no. 4
Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
Journal de la Société française de statistique, Volume 145 (2004) no. 4, pp. 47-53
complements The modern hypothesis testing hybrid : R. A. Fisher's fading influence
complemented-by Reply to comments on « The modern hypothesis testing hybrid : R.A. Fisher's fading influence » 
@article{JSFS_2004__145_4_47_0,
     author = {Kwan, Ernest and Friendly, Michael},
     title = {Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures},
     journal = {Journal de la Soci\'et\'e fran\c{c}aise de statistique},
     pages = {47--53},
     publisher = {Soci\'et\'e fran\c{c}aise de statistique},
     volume = {145},
     number = {4},
     year = {2004},
     language = {en},
     url = {https://www.numdam.org/item/JSFS_2004__145_4_47_0/}
}
TY  - JOUR
AU  - Kwan, Ernest
AU  - Friendly, Michael
TI  - Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
JO  - Journal de la Société française de statistique
PY  - 2004
SP  - 47
EP  - 53
VL  - 145
IS  - 4
PB  - Société française de statistique
UR  - https://www.numdam.org/item/JSFS_2004__145_4_47_0/
LA  - en
ID  - JSFS_2004__145_4_47_0
ER  - 
%0 Journal Article
%A Kwan, Ernest
%A Friendly, Michael
%T Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
%J Journal de la Société française de statistique
%D 2004
%P 47-53
%V 145
%N 4
%I Société française de statistique
%U https://www.numdam.org/item/JSFS_2004__145_4_47_0/
%G en
%F JSFS_2004__145_4_47_0
Kwan, Ernest; Friendly, Michael. Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures. Journal de la Société française de statistique, Volume 145 (2004) no. 4, pp. 47-53. https://www.numdam.org/item/JSFS_2004__145_4_47_0/

Carver R. (1978). The case against statistical significance testing. Harvard Educational Review, 48, 378-399.

Carver R.P. (1993). The case against statistical significance testing, revisited. Journal of Experimental Education, 61, 287-292.

Cohen J. (1994). The earth is round (p < 0.05). American Psychologist, 49, 997-1003.

Cumming G., & Finch S. (2001). A primer on the understanding, use, and calculations of confidence intervals that are based on central and noncentral distributions. Educationai and Psychological Measurement, 61, 532-574. | MR

Denis D. J. (2004). The modem hypothesis testing hybrid: R. A. Fisher's fading influence. Journal de la Société Française de Statistique, 145, 4, 5-26.

Fisher R. A. (1925). Statistical methods for research workers. London: Oliver & Boyd. | JFM

Fisher R. A. (1935). The design of experiments. New York: Hafner. | JFM

Glass G. V. (1976). Primary, secondary, and meta-analysis. Educational Researcher, 5(10), 3-8.

Gigerenzer G. (1993). The superego, the ego, and the id in statistical reasoning. In G. Keren & C. Lewis (Eds.), A handbook for data analysis in the behavioral sciences: Methodological issues (pp. 311-339). Hillsdale, NJ: Lawrence Erlbaum Associates.

Gigerenzer G., & Murray D. J. (1987). Cognition as intuitive statistics. Hillsdale, NJ: Lawrence Erlbaum Associates.

Gonzalez R. (1994). The statistics ritual in psychological research. Psychological Science, 5, 321, 325-328.

Hallahan M., & Rosenthal R. (2000). Interpreting and reporting results. In H. E. A. Tinsley & S. D. Brown (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 125-149). San Diego, CA: Academic Press. | MR

Harlow L. L., Mulaik S. A. & Steiger J. H. (Eds.). (1997). What if there were no significance tests? Mahwah, New York: Lawrence Erlbaum Associates.

Huberty C. J. (1993). Historical origins of statistical testing practices: The treatment of Fisher versus Neyman-Pearson views in textbooks. Journal of Experimental Education, 61, 317-333.

Jones L. V., & Tukey J. W. (2000). A sensible formulation of the significance test. Psychological Methods, 5, 411-414.

Kwan E. (2004). The null hypothesis significance testing controversy and the teaching of introductory statistics. Submitted to Teaching of Psychology, under revision.

Meehl P. (1967). Theory-testing in psychology and physics: a methodological paradox. Philosophy of Science, 34, 103-115.

Meehl P. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806-834.

Meehl P. (1990). Appraising and amending theories: The strategy of Lakatosian defense and the two principles that warrant it. Psychological Inquiry, 1, 108-141.

Meehl P. (1997). The problem is epistemology, not statistics: Replace significance tests by confidence intervals and quantify accuracy of risky numerical predictions. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there were no significance tests? (pp. 393-425). Mahwah, New York: Lawrence Erlbaum Associates.

Nester M. R. (1996). An applied statistician's creed. Applied Statistics, 45, 401-410. | MR

Nickerson R. S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 50, 241-301.

Panicker S. (2000). Narrow and shallow. American Psychologist, 55, 965-966.

Rosenthal R., & Gaito J. (1963). The interpretation of levels of significance by psychological researchers. Journal of Psychology, 55, 33-38.

Rozeboom W. W. (1960). The fallacy of the null-hypothesis significance test. Psychological Bulletin, 57, 416-428.

Schmidt F. L. (1996). Statistical significance testing and cumulative knowledge in psychology: Implications for training researchers. Psychological Methods, 1, 115-129.

Thompson B. (2002). What future quantitative social science research could look like: Confidence intervals for effect sizes. Educational Researcher, 31, 24-31.

Wilkinson L., & the Task Force on Statistical Inference. (1999). Statistical methods in psychology journals. American Psychologist, 54, 594-604.