Parameters of normalcy in transient otoacoustic emissions

This study analyzed and assessed dimensions of a questionnaire developed to measure general fears and phobias. A previous factor analysis among 109 dental phobics had revealed a five-factor structure with 22 items and an explained total variance of 54%. The present study analyzed the same material using a multivariate statistical procedure (LISREL) to reveal structural latent variables. The LISREL analysis, based on the correlation matrix, yielded a chi-square of 216.6 with 195 degrees of freedom (P = 0.138) and showed a model with seven latent variables. One was a general fear factor correlated to all 22 items. The other six factors concerned "Illness & Death" (5 items), "Failures & Embarrassment" (5 items), "Social situations" (5 items), "Physical injuries" (4 items), "Animals & Natural phenomena" (4 items). One item (opposite sex) was included in both "Failures & Embarrassment" and "Social situations". The last factor, "Social interaction", combined all the items in "Failures & Embarrassment" and "Social situations" (9 items). In conclusion, this multivariate statistical analysis (LISREL) revealed and confirmed a factor structure similar to our previous study, but added two important dimensions not shown with a traditional factor analysis. This reduced FSS-II version measures general fears and phobias and may be used on a routine clinical basis as well as in dental phobia research.     

Latent structure and factorial invariance of a neuropsychological test battery for the study of preclinical Alzheimer's disease.

Objective: To examine the latent structure of a test battery currently being used in a longitudinal study of asymptomatic middle-aged adults with a parental history of Alzheimer's disease (AD) and test the invariance of the factor solution across subgroups defined by selected demographic variables and known genetic risk factors for AD. Method: An exploratory factor analysis (EFA) and a sequence of confirmatory factor analyses (CFA) were conducted on 24 neuropsychological measures selected to provide a comprehensive estimate of cognitive abilities most likely to be affected in preclinical AD. Once the underlying latent model was defined and the structural validity established through model comparisons, a multigroup confirmatory factor analysis model was used to test for factorial invariance across groups. Results: The EFA solution revealed a factor structure consisting of five constructs: verbal ability, visuospatial ability, speed & executive function, working memory, and verbal learning & memory. The CFA models provided support for the hypothesized 5-factor structure. Results indicated factorial invariance of the model across all groups examined. Conclusions: Collectively, the results suggested a relatively strong psychometric basis for using the factor structure in clinical samples that match the characteristics of this cohort. This confirmed an invariant factor structure should prove useful in research aimed to detect the earliest cognitive signature of preclinical AD in similar middle aged cohorts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of coping: Two studies of mothers with high levels of life stress.

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate the factor structure of coping in mothers with high levels of life stress. In Study 1, EFA of the Coping Orientation to Problems Experienced (C. S. Carver, M. F. Scheier, & J. K. Weintraub, 1989) in a sample of mothers of full-term or very low birth weight 2-year-old children yielded 7 reliable coping factors. Each factor accounted for significant variance in at least 1 of 6 outcomes measuring maternal-child well-being. In Study 2, CFA was used to cross-validate the EFA model on the basis of the responses of mothers of 2-year-old children with prenatal polysubstance exposure. CFA results revealed a moderately good fit, confirming the factor structure in a 2nd, independent sample of mothers with high levels of life stress. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Comparing factor analytic models of the DSM-IV personality disorders.

There is little agreement about the latent factor structure of the Diagnostic and Statistical Manual of Mental Disorders (DSM) personality disorders (PDs). Factor analytic studies over the past 2 decades have yielded different results, in part reflecting differences in factor analytic technique, the measure used to assess the PDs, and the changing DSM criteria. In this study, we explore the latent factor structure of the DSM (4th ed.; IV) PDs in a sample of 1200 psychiatric outpatients evaluated with the Structured Interview for DSM–IV PDs (B. Pfohl, N. Blum, & M. Zimmerman, 1997). We first evaluated 2 a priori models of the PDs with confirmatory factor analysis (CFA), reflecting their inherent organization in the DSM–IV: a 3-factor model and a 10-factor model. Fit statistics did not suggest that these models yielded an adequate fit. We then evaluated the latent structure with exploratory factor analysis (EFA). Multiple solutions produced more statistically and theoretically reasonable results, as well as providing clinically useful findings. On the basis of fit statistics and theory, 3 models were evaluated further—the 4-, 5-, and 10-factor models. The 10-factor model, which did not resemble the 10-factor model of the CFA, was determined to be the strongest of all 3 models. Future research should use contemporary methods of evaluating factor analytic results in order to more thoroughly compare various factor solutions. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

ADHD and College Students: Exploratory and Confirmatory Factor Structures With Student and Parent Data.

Exploratory factor analyses (EFAs) and confirmatory factor analyses (CFAs) were used to investigate the structure of the Student Report Inventory (SRI) and Parent Report Inventory (PRI) of the College Attention-Deficit/Hyperactivity Disorder (ADHD) Response Evaluation. The sample was composed of 1,080 college students and their parents and was stratified by ethnicity, gender, ability level, age, grade, region of residence, and psychoeducational classification status. Results varied according to the information source (self-report vs. parent). EFA uncovered and CFA confirmed 3 distinct and reliable dimensions for student reports: Inattention, Hyperactivity, and Impulsivity. By contrast, EFA and CFA uncovered a reliable 2-dimension structure for the parent-report data. Factor structures replicated across genders (3 factors for the SRI, and 2 factors for the PRI). Results are discussed in terms of the divergence of structures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data.

Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent process determines each observed variable. The extent to which violations of this assumption undermine CFA estimation is not well-known. In this article, the authors empirically study this issue using a computer simulation study. The results suggest that estimation of polychoric correlations is robust to modest violations of underlying normality. Further, WLS performed adequately only at the largest sample size but led to substantial estimation difficulties with smaller samples. Finally, robust WLS performed well across all conditions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A new look at the big five factor structure through exploratory structural equation modeling.

NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis (EFA), overcomes these problems with responses (N = 3,390) to the 60-item NEO–Five-Factor Inventory: (a) ESEM fits the data better and results in substantially more differentiated (less correlated) factors than does CFA; (b) tests of gender invariance with the 13-model ESEM taxonomy of full measurement invariance of factor loadings, factor variances–covariances, item uniquenesses, correlated uniquenesses, item intercepts, differential item functioning, and latent means show that women score higher on all NEO Big Five factors; (c) longitudinal analyses support measurement invariance over time and the maturity principle (decreases in Neuroticism and increases in Agreeableness, Openness, and Conscientiousness). Using ESEM, we addressed substantively important questions with broad applicability to personality research that could not be appropriately addressed with the traditional approaches of either EFA or CFA. (PsycINFO Database Record (c) 2010 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)     

Measuring cancer patients' psychological distress and well-being: A factor analytic assessment of the Mental Health Inventory.

This study examined the psychometric structure of the Mental Health Inventory (MHI) in 433 cancer patients. Using structural equation modeling, confirmatory factor analyses (CFAs) were conducted. Next, exploratory factor analysis (EFA) was used to explore an alternative MHI factor structure with a randomly chosen subsample. Finally, CFAs were conducted on 6 MHI models with the second subsample. Convergent validity was examined by administering the Positive and Negative Affect Schedule (PANAS) and the Dyadic Adjustment Scale (DAS). The CFAs with the original MHI factor structure indicated inadequate fit, supporting the need to conduct an EFA. Results of the EFA indicated support for a 5-factor solution but numerous differences in item factor loadings. The CFA indicated that the 5-factor correlated model was the best fitting model. Correlations between the PANAS and the DAS with the MHI provided preliminary support for the convergent validity of the MHI. Together, these results indicate that the original MHI factor structure may require modification for use in patients with cancer. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Latent structure analysis of DSM-IV borderline personality disorder criteria

The aim of this study was to evaluate the structure of DSM-IV borderline personality disorder (BPD) criteria. The study group consisted of 564 consecutively admitted inpatients and outpatients. BPD criteria discriminatory power was tested by using corrected item-to-total and item-to-diagnosis correlations. Weighted least-squares (WLS) confirmatory factor analysis (CFA) was used to assess the fit of DSM-IV BPD unidimensional model. The categorical model of BPD was tested by exploratory latent class analysis (LCA). Item analysis suggested a hierarchy in BPD criteria discriminatory power, even if with different rank order with respect to the DSM-IV model. CFA showed a unifactorial structure with congeneric items as the best fitting model for DSM-IV BPD criteria (chi2 = 18.89, df= 27, P > .87). LCA showed evidence for three latent classes; heterogeneity was observed only among subjects falling below DSM-IV diagnostic threshold for BPD. These results support the categorical model of BPD, even if with several differences with respect to DSM-IV.     

Validation of the biosocial model of personality: Confirmatory factor analysis of the Tridimensional Personality Questionnaire.

The theoretical parameters of the biosocial model of personality that underlie the item domain of the Tridimensional Personality Questionnaire (C. R. Cloninger; see records 75:1507 and 17186) were assessed with confirmatory factor analysis (CFA). Using a large sample of community-based adults (n?=?360) and undergraduate students(n?=?233), CFA was used to examine the relationship between the items and their correspondent subscales, as well as the relationship between the subscales and their correspondent personality domain. Results indicated that the items composing the 4 subscales for each of the 3 personality domains matched the underlying theoretical model and that the 12 subscales that comprise the 3 personality domains decomposed into 3 dimensions theoretically consistent with the biosocial model of personality. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Psychopathy and ethnicity: Structural, item, and test generalizability of the Psychopathy Checklist—Revised (PCL-R) in Caucasian and African American participants.

The Psychopathy Checklist--Revised (PCL-R) is an important measure in both applied and research settings. Evidence for its validity is mostly derived from male Caucasian participants. PCL-R ratings of 359 Caucasian and 356 African American participants were compared using confirmatory factor analysis (CFA) and item response theory (IRT) analyses. Previous research has indicated that 13 items of the PCL-R can be described by a 3-factor hierarchical model. This model was replicated in this sample. No cross-group difference in factor structure could be found using CFA; the structure of psychopathy is the same in both groups. IRT methods indicated significant but small differences in the performance of 5 of the 20 PCL-R items. No significant differential test functioning was found, indicating that the item differences canceled each other out. It is concluded that the PCL-R can be used, in an unbiased way, with African American participants. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of the BASC–2 Behavioral and Emotional Screening System Student Form.

[Correction Notice: An erratum for this article was reported in Vol 23(2) of Psychological Assessment (see record 2011-09524-001). There was an omission in the author note. The author note should have included a disclosure as follows, “Randy W. Kamphaus wishes to disclose a potential conflict of interest in that he receives a portion of royalties on net sales of BESS.”] The BASC–2 Behavioral and Emotional Screening System (BESS) Student Form (Kamphaus & Reynolds, 2007) is a recently developed youth self-report rating scale designed to identify students at risk for behavioral and emotional problems. The BESS Student Form was derived from the Behavior Assessment System for Children—Second Edition Self-Report of Personality (BASC–2 SRP; Reynolds & Kamphaus, 2004) using principal component analytic procedures and theoretical considerations. Using 3 samples, the authors conducted exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) to understand the underlying factor structure of the BESS Student Form. The results of the EFA suggested that the SRP contained a 4-factor (i.e., Personal Adjustment, Inattention/Hyperactivity, Internalizing, School Problems) emergent structure, which was supported by CFA in 2 additional samples. Practical and research implications are discussed. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Analyses of employment incentives and barriers for individuals with psychiatric disabilities.

Objective: Individuals with psychiatric disabilities experience 90% unemployment rates; however, individuals experience 61% employment rates when engaged in high-fidelity individual placement and support programs. To build on current research of variables influencing employment outcomes, we hypothesized that an Incentive factor and a Barrier factor are related to employment status. This mixed method study developed the Employment Commitment Measure (ECM) and explored the correlation between employment commitment and employment status. Method: In our 1st phase of this mixed method study, we developed the ECM consisting of an Incentive factor with 5 items and a Barrier factor with 6 items through community-based participatory research. In our 2nd phase of this mixed method study, 198 randomly picked individuals with psychiatric disabilities completed a demographic survey and the ECM. We completed independent sample t tests with Bonferroni correction, cross-tabulated chi-square analyses, confirmatory factor analysis, Cronbach's alpha tests, a logistic regression, and a slope plotting. Results: The ECM consists of 11 items, with 5 items loading on an Incentive factor and 6 items loading on a Barrier factor. Results indicated that the Incentive factor scores were associated with employment status and significant differences on Incentive factor scores between employed and unemployed participants. Results indicated nonsignificant differences between employed and unemployed participants by age, education, gender, ethnicity, housing, mental health tenure, and agency tenure. Conclusions: Our findings indicated incentives for employment may provide a better guide for correlations of and commitment to employment when compared to barriers. We discuss the implications for employment for individuals with psychiatric disabilities. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Life satisfaction and self-reported problems after spinal cord injury: Measurement of underlying dimensions.

Objective: Evaluate the utility of the current 7-scale structure of the Life Situation Questionnaire—Revised (LSQ–R) using confirmatory factor analysis (CFA) and explore the factor structure of each set of items. Design: Adults (N = 1,543) with traumatic spinal cord injury (SCI) were administered the 20 satisfaction and 30 problems items from the LSQ–R. Results: CFA suggests that the existing 7-scale structure across the 50 items was within the acceptable range (root-mean-square error of approximation [RMSEA] = 0.078), although it fell just outside of this range for women. Factor analysis revealed 3 satisfaction factors and 6 problems factors. The overall fit of the problems items (RMSEA = 0.070) was superior to that of the satisfaction items (RMSEA = 0.80). RMSEA fell just outside of the acceptable range for Whites and men on the satisfaction scales. All scales had acceptable internal consistency. Conclusion: Results suggest the original scoring of the LSQ–R remains viable, although individual results should be reviewed for special population. Factor analysis of subsets of items allows satisfaction and problems items to be used independently, depending on the study purpose. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

"Factor structure of the BASC-2 Behavioral and Emotional Screening System Student Form": Correction to Dowdy et al. (2011).

Reports an error in "Factor structure of the BASC–2 Behavioral and Emotional Screening System Student Form" by E. Dowdy, et al. (Psychological Assessment. np). There was an omission in the author note. The author note should have included a disclosure as follows, “Randy W. Kamphaus wishes to disclose a potential conflict of interest in that he receives a portion of royalties on net sales of BESS.” (The following abstract of the original article appeared in record 2011-04578-001.) The BASC–2 Behavioral and Emotional Screening System (BESS) Student Form (Kamphaus & Reynolds, 2007) is a recently developed youth self-report rating scale designed to identify students at risk for behavioral and emotional problems. The BESS Student Form was derived from the Behavior Assessment System for Children—Second Edition Self-Report of Personality (BASC–2 SRP; Reynolds & Kamphaus, 2004) using principal component analytic procedures and theoretical considerations. Using 3 samples, the authors conducted exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) to understand the underlying factor structure of the BESS Student Form. The results of the EFA suggested that the SRP contained a 4-factor (i.e., Personal Adjustment, Inattention/Hyperactivity, Internalizing, School Problems) emergent structure, which was supported by CFA in 2 additional samples. Practical and research implications are discussed. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Isms and the structure of social attitudes.

Social attitude measurement has been limited by inadequate structural models. In this study, broad, basic dimensions were sought, with the assumption that crucial variables are represented as terms ending in -ism (isms). 266 isms were extracted from a dictionary, and items were built from their definitions. In a sample of 500 college students, the most replicable item structure had 3 factors; one of these 3 factors split into 2 factors in the 4-factor structure. A replication study confirmed that Conservatism and Authoritarianism are subcomponents of the largest factor. The other factors, though highly meaningful, seem more sparsely represented in previous research. No factor was highly related to personality traits other than Openness to Experience. The factors can serve as content-validity benchmarks for developing improved measurement models in this consequential, discrete domain of individual differences. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

An empirical investigation of the factor structure of the AUDIT.

This study investigated the Alcohol Use Disorders Identification Test's (AUDIT) factor structure and psychometric properties. The factor structure was derived from a sample of 7,035 men and women primary care patients. A principal components analysis identified 2 factors in the AUDIT data and was supported in a confirmatory factor analysis (CFA). The 2 factors were Dependence/Consequences and Alcohol Consumption. The CFA also provided support for a 3-factor model whose factors (Alcohol Consumption, Alcohol Dependence, and Related Consequences) matched those proposed by the AUDIT'S developers. Psychometric indexes were determined by use of the baseline and 12-month follow-up data of 301 men and women who entered a clinical trial. The results showed that the 2 factors had good reliability. Validity tests supported the interpretation of what the 2 factors measure, its implications for relationships to other variables, and the comparability of the 2- and 3-factor models. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Higher-order factors of the Big Five in a multi-informant sample.

In a large community sample (N=490), the Big Five were not orthogonal when modeled as latent variables representing the shared variance of reports from 4 different informants. Additionally, the standard higher-order factor structure was present in latent space: Neuroticism (reversed), Agreeableness, and Conscientiousness formed one factor, labeled Stability, and Extraversion and Openness/Intellect formed a second factor, labeled Plasticity. Comparison of two instruments, the Big Five Inventory and the Mini-Markers, supported the hypotheses that single-adjective rating instruments are likely to yield lower interrater agreement than phrase rating instruments and that lower interrater agreement is associated with weaker correlations among the Big Five and a less coherent higher-order factor structure. In conclusion, an interpretation of the higher-order factors is discussed, including possible neurobiological substrates. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Using Taxometric Analysis to Distinguish a Small Latent Taxon From a Latent Dimension With Positively Skewed Indicators: The Case of Involuntary Defeat Syndrome.

Joining the debate on the structure of depression, S. R. H. Bearh and N. Amir (2003) analyzed college students' responses to 6 Beck Depression Inventory (BDI) items with predominantly somatic content and concluded that they identified a small latent taxon corresponding to involuntary defeat syndrome. An exact replication of these analyses yielded virtually identical taxometric results, but parallel analyses of simulated taxonic and dimensional comparison data matching the intercorrelations and skewed distributions of the BDI items showed the results to be more consistent with dimensional than with taxonic latent structure. Analyses in a clinical sample with nonskewed indicators further supported a dimensional interpretation. The authors discuss methodological strategies for conducting and interpreting taxometric analyses under the adverse conditions commonly encountered in psychopathology research, including skewed indicators and small putative taxa. (PsycINFO Database Record (c) 2010 APA, all rights reserved)