A comparative assessment of the factor structures and psychometric properties of the GHQ-12 and the GHQ-20 based on data from a Finnish population-based sample

The General Health Questionnaire (GHQ) is a self-report questionnaire designed to identify psychological distress. Psychometric properties of two versions of GHQ-12 and GHQ-20 were assessed in a large population-based sample of Finnish twins, ages 22 to 27 (n= 4580). Participants were randomized into two subgroups, namely Twin1 (n= 2294) and Twin2 (n= 2286). The GHQ-12 data were assessed using Confirmatory Factor Analysis (CFA). The factor structure of the GHQ-20 was first assessed with Exploratory Factor Analysis (EFA) in the Twin1 dataset, and the results obtained were then subjected to CFA in Twin1 and Twin2 datasets. The CFA of the GHQ-12 indicated that the best fit and the simplest solution were provided by the three-factor solution in both subpopulations. Analyses of the GHQ-20 suggested that the four-factor structure was superior to the three-factor model. This result is also theoretically justifiable. Compared to the 12-item version, GHQ-20 provides additional fourth factor of anhedonia, suggesting some discriminative power.     

《大学生主观幸福感量表》的编制

根据国内外关于主观幸福感的文献和已有的研究经验,编制了大学生主观幸福感问卷。以往大多数研究认为,主观幸福感由生活满意度和情绪体验两个基本成分构成,本研究认为主观幸福感还应包括社会性行为和人际关系等成分。对376名大学生进行初测,通过探索性因素分析,表明大学生主观幸福感由自我满意、家庭满意、消极情绪、积极情绪、精力、生活满意、社会性行为和人际关系8个维度构成,共41个项目。对511名大学生施测41个项目的主观幸福感问卷,进行验证性因素分析,结果表明,上述结构是合理的。     

大学生学习动机问卷的初步编制

本研究结合开放式问卷所获资料,在文献研究的基础上建构了大学生学习动机的维度,编制了大学生学习动机问卷,并将之施测于427名大学生。问卷的因素分析结果表明：（1）大学生学习动机归并为求知兴趣、能力追求、声誉获取和利他取向四个维度;（2）自编大学生学习动机问卷的信度和效度指标均达到了心理测量学要求。     

Assessing At‐Risk Youth Using the Reynolds Adolescent Adjustment Screening Inventory With a Latino Population

Factor analyses were conducted on scores from the Reynolds Adolescent Adjustment Screening Inventory (RAASI; Reynolds, 2001 ) representing at‐risk Latino youth. The 4‐factor model of the RAASI did not exhibit a good fit. However, evidence of generalizability for Latino youth was noted.     

Misconstruing methods and meaning in the General Factor of Personality

Research has suggested that a General Factor of Personality (GFP) might represent a real and meaningful higher‐order factor in the personality hierarchy. However, there are psychometric shortcomings in many of the studies used to support this argument, as well as convincing empirical evidence for alternative explanations of the GFP as methodological rather than meaningful. The current article re‐examines the research supporting a substantive GFP by considering and evaluating the evidence presented in a recent volume (Just, 2011). It is concluded that covariation among first‐order personality factors is more likely a statistical or methodological artefact than a theoretically meaningful higher‐order construct.     

Latent variables should remain as such: Evidence from a Monte Carlo study

Use of subject scores as manifest variables to assess the relationship between latent variables produces attenuated estimates. This has been demonstrated for raw scores from classical test theory (CTT) and factor scores derived from factor analysis. Conclusions on scores have not been sufficiently extended to item response theory (IRT) theta estimates, which are still recommended for estimation of relationships between latent variables. This is because IRT estimates appear to have preferable properties compared to CTT, while structural equation modeling (SEM) is often advised as an alternative to scores for estimation of the relationship between latent variables. The present research evaluates the consequences of using subject scores as manifest variables in regression models to test the relationship between latent variables. Raw scores and three methods for obtaining theta estimates were used and compared to latent variable SEM modeling. A Monte Carlo study was designed by manipulating sample size, number of items, type of test, and magnitude of the correlation between latent variables. Results show that, despite the advantage of IRT models in other areas, estimates of the relationship between latent variables are always more accurate when SEM models are used. Recommendations are offered for applied researchers.     

A general factor of personality,social desirability,cognitive ability,and the survey of work styles in an employment selection setting

How a general factor of personality (GFP) correlated with employment screening measures in an applied setting was examined. Participants were 540 adult insurance sales job applicants who completed scales from two personality measures, the five scales from the Survey of Work Styles (SWS), an intelligence measure, and a social desirability scale. A joint factor analysis of the personality questionnaires produced four first order factors. A single GFP was also extracted. Strong correlations were found between some of the personality factors and the SWS scales. Strong significant correlations were found between the GFP and three of the four personality factors with social desirability. Neither the GFP nor the personality factors correlated significantly with cognitive abilities.     

The personality differentiation by intelligence hypothesis: A measurement invariance investigation

Stability in the measurement of personality is crucial to its construct and predictive validity. The personality differentiation by intelligence hypothesis suggests that intelligence may be a threat to the measurement of personality. This study builds on existing literature by applying multigroup confirmatory factor analytic measurement invariance techniques to the item-level responses of a commonly used personality inventory. In contrast to recently published findings, our results suggest that the measurement of personality is not equivalent across intelligence levels. Though these results have important implications for the use of personality in research and practice, we maintain that personality measures are still important predictors of key criteria. We discuss future research directions, and hope that the current study highlights the need to increase the sophistication of currently available measurement techniques, and will bring continued examination of the personality differentiation by intelligence hypothesis.