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1.
Br J Clin Psychol ; 2024 Jul 02.
Article in English | MEDLINE | ID: mdl-38956764

ABSTRACT

OBJECTIVES: This study examined the factorial invariance of the factor structure of the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across the UK, US and Australia & New Zealand (A&NZ). The factorial equivalence of cognitive assessments should be demonstrated before assuming cross-culture generalizability and interpretations of score comparisons. METHODS: Data were obtained from the UK, US and A&NZ normative standardizations of the WISC-V. The samples consisted of 415 UK, 2200 US and 528 A&NZ children, aged 6-16. Confirmatory factor analysis was applied separately in each sample to establish the baseline model. Next, tests of factorial invariance were undertaken using the recommended hierarchical approach, firstly across the UK and A&NZ samples and then across the UK and US samples. RESULTS: The five-factor first-order scoring model was found to be excellent fit across all three samples independently. Strict factorial invariance of the WISC-V was demonstrated firstly across the UK and A&NZ and secondly the UK and US nationally representative standardization samples. Comparison of latent means found small but significant differences in female children across the UK and A&NZ samples. CONCLUSIONS: Consistent with previous research, these results demonstrate the generality of the WISC-V factor structure across the UK, US and A&NZ. Furthermore, as the WISC-V factor structure aligns with the Cattell-Horn-Carroll (CHC) model of cognitive abilities, the results add further support to the cross-cultural generalizability of the CHC model. Small but significant differences in latent factor scores found across samples support the development and use of local normative data.

2.
J Intell ; 11(8)2023 Aug 07.
Article in English | MEDLINE | ID: mdl-37623542

ABSTRACT

The Cattell-Horn-Carroll (CHC) model is based on psychometric cognitive ability research and is the most empirically supported model of cognitive ability constructs. This study is one in a series of cross-national comparisons investigating the equivalence and generalizability of psychological constructs which align with the CHC model. Previous research exploring the cross-cultural generalizability of cognitive ability measures concluded that the factor analytic models of cognitive abilities generalize across cultures and are compatible with well-established CHC constructs. The equivalence of the psychological constructs, as measured by the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V), has been established across English-speaking samples. However, few studies have explored the equivalence of psychological constructs across non-English speaking, nationally representative samples. This study explored the equivalence of the WISC-V five-factor model across standardization samples from France, Spain, and the US. The five-factor scoring model demonstrated excellent fit across the three samples independently. Factorial invariance was investigated and the results demonstrated strict factorial invariance across France, Spain, and the US. The results provide further support for the generalizability of CHC constructs across Western cultural populations that speak different languages and support the continued use and development of the CHC model as a common nomenclature and blueprint for cognitive ability researchers and test developers. Suggestions for future research on the CHC model of intelligence are discussed.

3.
Psychol Assess ; 35(6): 510-521, 2023 Jun.
Article in English | MEDLINE | ID: mdl-36892878

ABSTRACT

Measurement invariance underlies construct validity generalization in psychology and must be demonstrated prior to any cross-population comparison of means and validity correlations. The purpose of this study was to evaluate the measurement invariance of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) across Australia and New Zealand (A&NZ) versus the U.S. normative samples. The WISC-V is the most widely used assessment of intelligence in children. Participants were census matched, nationally representative samples from A&NZ (n = 528) and the United States (n = 2,200) who completed the WISC-V standardization version. Baseline model estimation was conducted to ensure the same model showed acceptable fit in both samples separately. Measurement invariance was then examined across A&NZ and United States. The five-factor scoring model described in the test manual showed excellent fit in both samples. Results showed that the WISC-V demonstrated strict metric measurement invariance across the A&NZ and U.S. samples. Further, the results were consistent with the Cattell-Horn-Carroll (CHC) framework of cognitive abilities, indicating the generalizability of cognitive abilities across cultures. Small but significant differences in visual spatial latent means were found across females, highlighting the importance of local normative data. These findings suggest that the WISC-V scores can be meaningfully compared across A&NZ and United States and that the constructs, which align with CHC theory, and associated construct validity research, generalize across countries. (PsycInfo Database Record (c) 2023 APA, all rights reserved).


Subject(s)
Psychometrics , Wechsler Scales , Child , Female , Humans , Australia , Factor Analysis, Statistical , New Zealand , United States , Wechsler Scales/standards
4.
Appl Neuropsychol Adult ; 24(2): 116-131, 2017.
Article in English | MEDLINE | ID: mdl-27077790

ABSTRACT

The most prominent pattern of cognitive change over the lifespan centers on the difference between patterns of maintained abilities on tests of crystallized knowledge and patterns of steady decline on tests of problem solving and processing speed. Whereas the maintained-vulnerable dichotomy is well established in the literature, questions remain about cognitive decline in problem solving when processing speed is controlled. This relationship has been examined in cross-sectional studies that typically used non-clinical tests with non-representative samples of adults. This study extended these findings to the most popular clinical test, the Wechsler Adult Intelligence Scale -4th ed. (WAIS-IV), using its carefully stratified sample as the source of data (ages 20-90 for Indexes, ages 16-90 for Perceptual Reasoning subtests). Multivariate Analysis of Covariance (MANCOVA) revealed that 70-80% of the variance in declining reasoning ability was shared with the speed factor. This was true (a) on the index and subtest level and (b) regardless of the type of problem-solving task employed. Such robust findings have important clinical and research implications for neuropsychologists, who most frequently use the Wechsler scales as part of their assessment battery.


Subject(s)
Aging/physiology , Cognitive Dysfunction/physiopathology , Problem Solving/physiology , Wechsler Scales , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult
5.
Psychol Assess ; 28(11): 1489-1501, 2016 11.
Article in English | MEDLINE | ID: mdl-26866794

ABSTRACT

Assessment of measurement invariance across populations is essential for meaningful comparison of test scores, and is especially relevant where repeated measurements are required for educational assessment or clinical diagnosis. Establishing measurement invariance legitimizes the assumption that test scores reflect the same psychological trait in different populations or across different occasions. Examination of Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) U.S. standardization samples revealed that a first-order 5-factor measurement model was best fitting across 9 age groups from 16 years to 69 years. Strong metric invariance was found for 3 of 5 factors and partial intercept invariance for the remaining 2. Pairwise comparisons of adjacent age groups supported the inference that cognitive-trait group differences are manifested by group differences in the test scores. In educational and clinical settings these findings provide theoretical and empirical support to interpret changes in the index or subtest scores as reflecting changes in the corresponding cognitive abilities. Further, where clinically relevant, the subtest score composites can be used to compare changes in respective cognitive abilities. The model was supported in the Canadian standardization data with pooled age groups but the sample sizes were not adequate for detailed examination of separate age groups in the Canadian sample. (PsycINFO Database Record


Subject(s)
Wechsler Scales/standards , Adolescent , Adult , Age Factors , Aged , Canada , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Psychometrics , Reproducibility of Results , Wechsler Scales/statistics & numerical data , Young Adult
6.
Psychol Assess ; 27(4): 1312-23, 2015 Dec.
Article in English | MEDLINE | ID: mdl-25774642

ABSTRACT

Historically, Digit Span has been regarded as a relatively poor indicator of general intellectual functioning (g). In fact, Wechsler (1958) contended that beyond an average level of Digit Span performance, there was little benefit to possessing a greater memory span. Although Wechsler's position does not appear to have ever been tested empirically, it does appear to have become clinical lore. Consequently, the purpose of this investigation was to test Wechsler's contention on the Wechsler Adult Intelligence Scale-Fourth Edition normative sample (N = 1,800; ages: 16 - 69). Based on linear and nonlinear contrast analyses of means, as well as linear and nonlinear bifactor model analyses, all 3 Digit Span indicators (LDSF, LDSB, and LDSS) were found to exhibit primarily linear associations with FSIQ/g. Thus, the commonly held position that Digit Span performance beyond an average level is not indicative of greater intellectual functioning was not supported. The results are discussed in light of the increasing evidence across multiple domains that memory span plays an important role in intellectual functioning.


Subject(s)
Intelligence , Memory, Short-Term , Wechsler Scales , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Models, Statistical , Young Adult
7.
Environ Res ; 132: 413-20, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24853978

ABSTRACT

BACKGROUND: The dramatic decrease in U.S. blood lead levels (BLLs) since the 1970s has been documented--however, the anticipated societal impact on intelligence quotient (IQ) has not. The objectives of this study were to determine whether mean IQs of American adults, adjusted for demographics, have increased in concert with society's decreasing BLL. METHODS: Mean IQs of eight normal adult cohorts (N=800), tested individually in 2007 by trained clinicians, were compared using ANCOVA and correlation analysis. Cohorts ranged in mean societal BLLs from 4 1/2 µg/dL (born 1985-1987) to 19 µg/dL (born 1963-1972). IQs were adjusted for confounders-education, gender, ethnicity, region, urban status. To control for age, we analyzed IQ data for a second adult sample (N=800), tested in 1995-all born when BLLs were high (1951-1975, BLL ≥ 15 µg/dL). RESULTS: When controlling for education, gender, ethnicity, and region, the regression of IQs on BLLs was significant (r=-0.84, p<0.01); the modeled change in BLLs from 20 to 4 µg/dL suggests predicted increases of 3.8 IQ points (95% CI, 1.4-6.2). Also controlling for urban status produced significance (r=-0.88, p<0.01) with predicted increases of 5.2 points (95% CI, 2.4-8.0). Control analyses ruled out aging as a confounder. CONCLUSIONS: The dramatic societal decreases in BLLs in the U.S. since the 1970s were associated with a 4-5-point increase in the mean IQs of Americans. This effect is consistent with researchers' predictions; however, other variables (e.g., medical advances) may have contributed to the IQ gains.


Subject(s)
Intelligence/drug effects , Lead/adverse effects , Adult , Cohort Studies , Female , Humans , Intelligence Tests , Lead/blood , Male , United States , Young Adult
8.
Assessment ; 18(2): 133-40, 2011 Jun.
Article in English | MEDLINE | ID: mdl-20826685

ABSTRACT

Examination of measurement invariance provides a powerful method to evaluate the hypothesis that the same set of psychological constructs underlies a set of test scores in different populations. If measurement invariance is observed, then the same psychological meaning can be ascribed to scores in both populations. In this study, the measurement model including core and supplementary subtests of the Wechsler Adult Intelligence Scale-Fourth edition (WAIS-IV) were compared across the U.S. and Canadian standardization samples. Populations were compared on the 15 subtest version of the test in people aged 70 and younger and on the 12 subtest version in people aged 70 or older. Results indicated that a slightly modified version of the four-factor model reported in the WAIS-IV technical manual provided the best fit in both populations and in both age groups. The null hypothesis of measurement invariance across populations was not rejected, and the results provide direct evidence for the generalizability of convergent and discriminant validity studies with the WAIS-IV across populations. Small to medium differences in latent means favoring Canadians highlight the value of local norms.


Subject(s)
Cognition Disorders/diagnosis , Cultural Competency , Memory Disorders/diagnosis , Wechsler Scales/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Canada , Cognition , Cognition Disorders/psychology , Confidence Intervals , Culture , Female , Humans , Male , Memory , Memory Disorders/psychology , Middle Aged , Models, Educational , United States , Wechsler Scales/standards , Young Adult
9.
Assessment ; 15(2): 132-44, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18463404

ABSTRACT

A psychological measurement model provides an explicit definition of (a) the theoretical and (b) the numerical relationships between observed scores and the latent variables that underlie the observed scores. Examination of the metric invariance of a measurement model involves testing the hypothesis that all components of the model relating observed scores to latent variables are equal across groups. The assumption of metric invariance is necessary for simple interpretation of scores. Establishing metric invariance also has implications for interpretation of convergent and divergent validity and patterns of deficit or disability. In this study the equivalence of the measurement model derived from the U.S. Wechsler Adult Intelligence Scale-III standardization sample was compared with a heterogeneous neurosciences sample in Australia. A pattern of strict metric invariance was observed across samples. These results provide evidence of the generality of the model underlying measurement of cognitive abilities.


Subject(s)
Cognition Disorders/diagnosis , Cognition/physiology , Adolescent , Adult , Aged , Aged, 80 and over , Australia , Cognition Disorders/psychology , Female , Humans , Intelligence Tests , Likelihood Functions , Male , Middle Aged , Models, Psychological , Models, Statistical , Neuropsychological Tests , Psychological Tests , Psychometrics/standards , United States
10.
J Clin Exp Neuropsychol ; 29(7): 768-80, 2007 Oct.
Article in English | MEDLINE | ID: mdl-17896201

ABSTRACT

Equivalence of the psychological model underlying Wechsler Adult Intelligence Scale-Third Edition (WAIS-III) scores obtained in the United States and Australia was examined in this study. Examination of metric invariance involves testing the hypothesis that all components of the measurement model relating observed scores to latent variables are numerically equal in different samples. The assumption of metric invariance is necessary for interpretation of scores derived from research studies that seek to generalize patterns of convergent and divergent validity and patterns of deficit or disability. An Australian community volunteer sample was compared to the US standardization data. A pattern of strict metric invariance was observed across samples. In addition, when the effects of different demographic characteristics of the US and Australian samples were included, structural parameters reflecting values of the latent cognitive variables were found not to differ. These results provide important evidence for the equivalence of measurement of core cognitive abilities with the WAIS-III and suggest that latent cognitive abilities in the US and Australia do not differ.


Subject(s)
Cognition/physiology , Wechsler Scales/statistics & numerical data , Wechsler Scales/standards , Adolescent , Adult , Aged , Aged, 80 and over , Australia , Factor Analysis, Statistical , Female , Humans , Intelligence/physiology , International Cooperation , Male , Middle Aged , Models, Statistical , Psychometrics , United States
11.
Psychol Assess ; 18(3): 334-9, 2006 Sep.
Article in English | MEDLINE | ID: mdl-16953736

ABSTRACT

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.


Subject(s)
Aging/psychology , Wechsler Scales/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Factor Analysis, Statistical , Humans , Middle Aged , Models, Statistical , Psychometrics/methods
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