6 research outputs found

    Creative destruction in science

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    Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents\u2019 reasoning about day care options, and gender discrimination in hiring decisions. Significance statement It is becoming increasingly clear that many, if not most, published research findings across scientific fields are not readily replicable when the same method is repeated. Although extremely valuable, failed replications risk leaving a theoretical void\u2014 reducing confidence the original theoretical prediction is true, but not replacing it with positive evidence in favor of an alternative theory. We introduce the creative destruction approach to replication, which combines theory pruning methods from the field of management with emerging best practices from the open science movement, with the aim of making replications as generative as possible. In effect, we advocate for a Replication 2.0 movement in which the goal shifts from checking on the reliability of past findings to actively engaging in competitive theory testing and theory building. Scientific transparency statement The materials, code, and data for this article are posted publicly on the Open Science Framework, with links provided in the article

    A Randomized Crossover Comparison between Team-Based Learning and Lecture Format on Long-Term Learning Outcomes

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    There are limited data evaluating the effectiveness of different teaching pedagogies to maintain gains in learning achieved over the short term. The purpose of this study is to compare long-term learning outcomes between two different teaching pedagogies, team-based learning (TBL) and lecture. Within a therapeutic elective course a randomized crossover study was conducted with 30 students divided into two sections. Each section was taught six therapeutic topics (three TBL and three lecture). Six months following completion of the course, 47 assessment questions (application and recall multiple-choice questions) were re-administered to 16 students from the class with no prior announcement of the assessment. The results showed no significant difference in long-term assessment scores between TBL and lecture formats (67 ± 14% vs. 63 ± 16%, p = 0.2, respectively). In addition, there was a significant (p < 0.0001) and similar decline in short-term gains for TBL (90 ± 9% vs. 67 ± 14%) and lecture (86 ± 11% vs. 63 ± 16%) in assessment scores. In conclusion, there was no advantage gained by employing an active-learning pedagogy when assessing multiple-choice questions six months following end of a therapeutics course in a limited sample size. Neither pedagogy was able to maintain short-term gains in learning outcomes as assessed by multiple-choice questions

    Template Language & Model Procedures for Seeking Permission to Share Data

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    IRBs and Best Practices for Ethical Data Sharing

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    Materials associated with 2017-07-30 sessio
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