Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research

@article{Levine2002EtaSP,
  title={Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research},
  author={Timothy R. Levine and Craig R. Hullett},
  journal={Human Communication Research},
  year={2002},
  volume={28},
  pages={612-625}
}
Communication researchers, along with social scientists from a variety of disciplines, are increasingly recognizing the importance of reporting effect sizes to augment significance tests. Serious errors in the reporting of effect sizes, however, have appeared in recently published articles. This article calls for accurate reporting of estimates of effect size. Eta squared (η 2 ) is the most commonly reported estimate of effect sized for the ANOVA. The classical formulation of eta squared… 

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References

SHOWING 1-10 OF 21 REFERENCES

Magnitudes of Experimental Effects in Social Science Research

How the magnitude of an experimental effect may be measured has been a matter of concern for at least two decades. The phenomenon of effect size is still not well under stood, and it cannot be

The Eta Coefficient in Complex Anova Designs

Tms paper advances several considerations for the use and interpretation of the eta coefficient (7]), or correlation ratio, as a postmortem measure of association for comparative experiments. There

Multiple Regression in Behavioral Research.

One of the dilemmas facing those who teach sociological methods and statistics these days is how to present the three main applied analytical models which derive from the general linear

The Effects of Expectancies and Actual Communication on Nonverbal Adaptation and Communication Outcomes: A Test of Interaction Adaptation Theory.

Guided by interaction adaptation theory, this work continues a tradition of examining the relative effects of cognitive expectancies and actual communication behavior on communication outcomes.

Designing Experiments and Analyzing Data

The authors have attempted to create a text on experimental design that can be used either as a textbook or as a reference book and the method is unique to most texts on research design, and the information presented is more conceptual than computational.

Foundations of Behavioral Research

First published in 1964, this text has set the standard for other texts in the field of behavioral research methodology. It emphasises the fundamentals of understanding how to solve a scientific

Quantitative Methods of Calculating the d' of Signal Detection Theory

Formulas were derived which should be useful with various types of data which were derived to overcome the large expenditure of time and effort required to generate an ROC curve.

Statistical Methods for the Social Sciences

1.Introduction 1.1 Introduction to statistical methodology 1.2 Descriptive statistics and inferential statistics 1.3 The role of computers in statistics 1.4 Chapter summary 2. Sampling and

Contrast Analysis: Focused Comparisons in the Analysis of Variance

Preface 1. Why contrasts? 2. One-way analysis 3. Two-factor studies 4. Wired-in, pre-analyses, multiples and proportions 5. Repeated-measures designs 6. Mixed sources of variance 7. Practical issues

Statistics As Principled Argument

Contents: Preface. Abelson's Laws. Making Claims With Statistics. Elementary Arguments and the Role of Chance. Magnitude of Effects. Styles of Rhetoric. On Suspecting Fishiness. Articulation of