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An excess of positive results: Comparing the standard Psychology literature with Registered Reports
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When studies with positive results that support the tested hypotheses have a higher probability of being published than studies with negative results, the literature will give a distorted view of the evidence for scientific claims. Psychological scientists have been concerned about the degree of distortion in their literature due to publication bias and inflated Type-1 error rates. Registered Reports were developed with the goal to minimise such biases: In this new publication format, peer review and the decision to publish take place before the study results are known. We compared the results in the full population of published Registered Reports in Psychology (N = 71 as of November 2018) with a random sample of hypothesis-testing studies from the standard literature (N = 152) by searching 633 journals for the phrase ‘test* the hypothes*’ (replicating a method by Fanelli, 2010). Analysing the first hypothesis reported in each paper, we found 96% positive results in standard reports, but only 44% positive results in Registered Reports. The difference remained nearly as large when direct replications were excluded from the analysis (96% vs 50% positive results). This large gap suggests that psychologists underreport negative results to an extent that threatens cumulative science. Although our study did not directly test the effectiveness of Registered Reports at reducing bias, these results show that the introduction of Registered Reports has led to a much larger proportion of negative results appearing in the published literature compared to standard reports.

Subject:
Psychology
Social Science
Material Type:
Reading
Author:
Anne M. Scheel
Daniel Lakens
Mitchell Schijen
Date Added:
08/07/2020
The multiplicity of analysis strategies jeopardizes replicability: lessons learned across disciplines
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CC BY-NC-ND
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For a given research question, there are usually a large variety of possible analysis strategies acceptable according to the scientific standards of the field, and there are concerns that this multiplicity of analysis strategies plays an important role in the non-replicability of research findings. Here, we define a general framework on common sources of uncertainty arising in computational analyses that lead to this multiplicity, and apply this framework within an overview of approaches proposed across disciplines to address the issue. Armed with this framework, and a set of recommendations derived therefrom, researchers will be able to recognize strategies applicable to their field and use them to generate findings more likely to be replicated in future studies, ultimately improving the credibility of the scientific process.

Subject:
Social Science
Material Type:
Reading
Author:
Anne-Laure Boulesteix
Felix Schönbrodt
Ralf Elsas
Rory Wilson
Ulrich Strasser
Sabine Hoffman
Date Added:
11/13/2020
The short life of Anne Frank
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CC BY-NC-ND
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Anne Frank’s life is turned upside down when the war begins in the Netherlands, and she has to go into hiding in the Secret Annex. This lesson introduces students to Anne Frank and the history of her time. The students study and discuss Anne Frank’s life through interactive assignments, a video, and a timeline. They learn more about the Secret Annex, the lives of the people in hiding, the helpers, and Anne’s diary.

Subject:
History
World History
Material Type:
Lesson
Lesson Plan
Author:
Anne Frank House
Date Added:
10/24/2023
stream hydrology field lab
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CC BY-NC-SA
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In this lab we take a brief field trip to Adena Brook, a first order tributary of the Olentangy River in central Ohio. We observe the stream, its setting, its bedrock, determine some stream velocity profiles, and measure some basic chemical and physical properties of the stream water.

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Subject:
Biology
Life Science
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Anne Carey
Date Added:
08/11/2019