Measurement of smoking outcome expectancies in children: The Smoking Consequences Questionnaire-Child.

A measure of smoking outcome expectancies was developed for children ages 7-12 years. Confirmatory factor analysis (CFA) was used to determine whether a 1-, 2-, 3-, or 4-factor solution was most appropriate for the data set. CFA revealed that the 3-factor model produced the most adequate fit (Positive Reinforcement, Negative Consequences, and Weight Control). The resulting 15-item measure was named the Smoking Consequences Questionnaire-Child (SCQ-C). The fit of the 3-dimensional structure was then examined separately for 3 age groups representing young (7- to 8-year-old), middle (9- to 10-year-old), and old (11- to 13-year-old) children. Overall, the 3-factor structure fit the data well for the 3 groups. As such, we examined the relations of the 3 scales with antecedent variables for the entire sample. The Positive Reinforcement scale was associated with children's smoking behavior and having a family member or peers who smoked. The Negative Consequences scale was inversely related to having a family member or peer who smoked. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Examining the construct validity of the Eating Disorder Inventory.

The construct validity of the Eating Disorder Inventory (EDI) was examined in 3 samples. An archival clinic sample (n=318) of women completed the EDI, a structured interview, and the Millon Clinical Multiaxial Inventory--II (MCMI-II). Confirmatory factor analyses (CFAs) indicated that neither null nor 1-factor models of the EDI fit item-level or item-parcel data. The proposed 8-factor model did not fit at the item level but did fit item-parcel data. Reliability estimates of the 8 scales ranged from .82 to .93, and low-to-moderate interscale correlations among the eating and weight-related scales provided partial support for convergent validity. EDI personality scales showed moderate interscale correlations and were associated with MCMI-II scales. A final CFA of the EDI scales supported a 2-factor model (Eating and Weight, Personality) of the 8 EDI scales. Strong associations between depression and several EDI scale scores were found in a treatment study sample (n=50). The archival clinic sample scored significantly higher on the 8 EDI scales than the nonpatient college comparison sample (n=487). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

An examination of the convergent and discriminant validity of the Strengths and Difficulties Questionnaire.

This study examined the factor structure of the parent and teacher versions of the Strengths and Difficulties Questionnaire (SDQ; R. Goodman, 1997) with a sample of first-grade children at risk for educational failure. The 5-factor model previously found in studies using exploratory factor analysis was fit to the data for both parent and teacher questionnaires. Fit indices for both versions were marginally adequate. Model fit was comparable across gender and ethnic groups. Factor fit for the parent questionnaire was invariant across parent educational level. The examination of convergent and discriminant validity included peer evaluations of each SDQ construct. Thus, each of the five constructs was evaluated by three sources (parent, teacher, and child). On the basis of D. T. Campbell and D. W. Fiske's (1959) multitrait-multimethod approach as well as a confirmatory factor analysis using the correlated uniqueness model, the SDQ has good convergent validity but relatively poor discriminant validity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The bilevel structure of the Outcome Questionnaire–45.

The structure of the Outcome Questionnaire–45 (Lambert et al., 2001) was examined in a sample of 1,100 university counseling center clients using confirmatory factor analysis. Specifically, the relative fit of 1-factor, 3-factor orthogonal, 3-factor oblique, 4-factor hierarchical, and 4-factor bilevel models were examined. Although the 3-factor oblique, 4-factor hierarchical, and 4-factor bilevel models fit the data well, the 4-factor bilevel model fit the data best. The results provided support for the fit of the 4-factor bilevel model where each item loads on 1 of the 3 independent scales of Symptom Distress, Social Role Performance, and Interpersonal Relations, in addition to a nonoverlapping general distress factor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A bifactor model of negative affectivity: Fear and distress components among younger and older youth.

The Positive and Negative Affect Schedule for Children (PANAS-C) is a 27-item youth-report measure of positive affectivity and negative affectivity. Using 2 large school-age youth samples (clinic-referred sample: N = 662; school-based sample: N = 911), in the present study, we thoroughly examined the structure of the PANAS-C NA and PA scales and fit a bifactor model to the PANAS-C NA items. Our exploratory factor analytic results demonstrated that negative affectivity is comprised of 2 main components—NA: Fear and NA: Distress—specifically among older youth. A bifactor model also evidenced the best model fit relative to a unidimensional and second-order factor structure of the PANAS-C NA items. The NA: Fear group factor evidenced significant correspondence with external criterion measures of anxiety. However, the original PANAS-C NA scale evidenced equal (and in some cases greater) correspondence with criterion measures of anxiety. We thus recommend continued usage and interpretation of the full PANAS-C NA scale despite the identification of the fear and distress group factors underlying general negative affectivity. The identification of these fear and distress group factors nonetheless suggest that negative affectivity may be comprised largely of a fear and distress component among older youth. The implications of these findings are discussed in relation to better understanding the structure of psychopathology across childhood development and informing the development of future treatments of negative emotions. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Behavioral reputation: A cross-age perspective.

This study examined the measurement of peer perceptions of behavioral reputation within the contexts of elementary, middle, and high school environments (Grades 2-12, N=2,812) through the systematic evaluation of the psychometric properties of the Revised Class Play (A. S. Masten, P. Morison, & D. S. Pellegrini, 1985). Confirmatory factor analyses demonstrated that the data did not fit A. S. Masten et al.'s original 3-factor structure. Cross-loading of items and different patterns of association between subscales across age groups (elementary, middle, and high school) contributed to the overall poor fit. Exploratory factor analyses revealed an alternative 4-factor structure as a more reliable and valid means of assessing behavioral reputation regardless of the age of the peer group sampled. Both convergent and divergent patterns of associations emerged across developmental levels. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Structure of Anxiety and Depression in Urban Youth: An Examination of the Tripartite Model.

In this study, the authors examined the validity of the tripartite model of anxiety and depression (L. A. Clark & D. Watson, 1991) in a community epidemiological sample of 467 urban African American youth. Participants completed the Baltimore How I Feel (N. S. Ialongo, S. G. Kellam, & J. Poduska, 1999), a measure of anxiety and depressive symptoms, in Grades 6 and 9. Confirmatory factor analyses indicated that a 3-factor model representing the tripartite model fit the data well and better than competing models. Longitudinal confirmatory factor analysis revealed configural invariance of the tripartite factor structure. However, a predicted divergence among dimensions over time was not evidenced. High correlations among the tripartite dimensions suggest that anxiety and mood symptoms may not differentiate in urban youth. Results are discussed in terms of the ethnicity and urban context of this community sample. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The nature of preschool phonological processing abilities and their relations to vocabulary, general cognitive abilities, and print knowledge.

The development of reading-related phonological processing abilities represents an important developmental milestone in the process of learning to read. In this cross-sectional study, confirmatory factor analysis was used to examine the structure of phonological processing abilities in 129 younger preschoolers (M = 40.88 months, SD = 4.65) and 304 older preschoolers (M = 56.49 months, SD = 5.31). A 2-factor model in which Phonological Awareness and Phonological Memory were represented by 1 factor and Lexical Access was represented by a 2nd factor provided the best fit for both samples and was largely invariant across samples. Measures of vocabulary, cognitive abilities, and print knowledge were significantly correlated with both factors, but Phonological Awareness/Memory had unique relations with word reading. Despite significant development of phonological processing abilities across the preschool years and into kindergarten, these results show that the structure of these skills remains invariant. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The factor structure and factorial invariance of the 12-item General Health Questionnaire (GHQ-12) across time: Evidence from two community-based samples.

This study provides new knowledge about the factor structure of the 12-item General Health Questionnaire (GHQ-12; D. Goldberg, 1972) through the application of confirmatory factor analysis to longitudinal data, thereby enabling investigation of the factor structure, its invariance across time, and the rank-order stability of the factors. Two community-based longitudinal adult samples with 1-year (n = 640) and 6-year (n = 330) follow-up times were studied. As a result, the correlated 3-factor model (i.e., Anxiety/Depression, Social Dysfunction, and Loss of Confidence) showed a better fit with both samples than the alternative models. The correlated 3-factor structure was also relatively invariant across time in both samples, indicating that the scale has good construct validity. The rank-order stabilities of the factors were low across time, which suggests that the GHQ-12 measures temporal mental state. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Comparing factor structures of adolescent psychopathology.

Research on the structure of adolescent psychopathology can provide information on broad factors that underlie different forms of maladjustment in youths. Multiple studies from the literature on adult populations suggest that 2 factors, Internalizing and Externalizing, meaningfully comprise the factor structure of adult psychopathology (e.g., Krueger, 1999) and presumably represent broad vulnerability for co-occurring disorders. Though this research was partially inspired by early work with children and adolescents (e.g., Achenbach & Edelbrock, 1984), the role of substance use in these models of youth psychopathology has not been fully explored. Toward this goal, we recruited 223 youths (10–17 years of age, M = 14.2) from mental health agencies and the community. We found evidence for a 3-factor model of youth psychopathology, including Internalizing (depression, generalized anxiety), Externalizing (conduct disorder, attention deficit, oppositional defiant disorder), and Substance Use (alcohol and cannabis). The 3-factor model showed the best fit to the data relative to other factor models tested, including across subsamples of adolescents who differed on level of psychopathology (treatment vs. community samples). Implications for the structure of adolescent psychopathology, including important developmental considerations, are discussed. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Reading Motivation: Multidimensional and Indeterminate.

The Motivations for Reading Questionnaire (MRQ) contains 54 items that are posited to tap 11 dimensions of reading motivation. The structural validity of the MRQ was investigated with 2 samples: (a) 328 students in Grades 3-5 from 2 suburban mid-Atlantic elementary schools and (b) 735 students in Grades 3-5 in 2 suburban southwestern elementary schools. With confirmatory factor analyses (CFAs), the theoretical 11-factor structure did not adequately fit the data in either sample. Subsequently, exploratory factor analyses found 8 factors for each sample with 6 factors defined by only 3 or 4 common items. However, a double CFA cross-validation found an inadequate fit for both samples. Given these results, the authors suggest that the MRQ be revised. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Structure of the Weinberger Adjustment Inventory Self-Restraint Scale and its relation to problem behaviors in adolescence.

The authors examined the structure of the Weinberger Adjustment Inventory (WAI) Self-Restraint scale in derivation (n?=?1,286) and cross-validation (n?=?1,154) samples of mostly African American 6th-graders in 3 urban schools. Four models were compared: (1) a 1-factor model; (2) a hierarchical model in which factors representing Impulse Control, Suppression of Aggression, Responsibility, and Consideration of Others were subsumed by a higher order factor; (3) a model that represented these 4 factors as correlated but distinct constructs; and (4) a model that excluded Consideration of Others from the higher order factor. Consistent support was found for the last model based on confirmatory factor analyses and latent-variable analyses examining the relations among self-restraint scales, drug use, delinquency, and aggression. These findings have implications for using the WAI, particularly in studies of adolescent problem behaviors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Construct validity of the Child Behavior Checklist: Effects of item overlap on second-order factor structure.

The broadband factor structure of the Child Behavior Checklist (CBCL) was examined for the narrowband scales as measured in practice (i.e., with items scored on more than 1 narrowband scale). On the basis of parallel and minimum average partial criteria, a 1-factor solution was indicated for boys age 4–5 yrs, girls age 4–5 yrs, and girls age 12–16 yrs and a 2-factor solution for boys age 6–11 yrs, girls age 6–11 yrs, and boys age 12–16 yrs. The implications of item overlap for research and professional practices associated with the CBCL and related materials are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The joint WAIS-III and WMS-III factor structure: Development and cross-validation of a six-factor model of cognitive functioning.

During the standardization of the Wechsler Adult Intelligence Scale (3rd ed.; WAIS-III) and the Wechsler Memory Scale (3rd ed.; WMS-III) the participants in the normative study completed both scales. This "co-norming" methodology set the stage for full integration of the 2 tests and the development of an expanded structure of cognitive functioning. Until now, however, the WAIS-III and WMS-III had not been examined together in a factor analytic study. This article presents a series of confirmatory factor analyses to determine the joint WAIS-III and WMS-III factor structure. Using a structural equation modeling approach, a 6-factor model that included verbal, perceptual, processing speed, working memory, auditory memory, and visual memory constructs provided the best model fit to the data. Allowing select subtests to load simultaneously on 2 factors improved model fit and indicated that some subtests are multifaceted. The results were then replicated in a large cross-validation sample (N=858). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The ingratiation construct: An assessment of the validity of the Measure of Ingratiatory Behaviors in Organizational Settings (MIBOS).

Independent samples were used to assess the construct validity of the Measure of Ingratiatory Behaviors in Organizational Settings (MIBOS) scale (K. Kumar & M. Beyerlein, 1991). The 4 samples included managerial personnel (n = 288), members of 2 professional organizations (n?=?144), clerical employees (n?=?110), and working students (n?=?279). Three distinct conceptualizations were examined using confirmatory factor analysis (LISREL 8). Alternative models included (a) a 4-factor conceptualization proposed by Kumar and Beyerlein; (b) a 4-factor, 2nd-order conceptualization; and (c) a unidimensional model. None of the models provided adequate support for the factor structure of the measure. Similarly, convergent and discriminant assessments failed to provide strong support for the validity of the scale. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Schizotypy in community samples: The three-factor structure and correlation with sustained attention.

The authors examined cross-cultural applicability of the Schizotypal Personality Questionnaire (SPQ), the Perceptual Aberration Scale (PAS), and the Continuous Performance Test in community samples of Taiwanese adults and adolescents. The authors tested hypotheses that a 3-factor structure of the SPQ (Cognitive–Perceptual, Interpersonal, and Disorganization; A. Raine et al., 1994) exists for both samples and that the Interpersonal factor is associated with poorer attention. The authors replicated the 3-factor model for both samples, and they externally validated the model in adults: The Interpersonal factor and possibly the Disorganization factor were associated with poorer attention, whereas the Cognitive–Perceptual factor was not. The PAS differed from the Cognitive–Perceptual factor in its consistent association with poorer attention in both samples. These have important implications for the scales in the early detection of the schizotypy in various cultures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The Strengths and Difficulties Questionnaire in the Bergen Child Study: A conceptually and methodically motivated structural analysis.

Objective: To test Goodman’s theoretical 5-factor model of the Strengths and Difficulties Questionnaire (SDQ) in an analysis of the Norwegian parent (P) and teacher (T) versions of the questionnaire. Method: The T-SDQ was analyzed for 8,999 (95.4% of all) children in primary school grades 2–4 in Bergen, Norway, whereas the P-SDQ was examined for 6,430 children (68.2%). Main analyses were exploratory and confirmatory factor analyses. Results: The analyses supported a modestly modified version of Goodman’s 5-factor model for both the P-SDQ and the T-SDQ. The correlations between latent factors were high, particularly when the conduct problem factor was involved, reflecting a high level of overlap between the problem areas. Cross-informant correlation between parents and teachers was moderate to high for the problem subscales and considerably higher than the corresponding correlation between subscales that has been found in earlier studies. Conclusions: None of the alternative models derived from the exploratory factor analysis fitted the data better than a slightly modified version of Goodman’s 5-factor model, which showed acceptable goodness of fit. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The Big Five in personnel selection: Factor structure in applicant and nonapplicant populations.

Recent personnel selection studies have focused on the 5-factor model of personality. However, the stability of this factor structure in job applicant populations has not been determined. Conceptual and empirical evidence has suggested that similar factor structures should not be assumed across testing situations that have different purposes or consequences. A study was conducted that used confirmatory factor analysis to examine the fit of the 5-factor model to NEO Five-Factor Inventory (P. T. Costa and R. R. McCrae, 1989) test data from student and applicant samples. The 5-factor structure fit the student data but did not fit the applicant data. The existence of an ideal-employee factor in the applicant sample is suggested. The findings are discussed in terms of both construct validity issues and the use of the Big Five in personnel selection. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of the Child Behavior Checklist/6-18 in a sample of girls adopted from China.

Confirmatory factor analysis with robust weighted least squares estimation of the 103 dichotomously scored items of the Child Behavior Checklist/6-18 (T. M. Achenbach & L. A. Rescorla, 2001) in a sample of 516 girls adopted from China (ages 6.0-15.7 years; M = 8.2, SD = 1.9) indicated that the fit of the 8-factor model was good (root-mean-square error of approximation = .047) and was slightly better than what T. M. Achenbach and L. A. Rescorla (2001) reported for the same model (.06). Support for the 2nd-order factor structure of Internalizing and Externalizing Problems also was provided. Comparisons of the mean scores for the syndromes and Internalizing, Externalizing, and Total Problems revealed mostly small differences between the sample of adopted Chinese girls and T. M. Achenbach and L. A. Rescorla's normative samples. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure and measurement invariance of the Women's Health Initiative Insomnia Rating Scale.

As part of the Women's Health Initiative Study, the 5-item Women's Health Initiative Insomnia Rating Scale (WHIIRS) was developed. This article summarizes the development of the scale through the use of responses from 66,269 postmenopausal women (mean age=62.07 years, SD=7.41 years). All women completed a 10-item questionnaire concerning sleep. A novel resampling technique was introduced as part of the data analysis. Principal-axes factor analysis without iteration and rotation to a varimax solution was conducted for 120,000 random samples of 1,000 women each. Use of this strategy led to the development of a scale with a highly stable factor structure. Structural equation modeling revealed no major differences in factor structure across age and race-ethnic groups. WHIIRS norms for race-ethnicity and age subgroups are detailed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)