A power‐analytic examination of contemporary communication research

Chase, Lawrence J.; Tucker, Raymond K.

doi:10.1080/03637757509375874

Cited by 48 publications

(24 citation statements)

References 14 publications

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“…nication (e.g., Chase & Tucker, 1975;Katzer & Sodt, 1973), and marketing (e.g., Sawyer & Ball, 1981). In general, the common finding of these power assessments is that insufficient statistical power plagues research in these diverse areas of study.…”

mentioning

confidence: 99%

Statistical Power and the Testing of Null Hypotheses: A Review of Contemporary Management Research and Recommendations for Future Studies

Cashen

Geiger

2004

Organizational Research Methods

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confidence: 99%

Statistical Power and the Testing of Null Hypotheses: A Review of Contemporary Management Research and Recommendations for Future Studies

Cashen

Geiger

2004

Organizational Research Methods

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“…Despite its importance, however, effect size has long been neglected by researchers (see, for example, Bakan 1967, Brewer 1972, Chase and Tucker 1975, Cohen 1962, 1990, Crookes 1991, Shaver 1993. A perusal of the journals in the behavioural sciences indicates that researchers have often failed to discuss what they consider to be a meaningful difference (a priori effect size), and thus whether the findings meet the expectation of what this 'meaningful difference' should be is also seldom discussed.…”

Section: Factors Affecting Adequate Sample Sizementioning

confidence: 99%

Conducting tests of hypotheses: The need for an adequate sample size

Asraf

Brewer

2004

Aust. Educ. Res.

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This article addresses the importance of obtaining a sample of an adequate size for the purpose of testing hypotheses. The logic underlying the requirement for a minimum sample size for hypothesis testing is discussed, as well as the criteria for determining it. Implications for researchers working with convenient samples of a fixed size are also considered, and suggestions are given about the steps that should be taken when they are not able to obtain a large enough sample. Finally, the implications of not having an adequate sample size for hypothesis testing are discussed to highlight the importance of determining sample size prior to conducting one's study.

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“…In 1962, Cohen showed in a famous article that most research in abnormal social psychology was severely underpowered and actually led to the failure to reject null hypotheses which were actually false (Cohen, 1962). Following Cohen, many studies on statistical power have been conducted in psychological research (Brewer, 1972;Katzer and Sodt, 1973;Haase, 1974;Chase and Tucker, 1975;Kroll and Chase, 1975;Chase and Baran, 1976;Sawyer and Ball, 1981;Sedlmeier and Gigerenzer, 1989). The result of these surveys is alarming, because they point out that a large part of experimental research reveal effects that are actually false, due to statistical underpower.…”

Section: The Birth Of a Long-standing Statistical Controversy In Psycmentioning

confidence: 99%

Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics

Vallois

Jullien

2018

SSRN Journal

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Abstract.Experimental economists increasingly apply econometric techniques to interpret their data, as suggests the emergence of "experimetrics" in the 2000s. Yet statistics remains a minor topic in historical and methodological writings on experimental economics (EE). This article aims to address this lacuna .To do so, we analyze the use of statistical tools in EE from early economics experiments of the 1940s-1950s to the present days. Our narrative is based on qualitative analysis of papers published in early periods and quantitative analysis of papers published in more recent periods. Our results reveal a significant change in EE' statistical methods, namely an evolution from purely descriptive methods to more sophisticated and standardized techniques. We also highlight that, despite the decisive role played by statistics in the way EE estimate the rationality of individuals or markets, statistics are still considered as involving non-methodological issues, i.e., as involving only purely technical issues. Our historical analysis shows that this technical conception was the result of a longrun evolution of the process of scientific legitimization of EE, which allowed experimental economists to escape from psychologist's more reflexive culture toward statistics.

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A power‐analytic examination of contemporary communication research

Cited by 48 publications

References 14 publications

Statistical Power and the Testing of Null Hypotheses: A Review of Contemporary Management Research and Recommendations for Future Studies

Statistical Power and the Testing of Null Hypotheses: A Review of Contemporary Management Research and Recommendations for Future Studies

Conducting tests of hypotheses: The need for an adequate sample size

Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics

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