Literature DB >> 31976419

Improving Psychological Science through Transparency and Openness: An Overview.

Andrew H Hales1, Eric D Wesselmann2, Joseph Hilgard2.   

Abstract

The ability to independently verify and replicate observations made by other researchers is a hallmark of science. In this article, we provide an overview of recent discussions concerning replicability and best practices in mainstream psychology with an emphasis on the practical benefists to both researchers and the field as a whole. We first review challenges individual researchers face in producing research that is both publishable and reliable. We then suggest methods for producing more accurate research claims, such as transparently disclosing how results were obtained and analyzed, preregistering analysis plans, and publicly posting original data and materials. We also discuss ongoing changes at the institutional level to incentivize stronger research. These include officially recognizing open science practices at the journal level, disconnecting the publication decision from the results of a study, training students to conduct replications, and publishing replications. We conclude that these open science practices afford exciting low-cost opportunities to improve the quality of psychological science. © Association for Behavior Analysis International 2018.

Keywords:  Meta-analysis; Preregistration; Replication; Reproducibility

Year:  2018        PMID: 31976419      PMCID: PMC6701696          DOI: 10.1007/s40614-018-00186-8

Source DB:  PubMed          Journal:  Perspect Behav Sci        ISSN: 2520-8969


  6 in total

1.  Understanding Speech Amid the Jingle and Jangle: Recommendations for Improving Measurement Practices in Listening Effort Research.

Authors:  Julia F Strand; Lucia Ray; Naseem H Dillman-Hasso; Jed Villanueva; Violet A Brown
Journal:  Audit Percept Cogn       Date:  2021-03-23

2.  The Vaccination Concerns in COVID-19 Scale (VaCCS): Development and validation.

Authors:  Kyra Hamilton; Martin S Hagger
Journal:  PLoS One       Date:  2022-03-14       Impact factor: 3.240

3.  Monte Carlo Analyses for Single-Case Experimental Designs: An Untapped Resource for Applied Behavioral Researchers and Practitioners.

Authors:  Jonathan E Friedel; Alison Cox; Ann Galizio; Melissa Swisher; Megan L Small; Sofia Perez
Journal:  Perspect Behav Sci       Date:  2021-11-24

4.  A Priori Justification for Effect Measures in Single-Case Experimental Designs.

Authors:  Rumen Manolov; Mariola Moeyaert; Joelle E Fingerhut
Journal:  Perspect Behav Sci       Date:  2021-03-25

5.  Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research.

Authors:  Art Dowdy; Donald A Hantula; Jason C Travers; Matt Tincani
Journal:  Perspect Behav Sci       Date:  2021-07-21

6.  The consecutive controlled case series: Design, data-analytics, and reporting methods supporting the study of generality.

Authors:  Louis P Hagopian
Journal:  J Appl Behav Anal       Date:  2020-03-03
  6 in total

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