manymome: An R package for computing the indirect effects, conditional effects, and conditional indirect effects, standardized or unstandardized, and their bootstrap confidence intervals, in many (though not all) models.

Mediation, moderation, and moderated mediation are common in behavioral research models. Several tools are available for estimating indirect effects, conditional effects, and conditional indirect effects and forming their confidence intervals. However, there are no simple-to-use tools that can appropriately form the bootstrapping confidence interval for standardized conditional indirect effects.

Monte Carlo confidence intervals for the indirect effect with missing data.

Missing data is a common occurrence in mediation analysis. As a result, the methods used to construct confidence intervals around the indirect effect should consider missing data. Previous research has demonstrated that, for the indirect effect in data with complete cases, the Monte Carlo method performs as well as nonparametric bootstrap confidence intervals (see MacKinnon et al.

betaDelta and betaSandwich: Confidence Intervals for Standardized Regression Coefficients in R.

The multivariate delta method was used by Yuan and Chan to estimate standard errors and confidence intervals for standardized regression coefficients. Jones and Waller extended the earlier work to situations where data are nonnormal by utilizing Browne's asymptotic distribution-free (ADF) theory. Furthermore, Dudgeon developed standard errors and confidence intervals, employing heteroskedasticity-consistent (HC) estimators, that are robust to nonnormality with better performance in smaller sample sizes compared to Jones and Waller's ADF technique.

FINDOUT: Using Either SPSS Commands or Graphical User Interface to Identify Influential Cases in Structural Equation Modeling in AMOS.

The results in a structural equation modeling (SEM) analysis can be influenced by just a few observations, called . Tools have been developed for users of R to identify them. However, similar tools are not available for AMOS, which is also a popular SEM software package.

Improving an old way to measure moderation effect in standardized units.

Moderation effects in multiple regression, tested usually by the inclusion of a product term, are frequently investigated in health psychology. However, several issues in presenting the moderation effects in standardized units and their associated confidence intervals are commonly observed. While an old method had been proposed to standardize variables in moderated regression before fitting a moderated regression model, this method was rarely used due to inconvenience and even when used, the confidence intervals derived were biased.

DIY bootstrapping: Getting the nonparametric bootstrap confidence interval in SPSS for any statistics or function of statistics (when this bootstrapping is appropriate).

Researchers can generate bootstrap confidence intervals for some statistics in SPSS using the BOOTSTRAP command. However, this command can only be applied to selected procedures, and only to selected statistics in these procedures. We developed an extension command and prepared some sample syntax files based on existing approaches from the Internet to illustrate how researchers can (a) generate a large number of nonparametric bootstrap samples, (b) do desired analysis on all these samples, and (c) form the bootstrap confidence intervals for selected statistics using the OMS commands.

A longitudinal investigation of the bidirectional relationship of sleep quality with emotional stability and social cynicism in a large community sample.

Objective: Dispositional characteristics like emotional stability and social cynicism have been consistently associated with negative affect, which is a known predictor and outcome of poor sleep quality. This study hypothesized a bidirectional relationship of sleep quality with emotional stability and social cynicism over a five-year period.

Methods: Participants were 7,181 Chinese people, who completed two waves of online surveys from a larger panel study.

SEM-Based Methods to Form Confidence Intervals for Indirect Effect: Still Applicable Given Nonnormality, Under Certain Conditions.

A SEM-based approach using likelihood-based confidence interval (LBCI) has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this approach requires that the variables are multivariate normally distributed. This can affect the LBCIs of unstandardized and standardized effect differently.

The influence of nonnormality from primary studies on the standardized mean difference in meta-analysis.

In this study we investigated the influence of data nonnormality in the primary studies on meta-analysis of the standardized mean difference (SMD) for a two-independent-group design. The bias, mean squared error, and confidence interval coverage probability of the mean effect sizes under different types of population distributions were compared. Also, the performance of the Q test was examined.

Simple use of BIC to Assess Model Selection Uncertainty: An Illustration using Mediation and Moderation Models.

The Bayesian information criterion (BIC) has been used sometimes in SEM, even adopting a frequentist approach. Using simple mediation and moderation models as examples, we form posterior probability distribution via using BIC, which we call the BIC posterior, to assess model selection uncertainty of a finite number of models. This is simple but rarely used.

Meta-analyzing dependent correlations with correction for artifacts that multiplicatively attenuate the true correlation.

Previous procedures for meta-analyzing dependent correlations have been found to overestimate or underestimate the true variation in effect sizes. Samplewise-adjusted procedures have been shown to perform better than simple within-study means when meta-analyzing dependent correlations. However, such procedures cannot be applied when correction for artifacts such as unreliability is desired.

Sleep and optimism: A longitudinal study of bidirectional causal relationship and its mediating and moderating variables in a Chinese student sample.

While both sleep and optimism have been found to be predictive of well-being, few studies have examined their relationship with each other. Neither do we know much about the mediators and moderators of the relationship. This study investigated (1) the causal relationship between sleep quality and optimism in a college student sample, (2) the role of symptoms of depression, anxiety, and stress as mediators, and (3) how circadian preference might moderate the relationship.

Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrations.

Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM. Random-effects models are well known in conventional meta-analysis but are less studied in MASEM.

Bidirectional relationship between sleep and optimism with depressive mood as a mediator: A longitudinal study of Chinese working adults.

Objective: Sleep and optimism are important psycho-biological and personality constructs, respectively. However, very little work has examined the causal relationship between them, and none has examined the potential mechanisms operating in the relationship. This study aimed to understand whether sleep quality was a cause or an effect of optimism, and whether depressive mood could explain the relationship.

Meta-analyzing dependent correlations: an SPSS macro and an R script.

The presence of dependent correlation is a common problem in meta-analysis. Cheung and Chan (2004, 2008) have shown that samplewise-adjusted procedures perform better than the more commonly adopted simple within-sample mean procedures. However, samplewise-adjusted procedures have rarely been applied in meta-analytic reviews, probably due to the lack of suitable ready-to-use programs.

"Social jetlag" in morning-type college students living on campus: implications for physical and psychological well-being.

Although on-campus residence allows easier access to campus facilities, existing studies showed mixed results regarding the relationship between college residence and students' well-being indicators, such as sleep behaviors and mood. There was also a lack of studies investigating the role of chronotype in the relationship between on-campus residence and well-being. In particular, the temporal relationships among these factors were unclear.

The interplay between sleep and mood in predicting academic functioning, physical health and psychological health: a longitudinal study.

Objectives: Existing studies on sleep and behavioral outcomes are mostly correlational. Longitudinal data is limited. The current longitudinal study assessed how sleep duration and sleep quality may be causally linked to daytime functions, including physical health (physical well-being and daytime sleepiness), psychological health (mood and self-esteem) and academic functioning (school grades and study effort).

Personal spiritual values and quality of life: evidence from Chinese college students.

Values are guiding principles in our life. While some studies found spiritual values to be "healthier," Sagiv and Schwartz (Eur J Soc Psychol 30:177-198, 2000) showed that people holding non-spiritual values were higher on affective well-being. We examined the predictive power of these two types of values with a longitudinal data set collected from Chinese students mainly in Hong Kong.

Cultural meaning of perceived control: a meta-analysis of locus of control and psychological symptoms across 18 cultural regions.

Integrating more than 40 years of studies on locus of control (LOC), this meta-analysis investigated whether (a) the magnitude of the relationship between LOC and psychological symptoms differed among cultures with distinct individualist orientations and (b) depression and anxiety symptoms yielded different patterns of cultural findings with LOC. We included studies that examined global self-ratings of LOC and at least 1 of the criterion variables in nonclinical samples (age range: 18-80 years). Data were analyzed on the basis of 152 independent samples, representing the testing of 33,224 adults across 18 cultural regions.

Cross-national invariance of Attention-Deficit/Hyperactivity Disorder factors in Japanese and U.S. university students.

Prior research with children generally supports the two-dimensional structure of Attention-Deficit/Hyperactivity Disorder (ADHD; inattentive and hyperactive/impulsive factors) of the DSM-IV-TR as well as invariance of the two-factor structure across nations and cultures. Research with adults supports either a two-factor or three-factor structure depending on reporting source and breadth of symptoms assessed. However, research with adults is limited and there are few studies addressing cross-national invariance in adults.

Development of an Indigenous Inventory GMAB (Gambling Motives, Attitudes and Behaviors) for Chinese gamblers: an exploratory study.

Scale development in the extant gambling literature has been dominated by pathological gamblers, but the non- or sub-clinical gamblers have been overlooked. Moreover, most scales are predominantly based on Western samples; only a few of the scales have Chinese versions validated with Chinese samples. A rarely explored niche still exists for the development of an indigenous scale for Chinese gamblers.

Clinical utility of the Cross-Cultural (Chinese) Personality Assessment Inventory (CPAI-2) in the assessment of substance use disorders among Chinese men.

This study examined the clinical utility of the Cross-Cultural (Chinese) Personality Inventory (CPAI-2) in differentiating the personality characteristics of Chinese men with substance use disorders from other psychiatric patients and normal control participants. The CPAI-2 profile of 121 Chinese men with substance use disorders was contrasted with that of a matched psychiatric comparison group (n = 172) and a normal comparison group (n = 187). Multivariate analyses of variance and logistic regression results supported the utility of the CPAI-2 clinical scales, especially Pathological Dependence, Antisocial Behavior, and Depression, for assessing substance use disorders.

Meta-analysis of stigma and mental health.

Recent research has emphasized the adverse effects of stigma on minority groups' mental health. Governments and service agencies have put much effort into combating stigma against a variety of conditions. Nevertheless, previous empirical research on the stigma-mental health relationship has yielded inconclusive findings, varying from strong negative to zero correlations.

Dependent effect sizes in meta-analysis: incorporating the degree of interdependence.

In the present article, a commonly used meta-analytic procedure for handling dependent effect sizes from a single sample was examined, and 2 revised procedures that estimate and incorporate the degree of interdependence were proposed. The authors' simulation results reveal that the commonly used procedure that averages the effect sizes from a single sample (denoted as the samplewise procedure) underestimates the degree of heterogeneity. The proposed variations are less biased than the samplewise procedure in estimating the degree of heterogeneity in most of the situations that we examined.