Results 71 to 80 of about 6,626,690 (175)

Three-Sided Testing to Establish Practical Significance: A Tutorial

Advances in Methods and Practices in Psychological Science
Researchers may want to know whether an observed statistical relationship is either meaningfully negative, meaningfully positive, or small enough to be considered practically equivalent to zero.
Peder Mortvedt Isager, Jack Fitzgerald
doaj   +1 more source

Commentary: Psychological Science's Aversion to the Null

Frontiers in Psychology, 2017
Jose D. Perezgonzalez, Dolores Frías-Navarro, Juan Pascual-Llobell   +2 more
doaj   +1 more source

Teaching Bayesian Parameter Estimation, Bayesian Model Comparison and Null Hypothesis Significance Testing Using Spreadsheets

Spreadsheets in Education, 2012
Learning statistics is often characterized by tedium and frustration. To make matters worse, pervasive misunderstandings of conditional probabilities often impede learning.
Christopher R Fisher, Christopher R Wolfe   +1 more
doaj  

Unraveling the Mystery of Equality in the Null Hypothesis: How Using Inequality Enhances Conceptual Understanding of Hypothesis Testing for Our Introductory Students

Journal of Statistics and Data Science Education
This article recommends a refinement in teaching hypothesis testing in introductory, non-calculus-based statistics courses, focusing on how the null hypothesis is formulated in mean and proportion inference.
Mortaza Jamshidian, Parsa Jamshidian
doaj   +1 more source

Artificial intelligence and dichotomania

Judgment and Decision Making
Large language models (LLMs) such as ChatGPT, Gemini, and Claude are increasingly being used in aid or place of human judgment and decision making. Indeed, academic researchers are increasingly using LLMs as a research tool.
Blakeley B. McShane, David Gal, Adam Duhachek   +2 more
doaj   +1 more source

Separating Misapplication From Method in Null Hypothesis Significance Testing

Null Hypothesis Significance Testing (NHST) remains the cornerstone of hypothesis testing in management research, yet it faces enduring critiques regarding its scientific limitations.
Holgersen, Lau, Wulff, Jesper N., Lakens, Daniël; id_orcid   +2 more
core   +1 more source

Necessary Condition Analysis: Type I Error, Power, and Over-Interpretation of Test Results. A Reply to a Comment on NCA. Commentary: Predicting the Significance of Necessity

Frontiers in Psychology, 2019
Jan Dul, Erwin van der Laan, Roelof Kuik, Maciej Karwowski   +3 more
doaj   +1 more source

Design and analysis of behavioral intervention studies: A Bayesian approach.

PLoS ONE
To study the effect of a behavioral intervention, it should be compared to a control or an existing treatment in an intervention study. There exist many guidelines in the literature about the design and analysis of intervention studies, including ...
Camila Natalia Barragan Ibañez, Ulrich Lösener, Nnamdi Moeteke, Mirjam Moerbeek   +3 more
doaj   +1 more source

Misinterpreting a Failure to Disconfirm as a Confirmation: A Recurrent Misreading of Significance Tests [PDF]

When a significance test fails to disconfirm a hypothesis economist often interpret this as evidence that this hypothesis is valid. Six such examples are cited from recent journals.
Thomas Mayer
core  

Asymptotic null distributions of stationarity and nonstationarity [PDF]

The purpose of this paper is to investigate the asymptotic null distribution of stationarity and nonstationarity tests when the distribution of the error term belongs to the normal domain of attraction of a stable law in any finite sample but the error ...
Nunzio Cappuccio, Diego Lubian
core