When ANOVA gets it wrong: A re-introduction to the Regression Discontinuity design

Bastardoz, Nicolas; Jacquart, Philippe; Antonakis, John

doi:10.5465/ambpp.2017.10996abstract

Cited by 4 publications

(4 citation statements)

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“…Finally, our study is among the few in management and applied psychology to utilize RDD (Bastardoz et al, 2017). In doing so, we advance prior disability research which, to the best of our knowledge, has not yet decisively addressed the problem of endogeneity bias and lacking causality.…”

Section: Discussionmentioning

confidence: 99%

“…The RDD mimics an experiment in a non-experimental setting and is therefore often used in other social disciplines for making causal inferences (Lee and Lemieux, 2010). Given that there are only a few applications of the RDD in applied psychology and management journals (Bastardoz et al, 2017; Sieweke and Santoni, 2020), we provide a detailed description of why our study setting produces conditions that are appropriate for the application of this quasi-experimental study design.…”

Section: Methodsmentioning

confidence: 99%

“…a regression discontinuity design (RDD)). This method is popular in other social disciplines for making causal claims (Lee and Lemieux, 2010), yet largely unknown to management scholars (Bastardoz et al, 2017). This is important for two reasons.…”

Section: Introductionmentioning

confidence: 99%

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No such thing as a free ride: The impact of disability labels on relationship building at work

Brzykcy

Boehm

2021

Human Relations

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Do disability legislations that are meant to be beneficial for the employment situation of persons with disabilities have nevertheless unintended negative consequences? To provide key resources such as the right to workplace accommodation, governmental agencies first need to identify eligible persons and label them accordingly. However, this label may, in turn, induce public and self stigma that entails negative consequences for labeled individuals. We address this puzzle using a quasi-experimental study design: sharp regression discontinuity design. Specifically, we examine whether individuals officially labeled as “severely disabled” perceive fewer opportunities for relationship building at work than their counterparts with a similarly severe, yet unlabeled, disability condition. We use data from 845 employees with disabilities, which was drawn from a representative German workforce data set. As expected, labeling leads to perceptions of fewer opportunities for relationship building. We find this effect to be independent from supervisor knowledge of subordinate disability, type of disability, and one’s visibility of disability. These robustness checks strengthen the argument that the labeling effect might be driven primarily by self stigma rather than public stigma. Implications for organizations and public authorities are discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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No such thing as a free ride: The impact of disability labels on relationship building at work

Brzykcy

Boehm

2021

Human Relations

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“…Using close-call elections is one way to model a RDD. There are, however, many ways in which RDD can be implemented by using premeasured assignment variables in time and space, or even truly exogenous shocks (for ideas, see Bastardoz et al, 2017).…”

Section: Regression Discontinuity Designmentioning

confidence: 99%

On doing relevant and rigorous experiments: Review and recommendations

Lonati

Quiroga

Zehnder

et al. 2018

J of Ops Management

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194

158

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Although experiments are the gold standard for establishing causality, several threats can undermine the internal validity of experimental findings. In this article, we first discuss these threats, which include the lack of consequential decisions and outcomes, deception, demand effects and unfair comparisons, as well as issues concerning statistical validity (e.g., minimum sample size per cell, estimating variance correctly). We expose each problem, show potential solutions, and bring to the fore issues of relevance of the findings (i.e., external and ecological validity). Thereafter, we take stock of the state‐of‐the‐science regarding validity threats using a representative sample of 468 recent experiments from 258 articles published in top‐tier journals. We compare research practices in three fields of study—management, social psychology, and economics, which regularly use experimental research—to operations management, which has more recently begun to use the experimental paradigm. Our results underscore the importance for journals and authors to follow what we identify to be best‐practice methodological suggestions (i.e., the “ten commandments” of experimental research). We show that—on average—markers of methodological rigor and generalizability positively and significantly predict the citations received by published articles. Finally, given that experiments are infeasible in some settings, we conclude with a brief review of often overlooked quasi‐experimental designs, which are useful for generating strong counterfactuals and hence allow making causal claims in the field.

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Leadership in Sport

Arthur

Bastardoz

2020

Handbook of Sport Psychology

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When ANOVA gets it wrong: A re-introduction to the Regression Discontinuity design

Cited by 4 publications

References 0 publications

No such thing as a free ride: The impact of disability labels on relationship building at work

No such thing as a free ride: The impact of disability labels on relationship building at work

On doing relevant and rigorous experiments: Review and recommendations

Leadership in Sport

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