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Marcus M. Butts

Bio: Marcus M. Butts is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Organizational commitment & Job satisfaction. The author has an hindex of 25, co-authored 45 publications receiving 5431 citations. Previous affiliations of Marcus M. Butts include University of Georgia & University of Texas at Arlington.

Papers
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TL;DR: In this article, the authors trace four widely cited and reported cutoff criteria to their (alleged) original sources to determine whether they really said what they are cited as having said about the cutoff criteria, and if not, what the original sources really said.
Abstract: Everyone can recite methodological “urban legends” that were taught in graduate school, learned over the years through experience publishing, or perhaps just heard through the grapevine. In this article, the authors trace four widely cited and reported cutoff criteria to their (alleged) original sources to determine whether they really said what they are cited as having said about the cutoff criteria, and if not, what the original sources really said. The authors uncover partial truths in tracing the history of each cutoff criterion and in the end endorse a set of 12 specific guidelines for effective academic referencing provided by Harzing that, if adopted, should help prevent the further perpetuation of methodological urban legends.

1,708 citations

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TL;DR: This article examined three classes of career competencies proposed as important predictors of success in the boundaryless career: perceived career satisfaction, perceived internal marketability, and perceived external marketability.
Abstract: Summary The present study examines three classes of career competencies proposed as important predictors of success in the boundaryless career. Three criteria of career success were examined: perceived career satisfaction, perceived internal marketability, and perceived external marketability. Using data from 458 alumni from a large southeastern university, predictions were tested using partial correlations and dominance analysis. The results found support for the importance of ‘knowing why,’ ‘knowing whom,’ and ‘knowing how’ as suggested by previous theoretical work. The findings are discussed in reference to future research and theorizing on the boundaryless career. Copyright # 2003 John Wiley & Sons, Ltd.

785 citations

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TL;DR: This article found that organizational climate made a significant contribution to safety climate, even after controlling for the other more safety-relevant variables, such as environmental conditions, safety-related policies and programs, and general organizational climate, accounted for 55% of the variance in perceived safety.

407 citations

Posted Content
TL;DR: Tests of differences in effect sizes showed that policy availability was more strongly related to job satisfaction, affective commitment, and intentions to stay than was policy use, and number of policies and sample characteristics moderated the effects of policy availability and use on outcomes.
Abstract: This meta-analysis examines relationships between work-family support policies, which are policies that provide support for dependent care responsibilities, and employee outcomes by developing a conceptual model detailing the psychological mechanisms through which policy availability and use relate to work attitudes. Bivariate results indicated that availability and use of work-family support policies had modest positive relationships with job satisfaction, affective commitment, and intentions to stay. Further, tests of differences in effect sizes showed that policy availability was more strongly related to job satisfaction, affective commitment, and intentions to stay than was policy use. Subsequent meta-analytic structural equation modeling results indicated that policy availability and use had modest effects on work attitudes, which were partially mediated by family-supportive organization perceptions and work-to-family conflict, respectively. Additionally, number of policies and sample characteristics (percent women, percent married-cohabiting, percent with dependents) moderated the effects of policy availability and use on outcomes. Implications of these findings and directions for future research on work-family supportpolicies are discussed.

297 citations

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TL;DR: In this paper, a multilevel model that examines the effects of employee involvement climate on the individual-level process linking employee regulatory focus (promotion and prevention) to innovation via thriving was proposed and tested.

286 citations


Cited by
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TL;DR: The theme of the volume is that it is human to have a long childhood which will leave a lifelong residue of emotional immaturity in man.
Abstract: Erik Eriksen is a remarkable individual. He has no college degrees yet is Professor of Human Development at Harvard University. He came to psychology via art, which explains why the reader will find him painting contexts and backgrounds rather than stating dull facts and concepts. He has been a training psychoanalyst for many years as well as a perceptive observer of cultural and social settings and their effect on growing up. This is not just a book on childhood. It is a panorama of our society. Anxiety in young children, apathy in American Indians, confusion in veterans of war, and arrogance in young Nazis are scrutinized under the psychoanalytic magnifying glass. The material is well written and devoid of technical jargon. The theme of the volume is that it is human to have a long childhood which will leave a lifelong residue of emotional immaturity in man. Primitive groups and

4,595 citations

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3,628 citations

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TL;DR: The use of interrater reliability (IRR) and intra-arrater agreement (IRA) indices has increased dramatically during the past 20 years as mentioned in this paper, at least in part because of the increased role of multilevel modeling techniques (e.g., hierarchical linear modeling and multi-level structural equation modeling) in organizational research.
Abstract: The use of interrater reliability (IRR) and interrater agreement (IRA) indices has increased dramatically during the past 20 years. This popularity is, at least in part, because of the increased role of multilevel modeling techniques (e.g., hierarchical linear modeling and multilevel structural equation modeling) in organizational research. IRR and IRA indices are often used to justify aggregating lower-level data used in composition models. The purpose of the current article is to expose researchers to the various issues surrounding the use of IRR and IRA indices often used in conjunction with multilevel models. To achieve this goal, the authors adopt a question-and-answer format and provide a tutorial in the appendices illustrating how these indices may be computed using the SPSS software.

2,775 citations