Making the A Priori Procedure Work for Differences Between Means

Bibliographic Data

ID20471983
AuthorsDavid Trafimow (0000-0002-0788-8044, New Mexico State University, Las Cruces, NM, USA, corresponding author), Cong Wang (0000-0002-1498-7104, New Mexico State University, Las Cruces, NM, USA), Tonghui Wang (0000-0002-5027-1541, New Mexico State University, Las Cruces, NM, USA)
Year2019
Volume80
Issue1
Pages186-198
Publication date2019-05-14
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0013164419847509
PMID31933498
OpenAlexW2946492985
LanguageEN
Citations received2
References cited7

Previous researchers have proposed the a priori procedure, whereby the researcher specifies, prior to data collection, how closely she wishes the sample means to approach corresponding population means, and the degree of confidence of meeting the specification. However, an important limitation of previous research is that researchers sometimes are interested in differences between means, rather than in the means themselves. To address this limitation, we propose additional equations that expand the a priori procedure to handle differences between means, both in matched and in independent samples. Finally, implications are discussed

A priori and a posteriori · Data collection · Degree (music) · Epistemology · Population · Sample (material) · Statistics · Work (physics) · Bayesian Modeling and Causal Inference · Computer Science · Engineering · Mathematics · Medicine · Multi-Criteria Decision Making · Optimal Experimental Design Methods · Psychology

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