Adaptation to disability: applying selective optimization with compensation to the behaviors of older adults with osteoarthritis

This research extends the use of P. B. Baltes and M. M. Baltes's (1990) theory of selective optimization with compensation (SOC) in an effort to conceptually integrate the adaptational behaviors of 248 older adults with disability arising from osteoarthritis. The authors also studied the relationship of SOC to age, illness variables, disability, illness perceptions, and support. The results highlight the variability and plasticity of older adults' efforts to manage disability, with most efforts aimed at compensation and optimization rather than selection. The benefit of using SOC to study adaptation to chronic illness and disability is discussed.     

Bifactor Modeling and the Estimation of Model-Based Reliability in the WAIS-IV

Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale–Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance. An alternative model that has not yet been examined for the WAIS-IV is the bifactor model. Bifactor models allow all subtests to load onto both the general factor and their respective index factor directly. Bifactor models are also particularly amenable to the estimation of model-based reliabilities for both global composite scores (ω _h ) and subscale/index scores (ω _s ). Based on the WAIS-IV normative sample correlation matrices, a bifactor model that did not include any index factor cross loadings or correlated residuals was found to be better fitting than the conventional higher order and oblique factor models. Although the ω _h estimate associated with the full scale intelligence quotient (FSIQ) scores was respectably high (.86), the ω _s estimates associated with the WAIS-IV index scores were very low (.13 to .47). The results are interpreted in the context of the benefits of a bifactor modeling approach. Additionally, in light of the very low levels of unique internal consistency reliabilities associated with the index scores, it is contended that clinical index score interpretations are probably not justifiable.     

Revisiting the factor structure of the WAIS-R: insights through nested factor modeling

Past attempts to model via confirmatory factor analysis (CFA) the Wechsler Adult Intelligence Scale-Revised (WAIS-R) intersubtest covariation have used an oblique factor or a higher order modeling approach. The attempts have failed to yield adequate model fit, based on current CFA recommendations. Using the WAIS-R standardization data, it is demonstrated that the WAIS-R can be better conceptualized as measuring a first-order general factor and three orthogonal group-level factors. The results are discussed in relation to Verbal and Performance Intelligence scoring and failed attempts to find relationships between VIQ/PIQ difference scores and external criteria. Because Arithmetic and Digit Span did not share any variance with the other VIQ subtests, independent of General Intelligence, clinicians should reconsider interpreting a VIQ score that includes information from Arithmetic and Digit Span in nonclinical populations. Researchers are encouraged to model intelligence factors as nested factor models, considering their superior model fit, and the increased clarity in the interpretations of relationships between IQ indices and criteria.     

Partial Confirmatory Factor Analysis: Described and Illustrated on the NEO–PI–R

Short forms of the MMPI have been criticized due to their inability to adequately reproduce the profiles of the full length version of the MMPI Oftentimes these short forms are used with subject populations dissimilar to the population upon which the short form was originally standardized. This study evaluates the effect of using local norms with one of these short forms (the FAM) upon the concordance rates of profile code-types with the original full-length MMPI profile. Single point, first 2 high-point and first 3 high-point code-types were found to have higher concordance rates when using local norms. Use of local norms for short MMPI forms may compensate, in part, for information lost in the shortening.     

A Confirmatory Factor Analytic Investigation of the TAS–20: Corroboration of a Five-Factor Model and Suggestions for Improvement

Two studies conducted around 1950 provided aggregate data on college students' attribution of characteristics to men or women (sex-role stereotype). Seeman (1950) provided data for three attributes clearly sex-role identified. Fernberger (1948) used a “story” with 16 blank spaces for response of “men” or “women” to assess sex-role stereotypes. Replications of these studies were conducted in undergraduate psychology classes during the 1970–71 school year to assess changes in sex-role stereotypes and in personal preferences. Results for stereotypes indicated either no change for the Seeman data or even more polarized stereotypes for the Fernberger data. No evidence for role convergence was found for stereotypes. Ss personal preferences were markedly discrepant from their stereotypic responses, as the literature would predict.     

Apathy and Depression as Predictors of Activities of Daily Living Following Stroke and Traumatic Brain Injuries in Adults: A Meta-Analysis

Neuropsychology Review - Apathy and depression are common sequelae of acquired brain injury (ABI). Apathy is a syndrome characterized by diminished motivation and purposeful behaviours. Depression...     

Correction to: Apathy and Depression as Predictors of Activities of Daily Living Following Stroke and Traumatic Brain Injuries in Adults: a Meta‑Analysis

Neuropsychology Review - A correction to this paper has been published: https://doi.org/10.1007/s11065-021-09509-0     

Self-reported emotional intelligence and life satisfaction: Testing incremental predictive validity hypotheses via structural equation modeling (SEM) in a small sample

In a previous investigation, Palmer, Donaldson, and Stough (2002) examined the incremental predictive validity of the subscales from the TMMS and TAS-20 in predicting life satisfaction. To this effect, Palmer et al. (2002) used multiple regression and reported that only the Clarity (β = .20) subscale from the TMMS was uniquely related to SWLS. In this investigation, structural equation modeling was used for the purposes of modeling a general EI factor as a potential incrementally predictive predictor of life satisfaction. The results demonstrated that a general EI factor was associated with SWLS at β = .61 and that this effect was only partially mediated by PA and NA, such that the validity coefficient was reduced to β = .49. The results are discussed in light of the advantages of using structural equation modeling, even in cases where the sample size may not be considered particularly large (i.e., N = 100).     

Exceptional intelligence and easygoingness may hurt your prospects: Threshold effects for rated mate characteristics

Prospective mate characteristics such as kindness, intelligence, easygoingness, and physical attraction are ranked consistently highly by both men and women. However, rank measurement does not allow for determinations of what level of a mate characteristic is rated most desirable. Based on a more informative percentile scale measurement approach, it was reported recently that mean desirability ratings of IQ in a prospective partner peaked at the 90th percentile, with a statistically significant reduction from the 90th to the 99th percentiles. The purpose of this investigation was to replicate the recently reported non‐linear desirability effect associated with IQ, in addition to the evaluation of three other valued mate characteristics: easygoing, kindness, and physical attraction. Based on a sample of 214 young adults, it was found that all four mate characteristics peaked at the 90th percentile. However, the IQ and easygoing mean desirability ratings evidenced statistically significant mean reductions across the 90th to the 99th percentiles, whereas kindness and physical attraction did not. Finally, the objectively and subjectively assessed intelligence of the participants was not found to be associated with the participants’ desirability ratings of IQ. We interpreted the results to be consistent with a broadly conceptualized threshold hypothesis, which states that the perceived benefits of valued mate characteristics may not extend beyond a certain point. However, mate characteristics such as intelligence and easygoing become somewhat less attractive at very elevated levels, at least based on preference ratings, for reasons that may be biological and/or psycho‐social in nature.     

Evaluating the MSCEIT V2.0 via CFA: comment on Mayer et al. (2003)

This investigation uncovered several substantial errors in the confirmatory factor analysis results reported by J. D. Mayer, P. Salovey, D. R. Caruso, and G. Sitarenios (see record 2003-02341-015). Specifically, the values associated with the close-fit indices (normed fit index, Tucker-Lewis Index, and root-mean-square error of approximation) are inaccurate. A reanalysis of the Mayer et al. subscale intercorrelation matrix provided accurate values of the close-fit indices, which resulted in different evaluations of the models tested by J. D. Mayer et al. Contrary to J. D. Mayer et al., the 1-factor model and the 2-factor model did not provide good fit. Although the 4-factor model was still considered good fitting, the non-constrained 4-factor model yielded a non-positive definite matrix, which was interpreted to be due to the fact that two of the branch-level factors (Perceiving and Facilitating) were collinear, suggesting that a model with 4 factors was implausible.