# THINGS I HAVE LEARNED (SO FAR)

@article{Cohen1990THINGSIH, title={THINGS I HAVE LEARNED (SO FAR)}, author={Jacob Cohen}, journal={Anales De Psicologia}, year={1990}, volume={8}, pages={3-18} }

This is an account of what I have learned (so far) about the application of statistics to psychology and the other sociobiomedical sciences. It includes the principles "less is more" (fewer variables, more highly targeted issues, sharp rounding off), "simple is better" (graphic representation, unit weighting for linear composites), and "some things you learn aren't so." I have learned to avoid the many misconceptions that surround Fisherian null hypothesis testing. I have also learned the…

## 1,618 Citations

“Some Things You Learn Aren't So”: Cohen's Paradox, Asch's Paradigm, and the Interpretation of Interaction

- Medicine
- 1995

The way in which the ANOVA model enables us to take apart a table of group means or the individual measurements contributing to the means to reveal the underlying components is reviewed.

Some Basic Issues for Clinicians Concerning Things Statistical

- MedicineInternational Psychogeriatrics
- 2000

The focus of this article is to identify and explain, for the clinician consumer of the literature, four basic but often overlooked issues in statistics (as practiced in today's medical and social science journals).

Perspectives on significance testing

- Education
- 2007

Null hypothesis significance testing is the staple of psychological research. It is a technique so ingrained in the teaching of psychological research methods that we rarely have cause to question…

Some Thoughts about Conservative Evaluations of Replications

- Psychology
- 1992

It is suggested that an unduly conservative research tradition operates in social psychology to heighten the perception of inconsistency in research replications. In large part, this tradition,…

Theory Psychology Charles Lambdin not significance tests are − − Significance tests as sorcery : Science is empirical

- Psychology
- 2012

Since the 1930s, many of our top methodologists have argued that significance tests are not conducive to science. Bakan (1966) believed that “everyone knows this” and that we slavishly lean on the…

Perspectives on Singnificance testing

- Education
- 2007

Null hypothesis significance testing is the staple of psychological research. It is a technique so ingrained in the teaching of psychological research methods that we rarely have cause to question…

Significance tests as sorcery: Science is empirical—significance tests are not

- Education
- 2012

Since the 1930s, many of our top methodologists have argued that significance tests are not conducive to science. Bakan (1966) believed that “everyone knows this” and that we slavishly lean on the…

Thinking thrice about sum scores, and then some more about measurement and analysis.

- PsychologyBehavior research methods
- 2022

Measurement is fundamental to all research in psychology and should be accorded greater scrutiny than typically occurs. Among other claims, McNeish and Wolf (Thinking twice about sum scores. Behavior…

Even More Synthesis

- Psychology
- 1992

Elliot Aronson's interesting and thought-provoking article does social psychology a favor. By calling attention to our field's low interest in relatively broad and integrative theoretical…

A critical analysis of the role of statistical significance testing in education research, with special attention to mathematics education

- Psychology
- 2005

This study analyzes the role of statistical significance testing (SST) in education. Although the basic logic underlying SST 一 a hypothesis is rejected because the observed data would be very…

## References

SHOWING 1-10 OF 46 REFERENCES

Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology.

- Psychology
- 1978

Abstract Theories in “soft” areas of psychology lack the cumulative character of scientific knowledge. They tend neither to be refuted nor corroborated, but instead merely fade away as people lose…

Do studies of statistical power have an effect on the power of studies

- Psychology
- 1989

The long-term impact of studies of statistical power is investigated using J. Cohen's (1962) pioneering work as an example. We argue that the impact is nil; the power of studies in the same journal…

9: Integrating Findings: The Meta-Analysis of Research

- Education
- 1977

Maccoby and Jacklin's (1974) review of research on the psychology of sex differences encompassed 1,600 works published before 1973. Considering the literature on that topic since 1973, and the fact…

Estimating Coefficients in Linear Models: It Don't Make No Nevermind

- Psychology
- 1976

It is proved that under very general circumstances coefficients in multiple regression models can be replaced with equal weights with almost no loss in accuracy on the original data sample. It is…

ON THE USE AND INTERPRETATION OF CERTAIN TEST CRITERIA FOR PURPOSES OF STATISTICAL INFERENCE PART I

- Geology
- 1928

In an earlier paper* we have endeavoured to emphasise the importance of placing in a logical sequence the stages of reasoning adopted in the solution of certain statistical problems, which may be…

Statistical Procedures and the Justification of Knowledge in Psychological Science

- Philosophy
- 1989

Justification, in the vernacular language of philosophy of science, refers to the evaluation, defense, and confirmation of claims of truth. In this article, we examine some aspects of the rhetoric of…

Statistical Power Analysis for the Behavioral Sciences

- Mathematics
- 1969

Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a…

Set Correlation As A General Multivariate Data-Analytic Method.

- MathematicsMultivariate behavioral research
- 1982

Because of its flexibility and generality, beyond its capacity to handle the standard multivariate methods as special cases, set correlation offers some useful novel data-analytic techniques, among which are illustrated a hierarchical analysis of common and unique aspects of a battery, multivariate contrasts among outcomes, the multivariate analysis of partial variance, and contingency table analysis.

Statistical inference : a commentary for the social and behavioural sciences / Michael Oakes

- Psychology
- 1986

Preface ON SIGNIFICANCE TESTS: The Logic of the Significance Test A Critique of Significance Tests Intuitive Statistical Judgements SCHOOLS OF STATISTICAL INFERENCE: Theories of Probability Further…

The robust beauty of improper linear models in decision making.

- Psychology
- 1979

Proper linear models are those in which predictor variables are given weights in such a way that the resulting linear composite optimally predicts some criterion of interest; examples of proper…