Education-Stratified Base-Rate Information on Discrepancy Scores Within and Between the Wechsler Adult Intelligence Scale-Third Edition and the Wechsler Memory Scale-Third Edition.

The Wechsler Adult Intelligence Scale--Third Edition (WAIS-III; D. Wechsler, 1997a) and the Wechsler Memory Scale--Third Edition (WMS-III; D. Wechsler, 1997b) are 2 of the most frequently used measures in psychology and neuropsychology. To facilitate the diagnostic use of these measures in the clinical decision-making process, this article provides information on education-stratified, directional prevalence rates (i.e., base rates) of discrepancy scores between the major index scores for the WAIS-III, the WMS-III, and between the WAIS-III and WMS-III. To illustrate how such base-rate data can be clinically used, this article reviews the relative risk (i.e., odds ratio) of empirically defined "rare" cognitive deficits in 2 of the clinical samples presented in the WAIS-III--WMS-III Technical Manual (The Psychological Corporation, 1997). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Age-related invariance of abilities measured with the Wechsler Adult Intelligence Scale-III.

Examination of measurement invariance tests the assumption that the model underlying a set of test scores is directly comparable across groups. The observation of measurement invariance provides fundamental evidence for the inference that scores on a test afford equivalent measurement of the same psychological traits among diverse groups. Groups may be derived from different psychosocial backgrounds or different clinical presentations. In the Wechsler Adult Intelligence Scale-III (WAIS-III)/Wechsler Memory Scale-III (WMS-III) Technical Manual (Psychological Corporation, 2002), there appears to be a breakdown in factor structure among the standardization cases in older adults. In this study, the authors evaluated the invariance of the measurement model of the WAIS-III across 5 age bands. All components of the measurement model were examined. Overall, the evidence pointed to invariance across age of a modified 4-factor model that included cross-loadings for the Similarities and Arithmetic subtests. These results support the utility of the WAIS-III as a measure of stable intelligence traits across a wide age range. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor analysis of the Wechsler Intelligence Scale for Children-Third Edition in an Australian clinical sample.

A confirmatory factor analysis was conducted on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III; D. Wechsler, 1991) with a sample of 579 Australian children referred for assessment because of academic difficulties in the classroom. The children were administered the WISC-III as part of the initial eligibility determination process for funding of special education services. The children were aged between 6 years and 16 years 7 months. One-, two-, three-, and four-factor models were tested. The four-factor model proposed in the WISC-III manual fit the data significantly better than all other models tested. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Alternative Factor Models and Factorial Invariance of the GHQ-12: A Large Sample Analysis Using Confirmatory Factor Analysis.

This study tested alternative factor models of the General Health Questionnaire-12 (GHQ-12), based on previous research findings, with a large sample using confirmatory factor analysis. An alternative models framework was used to test 6 factor analytic models. A 3-factor model was the best explanation of the sample data. The 3 factors were labeled Anxiety-Depression, Social Dysfunction, and Loss of Confidence. The model was found to be factorially invariant between men and women. The utility of the 3 subscales, as opposed to the total GHQ-12 score, is questioned as they appear to provide little information beyond that of a general factor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Standardization of the Wechsler Adult Intelligence Scale for older persons.

The primary purpose of this project is the standardization of the WAIS for older groups. A probability sample of the population of Kansas City was drawn and 475 persons, aged 60 and over, were given all the Verbal tests. For approximately 25% of these cases, one or more of the performance tests could not be used for various reasons. In addition to the standardization data, it was found that a) additional time makes very little difference in the scores; and b) the differences between the sexes on the WAIS were quite small. In general, the decline of verbal abilities with age is relatively small until about age 70. The decline in Performance measures is somewhat greater. There appears to be a similar factorial composition of the WAIS at all age levels. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Ipsative Comparisons of Index Scores for the Canadian WAIS-III.

The Canadian standardization of the Wechsler Adult Intelligence Scale--Third Edition (WAIS-III; Wechsler, 1997a, 2001) provides factor-based index scores, giving an intermediate level of analysis between IQ scores and individual subtests. This article provides tables for comparing all indices to the mean index score, and for identifying the statistical significance and relative frequency of obtained differences. This simultaneous or ipsative approach can avoid some of the statistical and logical pitfalls of multiple pairwise comparisons, such as decreased interpretability and inflated risk of Type I errors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Confirmatory Factor Analysis of Cattell-Horn-Carroll Theory and Cross-Age Invariance of the Woodcock-Johnson Tests of Cognitive Abilities III.

Establishing an instrument's factorial invariance provides the empirical foundation to compare an individual's score across time or to examine the pattern of correlations between variables in differentiated age groups. In the recently published Woodcock-Johnson Tests of Cognitive Ability (WJ COG) and Achievement (WJ ACH) Third Edition (III) the authors provide evidence for the factor structure of the entire battery, but they did not report the formal testing of the factorial invariance of the battery across age groups. In practice, all WJ III tests are generally not administered to a single examinee. The purpose of this study was to investigate the factorial invariance of the WJ COG under one of the most frequent testing scenarios: the calculation of an examinee's General Intellectual Ability Score-Extended (GIA-EXT; a single, global or full-scale score of intelligence) and performance on the seven latent cognitive processing or Cattell-Horn-Carroll (CHC) clusters. The overall results from this study provide support for the factorial invariance of the WJ COG when the 14 tests contributing to the calculation of an examinee's GIA and CHC factors scores are administered. Support is provided for the WJ COG theoretical factor structure across five age groups (ages 6 to 90+ years). (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Confirmatory Factor Structure and Measurement Invariance of the Memory Compensation Questionnaire.

Recent research with the Memory Compensation Questionnaire (MCQ) has examined changes, functions, and correlates of compensatory strategy use in older adults. The twofold aim of this study was to test (a) the hypothesized structure of the MCQ and (b) structural equivalence across age, gender, and time. The 7-scale MCQ was designed to measure 5 compensatory mechanisms and 2 general aspects of compensatory awareness. The authors assembled a 3-wave (6-year) sample (N=521; age=55-85 years) from the Victoria Longitudinal Study. The results of structural equation modeling supported (a) the a priori structure of the MCQ and (b) the inference of measurement invariance across the 3 dimensions. Accordingly, the MCQ is available for measuring self-reported efforts to compensate for everyday memory losses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor analysis of the WMS-III in patients with temporal lobe epilepsy.

Five competing models specifying the factor structure underlying the Wechsler Memory Scale--Third Edition (D. Wechsler, 1997b) primary subtest scores were evaluated in a sample of patients with intractable temporal lobe epilepsy (N=254). Models specifying separate immediate and delayed constructs resulted in inadmissible parameter estimates and model specification error. There were negligible goodness-of-fit differences between a 3-factor model of working memory, auditory memory, and visual memory and a nested--more parsimonious--2-factor model of working memory and general memory. The results suggest that specifying a separate visual memory factor provides little advantage for this sample--an unexpected finding in a population with lateralized dysfunction, for which one might have predicted separate auditory and visual memory dimensions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Two abbreviated versions of the Wechsler Adult Intelligence Scale-III: Validation among persons with traumatic brain injury.

Objective: To examine the clinical value of two 7-subtest versions of the Wechsler Adult Intelligence Scale-III (WAIS-111): one using Block Design (WAIS-III/BD7) and another using Matrix Reasoning (WAIS-III/MR7) among persons with traumatic brain injury (TBI). Study Design: Actual obtained scores from the full WAIS-111 were compared with scores that would have been obtained using each of the two abbreviated versions. Participants: One hundred eighteen persons with TBI tested consecutively in an academic medical center outpatient neuropsychology laboratory. Results: For the WAIS-IIVBD7, corrected validity coefficients were .97 (Verbal IQ [VIQI), .94 (Performance IQ [PIQ]), and .97 (Full Scale IQ [FSIQJ); 92%, 70%, and 92% of scores fell within 5 points of full version scores for VIQ, PIQ, and FSIQ, respectively. WAIS-III/MR7 corrected validity coefficients were .97 (VIQ), .95 (PIQ), and .97 (FSIQ); 92%, 76%, and 92% of short-form scores were within 5 points of actual scores for VIQ, PIQ, and FSIQ, respectively. Conclusions: Both abbreviated versions demonstrated acceptable psychometric characteristics, but the matrix reasoning version may be more advantageous in assessing persons with TBI because it can be used with persons who have TBI-related motor skills impairment. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Adult Age and Digit Symbol Substitution Performance: A Meta-Analysis.

This article reports the results of a meta-analysis of the effects of age, education, and estimated year of measurement on scores from the Wechsler Adult Intelligence Scale and the Wechsler Adult Intelligence Scale-Revised Digit Symbol Substitution Test. Analysis of effect sizes for age reported in 141 studies published between 1986 and 2002 indicated a mean standardized difference of -2.07. Age accounted for 86% of the variance in a regression model using age, education, and year submitted as predictors of Digit Symbol scores. There was no association between years of education or year submitted and Digit Symbol scores for younger adults or older adults. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor structure of the Kaufman Assessment Battery for Children--Second Edition: Consistency with Cattell-Horn-Carroll theory.

The Kaufman Assessment Battery for Children-Second Edition (KABC-II) is a departure from the original KABC in that it allows for interpretation via two theoretical models of intelligence. This study had two purposes: to determine whether the KABC-II measures the same constructs across ages and to investigate whether those constructs are consistent with Cattell-Horn-Carroll (CHC) theory. Multiple-sample analyses were used to test for equality of the variance-covariance matrices across the 3- to 18-year-old sample. Higher-order confirmatory factor analyses were used to compare the KABC-II model with rival CHC models for children ages 6 to 18. Results show that the KABC-II measures the same constructs across all ages. The KABC-II factor structure for school-age children is aligned closely with five broad abilities from CHC theory, although some inconsistencies were found. Models without time bonuses fit better than those with time bonuses. The results provide support for the construct validity of the KABC-II. Additional research is needed to more completely understand the measurement of fluid reasoning and the role of time bonuses on some tasks. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Orthogonal higher order structure and confirmatory factor analysis of the French Wechsler Adult Intelligence Scale (WAIS-III).

According to the most widely accepted Cattell–Horn–Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS–III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a Schmid–Leiman orthogonalization transformation (SLT) to the standardization data published in the French technical manual for the WAIS–III. Results showed that the general factor accounted for 63% of the common variance and that the specific contributions of the 1st-order factors were weak (4.7%–15.9%). We also addressed this issue by using confirmatory factor analysis. Results indicated that the bifactor model (with 1st-order group and general factors) better fit the data than did the traditional higher order structure. Models based on the CHC framework were also tested. Results indicated that a higher order CHC model showed a better fit than did the classical 4-factor model; however, the WAIS bifactor structure was the most adequate. We recommend that users do not discount the Full Scale IQ when interpreting the index scores of the WAIS–III because the general factor accounts for the bulk of the common variance in the French WAIS–III. The 4 index scores cannot be considered to reflect only broad ability because they include a strong contribution of the general factor. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Exploratory and higher-order factor analyses of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) adolescent subsample.

The factor structure of the Wechsler Adult Intelligence Scale–Fourth Edition (WAIS-IV; Wechsler, 2008a) with the adolescent participants (ages 16–19 years; N = 400) in the standardization sample was assessed using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analyses. Results from exploratory factor analyses were not included in the WAIS-IV Technical and Interpretation Manual (Wechsler, 2008b) and are necessary for determining convergence or divergence with the reported confirmatory factor analyses. As found with the total WAIS-IV standardization sample (Canivez & Watkins, in press), the present results with the adolescent subsample found all WAIS-IV subtests (10- and 15-subtest configurations) were properly associated with their four theoretically proposed first-order factors, but only one factor extraction criterion (standard error of scree) recommended extraction of four factors. Hierarchical exploratory analyses with the Schmid and Leiman (1957) procedure found that the second-order g factor accounted for major portions of total and common variance, while the four first-order factors accounted for small portions of total and common variance. It was concluded that the WAIS-IV provides strong measurement of general intelligence in adolescents and clinical interpretation should be primarily at that level. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Construct validity of the Wechsler Abbreviated Scale of Intelligence and Wide Range Intelligence Test: Convergent and structural validity.

The Wechsler Abbreviated Scale of Intelligence (WASI; Psychological Corporation, 1999) and the Wide Range Intelligence Test (WRIT; Glutting, Adams, & Sheslow, 2000) are two well-normed brief measures of general intelligence with subtests purportedly assessing verbal–crystallized abilities and nonverbal–fluid–visual abilities. With a sample of 152 children, adolescents, and adults, the present study reports meaningful convergent validity coefficients and a latent factor structure consistent with the theoretical intellectual models both tests were constructed to reflect. Consideration of the hierarchical model of intelligence tests and issues regarding test interpretation are presented. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Conceptualizing Exposure to Community Violence: An Application of Confirmatory Factor Analysis.

The primary goal of the present study was to demonstrate how the technique of confirmatory factor analysis (CFA) could be applied to common measurement issues within the school psychology literature. Specifically, the CFA technique was used to test several alternative factor structures thought to underlie a commonly used measure of exposure to community violence. Data were collected from 242 elementary and middle-school, inner city, African American students. Results illustrate the potential benefits and limitations of applying CFA. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Comment on Factor Analysis of the APA Structure.

After reading Dorothy Adkins' heroic attempt (American Psychologist, 1954, 9, 175-180) to analyze the structure of the APA by factor analysis, the present author attempted a cluster analysis of her correlation matrix. The aim was to see whether or not results equally as satisfactory as those achieved by factor analysis could be obtained by the shorter method. (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)     

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)     

Confirmatory Factor Analysis of the Psychopathy Checklist: Screening Version in Offenders With Axis I Disorders.

One hundred forty-nine inpatients within a maximum security psychiatric facility were assessed with the Psychopathy Checklist: Screening Version (PCL:SV; S. D. Hart, D. N. Cox, & R. D. Hare, 1995). Within the total sample, 68% had a psychotic disorder and 30% met criteria for psychopathy. Using confirmatory factor analysis, the authors tested the 2-factor PCL:SV model of psychopathy and recent 3- and 4-factor models. Results indicated good fit for each model, with the 4-factor model showing best overall fit. Structural equation modeling was used to determine which psychopathy factors predicted 6-month follow-up of inpatient aggression. The 2-, 3-, and 4-factor models, respectively, accounted for 16%.27%. and 3l% of the variance in aggression. (PsycINFO Database Record (c) 2010 APA, all rights reserved)