Tsujimoto, S., Kuwajima, M., & Sawaguchi, T. Behavior Research Methods, Instruments, & Computers, 24, 581–582.
R2: A computer program for interval estimation, power calculations, sample size estimation, and hypothesis testing in multiple regression.
Tests for comparing elements of a correlation matrix. Methodological and computational considerations for multiple correlation analysis. Sample size calculations for logistic and Poisson regression models. Journal of the American Statistical Association, 69, 682–689. Linear equality restrictions in regression and loglinear models. An ontological test of the IAT: Self-activation can increase predictive validity. Perugini, M., O’Gorman, R., & Prestwich, A. A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Educational & Psychological Measurement, 61, 650–667. Confidence intervals, power calculation, and sample size estimation for the squared multiple correlation coefficient under the fixed and random regression models: A computer program and useful standard tables. A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses. Tables of upper percentage points of the multiple correlation coefficient. A simple method of sample size calculation for linear and logistic regression. Statistics for the social sciences (2nd ed.). Multiple correlation: Exact power and sample size calculations. Predicting voting behavior with implicit attitude measures: The 2002 German parliamentary election. Behavior Research Methods, 39, 175–191.įriese, M., Bluemke, M., & Wänke, M. G *Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Göttingen: Hogrefe.įaul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. Schmitz (Eds.), Handbuch der Psychologischen Methoden und Evaluation. Chichester, U.K.: Wiley.Įrdfelder, E., Faul, F., Buchner, A., & Cüpper, L. Howell (Eds.), Encyclopedia of statistics in behavioral science (pp. Zeitschrift für Sozialpsychologie, 15, 18–32.Įrdfelder, E., Faul, F., & Buchner, A. Zur Bedeutung und Kontrolle des beta-Fehlers bei der inferenzstatistischen Prüfung log-linearer Modelle. Controlled Clinical Trials, 19, 589–601.Įrdfelder, E. Power and sample size calculations for studies involving linear regression. Journal of the American Statistical Association, 64, 366–377.ĭupont, W. Correlation coefficients measured on the same individuals. Behavior Research Methods, Instruments, & Computers, 36, 695–701.ĭunn, O. Computing aspects of power for multiple regression. Statistics in Medicine, 27, 36–46.ĭunlap, W. Sample size and optimal design for logistic regression with binary interaction. Sample size determination for logistic regression revisited. Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Hillsdale, NJ: Erlbaum.Ĭohen, J., Cohen, P., West, S. Statistical power analysis for the behavioral sciences (2nd ed.). On the mean and variance of the tetrachoric correlation coefficient. Über die Anwendung von Signifikanztests bei theorie-testenden Experimenten. Journal of Educational & Behavioral Statistics, 30, 213–225.īredenkamp, J. Inferential methods for the tetrachoric correlation coefficient. Computational Statistics & Data Analysis, 43, 249–267.īonett, D. Computing discrete mixtures of continuous distributions: Noncentral chisquare, noncentral t and the distribution of the square of the sample multiple correlation coefficient. Oxford: Blackwell.īenton, D., & Krishnamoorthy, K. Statistical methods in medical research (4th ed.).
0 kommentar(er)
