Errata.Tables 2 and 3 in Beaton, Doherty, and Rueter's "Family of Origin Processes and Attitudes of Expectant EXPECTANT. Having relation to, or depending upon something; this word is frequently used in connexion with fee, as fee expectant. Fathers" (Volume 1 #2) were printed with misaligned mis·a·ligned adj. Incorrectly aligned. mis a·lign ment n. borderlines. The corrected pages are
reprinted here.We apologize for any confusion these errors may have caused the authors and/or our readers. Men's Studies Men's studies - also sometimes called masculinity studies - is an interdisciplinary academic field devoted to topics concerning men, gender, and politics. As a relatively new field of study, men's studies was formed largely in response to, and as a critique of, an emerging Press, LLC (Logical Link Control) See "LANs" under data link protocol. LLC - Logical Link Control As expected, current family factors directly predicted attitudes about father involvement. As Figure 2 indicates, all three current family factors, expectant fathers' current marital relationships, expectant fathers' and expectant mothers' current relationships with their parents, and expectant mothers' attitudes about father involvement, were positively and significantly associated with expectant fathers' attitudes about father involvement. As shown in Table 2, a number of the error terms were significantly correlated with one another. For example, the family closeness factor (E2) was positively and significantly correlated with the co-parent relationship factor (E3). The expectant father's current marital relationship factor (E4) was positively and significantly correlated with the current relationship with parents factor (E5). The expectant father's family closeness factor (E2) was positively and significantly correlated with the expectant father's current marital relationship factor (E4). The analytical model produced a non-significant chi-square value ([chi square chi square (kī), n a nonparametric statistic used with discrete data in the form of frequency count (nominal data) or percentages or proportions that can be reduced to frequencies. ] = 30.81, df = 27, p = .28) indicating a good fit for the data. The Goodness of Fit Goodness of fit means how well a statistical model fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question. Such measures can be used in statistical hypothesis testing, e. Indices (GFI GFI Ground Fault Interrupter GFI Go For It GFI Government-Furnished Information GFI Growing Families International GFI Goodness of Fit Indices GFI Government Financial Institutions (Philippines) GFI Gross Farm Income = .96, AGFI AGFI Adjusted Goodness of Fit Index (statisticals) AGFI Adjusted Goodness of Fit Indices = .91, CFI CFI abbr. cost, freight, and insurance = .99) (Hu & Bentler, 1999) and the critical N = 217.43 value (Maruyama, 1998) also suggested a good model fit. The model was also properly specified (RMSEA RMSEA Root Mean Square Error of Approximation = .02, p < .05), which indicates that there was a sufficient number of possible solutions for the data considering the sample size. The observed indicators were also very reliable (RMR RMR Resting Metabolic Rate RMR Registered Merit Reporter RMR Reliability Must-Run (electric generation plant's status to maintain grid voltage/reliability) RMR Recurring Monthly Revenue (finance) = .04, p < .05) (Hu & Bentler, 1999). REGRESSION ANALYSES We conducted regression analyses primarily to study linear and curvilinear curvilinear a line appearing as a curve; nonlinear. curvilinear regression see curvilinear regression. relationships between current and family of origin variables and the dependent variable, expectant fathers' attitudes (see Table 3). Model 1 includes all of the family of origin and current family variables. These variables were entered into the regression
Table 2
Results of Correlations Between Error Terms (N = 152)
Parameters Estimates
Correlations Between Error Terms
E1 E2 .08
E1 E3 .17 *
E1 E4 .11
E1 E5 -.12
E1 E6 .16
E2 E3 .80 ***
E2 E4 .16
E2 E5 .42 ***
E2 E6 .18
E3 E4 .16
E3 E5 .22 ***
E3 E6 .23
E4 E5 .37 ***
E4 E6 .18
E5 E6 .01
* significant at p < .05. ** significant at p <.01.
*** significant at p < .001.
Table 3
Regression Coefficients of the Associations between Current Family
Variables, Family of Origin Processes, and Expectant Fathers' Attitudes
(N = 152)
Variable B SE B [beta] 95% B Interval
Confidence
Lower Upper
Model 1
Current Family Variables
Father Marital .14 .05 .20 ** .03 .24
Relationship
Expectant Mothers' .35 .08 .29 *** .18 .52
Attitudes
Current .07 .03 .19 * .01 .15
Relationship with
Parents
Family of Origin Variables
Family Closeness 1.19 .34 1.69 *** .52 1.95
(linear)
Family Closeness .03 .008 1.16 *** .01 .04
(curvilinear)
Co-parent -1.23 .43 -.69 ** -2.07 -.38
Relationship
(linear)
Co-parent -.06 .006 -.08 -.02 .01
Relationship
(curvilinear)
Father Competence .88 .38 .17 * .13 1.63
(linear)
Father Competence .83 .49 .12 -.15 1.80
(curvilinear)
Model 2
Family Closeness .50 .16 .71 *** .19 .81
(linear)
Family Closeness .01 .01 .60 ** -.01 .03
(curvilinear)
Note: [R.sup.2] = .35 for Model 1; [R.sup.2] = .07 for Model 2.
* significant at p <.05. ** significant at p<.01. *** significant at
p < .001.
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