《Transportation Research Part F: Traffic Psychology and Behaviour》2020

The Multidimensional Driving Style Inventory (MDSI) is the most comprehensive measure of typical driving behavior to date and has been frequently used to compare driving styles across different groups of drivers, particularly between gender- and age-related groups. However, the factor structure of MDSI has not been clearly established and its measurement invariance has not been demonstrated. The goal of the present study was to examine the internal structure and measurement invariance of the MDSI across gender and age. A sample of 1277 drivers from Argentina responded to the Argentinian version of the MDSI. Exploratory structural equation modeling (ESEM) was used to test the factor structure and measurement invariance across females (n = 602) and males (n = 675), and across young (18–29, n = 558), adult (30–49, n = 395) and older (50 and older, n = 317) drivers. The results showed that a 36-item six-factor ESEM model represented by risky, angry, dissociative, anxious, distress-reduction and careful and patient driving styles was the best model based on fit indices and interpretability. Configural, weak and strong invariance of the six-factor ESEM model across gender and age was also supported. The MDSI in its Argentinian version is equivalent across gender and age, supporting the validity of previous research findings examining gender and age differences in driving styles. Future studies should examine the measurement invariance of the MDSI across other relevant driving-related variables.  相似文献   

    

Herbert W. Marsh  Jiesi Guo  Theresa Dicke  Philip D. Parker  Rhonda G. Craven 《Multivariate behavioral research》2020,55(1):102-119

Abstract

CFAs of multidimensional constructs often fail to meet standards of good measurement (e.g., goodness-of-fit, measurement invariance, and well-differentiated factors). Exploratory structural equation modeling (ESEM) represents a compromise between exploratory factor analysis’ (EFA) flexibility, and CFA/SEM’s rigor and parsimony, but lacks parsimony (particularly in large models) and might confound constructs that need to be kept separate. In Set-ESEM, two or more a priori sets of constructs are modeled within a single model such that cross-loadings are permissible within the same set of factors (as in Full-ESEM) but are constrained to be zero for factors in different sets (as in CFA). The different sets can reflect the same set of constructs on multiple occasions, and/or different constructs measured within the same wave. Hence, Set-ESEM that represents a middle-ground between the flexibility of traditional-ESEM (hereafter referred to as Full-ESEM) and the rigor and parsimony of CFA/SEM. Thus, the purposes of this article are to provide an overview tutorial on Set-ESEM, juxtapose it with Full-ESEM, and to illustrate its application with simulated data and diverse “real” data applications with accessible, heuristic explanations of best practice.  相似文献   

    

Minjeong Jeon  Paul De Boeck 《The British journal of mathematical and statistical psychology》2019,72(3):517-537

In recent years, item response tree (IRTree) approaches have received increasing attention in the response style literature for their ability to partial out response style latent variables as well as associated item parameters. When an IRTree approach is adopted to measure extreme response styles, directional and content invariance could be assumed at the latent variable and item parameter levels. In this study, we propose to evaluate the empirical validity of these invariance assumptions by employing a general IRTree model with relaxed invariance assumptions. This would allow us to examine extreme response biases, beyond extreme response styles. With three empirical applications of the proposed evaluation, we find that relaxing some of the invariance assumptions improves the model fit, which suggests that not all assumed invariances are empirically supported. Specifically, at the latent variable level, we find reasonable evidence for directional invariance but mixed evidence for content invariance, although we also find that estimated correlations between content-specific extreme response latent variables are high, hinting at the potential presence of a general extreme response tendency. At the item parameter level, we find no directional or content invariance for thresholds and no content invariance for slopes. We discuss how the variant item parameter estimates obtained from a general IRTree model can offer useful insight to help us understand response bias related to extreme responding measured within the IRTree framework.  相似文献   

    

Dexin Shi  Hairong Song  Christine DiStefano  Alberto Maydeu-Olivares  Heather L. McDaniel 《Multivariate behavioral research》2019,54(2):224-245

In this study, we introduce an interval estimation approach based on Bayesian structural equation modeling to evaluate factorial invariance. For each tested parameter, the size of noninvariance with an uncertainty interval (i.e. highest density interval [HDI]) is assessed via Bayesian parameter estimation. By comparing the most credible values (i.e. 95% HDI) with a region of practical equivalence (ROPE), the Bayesian approach allows researchers to (1) support the null hypothesis of practical invariance, and (2) examine the practical importance of the noninvariant parameter. Compared to the traditional likelihood ratio test, simulation results suggested that the proposed Bayesian approach could offer additional insight into evaluating factorial invariance, thus, leading to more informative conclusions. We provide an empirical example to demonstrate the procedures necessary to implement the proposed method in applied research. The importance of and influences on the choice of an appropriate ROPE are discussed.  相似文献   

    

《Journal of research in personality》2019

Positive factors are increasingly recognized in the field of psychology, however, few studies have investigated the longitudinal measurement invariance (LMI) and reciprocal associations of positive core constructs, such as happiness, life satisfaction and positive mental health. This study evaluated the LMI of these constructs over four years in a Chinese Student Sample (n = 4400) using the Subjective Happiness Scale (SHS), the Satisfaction with Life Scale (SWLS) and the Positive Mental Health Scale (PMH-scale). The longitudinal reciprocal associations of the constructs were examined within a random intercept cross-lagged panel model (RI-CLPM). The results show that the SHS, SWLS and PMH-scale are measurement invariant over time and that the constructs are positively inter-related, but show different reciprocal patterns over time.  相似文献   

    

Emma Threadgold  John E. Marsh  Neil McLatchie  Linden J. Ball 《Applied cognitive psychology》2019,33(5):873-888

Background music has been claimed to enhance people's creativity. In three experiments, we investigated the impact of background music on performance of Compound Remote Associate Tasks (CRATs), which are widely thought to tap creativity. Background music with foreign (unfamiliar) lyrics (Experiment 1), instrumental music without lyrics (Experiment 2), and music with familiar lyrics (Experiment 3) all significantly impaired CRAT performance in comparison with quiet background conditions. Furthermore, Experiment 3 demonstrated that background music impaired CRAT performance regardless of whether the music induced a positive mood or whether participants typically studied in the presence of music. The findings challenge the view that background music enhances creativity and are discussed in terms of an auditory distraction account (interference‐by‐process) and the processing disfluency account.  相似文献   

    

《Journal of applied research in memory and cognition》2019,8(3):288-292

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Cristina Cabras  Giorgia Loi  Cristina Sechi 《Mental health, religion & culture》2017,20(9):888-897

ABSTRACT

The current study investigated the factor structure, factorial invariance, and reliability of the Italian version of the Forgiveness Likelihood Scale (FLS) among 604 adolescents in Italy (217 boys and 387 girls) with a mean age of 16.6 years (SD?=?1.3). The FLS is a 10-item Likert-type scale created to assess the predisposition to forgive across situations. The sample was randomly split into two subsamples to investigate the FLS structure. Results indicated a unidimensional structure, and factorial invariance was found for the factor solution across gender. Scale reliability was adequate, revealing appropriate internal consistency (α?=?.75). Evidence for convergent validity was also found. The results suggested that the Italian version of the FLS can be reliably used to measure forgiveness among Italian adolescents. Practice implications and future research directions are discussed.  相似文献   

    

Philip C. Mefoh  Lawrence E. Ugwu  Agnes E. Okafor 《Journal of Psychology in Africa》2017,27(4):325-329

This study aimed to evaluate the latent structure of the Prospective and Retrospective Memory Questionnaire (PRMQ) and to estimate the reliability and validity of scores from the measure in a Nigerian adult population (N = 758; age range = 18 - 63 years; females = 52.24%). Respondents also completed the Cognitive Failures Questionnaire (CFQ). The data were analysed utilising confirmatory factor analysis (CFA). The results suggest the PRMQ to have a tripartite structure characterised by the following features: general memory, plus eight prospective and eight retrospective memory items. Scores from the PRMQ had evidence of convergent validity with the CFQ. The reliability of scores from the PRMQ was of acceptable magnitude for the research purposes investigated in the study.  相似文献   

    

E. L. Hamaker  N. K. Schuurman  E. A. O. Zijlmans 《Multivariate behavioral research》2017,52(1):47-60

In this article, we show that the underlying dimensions obtained when factor analyzing cross-sectional data actually form a mix of within-person state dimensions and between-person trait dimensions. We propose a factor analytical model that distinguishes between four independent sources of variance: common trait, unique trait, common state, and unique state. We show that by testing whether there is weak factorial invariance across the trait and state factor structures, we can tackle the fundamental question first raised by Cattell; that is, are within-person state dimensions qualitatively the same as between-person trait dimensions? Furthermore, we discuss how this model is related to other trait-state factor models, and we illustrate its use with two empirical data sets. We end by discussing the implications for cross-sectional factor analysis and suggest potential future developments.  相似文献