The Impact of Outliers on Cronbach’s Coefficient Alpha Estimate of Reliability: Ordinal/Rating Scale Item Responses
暂无分享,去创建一个
Yan Liu | Bruno D. Zumbo | Amery D. Wu | B. Zumbo | Yan Liu | Amery Wu
[1] Daniel Bernoulli,et al. The most probable choice between several discrepant observations and the formation therefrom of the most likely induction , 1961 .
[2] C. Enders,et al. The Effects of Nonnormality and Number of Response Categories on Reliability , 1996 .
[3] Lewis R. Aiken,et al. Number of Response Categories and Statistics on a Teacher Rating Scale , 1983 .
[4] Chi-Sum Wong,et al. Differences between odd and even number of response scale: Some empirical evidence. , 1993 .
[5] Wobbe P. Zijlstra,et al. Outlier Detection in Test and Questionnaire Data , 2007 .
[6] Rand R. Wilcox,et al. Robust generalizations of classical test reliability and Cronbach's alpha , 1992 .
[7] S. Weisberg,et al. Characterizations of an Empirical Influence Function for Detecting Influential Cases in Regression , 1980 .
[8] R. Sitgreaves. Psychometric theory (2nd ed.). , 1979 .
[9] J. Guilford. Psychometric methods, 2nd ed. , 1954 .
[10] Bruno D. Zumbo,et al. The robustness of validity and efficiency of the related samples t-test in the presence of outliers , 2002 .
[11] Stanley L. Sclove. Mathematical Statistics (3rd ed.) , 1981 .
[12] J. Jacoby,et al. Is There an Optimal Number of Alternatives for Likert Scale Items? Study I: Reliability and Validity , 1971 .
[13] S. Stouffer,et al. Measurement and Prediction , 1954 .
[14] John C. Lind,et al. The Continuity Principle in Psychological Research: An Introduction to Robust Statistics , 1993 .
[15] J. Stevens,et al. Outliers and influential data points in regression analysis. , 1984 .
[16] G. Jenkins,et al. A Monte Carlo study of factors affecting three indices of composite scale reliability. , 1977 .
[17] J. J. Higgins,et al. The Power of t and Wilcoxon Statistics , 1980 .
[18] S. Fiske,et al. The Handbook of Social Psychology , 1935 .
[19] Julia Kastner,et al. Introduction to Robust Estimation and Hypothesis Testing , 2005 .
[20] David Kaplan,et al. The Sage handbook of quantitative methodology for the social sciences , 2004 .
[21] W. R. Buckland,et al. Outliers in Statistical Data , 1979 .
[22] R. Likert. “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.
[23] Rand R. Wilcox,et al. How many discoveries have been lost by ignoring modern statistical methods , 1998 .
[24] Bruno D. Zumbo,et al. Ordinal Versions of Coefficients Alpha and Theta for Likert Rating Scales , 2007 .
[25] R. Lissitz,et al. Effect of the number of scale points on reliability: A Monte Carlo approach. , 1975 .
[26] D. C. Howell. Statistical Methods for Psychology , 1987 .
[27] J. Barnette. Nonattending Respondent Effects on Internal Consistency of Self-Administered Surveys: A Monte Carlo Simulation Study , 1999 .
[28] B. Ripley,et al. Robust Statistics , 2018, Wiley Series in Probability and Statistics.
[29] Bruno D. Zumbo,et al. Is the selection of statistical methods governed by level of measurement , 1993 .
[30] J. Osborne. Notes on the use of data transformations. , 2002 .
[31] Peter J. Huber,et al. Robust Statistics , 2005, Wiley Series in Probability and Statistics.
[32] Yan Liu,et al. The Impact of Outliers on Cronbach's Coefficient Alpha Estimate of Reliability: Visual Analogue Scales , 2007 .
[33] E. Ziegel. Introduction to Robust Estimation and Hypothesis Testing (2nd ed.) , 2005 .
[34] L. Weng. Impact of the Number of Response Categories and Anchor Labels on Coefficient Alpha and Test-Retest Reliability , 2004 .
[35] E. Krieg. Biases Induced by Coarse Measurement Scales , 1999 .
[36] Bruno D. Zumbo,et al. The relative power of parametric and nonparametric statistical methods. , 1993 .
[37] A. Rupp,et al. Responsible Modeling of Measurement Data for Appropriate Inferences: Important Advances in Reliability and Validity Theory , 2004 .