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Mediation analysis practices in social and personality psychology would benefit from the integration of practices from statistical mediation analysis, which is currently commonly implemented in social and personality psychology, and causal mediation analysis, which is not frequently used in psychology. In this chapter, I briefly describe each method on its own, then provide recommendations for how to integrate practices from each method to simultaneously evaluate statistical inference and causal inference as part of a single analysis. At the end of the chapter, I describe additional areas of recent development in mediation analysis that that social and personality psychologists should also consider adopting I order to improve the quality of inference in their mediation analysis: latent variables and longitudinal models. Ultimately, this chapter is meant to be a kind introduction to causal inference in the context of mediation with very practical recommendations for how one can implement these practices in one’s own research.
The two statistical approaches commonly used in the analysis of dyadic and group data, multilevel modeling and structural equation modeling, are reviewed. Next considered are three different models for dyadic data, focusing mostly on the very popular actor–partner interdependence model (APIM). We further consider power analyses for the APIM as well as the partition of nonindependence. We then present an overview of the analysis of over-time dyadic data, considering growth-curve models, the stability-and-influence model, and the over-time APIM. After that, we turn to group data and focus on considerations of the analysis of group data using multilevel modeling, including a discussion of the social relations model, which is a model of dyadic data from groups of persons. The final topic concerns measurement equivalence of constructs across members of different types in dyadic and group studies.
Different aspects of social relationships (e.g., social network size or loneliness) have been associated with dementia risk, while their overlap and potentially underlying pathways remain largely unexplored. This study therefore aimed to (1) discriminate between different facets of social relationships by means of factor analysis, (2) examine their associations with dementia risk, and (3) assess mediation by depressive symptoms.
Methods
Thirty-six items from questionnaires on social relationships administered in Wave 2 (2004/2005) of the English Longitudinal Study of Ageing (n = 7536) were used for exploratory and confirmatory factor analysis. Factors were then used as predictors in Cox proportional hazard models with dementia until Wave 9 as outcome, adjusted for demographics and cardiovascular risk factors. Structural equation modeling tested mediation by depressive symptoms through effect decomposition.
Results
Factor analyses identified six social factors. Across a median follow-up time of 11.8 years (IQR = 5.9–13.9 years), 501 people developed dementia. Higher factor scores for frequency and quality of contact with children (HR = 0.88; p = 0.021) and more frequent social activity engagement (HR = 0.84; p < 0.001) were associated with lower dementia risk. Likewise, higher factor scores for loneliness (HR = 1.13; p = 0.011) and negative experiences of social support (HR = 1.10; p = 0.047) were associated with higher dementia risk. Mediation analyses showed a significant partial effect mediation by depressive symptoms for all four factors. Additional analyses provided little evidence for reverse causation.
Conclusions
Frequency and quality of social contacts, social activity engagement, and feelings of loneliness are associated with dementia risk and might be suitable targets for dementia prevention programs, partly by lowering depressive symptoms.
While maternal at-risk drinking is associated with children's emotional and behavioral problems, there is a paucity of research that properly accounts for genetic confounding and gene–environment interplay. Therefore, it remains uncertain what mechanisms underlie these associations. We assess the moderation of associations between maternal at-risk drinking and childhood emotional and behavioral problems by common genetic variants linked to environmental sensitivity (genotype-by-environment [G × E] interaction) while accounting for shared genetic risk between mothers and offspring (GE correlation).
Methods
We use data from 109 727 children born to 90 873 mothers enrolled in the Norwegian Mother, Father, and Child Cohort Study. Women self-reported alcohol consumption and reported emotional and behavioral problems when children were 1.5/3/5 years old. We included child polygenic scores (PGSs) for traits linked to environmental sensitivity as moderators.
Results
Associations between maternal drinking and child emotional (β1 = 0.04 [95% confidence interval (CI) 0.03–0.05]) and behavioral (β1 = 0.07 [0.06–0.08]) outcomes attenuated after controlling for measured confounders and were almost zero when we accounted for unmeasured confounding (emotional: β1 = 0.01 [0.00–0.02]; behavioral: β1 = 0.01 [0.00–0.02]). We observed no moderation of these adjusted exposure effects by any of the PGS.
Conclusions
The lack of strong evidence for G × E interaction may indicate that the mechanism is not implicated in this kind of intergenerational association. It may also reflect insufficient power or the relatively benign nature of the exposure in this sample.
Although practitioners and scientists agree that user adoption of new technologies is a key success factor in digital transformations, little is known about how specific management factors are related to user behavior. In particular, the temporal nature of digital transformation projects is largely neglected. Therefore, we propose a systematic, theory-based framework for the management of digital adoption (MDA) and derive specific process-oriented hypotheses for content-, process-, and context-related management factors, their relationships to user adoption, and underlying psychological processes (e.g., performance expectancy or social influence). We applied the MDA framework in the context of a large digital transformation project in a logistics company in a two-wave research design. We tested the process-oriented hypotheses based on latent change score analysis among 1,095 users. The results support the assumption that changes in management factors, largely mediated by changes in the psychological processes, lead to changes in user behavior.
This study examined various factors influencing protective actions among persons with disabilities exposed to the December 10–11, 2021, tornado outbreak in the US Midwest and Southeastern regions.
Methods:
Survey administration occurred 5 months following the tornado outbreak and included a total of 209 persons with disabilities who lived in one of the counties impacted by tornado warnings. Structural equation modeling was used to examine the direct and indirect effects of hypothesized predictors impacting protective behavioral actions.
Results:
Results found that persons with disabilities who had access to more tornado warning sources increased their protective actions, and tornado risk perception further mediated the relationship between warning information sources and protective actions. In addition, results found that persons with disabilities who encountered more situational barriers in their physical and social environment were found to have a decrease in protective action, and having more situational resources was found to contribute to the ability to take protective action.
Conclusions:
The current study’s results highlight the need for policies and practices that provide additional physical and social resources for persons with disabilities to seek protection during tornado threats.
Individual differences in educational attainment (EA) and physical health, as indexed by body mass index (BMI), are correlated within individuals and across generations. The aim of our study was to assess the transmission of these traits from parents to their offspring in childhood and adolescence. We analyzed BMI and EA in 13,916 families from the Netherlands. Data were available for 27,577 parents (mean age 33) and 26,855 of their offspring at 4 and 12 years of age. We employed structural equation modeling to simultaneously estimate the phenotypic transmission of BMI and EA from parents to offspring, the spousal correlations, and the residual child BMI-EA associations after accounting for intergenerational transmission and testing for gender differences therein. We found a significant intergenerational transmission of BMI to BMI in childhood (age 4; standardized regression coefficient β = .10) and adolescence (age 12; β = .20), and of EA to academic achievement in adolescence (β = .19). Cross-trait parent-to-offspring transmission was weak. All transmission effects were independent of parent or offspring gender. We observed within-person EA-BMI correlations that were negative in parents (∼−.09), positive in children (∼.05) and negative in adolescents (∼−.06). Residual EA-BMI were positive in children (∼.05) and insignificant in adolescents. Spousal correlations were .46 for EA, .21 for BMI, and ∼−.09 cross-trait. After accounting for spousal correlations, the intergenerational transmission for BMI and EA is mainly predictive within, but not across, traits. The within-person correlation between BMI and EA can change in direction between childhood and adulthood.
Informal caregivers are the core of long-term care for older and disabled people. Although previous research has studied factors that influence caregivers’ burden, little is known about the different care domains and why they influence the caregivers’ perceived burden. Drawing on a large-scale German survey, the current study makes a first attempt to address this research gap. The study used cross-sectional data on 1.429 informal caregivers. Germany is characterized by comprehensive but fragmented health and social protection systems oriented toward supporting informal care at home. Structural equation modeling (SmartPLS 3) was used to estimate the effects of five care domains on three burden dimensions and, ultimately, on the overall burden. Our results indicate that support in organizational matters had the highest impact on the overall perceived burden. The findings reveal that German caregivers particularly struggle with bureaucracy, i.e. an area that can directly be influenced by policymakers.
Structural equation modeling (SEM) is a family of statistical techniques and methods for testing hypotheses about causal effects among observed or proxies for latent variables. There are increasing numbers of SEM studies published in the research literatures of various disciplines, including psychology, education, medicine, management, and ecology, among others. Core types of structural equation models are described, and examples of causal hypotheses that can be tested in SEM are considered. Requirements for reporting the results of SEM analyses and common pitfalls to avoid are reviewed. Finally, an example of evaluating model fit is presented along with computer syntax so that readers can reproduce the results.
To develop entrepreneurial orientation (EO), small and medium-sized enterprises (SMEs) need to possess managerial and organizational capabilities. In this paper, we posit that adaptive capabilities (AC) and network capabilities (NCs) are assets that allow an SME to distinguish itself and establish an entrepreneurial culture. We investigate the direct effect of AC on EO. Furthermore, we consider the mediating effect of NCs on the AC–EO relationship. The results show that a high level of AC fosters EO. In addition, NCs are shown to be influenced mainly by the SME's ability to cope with change and build relationships with external partners to detect entrepreneurial opportunities.
Characterizing and quantifying the trajectories of variables of interest through time in their field of study is of interest to a range of disciplines. The aim of this study was to investigate the growth speed in height of children and its determinants. A total of 3401 males and 3200 females from four low- and middle-income countries with measured height on five occasions from 2002 to 2016 were included in the study. Data were analyzed using a latent growth model. The results of the study reported that children in four low- and middle-income countries exhibited substantial growth inequalities. There was a significant gender difference in change of growth with males had a higher baseline, rate of change, and acceleration in height growth than females. Comparing the component of slopes across countries, the growth change inequalities were observed among children. These inequalities were statistically significant, with the highest rate of change observed in Peru and Vietnam.
This paper outlines a procedure for assessing the quality of failure explanations in engineering failure analysis. The procedure structures the information contained in explanations such that it enables to find weak points, to compare competing explanations, and to provide redesign recommendations. These features make the procedure a good asset for critical reflection on some areas of the engineering practice of failure analysis and redesign. The procedure structures relevant information contained in an explanation by means of structural equations so as to make the relations between key elements more salient. Once structured, the information is examined on its potential to track counterfactual dependencies by offering answers to relevant what-if-things-had-been-different questions. This criterion for explanatory goodness derives from the philosophy of science literature on scientific explanation. The procedure is illustrated by applying it to two case studies, one on Failure Analysis in Mechanical Engineering (a broken vehicle shaft) and one on Failure Analysis in Civil Engineering (a collapse in a convention center). The procedure offers failure analysts a practical tool for critical reflection on some areas of their practice while offering a deeper understanding of the workings of failure analysis (framing it as an explanatory practice). It, therefore, allows to improve certain aspects of the explanatory practices of failure analysis and redesign, but it also offers a theoretical perspective that can clarify important features of these practices. Given the programmatic nature of the procedure and its object (assessing and refining explanations), it extends work on the domain of computational argumentation.
Recent initiatives have focused on integrating transdiagnostic biobehavioral processes or dispositions with dimensional models of psychopathology. Toward this goal, biobehavioral traits of affiliative capacity (AFF) and inhibitory control (INH) hold particular promise as they demonstrate transdiagnostic stability and predictive validity across developmental stages and differing measurement modalities. The current study employed data from different modes of measurement in a sample of 1830 children aged 5–10 years to test for associations of AFF and INH, individually and interactively, with broad dimensions of psychopathology. Low AFF, assessed via parent-report, evidenced predictive relations with distress- and externalizing-related problems. INH as assessed by cognitive-task performance did not relate itself to either psychopathology dimension, but it moderated the effects observed for low AFF, such that high INH protected against distress symptoms in low-AFF participants, whereas low INH amplified distress and externalizing symptoms in low-AFF participants. Results are discussed in the context of the interface of general trait transdiagnostic risk factors with quantitatively derived dimensional models of psychopathology.
This paper aims to assess young farmers' willingness to adopt sustainable agriculture (SA) by implementing the expanded theory of planned behavior (TPB) within the northern region of Bangladesh. The outcomes attained specified that attitudes toward SA, perceived behavior control and perceived self-identity have progressive and fundamental impacts on adoption behavior and affect farmers' intentions to adopt SA's particular production mechanism. On the other hand, the social interface view toward SA is not significantly associated with the Bangladeshi farmer's adoption intention. The results also show that interconnections between social and familial pressure are not significant for sustainable farming practice adoption intentions. However, the interconnections among the psychosocial factors have a crucial role in formulating the TPB to forecast the intentional behavior for adopting SA practices. Thus, the government should highlight the advantages of several sustainable agricultural practices and circulate more detailed information regarding SA tactics to improve the knowledge gap of smallholder farmers. Furthermore, training facilities should be extended to improve the attitude and perceived self-identity of young farmers. Moreover, the formulation of structural information sharing platforms and agricultural value chain facilities should also help shape young farmers' interpersonal behavior in adopting SA practices.
Research on the development of interpreting competence could be a window to the issue of how L2 learners develop complex language skills. The present study conducted a longitudinal experiment with beginning interpreting students, exploring the change of relationship between consecutive interpreting (CI) competence and two related capacities (i.e., language competence and memory capacity). Two major results were revealed. First, in general, more language skills and working memory (WM) spans got correlated with CI performance at the later stage of CI training. Second, a fit structural equation model of CI competence could only be reported in the post-test. We may therefore conclude that the development of interpreting competence is at least partly a result of the self-organization of the interpreting competence system, in which relevant components get mobilized, and a better coordinated structure emerges. Implications for the development of complex language skills and for the concept of self-organization are discussed.
The present study investigates the role of perceived social support and development-focused feedback techniques on behavioral integration of feedback in the context of individual psychological assessment. We hypothesized that development-focused techniques would predict participants’ motivational intention to act on feedback and tested whether perceived social support would mediate or moderate the relationship between motivational intention and behavioral outcomes. We performed structural equation modeling analyses on data collected at two time-points. Two hundred and forty (N = 240) participants completed questionnaires immediately after their feedback session (T1) and 138 of them completed questionnaires three months later (T2). The model results, χ2 = 230.09, p < .01, CFI = .97, TLI = .97, SRMR = .06, RMSEA = .03 90% CI [.02, .05], suggest that development-focused techniques predict motivational intention, social support mediates the relationship between motivational intention and developmental activities (R2 = .31), and social support also interacts with development-focused techniques to predict behavior change (R2 = .40). The relationship between social support and behavioral change is higher when the assessor uses few development-focused techniques (at –1 SD, b = .32, p < .001, 95% CI [.27, .36]). The study provides empirical insights about how behavioral change unfolds in an IPA feedback context and suggests that participants could benefit from obtaining social support to act on feedback. Assessors should focus on development during feedback and encourage the participant to seek social support to facilitate their subsequent professional development. Because the findings rely on self-reported data, future studies would benefit from including observed measures.
The cost of recruitment and training of newcomers can be a burden for enterprises, causing adverse effects on human resources management. Although much research has addressed employee turnover, less attention has been paid to methods of improving the retention of new hires. This study is an empirical examination of the increase in predictive strength of antecedents of affective commitment for comparing newcomers’ workplace spirituality. The results of an employee survey completed by 237 newcomers with under two years of work experience indicate that socialization tactics have a direct impact on job embeddedness, which in turn has a direct effect on affective commitment. Workplace spirituality has a significant moderating effect on the relationship between socialization tactics and job embeddedness. Also, workplace spirituality has a significant moderating effect on the relationship between job embeddedness and affective commitment.
In rapidly changing work environments, individuals need a willingness and ability to learn new skills and knowledge to contribute to their organization's goals and their own employability. As the baby-boomer generation begins to exit the workplace, organizations need to pay attention to developing the capability of younger, novice workers who will increasingly comprise the core workforce of the future. The present study, grounded in social cognitive theory, develops and examines a model of learning and development for younger workers. In total, 1,732 employees in New Zealand aged 16–24 years completed a survey relating to their perceptions, beliefs, and intentions regarding learning and development. The results from structural equation modeling show that individual and work-environment factors both influence younger workers' developmental intentions but affect this through different pathways. The study contributes to a better understanding of the development process for younger workers and offers implications for management based on these findings.
This study investigates whether the perceived opportunity to craft (POC) is related to job crafting (JC) strategies and whether these strategies are related to thriving at work, in terms of both vitality and learning. It aims to verify the mediating role of JC between POC and thriving. Data were collected from 424 accounting professionals in Canada. The structural equation modeling based on bootstrap analysis was used to test mediation. The results indicate that POC is positively related to increasing structural and social resources and challenging job demands and negatively to decreasing hindering job demands. They reveal that increasing structural and social resources enhances learning and mediates the relation between POC and vitality and learning, as do challenging job demands, whereas decreasing hindering job demands does not. This study is one of the first to confirm that POC influences vitality and learning via JC behaviors as mediators.
Social cognitive deficits can have many negative consequences, spanning social withdrawal to psychopathology. Prior work has shown that child maltreatment may associate with poorer social cognitive skills in later life. However, no studies have examined this association from early childhood into adolescence. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4,438), we examined the association between maltreatment (caregiver physical or emotional abuse; sexual or physical abuse), assessed repeatedly (every 1–3 years) from birth to age 9, and social cognitive skills at ages 7.5, 10.5, and 14 years. We evaluated the role of both the developmental timing (defined by age at exposure) and accumulation of maltreatment (defined as the number of occasions exposed) using a least angle regression variable selection procedure, followed by structural equation modeling. Among females, accumulation of maltreatment explained the most variation in social cognitive skills. For males, no significant associations were found. These findings underscore the importance of early intervention to minimize the accumulation of maltreatment and showcase the importance of prospective studies to understand the development of social cognition over time.