scholarly journals Validation of the COVID-19 Disbelief Scale: Conditional indirect effects of religiosity and COVID-19 fear on intent to vaccinate

2021 ◽  
pp. 103382
Author(s):  
Stephen Bok ◽  
Daniel E. Martin ◽  
Maria Lee
2019 ◽  
Vol 4 (1) ◽  
pp. 98-106 ◽  
Author(s):  
Jameson K. Hirsch ◽  
Jessica Kelliher Rabon ◽  
Esther E. Reynolds ◽  
Alison L. Barton ◽  
Edward C. Chang

2018 ◽  
Vol 18 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Muhammad Ali

Purpose Board size is an important dimension of corporate governance. The purpose of this study is to propose and test indirect effects of organization size on organizational performance via board size, in the context of industry. Design/methodology/approach The study’s predictions were tested in 288 medium and large organizations listed on the Australian Securities Exchange using archival data. Findings The findings of this study suggest the following: organization size is positively associated with board size and this relationship is stronger in manufacturing organizations; board size is positively associated with performance and this relationship is conditional on industry; and organization size has an indirect effect on performance via board size, and this indirect effect is also conditional on industry. Research limitations/implications The results provide some support for the resource dependency theory, agency theory and contingency theory. Practical implications The findings suggest that directors should take into account the effects of board size and industry to provide a more precise assessment of the board’s performance. Originality/value It predicts and tests the pioneering moderating effect of industry (manufacturing vs services) on the organization size–board size, board size–organizational performance and organization size–board size–organizational performance relationships.


2018 ◽  
Vol 45 (7) ◽  
pp. 2952-2977 ◽  
Author(s):  
Benjamin M. Walsh ◽  
Russell A. Matthews ◽  
Tatiana H. Toumbeva ◽  
Dana Kabat-Farr ◽  
Jenna Philbrick ◽  
...  

Family-supportive supervision benefits employees in many ways. But what are the implications for the supervisors themselves, particularly when this support is not extended? Drawing on social exchange theory, we frame family-supportive supervision as a desirable resource that when withheld may trigger negative social responses from employees. We hypothesize that workplace ostracism is a mechanism through which employees sanction supervisors who fail to be family-supportive, thereby harming supervisor well-being. Study 1 captured the employee perspective and utilized an experimental design to understand whether employees engage in ostracism in response to a lack of family-supportive supervision. In Study 2, we captured the supervisor perspective with multisource data to examine whether supervisors report ostracism and in turn lower subjective well-being when employees report a lack of family-supportive supervision. Consistent findings were observed across studies, suggesting negative outcomes for supervisors who fail to be family-supportive. In Study 2, we also examined moderators of the relationship between failing to be family-supportive and workplace ostracism and potential conditional indirect effects. However, we did not find evidence of such effects. Theoretical implications for the study of family-supportive supervision and workplace ostracism are discussed.


2016 ◽  
Vol 23 (7) ◽  
pp. 682-691 ◽  
Author(s):  
Julia E. Morgan ◽  
Steve S. Lee ◽  
Sandra K. Loo

Objective: We tested mediation of birth weight and ADHD symptoms by multiple biologically plausible neurocognitive functions and evaluated familiality of observed indirect effects. Method: 647 youth from 284 multiplex families with ADHD completed the Arithmetic, Digit Span, Vocabulary, and Block Design subtests of the Wechsler Intelligence Scale for Children (WISC). Multiple mediation tested WISC subtests as mediators of birth weight and multi-informant ADHD symptoms. Familiality of indirect effects was estimated via moderated mediation comparing conditional indirect effects across siblings concordant and discordant for ADHD. Results: Controlling for IQ and demographic factors, Arithmetic uniquely mediated birth weight and ADHD symptoms. Conditional indirect effects through Arithmetic did not differ across ADHD concordant and discordant siblings. Conclusion: These cross-sectional findings support previous prospective longitudinal research implicating Arithmetic (i.e., fluid reasoning) as a preliminary causal mediator of birth weight and ADHD symptoms, and suggest that this pathway is independent of genetic influences on ADHD.


2021 ◽  
Author(s):  
Samuel Donnelly ◽  
Terrence D. Jorgensen ◽  
Cort Rudolph

Conceptual and statistical models that include conditional indirect effects (i.e., so-called “moderated mediation” models) are increasingly popular in the behavioral sciences. Although there is ample guidance in the literature for how to specify and test such models, there is scant advice regarding how to best design studies for such purposes, and this especially includes techniques for sample size planning (i.e., “power analysis”). In this paper, we discuss challenges in sample size planning for moderated mediation models and offer a tutorial for conducting Monte Carlo simulations in the specific case where one has categorical exogenous variables. Such a scenario is commonly faced when one is considering testing conditional indirect effects in experimental research, wherein the (assumed) predictor and moderator variables are manipulated factors and the (assumed) mediator and outcome variables are observed/measured variables. To support this effort, we offer example data and reproducible R code that constitutes a “toolkit” to aid researchers in the design of research to test moderated mediation models.


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