Normative data for Raven's Coloured Progressive Matrices scale in Yemen

Results are reported for a standardization sample of 986 6- to 1-yr.-olds for the Coloured Progressive Matrices in Yemen. Younger children performed better than older children relative to British norms, and there was no significant sex difference in means or variability. In relation to a British IQ of 100 (SD=15), the sample obtained an average IQ of approximately 81.     

An item and factor analysis of the FSS(III)

In view of the apparent need for an anxiety scale specifically for South African Indians, this study examines the characteristics of one such group on a stimulus-oriented measure of anxiety. The 73-item Fear Survey Schedule III (FSS) was administered to a representative sample of Natal Indians.Results suggest that this scale has good construct validity and internal consistency for the Ss. Item analyses indicate that stimuli associated with ‘tissue damage’ or ‘interpersonal’ situations are most anxiety-provoking and also correlate highest with test score remainders. A factor analysis reveals three dimensions of situational anxiety for South African Indians: ‘physical danger’, ‘interpersonal situations’ and ‘animals’. These findings support the contention that situational trait anxiety is a multi-dimensional phenomenon.     

Jensen Effects and African/Coloured/Indian/White differences on Raven's Standard Progressive Matrices in South Africa

A test is made to determine whether various ethnic group differences on tests of cognitive performance in South Africa are like the Black/White differences in the United States in being positively associated with a tests' g loadings, where g is the general factor of intelligence. A non-parametric re-analysis is made of data from 1056 White, 1063 Indian, 778 mixed-race “Coloured,” and 1093 Black 14 year olds on the Raven's Standard Progressive Matrices Test in South Africa, given without time limits by Owen (1992) [Personality and Individual Differences, 13, 149]. The new analyses showed that the more highly correlated an item was with g, the more it predicted the White/Indian/Coloured/African differences on the test (Spearman's rhos from 0.35 to 0.85; all Ps<0.01). The effects remained regardless of which group g was extracted from. Understanding group differences around the world requires new research on the nature and nurture of g.     

瑞文推理测验上的性别差异

瑞文推理测验上是否存在性别差异？与较早期的研究结果不同, 较近的一系列研究发现在瑞文推理测验上存在性别差异, 且性别差异具有发展性。当前可以解释该性别差异的观点主要有两种, 其一是污染观, 即认为瑞文推理测验中发现的性别差异实质上是由于测验中其他成分的“污染”所致, 而在它所主要代表的g因素的发展中并不存在性别差异; 其二, 较新的研究提示, “污染”可能存在, 但在g因素上仍然具有性别差异, 这种差异是由生理上的原因造成的。研究者由此提出了智力性别差异的发展理论。本文主要从儿童青少年发展的角度回顾了有关瑞文推理测验性别差异的研究, 综述并分析了关于性别差异研究结果不一致的可能原因。     

An item factor analysis and item response theory-based revision of the Everyday Discrimination Scale

The Everyday Discrimination Scale (EDS), a widely used measure of daily perceived discrimination, is purported to be unidimensional, to function well among African Americans, and to have adequate construct validity. Two separate studies and data sources were used to examine and cross-validate the psychometric properties of the EDS. In Study 1, an exploratory factor analysis was conducted on a sample of African American law students (N = 589), providing strong evidence of local dependence, or nuisance multidimensionality within the EDS. In Study 2, a separate nationally representative community sample (N = 3,527) was used to model the identified local dependence in an item factor analysis (i.e., bifactor model). Next, item response theory (IRT) calibrations were conducted to obtain item parameters. A five-item, revised-EDS was then tested for gender differential item functioning (in an IRT framework). Based on these analyses, a summed score to IRT-scaled score translation table is provided for the revised-EDS. Our results indicate that the revised-EDS is unidimensional, with minimal differential item functioning, and retains predictive validity consistent with the original scale.     

An item response theory analysis of the narcissistic personality inventory

This research uses item response theory methods to evaluate the Narcissistic Personality Inventory (NPI; Raskin & Terry, 1988). Analyses using the 2-parameter logistic model were conducted on the total score and the Corry, Merritt, Mrug, and Pamp (2008) and Ackerman et?al. (2011) subscales for the NPI. In addition to offering precise information about the psychometric properties of the NPI item pool, these analyses generated insights that can be used to develop new measures of the personality constructs embedded within this frequently used inventory.     

An autoregressive growth model for longitudinal item analysis

A first-order autoregressive growth model is proposed for longitudinal binary item analysis where responses to the same items are conditionally dependent across time given the latent traits. Specifically, the item response probability for a given item at a given time depends on the latent trait as well as the response to the same item at the previous time, or the lagged response. An initial conditions problem arises because there is no lagged response at the initial time period. We handle this problem by adapting solutions proposed for dynamic models in panel data econometrics. Asymptotic and finite sample power for the autoregressive parameters are investigated. The consequences of ignoring local dependence and the initial conditions problem are also examined for data simulated from a first-order autoregressive growth model. The proposed methods are applied to longitudinal data on Korean students’ self-esteem.     

Validation of the trust relationship audit (TRA): An item parcelling approach

This study sought to apply an item parcelling approach to confirm the factor structure of trust in the direct supervisor as measured by the trust relationship audit (TRA). The researchers analysed an existing data set on the TRA from 9 060 South African employees. For the analysis, the researchers utilised structural equation modelling, using item parcelling to confirm the factor structure. The results confirm that, in essence, the large sample structural model replicates the original small sample model, consisting of separate personality and managerial practices factors as antecedents of trust in supervisors. Two items measuring personality traits loaded differently in the small and the combined sample. The results suggest item parcelling to be a value-add in measure validation when data mining.     

The impact of social desirability bias on the EPQ-R item scores: An item response theory analysis

This study assessed the potential influence of social desirability (SD) response bias on the E, N, and P EPQ-R scores at the level of individual items. The study was based on a bidimensional IRT model which was fitted in a large sample. This allowed a detailed analysis of both the internal validities of the items and the content of the items which were most affected by SD. The E items were least affected by SD, but the direction of the impact depended on the type of item. As expected, in the N and P cases the relations obtained were consistently negative, but the strength of the SD impact also depended considerably on the type of item. The P scale was the most problematic in terms of convergent and discriminant validity.     

An item response theory analysis of the Problem Gambling Severity Index

Increases in the availability of gambling heighten the need for a short screening measure of problem gambling. The Problem Gambling Severity Index (PGSI) is a brief measure that allows for the assessment of characteristics of gambling behavior and severity and its consequences. The authors evaluate the psychometric properties of the PGSI using item response theory methods in a representative sample of the urban adult population in South Africa (N = 3,000). The PGSI items were evaluated for differential item functioning (DIF) due to language translation. DIF was not detected. The PGSI was found to be unidimensional, and use of the nominal categories model provided additional information at higher values of the underlying construct relative to a simpler binary model. This study contributes to the growing literature supporting the PGSI as the screen of choice for assessing gambling problems in the general population.     

An extension of item analysis procedures to the case of polychotomous response

Classical item analysis procedures were developed for dichotomously scored items and do not apply to items allowing multiple correct responses. Maximum likelihood procedures analogous to those employed in polychotomous bio-assay are presented which yield estimates of the sets of parameters for items having multiple nonordered responses. Expressions for the estimates of the asymptotic variances of the item parameters and on overall chi-square goodness of fit test are also provided.