Reliability of the 16PF questionnaire for security guard applicants

The Sixteen Personality Factor Questionnaire (16PF) was administered to a group of security guard applicants to determine its retest reliability after a moderate (9-month) interval. All of the Pearson correlations for specific test scales were lower than the reliabilities reported by the test's authors. These data raise questions as to the usefulness of the 16PF for the prediction of security guard behavior.     

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 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.     

Cross-cultural second order factor structures of the 16PF

Cross-cultural personality research has generated a great amount of data on individual difference patterns in diverse cultures. One of the major instruments used in this research has been Cattell's 16PF. A major question in this research is whether the underlying personality structure is equivalent for different cultures. The present study evaluated the second order factor structure of the 16PF in 101 subjects of European ancestry and 117 subjects of Japanese ancestry. The factor structure for the Japanese was significantly different from that of the caucasian group. The caucasian results did not differ from those reported by Cattell and his associates. The implications of these results for personality theory and for cross-cultural evaluation were briefly discussed.     

Random intercept item factor analysis

The common factor model assumes that the linear coefficients (intercepts and factor loadings) linking the observed variables to the latent factors are fixed coefficients (i.e., common for all participants). When the observed variables are participants' observed responses to stimuli, such as their responses to the items of a questionnaire, the assumption of common linear coefficients may be too restrictive. For instance, this may occur if participants consistently use the response scale idiosyncratically. To account for this phenomenon, the authors partially relax the fixed coefficients assumption by allowing the intercepts in the factor model to change across participants. The model is attractive when m factors are expected on the basis of substantive theory but m + 1 factors are needed in practice to adequately reproduce the data. Also, this model for single-level data can be fitted with conventional software for structural equation modeling. The authors demonstrate the use of this model with an empirical data set on optimism in which they compare it with competing models such as the bifactor and the correlated trait-correlated method minus 1 models.     

Obtaining 16 PF Scores from the MMPI,and MMPI Scores from the 16 PF

Recent statistical analyses of the relation of the MMPI surface traits to the source traits in the 16 P.F. were extended to (a) the calculation of beta weights for estimating MMPI scale scores from the 16 P.F. and (b) deriving the MMPI item composition in terms of 16 P.F. scores from the MMPI, and vice versa. It has been argued from the specific nature of surface and source traits that additional diagnostic insight can be gained from their comparison, a principle which has been designated as depth psychometry.     

Sustaining fantasies and the 16 PF

This study examined the relationships between the Sustaining Fantasy Questionnaire (SFQ) and the 16 PF for 63 college students. The questionnaire is a self-report measure of characteristic fantasies used to reduce negative affect and maintain self-esteem. High scores on the fantasy scales having to do with power and revenge, death and illness, withdrawal and protection, and restitution, and on the scales measuring negative affect and the inability to produce comforting images were all associated with 16 PF indications of psychological distress.     

A Comparison of the Psychometric Properties of the 16PF4 and 16PF5 Among Male Anglican Clergy

Cattell's latest version of the 16PF (16PF5) was completed by a random sample of 580 male Anglican clergy whose names and addresses were provided by the Church Commissioners' payroll. These data demonstrated the robustness and reliability of the new instrument for this specialist population compared to the poor psychometric qualities of the 16PF4 as judged by the same criteria.     

Exploratory factor analysis: its role in item analysis

The special characteristics of items-low reliability, confounds by minor, unwanted covariance, and the likelihood of a general factor-and better understanding of factor analysis means that the default procedure of many statistical packages (Little Jiffy) is no longer adequate for exploratory item factor analysis. It produces too many factors and precludes a general factor even when that means the factors extracted are nonreplicable. More appropriate procedures that reduce these problems are presented, along with how to select the sample, sample size required, and how to select items for scales. Proposed scales can be evaluated by their correlations with the factors; a new procedure for doing so eliminates the biased values produced by correlating them with either total or factor scores. The role of exploratory factor analysis relative to cluster analysis and confirmatory factor analysis is noted.     

Confirmatory factor analysis of the AEQ-A questionnaire in Finland

The Adolescent version of the Alcohol Expectancy Questionnaire (Brown et al., 1980) was administered to a male population sample in Finland (N=195; median age 18.5 years). Three issues were investigated: Did the items of each subscale measure single latent constructs? Was the AEQ-A better described by a single-factor model (e.g., global positive expectancy) or by a null model implying scale independence? Were alcohol expectancies related to drinking habits? Confirmatory factor analyses by PRELIS2 and LISREL8 indicated that single-construct models were appropriate only for the Enhanced sexuality and Increased arousal scales while several items were unrelated to the postulated latent constructs in the other five scales. Adequate fits were obtained for these scales only when unrelated items were removedand/or anlayses were based on nondichotomus scores derived from contentwise homogenous groups of items. Even when revised so that the each scale formally fitted a single latent construct, the resulting latent constructs were not well described by either the single-factor model or the null model. Expected social benefit in terms of the revised Enhanced or impeded social behavior scale was the most significant predictor of drinking frequency while quantity consumed per drinking occasion was significantly related to the Improved cognitive and motor abilities scale only.     

Psychometric properties of the Danish 16PF and EPQ

A Danish translation of the Cattell's 16PF has been used in studies evaluating the effects of prenatal drug exposure. This paper reports a psychometric analysis of the 16PF and Eysenck's EPQ based on a sample of 558 young Danes. Many 16PF scales had unacceptable psychometric properties (as indicated by coefficient alpha and item–total score correlations), but more satisfactory results were obtained with the EPQ N and E scales. A factor analysis of all 16PF and EPQ scales suggested a six factor solution that roughly corresponds to the second-order factor structure obtained by Krug and Johns (1986). It is concluded that the second-order factor structure should be the basis of interpretation of the 16PF in both practical and research contexts.     

A factor analysis and item response theory analysis of an employee honesty test

Although paper and pencil tests of employee honesty are becoming increasingly widespread in industry, a paucity of research exists regarding them. In a recent review of this literature, Sackett and Harris (1984) noted that scant psychometric evidence is available as to their merits or weaknesses. The aim of this paper is to report on the factor and item analysis of one such test. A principal axis solution and item response theory model (1-parameter) were used to examine the data. The factor analysis revealed four readily interpretable factors. With regard to the item analysis, the results indicated that on the whole most of the 40 items showed a reasonable fit to the model. The implications of this research are addressed.     

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.     

On the relationship between item response theory and factor analysis of discretized variables

Equivalence of marginal likelihood of the two-parameter normal ogive model in item response theory (IRT) and factor analysis of dichotomized variables (FA) was formally proved. The basic result on the dichotomous variables was extended to multicategory cases, both ordered and unordered categorical data. Pair comparison data arising from multiple-judgment sampling were discussed as a special case of the unordered categorical data. A taxonomy of data for the IRT and FA models was also attempted.The work reported in this paper has been supported by Grant A6394 to the first author from the Natural Sciences and Engineering Research Council of Canada.     

Comparison of MCMI-II and 16PF Validity Scales

We administered the Millon Clinical Multiaxial Inventory-II (MCMI-II; Millon, 1987) and the Sixteen Personality Factors Inventory (16PF; Cattell, Eber, & Tatsuoka, 1970) to 131 outpatients in marital therapy and tested the correlation between the validity scales of the two instruments. The results indicated that MCMI-II Disclosure and Debasement scales were positively correlated with the 16PF Fake-Bad scale and negatively correlated with the 16PF Fake-Good scale. The MCMI-II Desirability scale was significantly correlated with the 16PF Fake-Good scale.     

On local influence analysis of full information item factor models

The full information item factor (FIIF) model is very useful for analyzing relations of dichotomous variables. In this article, we present a feasible procedure to assess local influence of minor perturbations for identifying influence aspects of the FIIF model. The development is based on a Q-displacement function which is closely related with the Monte Carlo EM algorithm in the ML estimation. In the E-step of this algorithm, the conditional expectations are approximated by sample means of observations simulated by the Gibbs sampler from the appropriate conditional distributions. It turns out that these observations can be utilized for computing the building blocks of the proposed diagnostic measures. The diagnoses are based on the conformal normal curvature that can be computed easily. A number of interesting perturbation schemes are considered. The methodology is illustrated with two real examples.The research is fully supported by a grant (CUHK 4356/00H) from the Research Grant Council of the Hong Kong Special Administration Region. The authors are thankful to the Editor, Associate Editor, anonymous reviewers, and W.Y. Poon for valuable comments for improving the paper, and to ICPSR and the relevant founding agency for allowing us to use of their data. The assistance of Michael Leung and Esther Tam is gratefully acknowledged.