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
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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…