Christina T. Saunders  Jeffrey D. Blume 《Multivariate behavioral research》2019,54(4):555-577

We introduce and extend the classical regression framework for conducting mediation analysis from the fit of only one model. Using the essential mediation components (EMCs) allows us to estimate causal mediation effects and their analytical variance. This single-equation approach reduces computation time and permits the use of a rich suite of regression tools that are not easily implemented on a system of three equations. Additionally, we extend this framework to non-nested mediation systems, provide a joint measure of mediation for complex mediation hypotheses, propose new visualizations for mediation effects, and explain why estimates of the total effect may differ depending on the approach used. Using data from social science studies, we also provide extensive illustrations of the usefulness of this framework and its advantages over traditional approaches to mediation analysis. The example data are freely available for download online and we include the R code necessary to reproduce our results.  相似文献   

    

Zachary F. Fisher  Kenneth A. Bollen  Kathleen M. Gates 《Multivariate behavioral research》2019,54(2):246-263

Structural equation modeling (SEM) is an increasingly popular method for examining multivariate time series data. As in cross-sectional data analysis, structural misspecification of time series models is inevitable, and further complicated by the fact that errors occur in both the time series and measurement components of the model. In this article, we introduce a new limited information estimator and local fit diagnostic for dynamic factor models within the SEM framework. We demonstrate the implementation of this estimator and examine its performance under both correct and incorrect model specifications via a small simulation study. The estimates from this estimator are compared to those from the most common system-wide estimators and are found to be more robust to the structural misspecifications considered.  相似文献   

    

Kathryn S. Macia  Robert E. Wickham 《Multivariate behavioral research》2019,54(1):113-145

Mixture analysis of count data has become increasingly popular among researchers of substance use, behavioral analysis, and program evaluation. However, this increase in popularity seems to have occurred along with adoption of some conventions in model specification based on arbitrary heuristics that may impact the validity of results. Findings from a systematic review of recent drug and alcohol publications suggested count variables are often dichotomized or misspecified as continuous normal indicators in mixture analysis. Prior research suggests that misspecifying skewed distributions of continuous indicators in mixture analysis introduces bias, though the consequences of this practice when applied to count indicators has not been studied. The present work describes results from a simulation study examining bias in mixture recovery when count indicators are dichotomized (median split; presence vs. absence), ordinalized, or the distribution is misspecified (continuous normal; incorrect count distribution). All distributional misspecifications and methods of categorizing resulted in greater bias in parameter estimates and recovery of class membership relative to specifying the true distribution, though dichotomization appeared to improve class enumeration accuracy relative to all other specifications. Overall, results demonstrate the importance of accurately modeling count indicators in mixture analysis, as misspecification and categorizing data can distort study outcomes.  相似文献   

    

《Psychologie Fran?aise》2019,64(4):315-330

The aim of this study was to propose a French Validation of the Competitive Aggressiveness and Anger Scale (FVCAAS). The instrument was developed from the original version, which is composed of two subscales (six items by subscales) assessing aggressiveness and anger in competitive athletes (CAAS, Maxwell & Moores, 2007). Four studies have been conducted with 1428 competitors. In the first study, the exploratory factor analysis extracted the two-factor structure from the original version, both with good internal consistency. The second study confirmed that the two-factor structure of the instrument was consistent with the original version and showed its partial invariance across genders. The third study demonstrated the temporal stability of the FVCAAS. In the fourth study, both concurrent and discriminant validities were confirmed, supporting the validity and reliability of the FVCAAS. The contributions of this study and limitations are discussed, together with perspectives for future studies of aggressiveness in competitive sports.  相似文献   

    

Charlotte R. Pennington  Damien Litchfield  Neil McLatchie  Derek Heim 《European journal of social psychology》2019,49(4):717-734

Underpinned by the findings of Jamieson and Harkins (2007; Experiment 3), the current study pits the mere effort motivational account of stereotype threat against a working memory interference account. In Experiment 1, females were primed with a negative self- or group stereotype pertaining to their visuospatial ability and completed an anti-saccade eye-tracking task. In Experiment 2 they were primed with a negative or positive group stereotype and completed an anti-saccade and mental arithmetic task. Findings indicate that stereotype threat did not significantly impair women's inhibitory control (Experiments 1 and 2) or mathematical performance (Experiment 2), with Bayesian analyses providing support for the null hypothesis. These findings are discussed in relation to potential moderating factors of stereotype threat, such as task difficulty and stereotype endorsement, as well as the possibility that effect sizes reported in the stereotype threat literature are inflated due to publication bias.  相似文献   

    

Leslie D. Williams  J. Lawrence Aber   《American journal of community psychology》2019,63(1-2):3-16

HIV/AIDS‐related (HAR) stigma is still a prevalent problem in Sub‐Saharan Africa, and has been found to be related to mental health of HIV‐positive individuals. However, no studies in the Sub‐Saharan African context have yet examined the relationship between HAR stigma and mental health among HIV‐negative, HIV‐affected adults and families; nor have any studies in this context yet examined stigma as an ecological construct predicting mental health outcomes through supra‐individual (setting level) and individual levels of influence. Multilevel modeling was used to examine multilevel, ecological relationships between HAR stigma and mental health among child and caregiver pairs from a systematic, community‐representative sample of 508 HIV‐affected households nested within 24 communities in KwaZulu‐Natal, South Africa. Two distinct dimensions of HAR stigma were measured: individual stigmatizing attitudes, and perceptions of community normative stigma. Findings suggest that individual‐level HAR stigma significantly predicts individual mental health (depression and anxiety) among HIV‐affected adults; and that community‐level HAR stigma significantly predicts both individual‐level mental health outcomes (anxiety) among HIV‐affected adults, and mental health outcomes (PTSD and externalizing behavior scores) among HIV‐affected children. Differentiated patterns of relationships were found using the two different stigma measures. These findings of unique relationships identified when utilizing two conceptually distinct stigma measures, at two levels of analysis (individual and community) suggest that HAR stigma in this context should be conceptualized as a multilevel, multidimensional construct. These findings have important implications both for mental health interventions and for interventions to reduce HAR stigma in this context.  相似文献   

Coercive control during the transition to parenthood: An overlooked factor in intimate partner violence and family wellbeing?     

Lisa H. Gou  Kari N. Duerksen  Erica M. Woodin 《Aggressive behavior》2019,45(2):139-150

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Eric Rassin 《Journal of Investigative Psychology & Offender Profiling》2018,15(2):227-233

In order to prevent tunnel vision, and ultimately miscarriages of justice, police, prosecutors, and judges must remain open to alternative scenarios in which the suspect is in fact innocent. However, it is not evident from the literature that people are sufficiently aware of how alternative scenarios should be employed in the decision‐making process. In the present research, participants read a case vignette and formed an impression of the suspect's guilt. Some participants were made familiar with an alternative scenario. Others were not only presented with an alternative scenario but were also instructed to score (with pen and paper) the extent to which every piece of evidence fitted in the primary and the alternative scenario. Findings suggest that this pen‐and‐paper task helped to reduce tunnel vision.  相似文献   

    

Patrick O'Keefe  Joseph Lee Rodgers 《Multivariate behavioral research》2017,52(5):630-647

This paper introduces an extension of cluster mean centering (also called group mean centering) for multilevel models, which we call “double decomposition (DD).” This centering method separates between-level variance, as in cluster mean centering, but also decomposes within-level variance of the same variable. This process retains the benefits of cluster mean centering but allows for context variables derived from lower level variables, other than the cluster mean, to be incorporated into the model. A brief simulation study is presented, demonstrating the potential advantage (or even necessity) for DD in certain circumstances. Several applications to multilevel analysis are discussed. Finally, an empirical demonstration examining the Flynn effect (Flynn, 1987 Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171. https://doi.org/10.1037/h0090408.[Crossref], [Web of Science ®] , [Google Scholar]), our motivating example, is presented. The use of DD in the analysis provides a novel method to narrow the field of plausible causal hypotheses regarding the Flynn effect, in line with suggestions by a number of researchers (Mingroni, 2014 Mingroni, M. A. (2014). Future efforts in Flynn effect research: Balancing reductionism with holism. Journal of Intelligence, 2(4), 122. https://doi.org/10.3390/jintelligence2040122.[Crossref] , [Google Scholar]; Rodgers, 2015 Rodgers, J. L. (2015). Methodological issues associated with studying the Flynn effect: Exploratory and confirmatory efforts in the past, present, and future. Journal of Intelligence, 3(4), 111. https://doi.org/10.3390/jintelligence3040111. [Crossref] , [Google Scholar]).  相似文献   

    

Kuan-Yu Jin  Wen-Chung Wang 《Multivariate behavioral research》2017,52(3):391-402

Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity. However, DRF may occur when the group membership is unknown (latent) and thus has to be estimated from data. To solve this problem, in this study, we developed a new mixture facets model to assess DRF when the group membership is latent and we provided two empirical examples to demonstrate its applications. A series of simulations were also conducted to evaluate the performance of the new model in the DRF assessment in the Bayesian framework. Results supported the use of the mixture facets model because all parameters were recovered fairly well, and the more data there were, the better the parameter recovery.  相似文献