Meta-analytic structural equation modeling: a two-stage approach

To synthesize studies that use structural equation modeling (SEM), researchers usually use Pearson correlations (univariate r), Fisher z scores (univariate z), or generalized least squares (GLS) to combine the correlation matrices. The pooled correlation matrix is then analyzed by the use of SEM. Questionable inferences may occur for these ad hoc procedures. A 2-stage structural equation modeling (TSSEM) method is proposed to incorporate meta-analytic techniques and SEM into a unified framework. Simulation results reveal that the univariate-r, univariate-z, and TSSEM methods perform well in testing the homogeneity of correlation matrices and estimating the pooled correlation matrix. When fitting SEM, only TSSEM works well. The GLS method performed poorly in small to medium samples.     

Structural properties of personal meaning systems: A new approach to measuring meaning of life

This article introduces a new qualitative–quantitative approach to assess meaning of life. The participants described their sources of meaning and how they were interconnected. Four quantitative measures for (1) the accessibility of meaning-related knowledge, the degree of (2) differentiation and (3) elaboration of personal meaning systems, and (4) their coherence were calculated. The sample consisted of 59 theology and science students. The study tested (a) whether the structural properties of personal meaning systems predicted health and well-being, and (b) reflected different degrees of expertise in constructing meaning. Differentiation, elaboration, and coherence measures correlated with health and well-being and predicted life satisfaction. Theology students presented more differentiated, elaborated, and coherent personal meaning systems than science students. Both results indicate that assessing structural properties of personal meaning systems can be a promising new approach to measure meaning of life.     

Clarifying the role of impulsivity in dietary restraint: A structural equation modeling approach

This study was designed to clarify the relationship between the four dimensions of impulsivity in Whiteside and Lynam’s (2001) model and the two aspects of dietary restraint (Concern for Dieting and Weight Fluctuation) in a non-clinical sample. Data were collected from a volunteer community sample (N = 216) of women who responded to two self-report instruments related to impulsivity (UPPS Impulsive Behavior Scale, Whiteside & Lynam, 2001) and dietary restraint (Restraint Scale, Polivy, Herman, & Warsh, 1978). A structural equation model was tested. The model provided a good fit to the data (χ²/df = 1.64, p < .0001, RMSEA = 0.054, 90% CI = 0.050–0.058, p-value for test of close fit (RMSEA > 0.05) = .035) and revealed that Concern for Dieting was positively related to Urgency (standardized β = 0.25, p < .01). Weight Fluctuation was related to lack of Perseverance (standardized β = 0.25, p < .01) and tended to relate to Sensation Seeking (standardized β = 0.17, p = .056). Urgency and lack of Perseverance were found to play a significant role in predicting Concern for Dieting and Weight Fluctuation.     

Resilience and coping in trauma spectrum symptoms prediction: A structural equation modeling approach

Resilience is increasingly recognized as a relevant factor in shaping psychological response to natural disasters. Aim of the study is to examine in the context of a natural disaster the potential effects of resilience on the relation between coping and trauma spectrum symptoms, using structural equation modeling.A sample of 371 students who survived the earthquake in L’Aquila (Italy) were cross-sectionally evaluated using Resilience Scale for Adolescents, Brief Cope and Trauma and Loss Spectrum scale.The model shows a direct path of positive and emotional coping styles on resilience. Emotional coping shows also a direct impact on the outcome; positive and emotional coping results to be positively correlated as well as emotional and disengagement coping styles. Resilience directly affects the PTSD symptoms, partially mediating the impact of the coping styles. The model explains 30% of the variance in the outcome, i.e. the Post-Traumatic Stress Disorder (PTSD) symptoms, with very good fit indexes.Resilience operates as a protective factor from stress symptom development. It is likely that emotional and disengagement coping skills are rapidly involved after a traumatic exposure but when problem focused coping intervenes, resilience allows it to buffer the stressors or even guides toward a more successful outcome.     

The Multidimensional Existential Meaning Scale: A tripartite approach to measuring meaning in life

To address conceptual difficulties and advance research on meaning in life (MIL), it may be useful to adopt a tripartite view of meaning as consisting of comprehension, purpose, and mattering. This paper discusses the development of the Multidimensional Existential Meaning Scale (MEMS), which explicitly assesses these three subconstructs. Results from three samples of undergraduates showed the MEMS to have favorable psychometric properties (e.g. good factor structure and reliability) and demonstrated that it can effectively differentiate the three subconstructs of meaning. Regression and relative importance analyses showed that each MEMS subscale carried predictive power for relevant variables and other meaning measures. Additionally, the MEMS subscales demonstrated theoretically consistent, differential associations with other variables (e.g. dogmatism, behavioral activation, and spirituality). Overall, results suggest that the MEMS may offer more conceptual precision than existing measures, and it may open new avenues of research and facilitate a more nuanced understanding of MIL.     

Meaning gained versus meaning lost: The effects of meaning salience on anxiety and depression during the coronavirus pandemic

People who have meaningful lives generally experience less anxiety and depression. Meaning salience, or the awareness of the meaning in one's life, is believed to partially explain this relationship. However, in times of isolation, what might be most salient to people are the meaningful aspects of their lives that have disappeared. This study seeks to understand how making gained versus lost meaning salient affects anxiety and depression. Participants either wrote for 5 minutes about how their life gained meaning (n = 29) or lost meaning (n = 30) due to the coronavirus restrictions, or about music (i.e., the control condition; n = 32). Those who wrote about gained meaning experienced less momentary anxiety than those who wrote about lost meaning. In addition, meaning salience moderated the relationship between meaning and both anxiety and depression. Those who wrote about gained meaning appeared to exhibit a positive relationship between meaning in life (MIL) and both anxiety and depression, while those who wrote about lost meaning exhibited negative relationships. In all, this suggests that meaning salience is not always positive and that researchers and practitioners should consider how making positive meaning salient may be more beneficial than a general focus on MIL.     

Longitudinal trajectories of bicultural identity integration in recently immigrated Hispanic adolescents: Links with mental health and family functioning

This study examined, in a sample of recently immigrated Hispanic adolescents in Miami and Los Angeles, the extent to which bicultural identity integration (BII; involving the ability to synthesise one's heritage and receiving cultural streams and to identify as a member of both cultures) is best understood as a developmental construct that changes over time or as an individual‐difference construct that is largely stable over time. We were also interested in the extent to which these trajectories predicted mental health and family functioning. Recent‐immigrant 9th graders (N = 302) were assessed 6 times from 9th to 12th grade. Latent class growth analyses using the first 5 timepoints identified 2 trajectory classes—one with lower BII scores over time and another with higher BII scores over time. Higher heritage and US identity at baseline predicted membership in the higher BII class. At the 6th study timepoint, lower BII adolescents reported significantly poorer self‐esteem, optimism, prosocial behaviour and family relationships compared with their higher BII counterparts. These findings are discussed in terms of further research on the over‐time trajectory of biculturalism, and on the need to develop interventions to promote BII as a way of facilitating well‐being and positive family functioning.     

Perceptions of ambiguously unpleasant interracial interactions: a structural equation modeling approach

Despite a general consensus in the United States that overtly racist acts are unacceptable, many ambiguous situations in everyday life raise questions of whether racism has influenced a person's behavior in an interracial encounter. The authors of the present study sought to (a) examine simultaneously an array of variables thought to be related to perceived racism and (b) investigate how the contribution of these variables may differ with respect to the asymmetry hypothesis, which suggests that acts of discrimination from a dominant person toward a subordinate person will be viewed as more biased than if the situation were reversed. The authors used a dual structural equation modeling approach. Results indicated that ethnic identity significantly predicted perceived racism. In addition, the extent to which cognitive interpretation style significantly predicted perceived racism depended on the ethnicity of participants involved in the interaction.     

Predictors of champion behaviors in an evidence-based parenting program: A structural equation modeling approach

The importance of champions in the implementation of evidence-based public health programs has been well established. Champions perform a range of behaviors which can have significant influence on the adoption and sustainability of interventions. This study investigates champion behaviors in parenting practitioners with the aim to provide insight into the range and extent that practitioners engage in champion behaviors and to examine predictors of practitioners' champion behaviors using structural equation modeling. Data were collected during a large international implementation survey of 1606 practitioners trained to deliver an evidence-based parenting program, the triple P—Positive Parenting Program. We developed a 13-item Champion Behaviors Scale which was administered alongside other measures of predictors of implementation outcomes. Perceived usefulness of the program was the most important facilitator of both public and personal champion behaviors. Certain desirable features of the program tended to not only be positively associated with the perceived usefulness of the program, but also had a unique impact on practitioners' personal champion behaviors. Higher positions within organizations were linked with more public champion behaviors. Although organizational support was found to be unrelated to champion behaviors in the structural model, it facilitated other predictors of champion behaviors.     

Comparing standardized coefficients in structural equation modeling: a model reparameterization approach

We propose a two-stage method for comparing standardized coefficients in structural equation modeling (SEM). At stage 1, we transform the original model of interest into the standardized model by model reparameterization, so that the model parameters appearing in the standardized model are equivalent to the standardized parameters of the original model. At stage 2, we impose appropriate linear equality constraints on the standardized model and use a likelihood ratio test to make statistical inferences about the equality of standardized coefficients. Unlike other existing methods for comparing standardized coefficients, the proposed method does not require specific modeling features (e.g., specification of nonlinear constraints), which are available only in certain SEM software programs. Moreover, this method allows researchers to compare two or more standardized coefficients simultaneously in a standard and convenient way. Three real examples are given to illustrate the proposed method, using EQS, a popular SEM software program. Results show that the proposed method performs satisfactorily for testing the equality of standardized coefficients.     

The relationship between anxiety sensitivity and latent symptoms of emotional problems: A structural equation modeling approach

A large body of research suggests that common and specific psychopathology dimensions underlie the symptoms that occur within mood and anxiety disorders. As of yet, it is unclear precisely how the facets of Anxiety Sensitivity (AS), or fear of the symptoms of fear and anxiety, relate to these latent factors. Using data from 606 adolescents participating in the baseline phase of a longitudinal study on risk factors for emotional disorders, we modeled the facets of AS as measured by the Anxiety Sensitivity Index-Expanded Form (ASI-X) and related these facets to a hierarchical model of latent symptoms of psychological distress. Results suggest that one facet of AS is associated with a broad General Distress factor underlying symptoms of most emotional disorders while others relate to intermediate-level and conceptually-meaningful narrow factors representing aspects of psychological distress specific to particular emotional disorders.     

Relationships between thought-action fusion, thought suppression and obsessive-compulsive symptoms: a structural equation modeling approach

Research has shown that there are strong similarities in content between the obsessions and compulsions that characterize obsessive-compulsive disorder and nonclinical obsessions and compulsions. However, clinical and nonclinical obsessions and compulsions do differ with respect to characteristics like frequency, intensity, discomfort and elicited resistance. Two separate concepts have been invoked to explain how normal obsessions and compulsions may develop into clinical phenomena. First, it is suggested that thought-action fusion (TAF) contributes to obsessive-compulsive symptoms. Second, thought suppression may intensify obsessive-compulsive symptoms due to its paradoxical effect on intrusive thoughts. Although both phenomena have been found to contribute to obsessive-compulsive symptoms, possible interactions between these two have never been investigated. The current study explored how TAF and thought suppression interact in the development of obsessive-compulsive symptoms. Undergraduate psychology students (N = 173) completed questionnaires pertaining to TAF, thought suppression and obsessive-compulsive symptoms. Covariances between the scores on these questionnaires were analyzed by means of structural equation modeling. Results suggest that TAF triggers thought suppression, while thought suppression, in turn, promotes obsessive-compulsive symptoms.     

Bayesian structural equation modeling: A more flexible representation of substantive theory

This article proposes a new approach to factor analysis and structural equation modeling using Bayesian analysis. The new approach replaces parameter specifications of exact zeros with approximate zeros based on informative, small-variance priors. It is argued that this produces an analysis that better reflects substantive theories. The proposed Bayesian approach is particularly beneficial in applications where parameters are added to a conventional model such that a nonidentified model is obtained if maximum-likelihood estimation is applied. This approach is useful for measurement aspects of latent variable modeling, such as with confirmatory factor analysis, and the measurement part of structural equation modeling. Two application areas are studied, cross-loadings and residual correlations in confirmatory factor analysis. An example using a full structural equation model is also presented, showing an efficient way to find model misspecification. The approach encompasses 3 elements: model testing using posterior predictive checking, model estimation, and model modification. Monte Carlo simulations and real data are analyzed using Mplus. The real-data analyses use data from Holzinger and Swineford's (1939) classic mental abilities study, Big Five personality factor data from a British survey, and science achievement data from the National Educational Longitudinal Study of 1988. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Alone and without purpose: Life loses meaning following social exclusion

Four studies (N = 643) supported the hypothesis that social exclusion would reduce the global perception of life as meaningful. Social exclusion was manipulated experimentally by having a confederate refuse to meet participants after seeing their videotaped introduction (Study 1) and by ostracizing participants in a computerized ball-tossing game (Study 2). Compared to control condition and acceptance conditions, social exclusion led to perceiving life as less meaningful. Exclusion was also operationalized as self-reported loneliness, which was a better predictor of low meaning than other potent variables (Study 3). Study 4 found support for Baumeister’s model of meaning (1991), by demonstrating that the effect of exclusion on meaning was mediated by purpose, value, and positive self-worth.     

Finding meaning in us: The role of meaning in life in romantic relationships

The present research tested a model of relationship functioning that incorporates meaning in life (MIL), proposing that MIL plays an important role in individuals’ motivations and perceived quality of romantic relationships. Study 1 employed a weekly diary methodology (N = 121 individuals in romantic relationships) and found that both within- and between-person relationship MIL are associated with internalized motivational states (i.e. intrinsic motivation, harmonious passion) and relationship quality (i.e. satisfaction, commitment). Study 2 was a dyadic study that examined both members of romantic couples (N = 238 dyads). Results found that both one’s own and one’s partner’s MIL predict motivation and relationship quality. Further, we also found evidence of a hierarchical model of MIL, such that relationship-specific experiences of MIL mediate associations between general MIL and relationship motivation and quality. Taken together, this research provides consistent and compelling evidence regarding the importance of MIL in romantic relationships.     

结构方程模型统计检验力分析：原理与方法

结构方程模型是心理学、管理学、社会学等学科中重要的统计工具之一。然而, 大量使用结构方程模型的研究忽视了对该方法的统计检验力进行必要的分析和报告, 在一定程度上降低了这些研究的结果的证明效力。结构方程模型的统计检验力分析方法主要有Satorra-Saris法、MacCallum法与Monte Carlo法三类。其中Satorra-Saris法适用于备择模型清晰、检验对象相对简单、检验方法基于χ²分布的情形; MacCallum法适用于基于χ²分布的模型拟合检验且备择模型不明的情形; Monte Carlo法适用于检验对象相对复杂、采用模拟或重抽样方法进行检验的情形。在实际应用中, 研究者应当首先判断检验的目的、方法以及是否有明确的备择模型, 并根据这些信息选择具体的分析方法。     

Appraised psychological workload, musculoskeletal symptoms, and the mediating effect of fatigue: a structural equation modeling approach

The aim of the present study was to test two structural models of the relationship between appraised psychological workload and musculoskeletal symptoms from the neck, shoulder, and upper and lower back with different aspects of perceived fatigue as mediating variables. In this cross-sectional study a questionnaire survey was conducted among employees at three Swedish assembly plants (n= 305). The proposed models were tested for one general fatigue dimension--lack of energy--and four specific fatigue dimensions--physical discomfort, physical exertion, lack of motivation, and sleepiness--using structural equation modeling. The results indicate that the role of perceived fatigue in the relationship between appraised workload and musculoskeletal symptoms is different for different aspects of fatigue. The general fatigue dimension, lack of energy, does not mediate the relationship. As regards the specific fatigue dimensions, the relationship is partially mediated by physical discomfort and lack of motivation but not by physical exertion or sleepiness. Appraised psychological workload has a unique effect on musculoskeletal symptoms not mediated by fatigue.     

The normativity of meaning and the hard problem of intentionality

This note addresses two of Gibbard's central contentions in Meaning and Normativity: first, that the concept of meaning is normative, and second, that an expressivist account of semantic concepts and statements can shed light on the hard problem of intentionality, the problem of explaining intentionality in naturalistic terms.     

Beyond congruence measures for the evaluation of personality factor structure replicability: An exploratory structural equation modeling approach

The present study aims to illustrate an encompassing approach to the evaluation of personality factor structure replicability based on novel exploratory structural equation modeling (ESEM) methods. This approach comprises formal tests of measurement invariance applied to the flexible ESEM framework and overcomes the limitations of congruence measures that have traditionally been used to assess factor replicability in personality research. On the basis of 1566 responses to the widely-used NEO Five-Factor-Inventory (NEO-FFI), we demonstrate this ESEM approach in the context of examining the invariance of the NEO-FFI factor structure across gender. The approach is shown to converge with traditional congruence measures and extend these measures for examining factorial structure consistency. In addition, more general replicative data supporting the validity of the NEO-FFI are reported. We discuss the ESEM approach as a viable alternative to the congruence approach and acknowledge some important limitations of the method.     

A structural modeling approach to the understanding of parenting stress

Tested and cross-validated a multidimensional model of predictors of parenting stress on data from a population-based sample of Swedish mothers (N = 1,081) with children ages 6 months to 3 years. The study was a cross-sectional questionnaire study, focusing on the explanation of variance in parenting stress. Structural equation modeling procedures permitted disentanglement of total, direct, and indirect effects. A Swedish instrument based on parts of the Parent Domain in the Parenting Stress Index was used as a measure of stress. The results provided general support for the proposed model. High workload, low social support, perception of the child as fussy-difficult, negative life events, child caretaking hassles, more children in the family, and high maternal age related directly to more stress. Child irregularity contributed indirectly to mother's experienced stress. No buffering effects of social support were found. Forty-eight percent of the variance in the parenting stress measure was explained by the model. Implications for interventions were discussed.