Observations on the factor structure of the WAIS-R

Confirmatory factor analyses (CFAs) revealed 2 important characteristics of the standardization data of the Wechsler Adult Intelligence Scale Revised. One finding was that Digit Symbol fit better on an attentional factor in younger groups, but fit was better when Digit Symbol loaded on a visual-perceptual factor in older groups. A second observation was that specifying correlated errors or a fourth factor to explain covariance between Block Design and Object Assembly improved model fit in all age groups except 70- to 74-year-olds. The results illustrate the value of CFA and have implications for investigating other samples and other Wechsler tests.     

Revisiting the factor structure of the Kirton Adaption-Innovation Inventory

The original Kirton Adaption-Innovation Inventory, used to measure innovative (as opposed to adaptive) individual cognitive styles, has been reported to have three factors: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. In exploring the construct validity of the Kirton Adaption-Innovation Inventory, findings from a 2003 study by Im, Hu, and Toh showed the existence of two subdimensions of the Sufficiency of Originality factor-Idea Generation and Preference for Change. In this study, using a sample of 356 household participants, with an average age of 56.0 yr. (SD = 14.0), average income of dollar 39,700 (SD = dollar 19,200), and average of 15.0 yr. of education (SD = 2), from the Arkansas Household Research Panel, we conducted factor analyses. The results specific to our selected sample indicate that a four-factor model recognizing the two subdimensions of Sufficiency of Originality has a better fit than the original three-factor model.     

Revisiting the factor structure of the questionnaire on smoking urges

This study assessed the factor structure of the Questionnaire on Smoking Urges (QSU), a commonly used assessment of cravings for cigarettes, with a sample of smokers presenting for treatment in a smoking cessation trial. On the basis of previous research, three confirmatory factor analytic models were tested. Model 1 hypothesized a 26-item, 2-factor model using the items reported in the original QSU analysis by S. T. Tiffany and D. J. Drobes (1991). Model 2 hypothesized a 12-item, 2-factor model comprised of the 6 most robust items found in each of the 2 factors of the original factor analysis. Using the 12 items from Model 2, Model 3 hypothesized a 12-item, 1-factor model. The 2nd model was found to fit the data best. Reliability was also tested using values obtained in this 2nd model, and these estimates were found to be reasonably good. Future research directions for the QSU are discussed.     

WAIS-R factor structure in Alzheimer's disease patients: a comparison of alternative models and an assessment of their generalizability

The WAIS-R is often used in neuropsychological evaluations of individuals with probable Alzheimer's disease (AD), but its factor structure in this population is unknown. Moreover, theories and past research findings make competing predictions concerning its structure. Using confirmatory factor analysis, the authors compared 5 alternative WAIS-R factor models among 516 AD patients: 1-factor (Spearman's g) and 2-factor (Verbal IQ and Performance IQ) models; a 3-factor model including Verbal Comprehension (VC), Perceptual Organization (PO), and Freedom From Distractibility (FD) factors; a 3-factor model in which Digit Symbol loads on PO rather than FD; and a 3-factor model in which Digit Symbol loads on both PO and FD. Results favored the 3-factor model in which Digit Symbol loads on PO rather than FD. Moreover, this model fit the data best among subsamples of patients defined by age, dementia severity, years of education, and gender.     

Revisiting the dimensional structure of the emotion domain

Recent research has claimed that a novelty dimension is needed to represent the cognitive emotion structure over and above valence, power and arousal. Novelty emerged when student samples evaluated the meaning of 24 emotion terms on 142 emotion features. This claim is debatable, however, because to date novelty has never been found in similarity sorting studies. It is possible that novelty emerged because sophisticated student samples evaluated emotion terms on emotion features. The current research identified a large, representative set of emotion terms using a free-listing task in a middle childhood up to early adulthood sample (N = 5071). Children, adolescents, students and adults (N = 1184) then evaluated the similarity between these emotion terms using a similarity rating task without priming any emotion feature. Novelty robustly emerged as the fourth dimension. The existence of novelty is thus confirmed with a different method across a wide variety of participants.     

Consciousness: converging insights from connectionist modeling and neuroscience

Over the past decade, many findings in cognitive neuroscience have resulted in the view that selective attention, working memory and cognitive control involve competition between widely distributed representations. This competition is biased by top-down projections (notably from prefrontal cortex), which can selectively enhance some representations over others. This view has now been implemented in several connectionist models. In this review, we emphasize the relevance of these models to understanding consciousness. Interestingly, the models we review have striking similarities to others directly aimed at implementing 'global workspace theory'. All of these models embody a fundamental principle that has been used in many connectionist models over the past twenty years: global constraint satisfaction.     

The factor structure of the state-trait anxiety inventory for children: Kindergarten through the fourth grades

The A-State and A-Trait scales of Spielberger's State-Trait Anxiety Inventory for Children (STAIC) were administered to a total of 1786 kindergarten, 1st-, 2nd-, 3rd- and 4th-grade disadvantaged black children. For the K-2 groups, the STAIC A-State scale was administered twice; it was administered only once in the 3rd–4th grades. The A-Trait scale was administered once to all 10 groups of children. A series of factor analyses, computed separately by sex and grade level, identified 3 factors: trait anxiety and 2 distinct state anxiety factors corresponding to the anxiety-present and anxiety-absent content of the A-State items. Similar 3-factor patterns were observed for both males and females for all five grade levels. Other factor solutions were examined but considered less satisfactory in terms of simple structure and psychological meaningfulness. The results were interpreted as providing strong evidence for the state-trait distinction in anxiety research with children.     

Analysis of the factor structure of the Sociocultural Attitudes Towards Appearance Questionnaire (SATAQ-3) in Spanish secondary-school students through exploratory structural equation modeling

The aims of the present study were: (1) to assess the factor structure of the SATAQ-3 in Spanish secondary-school students by means of exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) models; and (2) to study its invariance by sex and school grade. ESEM is a technique that has been proposed for the analysis of internal structure that overcomes some of the limitations of EFA and CFA. Participants were 1559 boys and girls in grades seventh to tenth. The results support the four-factor solution of the original version, and reveal that the best fit was obtained with ESEM, excluding Item 20 and with correlated uniqueness between reverse-keyed items. Our version shows invariance by sex and grade. The differences between scores of different groups are in the expected direction, and support the validity of the questionnaire. We recommend a version excluding Item 20 and without reverse-keyed items.     

Number-knower levels in young children: insights from Bayesian modeling

Lee and Sarnecka (2010) developed a Bayesian model of young children’s behavior on the Give-N test of number knowledge. This paper presents two new extensions of the model, and applies the model to new data. In the first extension, the model is used to evaluate competing theories about the conceptual knowledge underlying children’s behavior. One, the knower-levels theory, is basically a “stage” theory involving real conceptual change. The other, the approximate-meanings theory, assumes that the child’s conceptual knowledge is relatively constant, although performance improves over time. In the second extension, the model is used to ask whether the same latent psychological variable (a child’s number-knower level) can simultaneously account for behavior on two tasks (the Give-N task and the Fast-Cards task) with different performance demands. Together, these two demonstrations show the potential of the Bayesian modeling approach to improve our understanding of the development of human cognition.     

Beyond congruence measures for the evaluation of personality factor structure replicability: An exploratory structural equation modeling approach

The present study aims to illustrate an encompassing approach to the evaluation of personality factor structure replicability based on novel exploratory structural equation modeling (ESEM) methods. This approach comprises formal tests of measurement invariance applied to the flexible ESEM framework and overcomes the limitations of congruence measures that have traditionally been used to assess factor replicability in personality research. On the basis of 1566 responses to the widely-used NEO Five-Factor-Inventory (NEO-FFI), we demonstrate this ESEM approach in the context of examining the invariance of the NEO-FFI factor structure across gender. The approach is shown to converge with traditional congruence measures and extend these measures for examining factorial structure consistency. In addition, more general replicative data supporting the validity of the NEO-FFI are reported. We discuss the ESEM approach as a viable alternative to the congruence approach and acknowledge some important limitations of the method.     

Examiner Errors on the WAIS-R: A Source of Concern

Munchausen syndrome (MS) is characterized by patients' chronic and relentless pursuit of medical treatment for combinations of symptoms of consciously self-inflicted injury and falsely reported symptomatology. MS patients are adults, as are perpetrators of Munchausen syndrome by proxy (MSBP). MSBP is an unusual form of child abuse in which a parent, usually the mother, brings a child for medical attention with symptoms falsified or directly induced by the mother. Most reports of MSBP have been of a few cases appearing in medical and pediatric literature. Motivation in both disorders is unclear, and diagnosis and treatment present difficult problems that require more research.     

The Factor Structure of the WAIS-R: Replicability Across Age-Groups

This article examines the factor structure of the Wechsler Adult Intelligence Scale- Revised across nine age groups using several methods of factor analysis, including reliable component analysis (RCA). RCA defines orthogonal components which have maximum reliability, and has several desirable properties which are discussed. Although the one- factor model (General Intelligence, or g), and the two-factor model (Verbal and Performance) of the WAIS-R are fairly well established. no such consensus has been reached regarding the three-factor model (Verbal Comprehension. Perceptual Organization, and Freedom from Distractibility). In the present study, g and Verbal and Performance factors were consistent across age groups for most methods of extraction, although somewhat different from the usual division. The three-factor model, however, was not consistently identified across age groups by any method, particularly with respect to Freedom from Distractibility. Meaningful interpretation of scores on this factor is therefore tenuous. RCA performed well, relative to most other methods, in identifying factors consistently across age groups and can provide useful and unique information.     

Examining the factor structure of the Psychological Mindedness Scale in the Japanese population through exploratory and confirmatory factor analyses

Psychological mindedness (PM) is a psychological construct that represents the tendency and ability to understand the relationships between thoughts, feelings, and behavior. This study examined the statistical properties, particularly the factor structure, of the Psychological Mindedness Scale (PMS) in a non‐clinical Japanese sample through exploratory and confirmatory factor analysis. The relationship between PMS and depression was also examined for predictive validity. The results suggested that the PMS tested on a Japanese sample contains the following four factors: (a) belief in the benefits of discussing one's problems; (b) access to feelings; (c) openness to new ideas and capacity to change; and (d) interest in the meaning and motivation of own and others' behavior. Whereas the total PM score and Factors 2 and 3 had negative correlations with depression, there was a positive correlation between Factor 4 and depression. The 4‐factor structure of the scale is deemed to be applicable to the Japanese population.     

Discriminating Personality Disorders Using the WAIS-R: A Comparison of Three Approaches

The purpose of this article is to determine if performance on the Wechsler Adult intelligence Scale-Revised (WAIS-R) can be used to discriminate between the different taxonomies of personality disorder classification specified by three models: the biosocial, the interpersonal, and that described by the Diagnostic and Statistical Manual of Mental Disorder (3rd ed., rev. [DSM-III-R]; American Psychiatric Association, 1987). Three discriminant function analyses were performed and the results indicated the usefulness of the WAIS-R in making such differentiations for all the approaches. The WAIS-R proved most effective with the biosocial model, evidencing a robust and clinically meaningful pattern of results. implications for further research are discussed.     

Discriminating personality disorders using the WAIS-R: a comparison of three approaches

The purpose of this article is to determine if performance on the Wechsler Adult Intelligence Scale-Revised (WAIS-R) can be used to discriminate between the different taxonomies of personality disorder classification specified by three models: the biosocial, the interpersonal, and that described by the Diagnostic and Statistical Manual of Mental Disorders (3rd ed., rev. [DSM-III-R]; American Psychiatric Association, 1987). Three discriminant function analyses were performed and the results indicated the usefulness of the WAIS-R in making such differentiations for all the approaches. The WAIS-R proved most effective with the biosocial model, evidencing a robust and clinically meaningful pattern of results. Implications for further research are discussed.     

Testing differences between nested covariance structure models: Power analysis and null hypotheses

For comparing nested covariance structure models, the standard procedure is the likelihood ratio test of the difference in fit, where the null hypothesis is that the models fit identically in the population. A procedure for determining statistical power of this test is presented where effect size is based on a specified difference in overall fit of the models. A modification of the standard null hypothesis of zero difference in fit is proposed allowing for testing an interval hypothesis that the difference in fit between models is small, rather than zero. These developments are combined yielding a procedure for estimating power of a test of a null hypothesis of small difference in fit versus an alternative hypothesis of larger difference.