Now showing items 1-20 of 35

    • Applying Hamlet's Question to the Ethical Conduct of Research: A Conceptual Addendum 

      Rosenthal, Robert; Rosnow, Ralph L. (American Psychological Association, 1984)

      Rosnow, Ralph L.; Rosenthal, Robert (Oxford University Press, 2008)
    • Comment: Assumptions and Procedures in the File Drawer Problem 

      Rosenthal, Robert; Rubin, Donald B. (Institute of Mathematical Statistics, 1988)
    • Comparing Correlated but Nonoverlapping Correlations 

      Rosenthal, Robert; Raghunathan, T. E.; Rubin, Donald B. (American Psychological Association, 1996)
      A common situation in psychological research involves the comparison of two correlations on the same sample of subjects, in which the correlations are nonoverlapping in the sense of having a variable in common (e.g., ru ...
    • Comparing Correlated Correlation Coefficients 

      Rosenthal, Robert; Rubin, Donald B.; Meng, Xiao-Li (American Psychological Association, 1992)
      The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & ...
    • Comparing Effect Sizes of Independent Studies 

      Rosenthal, Robert; Rubin, Donald B. (American Psychological Association, 1982)
      This article presents a general set of procedures for comparing the effect sizes of two or more independent studies. The procedures include a method for calculating the approximate significance level for the heterogeneity ...
    • Comparing Significance Levels of Independent Studies 

      Rosenthal, Robert; Rubin, Donald B. (American Psychological Association, 1979)
      Methods for comparing two or more statistical significance (p) levels are described; these methods are more rigorous, systematic, and informative than the comparisons that are commonly made by using a significant/not ...
    • Comparing Within- and Between-Subjects Studies 

      Rosenthal, Robert; Rubin, Donald B. (Sage, 1980)
      Studies employing within-subjects designs may be compared with those employing between-subjects designs in a variety of ways. We discuss and illustrate the comparisons of variabilities, including within-condition variances ...
    • Contrasts and Correlations in Effect-size Estimation 

      Rosnow, Ralph L.; Rosenthal, Robert; Rubin, Donald (Blackwell Publishers, 2000)
      This article describes procedures for presenting standardized measures of effect size when contrasts are used to ask focused questions of data. The simplest contrasts consist of comparisons of two samples (e.g., based on ...
    • Contrasts and Correlations in Theory Assessment 

      Rosnow, R. L.; Rosenthal, Robert (Oxford University Press (OUP), 2002)
      To describe a systematic quantitative approach to assessing the predictions made by competing theories using contrasts and correlational indices of effect sizes. We illustrate the use of the contrast F and t to compare and ...

      Rosnow, Ralph; Rosenthal, Robert (SAGE Publications, 1996)
      ThIs reply to Abelson (this Issue) and Petty, Fabrtgar, Wegener, and Priester (this issue) is couched within the framework offive basic principles advising that we (1) hang on to what we predicted long enough to test It ...

      Rosenthal, Robert; Rubin, Donald B. (SAGE Publications, 1994)
      We introduce a new, readily computed statistic, the counternull value of an obtained effect size, which is the nonnull magnitude of effect size that is supported by exactly the same amount of evidence as supports the null ...
    • The Daubert/Kumho Implications of Observer Effects in Forensic Science: Hidden Problems of Expectation and Suggestion 

      Risinger, D. Michael; Saks, Michael J.; Thompson, William C.; Rosenthal, Robert (California Law Review Inc., 2002)
      After the Supreme Court's decision in Kumho Tire v. Carmichael and the recent amendment of Federal Rule of Evidence 702, proffers of expert testimony will have to be found reliable for the particular application of the ...
    • Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis 

      Rosenthal, Robert; Rubin, Donald B. (American Psychological Association, 1989)
      This article proposes a standard, easy-to-interpret effect size estimate for one-sample research. The proportion index (*•) shows the hit rate on a scale on which .50 is always the null value regardless of the number of ...
    • Effect Sizes for Experimenting Psychologists 

      Rosnow, Ralph L.; Rosenthal, Robert (American Psychological Association, 2003)
      This article describes three families of effect size estimators and their use in situations of general and specific interest to experimenting psychologists. The situations discussed include both between- and within-group ...
    • Effect Sizes Why, When, and How to Use Them 

      Rosnow, RL.; Rosenthal, Robert (Hogrefe & Huber Publishers, 2009)
      The effect size (ES) is the magnitude of a study outcome or research finding, such as the strength of the relationship obtained between an independent variable and a dependent variable. Two types of ES indicators are sampled ...
    • Ensemble-Adjusted p Values 

      Rosenthal, Robert; Rubin, Donald B. (American Psychological Association, 1983)
      When contrasts or other tests of significance can be ordered according to their importance, adjusted p values can be computed that permit greater power to be brought to bear on contrasts of greater interest or importance. ...
    • Essentials of Behavioral Research: Methods and Data Analysis 

      Rosenthal, Robert; Rosnow, Ralph L. (McGraw Hill, 2008)
    • Ethical Principles in Data Analysis: An Overview 

      Rosnow, Ralph L.; Rosenthal, Robert (Routledge, 2010)
    • Focused Tests of Significance and Effect Size Estimation in Counseling Pyschology 

      Rosnow, Ralph L.; Rosenthal, Robert (the American Psychological Association, 1988)
      The purpose of this article is twofold: first, to present the strategic advantages of focused over omnibus tests of statistical significance in counseling research and, second, to demonstrate the utility of interpreting ...