Conceptual and Methodological Issues in the Analysis of Cross-Sectional and Longitudinal Dyadic Data

2018 ◽  
pp. 208-238
Author(s):  
Deborah A. Kashy ◽  
M. Brent Donnellan
Keyword(s):  
Structural Equation ◽  
Mutual Influence ◽  
Growth Models ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Personality Psychology ◽  
Influence Model ◽  
Actor Partner Interdependence Model ◽  
The Common ◽  
Original Survey

This chapter provides an introduction to the analysis of nonindependent data from dyads. We begin by examining current practices regarding dyadic and group research in social and personality psychology and compare those findings with our original survey of research published in 2008 and 2009. We then present basic definitions, as well as a brief introduction to multilevel modeling and structural equation modeling for dyads. We present SPSS and Mplus syntax to specify the models we describe. We then discuss cross-sectional and longitudinal dyadic designs and provide examples of how these have been used to advance social and personality psychological science. For cross-sectional designs we provide details of the actor–partner interdependence model and two other dyadic models as alternatives—the common fate model and the mutual influence model. For longitudinal designs, we discuss dyadic growth models.

Conceptual and Methodological Issues in the Analysis of Data from Dyads and Groups

2012 ◽  
pp. 208-238 ◽  
Author(s):  
Deborah A. Kashy ◽  
M. Brent Donnellan
Keyword(s):  
Social Relations ◽  
Growth Models ◽  
Cross Sectional ◽  
Personality Psychology ◽  
Psychological Science ◽  
Actor Partner Interdependence Model ◽  
Group Research ◽  
The Social ◽  
The One ◽  
Spss Syntax

This chapter provides a detailed introduction to the analysis of nonindependent data from dyads and groups. We begin the chapter by examining current practices regarding dyadic and group research in social and personality psychology. We then present a set of basic definitions, as well as a brief introduction to multilevel modeling (MLM). Throughout the chapter we present SPSS syntax that can be used to specify the models we describe using variants of MLM. The remainder of the chapter is broken into two sections—the first focuses on dyadic contexts, and the second focuses on group contexts. For dyads we discuss both cross-sectional and longitudinal designs, and we provide a detailed discussion of the actor-partner interdependence model (APIM), dyadic growth models, and lagged models. For groups we limit our presentation to methods for cross-sectional research; we describe the APIM for groups, the one-with-many design, and we provide a brief introduction to the social relations model. Examples of how these methods have been used to advance social and personality psychological science are given throughout.

Spirituality and Common Dyadic Coping

2012 ◽  
Vol 34 (3) ◽  
pp. 323-346 ◽  
Author(s):  
Jennifer L. Austin ◽  
Mariana K. Falconier
Keyword(s):  
Structural Equation ◽  
Dyadic Coping ◽  
Psychological Aggression ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Actor Partner Interdependence Model ◽  
Negative Effect ◽  
Latino Couples ◽  
Positive Effect ◽  
Model Approach

This study examined whether spirituality and dyadic coping protected partners from becoming psychologically aggressive toward each other using secondary, cross-sectional data from a sample of 104 Latino couples living in the Washington, D.C. metropolitan area. The model tested was based on Bodenmann’s Systemic Transactional model and incorporated an Actor–Partner Interdependence Model approach. Structural equation modeling results indicated that each partner’s spirituality had a direct negative effect on their own psychological aggression and a direct positive effect on their own supportive dyadic coping and the couple’s common dyadic coping. Each partner’s spirituality also had an indirect effect on both partners’ psychological aggression through increases in the couple’s common dyadic coping. Supportive dyadic coping was not found to mediate the relation between spirituality and psychological aggression. Limitations of the study as well as clinical, programmatic, and research implications are discussed.

Easy Statistical Mediation Analysis With Distinguishable Dyadic Data

2019 ◽  
Vol 69 (6) ◽  
pp. 612-649 ◽  
Author(s):  
Jacob J Coutts ◽  
Andrew F Hayes ◽  
Tao Jiang
Keyword(s):  
Mediation Analysis ◽  
Indirect Effects ◽  
Structural Equation ◽  
Mutual Influence ◽  
Ordinary Least Squares ◽  
Equation Modeling ◽  
Least Squares Regression ◽  
Dyadic Data ◽  
Actor Partner Interdependence Model ◽  
Statistical Mediation Analysis

Abstract Research in communication and other social science disciplines that relies on measuring each member of a dyad on putative causes and effects can require complex analyses to illuminate how members of the dyad influence one another. Dyadic mediation analysis is a branch of mediation analysis that focuses on establishing the mechanism(s) by which mutual influence operates. Relying on the similarity between dyadic mediation analysis using structural equation modeling and mediation analysis with ordinary least squares regression, we developed MEDYAD, an easy-to-use computational tool for SPSS, SAS, and R that conducts dyadic mediation analysis with distinguishable dyadic data. MEDYAD implements the Actor-Partner Interdependence Model Extended to Mediation (APIMeM), as well as simpler and more complex dyadic mediation models. Bootstrapping methods are implemented for inferences about indirect effects. Additional features include methods for conducting all possible pairwise comparisons between indirect effects, heteroskedasticity-robust inference, and saving bootstrap estimates of parameters for further analysis.

Impact of active constructive leadership and passive corrective leadership on collective organizational commitment

2016 ◽  
Vol 37 (7) ◽  
pp. 822-842 ◽  
Author(s):  
Feng Wei ◽  
Jean Lee ◽  
Ho Kwong Kwan
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Factor Structure ◽  
Structural Equation ◽  
Mutual Influence ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type ◽  
Member Exchange

Purpose The purpose of this paper is to test the factor structure of the multifactor leadership questionnaire (MLQ) in the Chinese context and determine whether leader-member exchange (LMX) mediates the effects of active constructive leadership (ACL) and passive corrective leadership (PCL) on subordinates’ organizational commitment at the group level. Design/methodology/approach Questionnaires were completed by two employee samples. The first sample consisted of 615 employees from five pharmaceutical companies. The second sample consisted of 676 employees from 144 teams. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to test the hypotheses. Findings The factor analysis results showed two types of leadership in the data: ACL and PCL. The structural equation modeling showed that LMX mediated the effect of leadership on collective organizational commitment. Research limitations/implications The data were cross-sectional in nature. Furthermore, leadership and LMX were both measured from the perspective of followers. Practical implications Managers must realize that leadership is an art that requires not only the self-cultivation of individual behavior, but also appropriate and intelligent conduct when interacting with followers. Team leaders also must pay attention to both their high quality relationships with subordinates and the mutual influence within their groups. Originality/value The current study makes an empirical contribution to the psychometric properties of the MLQ, suggesting a higher two-factor structure appropriate for Chinese employees. It also clarifies the relationships between leadership, LMX and organizational commitment at multiple levels.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

Cross-Lagged Relationships Between Self-Esteem, Self-Construal, and Happiness in a Three-Wave Longitudinal Study

2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc
Keyword(s):  
Structural Equation ◽  
Time Lag ◽  
Self Esteem ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Self Construal ◽  
Self Worth ◽  
Practical Implications ◽  
Independent Person

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

scholarly journals Sustainable Idea Development Mechanism in University Technology Commercialization (UTC): Perspectives from Dynamic Capabilities Framework

2019 ◽  
Vol 11 (21) ◽  
pp. 6156
Author(s):  
Insu Cho ◽  
Young Hoon Kwak ◽  
Jaehyeon Jun
Keyword(s):  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Technology Commercialization ◽  
Cross Sectional ◽  
University Policy ◽  
European Universities ◽  
University Technology ◽  
University Technology Commercialization ◽  
Development Mechanism

Universities pays a lot of attention and investment in the technology commercialization for its sustainable development and social contribution under Korean government-driven policies. However, when compared to US or European universities, the outcomes of the technology commercialization in universities are relatively inactive. Therefore, this study aims to propose a new idea-oriented framework of University-Technology Commercialization (UTC). To achieve this, this study explores the sustainable mechanism from idea to technology commercialization in the volatile environment by employing dynamic capabilities framework. This study employed structural equation modeling (SEM) to identify causal relationships among the variables with a 2014 to 2016 dataset from ‘Higher Education in KOREA’. This study collected national and cross-sectional data from different time periods to design our longitudinal study. Our study examines UTC activities related to sustainable idea development mechanism from dynamic capability framework. The results show the importance of start-up clubs as a first step for idea exploration in university technology commercialization and patents as important for both technology transfers and start-ups. Our findings offer new UTC directions for university policy makers.

Engaging leadership in the job demands-resources model

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli
Keyword(s):  
Structural Equation ◽  
Work Performance ◽  
Online Survey ◽  
Job Demands ◽  
Well Being ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.

Correlated personality change across time and age

2021 ◽  
pp. 089020702110140
Author(s):  
Gabriel Olaru ◽  
Mathias Allemand
Keyword(s):  
Structural Equation ◽  
Rank Order ◽  
Personality Development ◽  
The United States ◽  
Change Score ◽  
Personality Change ◽  
Equation Modeling ◽  
Model Parameters ◽  
Cross Sectional ◽  
Adult Lifespan

The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.

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