Statistical power of structural equation models in work-family research

2010 ◽  
Author(s):  
Richard Hermida
Keyword(s):  
Structural Equation ◽  
Statistical Power ◽  
Structural Equation Models ◽  
Family Research ◽  
Work Family

THE EFFECT OF WORK-FAMILY CONFLICT AND JOB INSECURITY ON INNOVATIVE BEHAVIOUR OF KOREAN WORKERS: THE MEDIATING ROLE OF ORGANISATIONAL COMMITMENT AND JOB SATISFACTION

2018 ◽  
Vol 22 (01) ◽  
pp. 1850003 ◽  
Author(s):  
SUK BONG CHOI ◽  
NICOLE CUNDIFF ◽  
KIHWAN KIM ◽  
SAJA NASSAR AKHATIB
Keyword(s):  
Job Satisfaction ◽  
Family Conflict ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Job Insecurity ◽  
Organisational Commitment ◽  
Work Family Conflict ◽  
Job Stressors ◽  
Innovative Behaviour ◽  
Work Family

South Korea is becoming an advanced economy based on continuous innovative organisational efforts. Job stressors have been identified in the literature as a major hindrance to many positive organisational behaviours. We predict that job insecurity and work–family conflict will have a negative effect on innovative behaviour with mediators of job satisfaction and organisational commitment. Results from structural equation models provided support for this study. From a practical perspective, the significant negative relationships between job stressors and innovative behaviour imply the need to reduce work–family conflict and feelings of job insecurity in Korean companies in order to foster innovation.

scholarly journals Parental criticism and adolescent internalising symptoms: Associations remain after accounting for shared genetic effects

2020 ◽  
Author(s):  
Yasmin I Ahmadzadeh ◽  
Thalia C Eley ◽  
Laurie J. Hannigan ◽  
Cathy Creswell ◽  
Paul Lichtenstein ◽  
...  
Keyword(s):  
Structural Equation ◽  
Statistical Power ◽  
Structural Equation Models ◽  
Genetic Relatedness ◽  
Genetic Effects ◽  
Psychosocial Effects ◽  
Parental Criticism ◽  
Adolescent Offspring ◽  
Children Of Twins ◽  
Small Models

AbstractObjectiveParental criticism is associated with internalising symptoms in adolescent offspring. It is unclear whether these behaviours cause one another, and/or whether they are influenced by shared genes in related parent-offspring pairs. We use an Extended Children of Twins design to assess whether parent-reported criticism and offspring internalising symptoms remain associated after controlling for shared genes. To aid interpretation of our results and those of previous Children of Twins studies, we examine statistical power for the detection of genetic effects and explore the direction of psychosocial influences between generations.MethodData were drawn from two Swedish twin samples, comprising 876 adult twin pairs with adolescent offspring and 1030 adolescent twin pairs with parents. Parents reported on criticism towards their offspring, concurrently with parent and offspring reports of adolescent internalising symptoms. Extended Children of Twins structural equation models were used to examine intergenerational social and genetic mechanisms.ResultsParental criticism was associated with adolescent internalising symptoms after controlling for genetic relatedness. No significant role was found for shared genes influencing phenotypes in both generations. Power analyses confirmed that any undetected genetic effects were small. Models could not distinguish the causal direction of possible psychosocial effects between generations.ConclusionThe association between parent-reported criticism and adolescent internalising symptoms is not attributable to genetic confounding in this sample. As such, parental criticism may be involved in psychosocial family processes in the context of adolescent internalising. Future studies should seek to identify these processes and provide clarity on the direction of potential causal effects.

Statistical Power of Structural Equation Models in Psychology: A Meta-Analysis

2011 ◽  
Author(s):  
Richard Hermida ◽  
Joseph Luchman ◽  
Vias Nicolaides ◽  
Cristina F. Wilcox
Keyword(s):  
Structural Equation ◽  
Statistical Power ◽  
Structural Equation Models ◽  
Meta Analysis

Statistical power of structural equation models in SCM research

2014 ◽  
Vol 20 (3) ◽  
pp. 208-212 ◽  
Author(s):  
Dominik F. Riedl ◽  
Lutz Kaufmann ◽  
Julia Gaeckler
Keyword(s):  
Structural Equation ◽  
Statistical Power ◽  
Structural Equation Models

Spousal Support and Work—Family Balance in Launching a Family Business

2009 ◽  
Vol 30 (8) ◽  
pp. 1098-1121 ◽  
Author(s):  
Clinton G. Gudmunson ◽  
Sharon M. Danes ◽  
James D. Werbel ◽  
Johnben Teik-Cheok Loy
Keyword(s):  
Family Business ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Spousal Support ◽  
Business Owners ◽  
Conservation Of Resources ◽  
Family Balance ◽  
Negative Effect ◽  
Work Family Balance ◽  
Work Family

This study examines whether emotional spousal support contributes to business owners' perceived work—family balance while launching a family business. Hobfoll's Conservation of Resources theory of stress is applied to 109 family business owners and their spouses. Results from structural equation models support several hypotheses. First, reports of spousal support given are strongly related to reports of support received, suggesting genuine interpersonal transactions of support. Second, the effects of spousal support are confounded until a satisfaction-with-business-communication variable is introduced, revealing competing direct and indirect effects on work—family balance. Finally, business owner work hours have an additive negative effect on work—family balance, suggesting multiple means for maintaining work—family balance.

Measuring the Big Five in Self-Report and Other Ratings

2000 ◽  
Vol 16 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Claudio Barbaranelli ◽  
Gian Vittorio Caprara
Keyword(s):  
Big Five ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Error Variance ◽  
The Self ◽  
Self Report ◽  
Sources Of Information ◽  
Third Person ◽  
Fit Indexes ◽  
Response Modes

Summary: The aim of the study is to assess the construct validity of two different measures of the Big Five, matching two “response modes” (phrase-questionnaire and list of adjectives) and two sources of information or raters (self-report and other ratings). Two-hundred subjects, equally divided in males and females, were administered the self-report versions of the Big Five Questionnaire (BFQ) and the Big Five Observer (BFO), a list of bipolar pairs of adjectives ( Caprara, Barbaranelli, & Borgogni, 1993 , 1994 ). Every subject was rated by six acquaintances, then aggregated by means of the same instruments used for the self-report, but worded in a third-person format. The multitrait-multimethod matrix derived from these measures was then analyzed via Structural Equation Models according to the criteria proposed by Widaman (1985) , Marsh (1989) , and Bagozzi (1994) . In particular, four different models were compared. While the global fit indexes of the models were only moderate, convergent and discriminant validities were clearly supported, and method and error variance were moderate or low.

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