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)     

The PANAS structure revisited: On the validity of a bifactor model in community and forensic samples.

The Positive and Negative Affect Schedule (PANAS) is a widely used inventory for the assessment of affect in psychology and other applied sciences. Despite its popularity, the structure of the PANAS is still under debate. On the one hand, there is evidence of the traditional 2-factor model with Positive Affect (PA) and Negative Affect (NA) as uncorrelated factors. On the other hand, a more complex structure of the PANAS has been discussed. To shed further light on the core dimensions of the PANAS, 2 studies investigated the structure of the PANAS in 2 German samples (N = 354 and N = 364, respectively) by means of confirmatory factor analysis. The factor analysis results of Study 1 for a traitlike time frame instruction suggested a suboptimal model fit for the uncorrelated 2-factor model and the 3-factor model with PA, Afraid, and Upset as factors, whereas a superior model fit occurred for a bifactor model with traitlike PA, NA, and a general 3rd factor named Affective Polarity. In Study 2, the bifactor model was replicated for a statelike PANAS time frame instruction and evidence of criterion validity was provided for PA, NA, and Affective Polarity factors in 2 sex offender subgroups and in a community sample. With Affective Polarity, we introduce an affect dimension that captures additional variance beyond PA and NA. Because of the adjectives with relevant loadings on Affective Polarity, this general factor represents an individual's orientation toward approach and withdrawal, respectively. (PsycINFO Database Record (c) 2011 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)     

Factor structure of the Brief Symptom Inventory--18 in adult survivors of childhood cancer: Results from the Childhood Cancer Survivor Study.

The factor structure of the Brief Symptom Inventory-18 (BSI-18; L. R. Derogatis, 2000) was investigated in a sample of adult survivors of childhood cancer enrolled in the Childhood Cancer Survivor Study (CCSS; N = 8,945). An exploratory factor analysis with a randomly chosen subsample supported a 3-factor structure closely corresponding to the 3 BSI-18 subscales: Depression, Anxiety, and Somatization. Confirmatory factor analysis with structural equation modeling validated this 3-dimensional structure in a separate subsample, though an alternative 4-factor model also fit the data. Analysis of the 3-factor model showed consistent fit in male and female participants. Compared with available community-based norms, survivors reported fewer symptoms of psychological distress. Together, results support the hypothesized 3-dimensional structure of the BSI-18 and indicate the measure may be useful in assessing psychological distress in this growing population of cancer survivors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluating replicability of factors in the Revised NEO Personality Inventory: Confirmatory factor analysis versus Procrustes rotation.

Despite the empirical robustness of the 5-factor model of personality, recent confirmatory factor analyses (CFAs) of NEO Personality Inventory (NEO-PI) data suggest they do not fit the hypothesized model. In a replication study of 229 adults, a series of CFAs showed that Revised NEO-PI scales are not simple-structured but do approximate the normative 5-factor structure. CFA goodness-of-fit indices, however, were not high. Comparability analyses showed that no more than 5 factors were replicable, which calls into question some assumptions underlying the use of CFA. An alternative method that uses targeted rotation was presented and illustrated with data from Chinese and Japanese versions of the Revised NEO-PI that clearly replicated the 5-factor structure. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development and validation of the Stephenson Multigroup Acculturation Scale (SMAS).

This article describes the development and psychometric evaluation of the Stephenson Multigroup Acculturation Scale (SMAS). Three studies were conducted to describe its development and refinement, examine its psychometric properties with 436 participants from 5 ethnic groups, and examine the robustness of the factor structure with a new sample. Exploratory factor analyses generated a 2-factor solution: ethnic society immersion and dominant society immersion. Item refinement resulted in a 32-item version of the SMAS. Findings indicated a robust factor structure across groups. Confirmatory factor analysis indicated that the 2-factor model provided a close approximation to the observed data. Studies indicated high reliability and validity indexes. Findings support the role of acculturation as a mediator between ethnic group affiliation and standardized assessment results. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Exploring the structure of a neuropsychological battery across healthy elders and those with questionable dementia and Alzheimer's disease.

An exploratory factor analysis (EFA) and a series of confirmatory factor analyses were conducted on 17 variables designed to assess different cognitive abilities in a sample of healthy older adults. In the EFA, 4 factors emerged corresponding to language, memory, processing speed, and fluid ability constructs. The results of the confirmatory factor analyses suggested that a 5-factor model with an additional Attention factor improved the fit. The invariance of the 5-factor model was examined across 3 groups: a group of cognitively healthy older adults, a group of patients diagnosed with questionable dementia (QD), and a group of patients diagnosed with probable Alzheimer's disease (AD). Results of the invariance analysis suggest that the model may have configural invariance across the 3 groups but not metric invariance. Specifically, preliminary analyses suggest that the memory construct may represent something different in the QD and AD groups as compared to the healthy older adult group, consistent with the underlying pathology in early AD. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Measurement invariance of the Illness Intrusiveness Ratings Scale's three-factor structure in men and women with cancer.

Objective: Illness- and treatment-related disruptions to valued activities and interests (illness intrusiveness) are central to quality of life in chronic disease and are captured by three subscales of the Illness Intrusiveness Ratings Scale (IIRS): the Instrumental, Intimacy, and Relationships and Personal Development subscales. Using individual (CFA) and multisample confirmatory factor analyses (MSCFA), we evaluated measurement invariance of the IIRS's 3-factor structure in men and women with cancer. Method: Men (n = 210) and women (n = 206) with 1 of 4 cancer diagnoses (gastrointestinal, head and neck, lymphoma, lung) recruited from outpatient clinics completed the IIRS. In the MSCFA, we applied an analysis of means and covariance structures approach to test increasingly stringent equality constraints on factor structure parameters to evaluate weak, strong, and strict measurement invariance of the 3-factor structure between men and women. Results: Individual CFAs demonstrated fit of the hypothesized 3-factor structure for men and women, although more consistently for men. The 3-factor structure was superior to an alternative 1-factor structure. MSCFA results indicated that parameters of the 3-factor structure could be considered equivalent between the sexes up to the level of strong invariance. Strict invariance was not supported. Conclusions: Overall, IIRS scores can be interpreted similarly for men and women with cancer. Illness intrusiveness can be considered as important in the psychosocial adaptation of people with cancer as it is for people affected by other chronic conditions. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Measuring motivations for intercollegiate athlete alcohol use: A confirmatory factor analysis of the Drinking Motives Measure.

This study examined the psychometric properties of the Drinking Motives Measure (DMM) on a sample of 227 collegiate athletes. Confirmatory factor analyses indicated that the 4-factor structure of the DMM provided a better fit than either 2- or 1-factor models, but the overall fit of the 4-factor model was moderate at best. A revised 3-factor model consistent with prior research (M. L. Cooper, M. Russell, J. B. Skinner, & M. Windle, 1992) provided the best fit. Hierarchical multiple regression analyses indicated that the 3 DMM factors included in the revised model accounted for 17%-21% of the unique variance on alcohol consumption variables. Results provide preliminary evidence supporting the internal consistency, construct validity, and convergent validity of the revised 3-factor DMM with collegiate athletes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

What does the Brief Symptom Inventory measure in college and university counseling center clients?

This study examined the reliability and validity of the Brief Symptom Inventory (BSI) with a college and university counseling center population. Specifically, 2,078 clients from 31 counseling centers completed the BSI at intake. An exploratory factor analysis conducted on half the sample yielded a 6-factor solution rather than the 9-factor solution proposed by L. R. Derogatis (1993) or the 1-factor solution identified in previous research. A subsequent confirmatory analysis conducted on the remainder of the sample revealed support for the 6-factor model. Implications for using the BSI with counseling center clients, normative data based on client sex, and recommendations for further instrument development are discussed. (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)     

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)     

Adenoid cystic carcinomas of the maxillary sinus with intracranial invasion. Review of the literature, apropos of a case

The aims of this study were to analyze and assess dimensions of the Dental Fear Survey (DFS), which has been developed to measure dental fears and phobias. The present study of 313 dental-phobic individuals analyzed the DFS in a factor analysis using an exploratory (EFA) and a confirmatory (CFA) factor analysis to show dimensions and latent variables. The EFA showed a five-factor structure, with dimensions including items characterizing 'Avoidance of dental care', 'Physiologic arousal during dental treatment', 'Anticipatory anxiety while waiting for dental treatment', 'Fear of the injection needle', and 'Fear of the drill'. The total explained variance of the EFA was 63%. Although statistically significant, the CFA model showed a factor structure with 6 latent variables including a general dental fear factor loading on all 20 items together with the aforementioned 5 factors. In spite of the limitation in sample size and the significant test statistic for this 6-factor structure, the model was interpretable in its dimensionality. In conclusion, these factor analyses have shown a different factor structure of the DFS in this sample of dental-phobic individuals as compared with the dimensions reported from previous research in samples representing nonclinical populations.     

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)     

A reexamination of the factor structure of the Center for Epidemiologic Studies Depression Scale: Is a one-factor model plausible?

The Center for Epidemiologic Studies Depression Scale (CES–D) is one of the most widely used measures of depressive symptoms in research today. The original psychometric work in support of the CES–D (Radloff, 1977) described a 4-factor model underlying the 20 items on the scale. Despite a long history of evidence supporting this structure, researchers routinely report single-number summaries from the CES–D. The research described in this article examines the plausibility of 1-factor model using an initial sample of 595 subjects and a cross-validation sample of 661. After comparing a series of models found in the literature or suggested by analyses, we determined that the good fit of the 4-factor model is mostly due to its ability to model excess covariance associated with the 4 reverse-scored items. A 2-factor model that included a general depression factor and a positive wording method factor loading only on those 4 items had fit that was nearly as good as the original 4-factor model. We conclude that although a 1-factor model may not be the best model for the full 20-item CES–D, it is at least plausible. If a unidimensional set of items is required (e.g., for a unidimensional item response theory analysis), by dropping 5 items, we were able to find a 1-factor model that had very similar fit to the 4-factor model with the original 20 items. (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)     

Factor structure of the Mayo Older Americans Normative Sample (MOANS) core battery: Replication in a clinical sample.

G. E. Smith et al (1992) confirmed 5 factors to account for the covariance structure of a "core battery" of the Wechsler Adult Intelligence Scale—Revised (WAIS—R), Wechsler Memory Scale—Revised (WMS—R), and Auditory Verbal Learning Test administered to the MOANS. The authors attempted to replicate this model in a clinical sample. Data from 417 clinical cases were used in LISREL confirmatory factor analyses. Modifications of the original secondary variable assignments were necessary to obtain a 5-factor model with adequate fit. This 5-factor model was superior to alternative models. The results support the use of a 5-factor model in the development of factor-based summary indexes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of the Anxiety Sensitivity Index among African American college students.

This study examined the factor structure of the Anxiety Sensitivity Index (ASI) among African American college students. Confirmatory factor analysis indicated the 3-factor solution commonly found among other populations did not fit the data for African Americans. Although an exploratory factor analysis indicated the presence of a Mental Incapacitation factor, the Physical Concerns factor was divided into unsteady and cardiovascular concerns. Items typically comprising the Social factor were reflective of emotional controllability among African Americans. The ASI was also moderately correlated with measures of anxiety and depression providing only weak evidence of convergent and discriminate validity of the ASI for African Americans. Although support for the multidimensional nature of AS was found, the factor composition differs for African Americans. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Use of the Mental Health Inventory with adolescents: A secondary analysis of the Rand Health Insurance Study.

Few instruments exist for the assessment of adolescent mental health. In order to examine the appropriateness of the Mental Health Inventory (MHI) for use with adolescents, secondary analyses were conducted of the large subsample (n?=?953) of adolescents who participated in the community-based Rand Health Insurance Study. The reliability and readability of the MHI were confirmed. Subscales reflecting Psychological Well-Being and Psychological Distress were derived. The MHI, with its adolescent norms, is recommended for the assessment of adolescent mental health, particularly in studies in which comparison to a nonpsychiatric, normative adolescent population is indicated. (PsycINFO Database Record (c) 2011 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)