Results 31 to 40 of about 120,829 (277)
Frontiers in Neuroinformatics, 2021 Classical null hypothesis significance testing is limited to the rejection of the point-null hypothesis; it does not allow the interpretation of non-significant results. This leads to a bias against the null hypothesis.
Ruslan Masharipov +6 more
doaj +1 more source
Judgment and Decision Making, 2011 Judgment and decision making research overwhelmingly uses null hypothesis significance testing as the basis for statistical inference. This article examines an alternative, Bayesian approach which emphasizes the choice between two competing hypotheses ...
William J. Matthews +2 more
doaj +1 more source
On the Influence of Religious Assumptions in Statistical Methods Used in Science
Religions, 2020 For several centuries, statistical testing has been used to support evolutionary theories. Given the diverse origins and applications of these tests, it is remarkable how consistent they are.
Cornelius Hunter
doaj +1 more source
Teaching & Learning Inquiry: The ISSOTL Journal, 2016 Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine
April McGrath
doaj +1 more source
SA Journal of Industrial Psychology, 2019 Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most important causes of the emerging crisis over the credibility and reproducibility of our science.
Kevin R. Murphy
doaj +1 more source
On the Importance of Modeling the Invisible World of Underlying Effect Sizes
Social Psychological Bulletin, 2023 The headline findings from the Open Science Collaboration (2015)―namely, that 36% of original experiments replicated at p < .05, with the overall replication effect sizes being half as large as the original effects―cannot be meaningfully interpreted ...
Brent M. Wilson, John T. Wixted
doaj +1 more source
Null Hypothesis Significance Testing: A Brief Review
, 2021 Null hypothesis significance testing (NHST) dominates the interpretation of quantitative data analysis in education, psychology, and other social science fields (Shaver, 1993). Meanwhile, the use of NHST has been under enduring and intense criticisms (Carver, 1978; Cohen, 1997; Cumming, 2013; Thompson, 1993, 1996, 1999). In 2015, the journal, Basic and
openaire +2 more sources
Overview on the Null Hypothesis Significance Test
, 2021 For decades, waxing and waning, there has been an ongoing debate on the values and problems of the ubiquitously used null hypothesis significance test (NHST). With the start of the replication crisis, this debate has flared-up once again, especially in the psychology and psychological methods literature.
Noah van Dongen, Leonie van Grootel
openaire +2 more sources
The harmful effect of null hypothesis significance testing on marketing research: an example [PDF]
, 2021 Null hypothesis significance testing (NHST) has had and continues to have an adverse effect on marketing research. The most recent American Statistical Association (ASA) statement recognized NHST’s invalidity and thus recommended abandoning it in 2019 ...
Trafimow, David +4 more
core +1 more source
, 2014 Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson significance-testing approach.
Wilkinson, Mick
core +1 more source