to] 0.010. For example, in List 01 (see Appendix), depicted in Figure 1, the critical word MIEDO [FEAR] has a BAS value of 0.010, obtained by averaging the associative strength of its six associates: espia [spy] 0.010, infierno [hell] 0.010, puno [fist] 0.010, pelea [fight] 0.010, rapto [abduction] 0.010, and mortal [mortal] 0.010. In this case, MIEDO [FEAR] is an example of a critical word with the lowest possible association.

4) Within each list, care was taken to assure the three BAS values per critical word were similar among them.

5) BAS values per list (hereafter, BAS per list) were obtained by averaging the three values of BAS of each list (one per critical word). Taking again as an example the List 01 depicted in Figure 1, its BAS per list is 0.011. This value is the average of the three critical lures of that list: GUERRA [WAR] 0.013, MALO [BAD] 0.010, and MIEDO [FEAR] 0.010 (see Appendix).

In the current normative study, the BAS per list ranged from BAS values examined in previous works with similar materials (Beato & Diez, 2011) to the minimum associative strength theoretically possible. Specifically, our BAS list ranged between 0.089 and 0.011 (M = 0.046, SD = 0.023). The BAS per critical word for the 144 critical items ranged from 0.010 to 0.104 (M = 0.046, SD = 0.024). Furthermore, as noted above, it is important to disentangle the contributions of BAS and FAS (forward associative strength) on false recognition. Consequently, in our lists, FAS values were kept around zero. Thus, FAS would not contribute substantially to overall false memory levels (FAS per list: M = 0.005, SD = 0.005; FAS per word: M = 0.005, SD = 0.007).

The recognition test included 192 items (96 studied, 48 critical words, 8 unrelated critical-distractors and 40 unrelated-distractors), which were pseudorandomized following criteria proposed in previous research (Gallo & Roediger, 2002). Specifically, we ensured that words belonging to the same list were separated by two or more items from other lists. Plus, critical words were separated from each other for at least two items. There were six versions of the recognition test. Distractors were obtained from eight DRM lists published by Alonso, Fernandez, Diez, and Beato (2004). Unrelated critical-distractors were the critical words of those lists, whereas unrelated-distractors were associates.

Participants' answers were collected in response booklets with sixteen pages of unsolved arithmetic operations series. The yes/no recognition test was at the end of the booklet.

Procedure. The study was run in sessions with 27 to 54 participants employing a procedure used in previous normative studies (Beato & Arndt, 2014; Beato & Diez, 2011). Lists were distributed in three sets of sixteen lists to avoid word repetition within a session (n per list ranged from 37 to 54 people). Participants were instructed to listen carefully to six-word lists because they would be given a memory test. Associative characteristics of the lists were not revealed at any point of the study. An example list extracted from Alonso et al. (2004) was played so participants could be familiarized with the digital voice and the presentation rate (one word every 2000 ms). Participants were also informed their mathematical skills would be tested through simple arithmetic operations. The order of presentation of the lists was randomized, whereas the presentation order of the words within each list always followed a decreasing order of associative strength. After each list, participants had 30 seconds to solve arithmetic operations. Finally, they completed a self-paced recognition memory test. For each word, participants had to decide whether it was presented in the study phase or not by circling "YES" or "NO" (old/new judgement). Once participants finished the recognition test, the experimental session concluded, and participants were debriefed and dismissed.

RESULTS AND DISCUSSION

True recognition

The mean percentage of true recognition for the 288 studied words was 63% (SD = 14.93), which was significantly better-than-chance performance, t(140) = 10.11, p < .001. True recognition for the 288 studied words ranged between 13% (tono [tone], List 46) and 100% (alcohol [alcohol], List 11). For its part, the 48 lists had true recognition values ranging between 41% (List 18: ALEGRIA [JOY], BIEN [WELL], FELICIDAD [HAPPINESS], disfrute [enjoyment], reir [to laugh], cantar [to sing], contento [pleased], enhorabuena [congratulations], vivir [to live]) and 82% (List 34: FOLIO [FOLIO], HOJA [SHEET], PAPEL [PAPER], doblar [to fold], margen [margin], grapa [staple], copia [copy], clip [clip], arrugado [crumpled]). These values were very similar to those found in Beato and Diez (2011) and in Cadavid et al. (2012) also employing three-critical-word BAS lists, even with different levels of BAS (see Table 1).

Table 1. Range of backward associative strength per list (BAS range), percentages [and ranges] of true recognition, false recognition, and false alarms to unrelated critical-distractors and unrelated-distractors in DRM studies with three-critical-word lists.

False recognition

False recognition per word (144 critical items) ranged from 6% (ROPA [CLOTHING], List 37) to 78% (CATASTROFE [CATASTROPHE], List 23), whereas false recognition per list ranged from 10% (List 24: ANIMAL [ANIMAL], GATO [CAT], PERRO [DOG], celo [heat], cola [tail], manso [docile], peludo [furry], zarpa [claw], presa [prey]) to 62% (List 5: DOLOR [PAIN], MUERTE [DEATH], TRISTEZA [SADNESS], odio [hatred], hambre [hunger], inanicion [starvation], morir [to die], huerfano [orphan], consolado [consoled]). The mean percentage of false recognition for the 48 lists was 34% (SD = 11.61).

A one-way repeated measures analysis of variance (ANOVA) compared the percentages of studied words, critical words, unrelated-distractors, and unrelated critical-distractors that were judged "old" in a recognition memory test. Results showed significant differences between the types of words, F(3, 420) = 566.05, p < .001, [[eta].sup.2.sub.p] = 0.80 (see Table 1). Post-hoc Bonferroni comparisons indicated that the percentage of studied words correctly remembered (true recognition) was significantly higher than false alarms to critical words (false recognition), false alarms to unrelated critical-distractors, and false alarms to unrelated-distractors (p < .001 for the three comparisons, see Table 1). Both unrelated critical-distractors and unrelated-distractors showed very low rates of false alarms, and no significant differences were found between them (p = .094). Finally, a false recognition effect was found, as false alarms to critical words were significantly higher than false alarms to unrelated critical-distractors and to unrelated-distractors (p < .001 for both comparisons).

Comparing our results with data obtained in previous false recognition studies with similar materials and procedures (i.e., three-critical-word BAS lists) (Beato & Diez, 2011; Cadavid et al., 2012), we can observe similar patterns (see Table 1). Despite the very low levels of BAS, our false recognition range was wide, replicating a phenomenon systematically found in DRM literature with (1) three-critical-word BAS lists (Beato & Diez, 2011; Cadavid et al., 2012) (see Table 1), (2) three-critical -word FAS lists (Beato & Arndt, 2014), (3) one-critical-word FAS lists (e.g., Albuquerque, 2005; Alonso et al., 2004; Gallo & Roediger, 2002; Roediger & McDermott, 1995; Stadler et al., 1999), and (4) one-critical-word BAS lists (e.g., McEvoy et al., 1999, Exp. 1). Consequently, our lists showed results that are consistent with earlier normative studies.

Conclusions

We employed a widely used experimental procedure to induce associative illusions of memory, the DRM paradigm, to provide normative data of false recognition when the materials present extremely weak associative relationships. In previous DRM research, attention has been devoted to the effects of high associative strengths on false memory production. In particular, several researchers have pointed at the existence of a strong relationship between false memory and backward associative strength (BAS; i.e., associative strength that links the studied words in the lists with their critical item) (e.g., Deese, 1959; Gallo & Roediger, 2002; Robinson & Roediger, 1997; Roediger, et al., 2001). As a consequence, the study of the false memory phenomena in the lower-end of the BAS spectrum has been neglected to some extent. In addition, several studies have found high false memory rates even with low levels of associative strength (e.g., Arndt, 2012; Cadavid et al., 2012; Knott et al., 2012; Robinson & Roediger, 1997). Moreover, most studies that point at the critical role of BAS in false memory does not control for the forward associative strength (FAS; i.e., associative strength that links the critical item with its related studied words) present in the lists. As both FAS and BAS have been related to false memories (Brainerd et al., 2008), it seems critical to take both types of associative strength into consideration. Thereby, it is essential to get to know how false memories are produced with low levels of BAS, when FAS levels are controlled.

In our study, we provided false recognition data gathered with low BAS lists in Spanish. Specifically, we built 48 three-critical-word lists according to BAS, covering a spectrum of low BAS values that had not been previously explored, while keeping FAS values almost null.

Regarding the results, as in previous studies where three-critical-word lists were used (Beato et al., 2012; Beato & Diez, 2011; Cadavid et al., 2012), our lists produced false recognition (M = 34%), making them useful to study memory distortions in controlled experimental environments. Besides, a wide variability in false recognition per list was found (range: 10-62%), replicating numerous studies conducted with the DRM paradigm (for a review, see Gallo, 2010).

Our findings go along previous experiments where even with low BAS levels it was possible to find false recognition (e.g., Arndt, 2012; Cadavid et al., 2012; Gallo & Roediger, 2002; Knott et al., 2012; Robinson & Roediger, 1997). At the same time, the present results seem to challenge the view that high levels of BAS are necessary to obtain considerable levels of false memory. However, more research needs to be done in order to shed light on the actual role of BAS on false memory in the DRM paradigm. Precisely, as our lists included three critical words instead of just one, these materials can be employed not only in behavioural studies where more than one critical word is convenient, but also in studies interested in unravelling the neural underlying mechanisms of false memory (e.g., ERP studies).

Therefore, the present materials constitute a useful tool for researchers interested in exploring the variability in false memory production. Specifically, the pool of the lists normed in the present study can be used in research designed to better understand the mental processes that lead to false memories when materials are weakly associated. Previous studies had left a gap to fill regarding BAS levels and our lists contribute to fill that gap. Now, the full spectrum of BAS is covered, opening a wide range of experimental possibilities.

APPENDIX

The 48 DRM lists in Spanish with their approximated English translation, percentage of true recognition per list (TR list), false recognition (FR) per list and per critical word (Critical 1, Critical 2, Critical 3), and the backward associative strength (BAS) values in brackets. Lists appear in increasing order of BAS per list.
CRITICAL 1/CRITICAL 2/CRITICAL 3: Six associated    TR list
    words (Approximated English translation)

List 01   GUERRA/MALO/MIEDO: espia, infierno,        62.2
            puno, pelea, rapto, mortal (WAR/BAD/
            FEAR: spy, hell, fist, fight,
            abduction, mortal)
List 02   EXAMEN/FACIL/TRABAJO: ejercicio,           55.0
            introduccion, aplicacion, exigencia,
            memoria, importante (EXAM/EASY/WORK:
            exercise, introduction, application,
            demand, memory, important)
List 03   ANGUSTIA/LLORAR/PENA: llanto,              74.3
            afligido, deprimido, desazon,
            alivio, victimismo (ANGUISH/TO CRY/
            SORROW: crying, mournful, depressed,
            unease, relief, sense of
            victimization)
List 04   HONOR/NOBLEZA/PERSONA: lealtad,            78.4
            nobiliario, integridad, orgullo,
            solemnidad, duque (HONOR/NOBILITY/
            PERSON: loyalty, nobility,
            integrity, pride, solemnity, duke)
List 05   DOLOR/MUERTE/TRISTEZA: odio, hambre,       61.3
            inanicion, morir, huerfano,
            consolado (PAIN/DEATH/SADNESS:
            hatred, hunger, starvation, to die,
            orphan, comforted)
List 06   LIMPIEZA/SUCIEDAD/SUCIO: limpiar,          65.3
            germenes, basura, bastoncillo,
            fregadero, servilleta (CLEANLINESS/
            DIRT/DIRTY: to clean, germs, trash,
            cotton swab, sink, napkin)
List 07   BOSQUE/CAMPO/MONTE: natural, conejo,       65.8
            valle, liebre, roble,refugio (FOREST
            /FIELD/HILL: natural, rabbit,
            valley, hare, oak, refuge)
List 08   ALEGRIA/CONTENTO/SONRISA: carcajada,       61.3
            jubiloso, animado, agrado,
            agradecer, esperanzado (JOY/PLEASED
            /SMILE: guffaw, jubilant, cheerful,
            kindness, to thank, hopeful)
List 09   BEBE/CARINO/NINO: dulzura, hijo,           76.6
            tierno,protegido, acurrucarse,
            peluche (BABY/FONDNESS/CHILD:
            gentleness, son, tender, protected,
            to cuddle, teddy)
List 10   CAMISA/PANTALON/ROPA: chaqueta,jersey,     66.2
            sueter, roto, rayas, amigado (SHIRT/
            TROUSERS/CLOTHING: jacket, jersey,
            sweater, tom, stripes, wrinkled)
List 11   DIVERSION/FIESTA/NOCHE: club, marcha,      67.6
            droga, alcohol, concierto, cantar
            (FUN/PARTY/NIGHT: club, going out,
            drag, alcohol, concert, to sing)
List 12   JUEZ/JUICIO/LEY: juramento, enmienda,      67.6
            justo, defensor, penal, defendido
            (JUDGE/TRIAL/LAW: oath, amendment,
            fair, defender, criminal, defendant)
List 13   ENFERMO/HOSPITAL/MEDICO: medicina,         55.9
            salud, dolencia, visita, vims,
            intemo (SICK/HOSPITAL/DOCTOR:
            medicine, health, ailment, visit,
            vims, internal)
List 14   INTELIGENCIA/LISTO/SABIO: erudicion,       68.5
            genio, inculto, tenacidad,
            cientifico, elocuencia (INTELLIGENCE
            /SMART/WISE: erudition, genius,
            uncultured, tenacity, scientific,
            eloquence)
List 15   CURA/IGLESIA/RELIGION: papa, doctrina,     62.2
            blasfemia, reverencia, mistico,
            suplica (CLERGYMAN/CHURCH/RELIGION:
            pope, doctrine, blasphemy,
            reverence, mystic, plea)
List 16   DEPRESION/MIEDO/TRISTEZA: ansiedad,        67.3
            penuria, suspenso, suicidio,
            preocupacion, desesperacion
            (DEPRESSION/FEAR/SADNESS: anxiety,
            dearth, failing grade, suicide,
            worry, desperation)
List 17   CLASE/COLEGIO/ESCUELA: primaria,           71.2
            leccion, aprender, academia, punzon,
            promocion (CLASS/SCHOOL/SCHOOL:
            elementary school, lesson, to learn,
            academy, punch, class)
List 18   ALEGRIA/BIEN/FELICIDAD: disfrute,          41.3
            reir, cantar, contento, enhorabuena,
            vivir (JOY/WELL/HAPPINESS:
            enjoyment, to laugh, to sing,
            pleased, congratulations, to live)
List 19   LECTURA/LEER/LIBRO: introduccion,          49.9
            revista, periodico, narracion,
            redaccion, letras (READING/TO READ/
            BOOK: introduction, magazine,
            newspaper, narration, composition,
            humanities)
List 20   ENFERMEDAD/HOSPITAL/SALUD: sana,           60.3
            gangrena, medicina, jeringuilla,
            emergencia, curar (DISEASE/HOSPITAL/
            HEALTH: healthy, gangrene, medicine,
            syringe, emergency, to heal)
List 21   DINERO/PODER/RIQUEZA: poderoso,            58.7
            burguesia, aristocracia, tener,
            limusina, marques (MONEY/POWER/
            WEALTH: powerful, bourgeoisie,
            aristocracy, to have, limousine,
            marquis)
List 22   DANO/DOLOR/MALO: golpe, resentirse,        55.3
            malicia, odio, veneno, violento
            (HARM/PAIN/BAD: hit, to resent,
            malice, hatred, poison, violent)
List 23   CATASTROFE/DESASTRE/HORROR: fatalidad,     61.7
            terremoto, masacre, terrible,
            barbarie, atrocidad (CATASTROPHE/
            DISASTER/HORROR: fatality,
            earthquake, massacre, terrible,
            brutality, atrocity)
List 24   ANIMAL/GATO/PERRO: celo, cola, manso,      55.3
            peludo, zarpa, presa (ANIMAL/CAT/
            DOG: heat, tail, docile, furry,
            claw, prey)
List 25   CAMISA/PANTALON/ROPA: blusa,               57.0
            corchetes, chaqueta,jersey, roto,
            arrugado (SHIRT/TROUSERS/CLOTHING:
            blouse, snap fastener, jacket,
            jersey, tom, wrinkled)
List 26   ARMA/GUERRA/MUERTE: escopeta, herido,      52.3
            balas, matar, lanza, guerrero
            (WEAPON/WAR/DEATH: shotgun, wounded,
            bullets, to kill, lance, warrior)
List 27   OJO/VER/VISION: percepcion, lentillas,     63.3
            lupas,perspectiva, optica, ciego
            (EYE/TO SEE/VISION: perception,
            contad lenses, magnifiers,
            perspective, optics, blind)
List 28   CAMPO/MONTANA/MONTE: excursion,            54.7
            paisaje, valle, pradera, brujula,
            sendero (FIELD/MOUNTAIN/HILL:
            excursion, landscape, valley,
            meadow, compass, trail)
List 29   CLASE/COLEGIO/ESCUELA: primaria,           62.3
            leccion, carpeta, ensenanza,
            instituto, aprender (JOY/HAPPINESS/
            SMILE: elementary school, lesson,
            folder, education, secondary school,
            to learn)
List 30   AMOR/CARINO/NINO: mama, dulzura, hijo,     57.3
            cuidado, protegido, encanto (LOVE/
            FONDNESS/CHILD: mum, gentleness,
            son, care, protected, charming)
List 31   CURA/IGLESIA/RELIGION: bendecir,           64.0
            biblia, plegaria, monasterio,
            blasfemia, mistico (CLERGYMAN/CHURCH
            /RELIGION: to bless, bible, prayer,
            monastery, blasphemy, mystic)
List 32   DESASTRE/HORROR/MUERTE: masacre,           80.2
            fatalidad, catastrofe, terremoto,
            tragedia, barbarie (DISASTER/HORROR/
            DEATH: massacre, fatality,
            catastrophe, earthquake, tragedy,
            brutality)
List 33   CARCEL/LIBERTAD/PRISION: cautiverio,       61.3
            encierro, encerrado, reo, represion,
            esclavo (JAIL/FREEDOM/PRISON:
            captivity, confinement,pent-up,
            prisoner, repression, slave)
List 34   FOLIO/HOJA/PAPEL: doblar, margen,          81.8
            grapa, copia, clip, amigado (FOLIO/
            SHEET/PAPER: to fold, margin,
            staple, copy, clip, crumpled)
List 35   DIOS/IGLESIA/MISA: mandamiento,            70.1
            oracion, bendecir, devocion,
            comunion, gloria (GOD/CHURCH/MASS:
            commandment, prayer, to bless,
            devotion, communion, glory)
List 36   LAGRIMA/LLORAR/TRISTEZA: lacrimal,         61.4
            llanto, despedida, emocion, infeliz,
            llover (TEAR/TO CRY/SADNESS:
            lachrymal, crying, farewell,
            emotion, unhappy, to rain)
List 37   ABRIGO/CHAQUETA/ROPA: cuero,               45.9
            gabardina, boton, colgar, chaleco,
            corchetes (COAT/JACKET/CLOTHING:
            leather, gabardine, button, to hang,
            vest, snap fastener)
List 38   ALCOHOL/BEBER/BEBIDA: ron, cerveza,        67.6
            tomar, botella, bar, copa (ALCOHOL/
            TO DRINK/DRINK: rum, beer, to drink,
            bottle, bar, drink)
List 39   BOSQUE/CAMPO/MONTE: excursion, seta,       67.3
            cabana, ciervo, verde, pradera
            (FOREST/FIELD/HILL: excursion,
            mushroom, cottage, deer, green,
            meadow)
List 40   AMOR/CARINO/MADRE: ternura, dulzura,       56.8
            hijo, apreciacion, consuelo,
            comprension (LOVE/FONDNESS/MOTHER:
            tenderness, gentleness, son,
            fondness, comfort, comprehension)
List 41   CINE/PELICULA/TEATRO: actor, actriz,       71.3
            estrena, actuar, comedia, reparto
            (CINEMA/FILM/THEATRE: actor,
            actress, premiere, to act, comedy,
            cast)
List 42   INTELIGENCIA/LISTO/SABIO: astucia,         68.2
            sabiduria, ingenio, erudicion,
            genio, inculto (INTELLIGENCE/SMART/
            WISE: astuteness, wisdom, ingenuity,
            erudition, genius, uncultured)
List 43   CARCEL/LADRON/POLICIA: detencion,          61.4
            robo, mazmorra, delito,
            persecutoria, vigilancia (JAIL/THIEF
            /POLICE: detention, robbery,
            dungeon, crime, relative to
            persecution, vigilance)
List 44   FUMAR/HUMO/TABACO: pipa, puro,             75.6
            cenicero,pulmones, mechero, habano
            (TO SMOKE/SMOKE/TOBACCO: pipe,
            cigar, ashtray, lungs, lighter,
            havana cigar)
List 45   AGUA/BARCO/MAR: marina, salvavidas,        64.2
            dique, naufrago, isla, exportacion
            (WATER/BOAT/SEA: marine, lifejacket,
            dyke, castaway, island, exportation)
List 46   MUSICA/RUIDO/SONIDO: acustica, tambor,     42.3
            tono, cascabel, sonar, grillos
            (MUSIC/NOISE/SOUND: acoustic, drum,
            tone, rattle, to sound, crickets)
List 47   ENFERMEDAD/HOSPITAL/MEDICO: clinica,       63.6
            sanidad, paciente, sarampion,
            dolencia, curar (DISEASE/HOSPITAL/
            DOCTOR: clinic, health service,
            patient, measles, ailment, to heal)
List 48   DINERO/SUELDO/TRABAJO: empleo, jornal,     60.5
            aumento, ganancias, jefe, mensual
            (MONEY/WAGE/WORK: job, day wage,
            raise, profits, boss, monthly)

                                  FR [BAS]
             List        Critical 1     Critical 2     Critical 3

List 01   21.6-[0.011]   27.0-[0.013]   8.1-[0.010]    29.7-[0.010]

List 02   18.9-[0.013]   35.1-[0.015]   8.1-[0.012]    13.5-[0.013]

List 03   41.4-[0.015]   48.7-[0.012]   54.1-[0.012]   21.6-[0.017]

List 04   36.9-[0.016]   40.5-[0.018]   54.1-[0.013]   16.2-[0.017]

List 05   62.2-[0.017]   48.7-[0.015]   73.0-[0.021]   64.9-[0.015]

List 06   44.1-[0.018]   51.4-[0.013]   46.0-[0.021]   35.1-[0.018]

List 07   27.9-[0.019]   32.4-[0.019]   27.0-[0.020]   24.3-[0.017]

List 08   37.8-[0.022]   59.5-[0.028]   27.0-[0.019]   27.0-[0.018]

List 09   41.4-[0.023]   37.8-[0.018]   48.7-[0.025]   37.8-[0.027]

List 10   23.5-[0.025]   24.3-[0.024]   13.9-[0.024]   32.4-[0.028]

List 11   41.4-[0.026]   37.8-[0.019]   64.9-[0.031]   21.6-[0.028]

List 12   49.9-[0.027]   41.7-[0.028]   64.9-[0.026]   43.2-[0.028]

List 13   38.9-[0.028]   48.7-[0.028]   22.2-[0.023]   46.0-[0.033]

List 14   26.1-[0.029]   37.8-[0.023]   10.8-[0.032]   29.7-[0.032]

List 15   25.2-[0.031]   35.1-[0.035]   18.9-[0.027]   21.6-[0.030]

List 16   38.0-[0.031]   42.0-[0.027]   34.0-[0.025]   38.0-[0.042]

List 17   37.8-[0.033]   27.0-[0.032]   40.5-[0.033]   46.0-[0.032]

List 18   34.7-[0.034]   48.0-[0.046]   10.0-[0.023]   46.0-[0.034]

List 19   33.3-[0.035]   40.0-[0.025]   22.0-[0.035]   38.0-[0.046]

List 20   39.3-[0.038]   44.0-[0.048]   38.0-[0.030]   36.0-[0.034]

List 21   45.3-[0.039]   22.0-[0.065]   64.0-[0.028]   50.0-[0.025]

List 22   28.2-[0.041]   28.6-[0.042]   38.0-[0.056]   18.0-[0.027]

List 23   59.3-[0.043]   78.0-[0.028]   60.0-[0.058]   40.0-[0.044]

List 24   10.0-[0.044]   18.0-[0.053]   6.0-[0.036]    6.0-[0.043]

List 25   26.7-[0.045]   44.0-[0.053]   18.0-[0.039]   18.0-[0.042]

List 26   41.0-[0.046]   49.0-[0.037]   38.0-[0.061]   36.0-[0.041]

List 27   28.2-[0.048]   24.5-[0.051]   18.0-[0.051]   42.0-[0.041]

List 28   34.0-[0.049]   34.0-[0.054]   38.0-[0.043]   30.0-[0.051]

List 29   49.0-[0.050]   48.0-[0.052]   46.0-[0.062]   53.1-[0.037]

List 30   36.0-[0.050]   24.0-[0.063]   54.0-[0.052]   30.0-[0.037]

List 31   45.6-[0.051]   46.0-[0.052]   42.9-[0.052]   48.0-[0.050]

List 32   30.2-[0.055]   68.5-[0.067]   ll.l-[0.035]   ll.l-[0.064]

List 33   44.0-[0.056]   50.0-[0.098]   28.0-[0.027]   54.0-[0.043]

List 34   33.6-[0.057]   35.9-[0.053]   37.0-[0.045]   37.0-[0.062]

List 35   18.6-[0.061]   5.7-[0.043]    25.9-[0.063]   24.1-[0.055]

List 36   56.5-[0.061]   50.0-[0.061]   58.5-[0.055]   61.1-[0.068]

List 37   17.3-[0.063]   22.2-[0.066]   24.1-[0.074]   5.6-[0.049]

List 38   40.1-[0.068]   29.6-[0.066]   53.7-[0.065]   37.0-[0.072]

List 39   26.5-[0.070]   22.2-[0.070]   31.5-[0.068]   25.9-[0.073]

List 40   19.1-[0.075]   ll.l-[0.092]   33.3-[0.069]   13.0-[0.065]

List 41   19.1-[0.076]   ll.l-[0.069]   22.2-[0.086]   24.1-[0.073]

List 42   34.0-[0.077]   31.5-[0.077]   9.3-[0.080]    61.1-[0.075]

List 43   29.6-[0.079]   35.2-[0.088]   38.9-[0.060]   14.8-[0.089]

List 44   39.5-[0.082]   44.4-[0.099]   35.2-[0.073]   38.9-[0.072]

List 45   14.8-[0.083]   7.4-[0.072]    24.1-[0.088]   13.0-[0.090]

List 46   18.5-[0.084]   16.7-[0.087]   14.8-[0.090]   24.1-[0.075]

List 47   31.5-[0.085]   44.4-[0.093]   35.2-[0.079]   14.8-[0.083]

List 48   38.3-[0.089]   14.8-[0.085]   61.1-[0.078]   38.9-[0.104]


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Sara Cadavid * (1) and Maria Soledad Beato (2)

(1) University of Minho, Portugal.

(2) University of Salamanca, Spain.

* Acknowledgments: This study was partially conducted at Psychology Research Centre (UID/PSI/01662/2013), University of Minho, and supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education through national funds and co-financed by FEDER through COMPETE2020 under the PT2020 Partnership Agreement (POCI-01-0145-FEDER -007653). Also, this work was partially conducted at the Faculty of Psychology, University of Salamanca (Spain) (FPI-USAL-10). The authors report no financial interests or potential conflicts of interest. Corresponding author: Maria Soledad Beato. University of Salamanca. Avenida de la Merced 109-131, E-37005 Salamanca, Spain. E-mail: msol@usal.es

Caption: Figure 1. Graphical representation that illustrates the relationships between words included in the lists employed in the present study (List 01; in circles, studied words; in squares, critical items).
Table 1. Range of backward associative strength per list (BAS range),
percentages [and ranges] of true recognition, false recognition, and
false alarms to unrelated critical-distractors and unrelated-distractors
in DRM studies with three-critical-word lists.

               BAS range      True          False
                           recognition   recognition

Current        0.01-0.09   63 [41-82]    34 [10-62]
  study
Beato &        0.08-0.22   74 [46-96]    27 [04-65]
  Diez, 2011
Cadavid et     0.06-0.09   66 [57-84]    46 [11-65]
  al., 2012

               False alarms to:
                Unrelated    Unrelated-
                critical-    distractors
               distractors

Current         11 [3-22]     9 [0-26]
  study
Beato &          3 [nd]
  Diez, 2011
Cadavid et      8 [4-12]      7 [2-14]
  al., 2012

            Note. nd: no data.
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Date:Jan 1, 2017
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