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Volumn 43, Issue 2, 2011, Pages 331-339

Exploratory regression analysis: A tool for selecting models and determining predictor importance

Author keywords

Dominance Weights; Importance Weights; Incremental R 2; Linear Regression; Microsoft Excel

Indexed keywords

COMPUTER PROGRAM; METHODOLOGY; REGRESSION ANALYSIS; REVIEW; STATISTICAL MODEL;

EID: 79956269488     PISSN: 1554351X     EISSN: 15543528     Source Type: Journal    
DOI: 10.3758/s13428-010-0046-8     Document Type: Review
Times cited : (101)

References (28)
  • 1
    • 0141768106 scopus 로고    scopus 로고
    • The dominance analysis approach for comparingpredictors in multiple regression
    • Azen, R., & Budescu, D. V. (2003). The dominance analysis approach for comparingpredictors in multiple regression. Psychological Methods, 8, 129-148.
    • (2003) Psychological Methods , vol.8 , pp. 129-148
    • Azen, R.1    Budescu, D.V.2
  • 2
    • 33746115266 scopus 로고    scopus 로고
    • Comparing predictors in multivariate regression models: An extension of dominance analysis
    • Azen, R., & Budescu, D. V. (2006). Comparing predictors in multivariate regression models: An extension of dominance analysis. Journal of Educational and Behavioral Statistics, 31, 157-180.
    • (2006) Journal of Educational and Behavioral Statistics , vol.31 , pp. 157-180
    • Azen, R.1    Budescu, D.V.2
  • 3
    • 77950527840 scopus 로고    scopus 로고
    • Using Dominance Analysis to determine predictor importancein logistic regression
    • Azen, R., & Traxel, N. M. (2009). Using Dominance Analysis to determine predictor importancein logistic regression. Journal of Educational and Behavioral Statistics, 34, 319-347.
    • (2009) Journal of Educational and Behavioral Statistics , vol.34 , pp. 319-347
    • Azen, R.1    Traxel, N.M.2
  • 4
    • 12044256695 scopus 로고
    • Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression
    • Budescu, D. V. (1993). Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. Psychological Bulletin, 114, 542-551.
    • (1993) Psychological Bulletin , vol.114 , pp. 542-551
    • Budescu, D.V.1
  • 5
    • 3042568578 scopus 로고    scopus 로고
    • Beyond global measures of relative importance: Some insights from dominance analysis
    • Budescu, D. V., & Azen, R. (2004). Beyond global measures of relative importance: Some insights from dominance analysis. Organizational Research Methods, 7, 341-350.
    • (2004) Organizational Research Methods , vol.7 , pp. 341-350
    • Budescu, D.V.1    Azen, R.2
  • 7
    • 0035531766 scopus 로고    scopus 로고
    • Use of structure coefficients in published multipleregression articles: Beta is not enough
    • Courville, T., & Thompson, B. (2001). Use of structure coefficients in published multipleregression articles: Beta is not enough. Educational and Psychological Measurement, 61, 229-248.
    • (2001) Educational and Psychological Measurement , vol.61 , pp. 229-248
    • Courville, T.1    Thompson, B.2
  • 8
    • 34248029058 scopus 로고
    • Measures of predictor variable importance in multiple regression: An additional suggestion
    • Fabbris, L. (1980). Measures of predictor variable importance in multiple regression: An additional suggestion. Quality & Quantity, 4, 787-792.
    • (1980) Quality & Quantity , vol.4 , pp. 787-792
    • Fabbris, L.1
  • 9
    • 0344353090 scopus 로고    scopus 로고
    • Consequences of not interpreting structure coefficients in published CFA research: A reminder
    • Graham, J. M., Guthrie, A. C., & Thompson, B. (2003). Consequences of not interpreting structure coefficients in published CFA research: A reminder. Structural Equation Modeling, 10, 142-153.
    • (2003) Structural Equation Modeling , vol.10 , pp. 142-153
    • Graham, J.M.1    Guthrie, A.C.2    Thompson, B.3
  • 10
    • 84925904710 scopus 로고
    • Parameter sensitivity in multivariate methods
    • Green, B. F. (1977). Parameter sensitivity in multivariate methods. Multivariate Behavioral Research, 12, 264-288.
    • (1977) Multivariate Behavioral Research , vol.12 , pp. 264-288
    • Green, B.F.1
  • 11
    • 0007589525 scopus 로고
    • A new measure of predictor variableimportance in multiple regression
    • Green, P. E., Carroll, J. D., & DeSarbo, W. S. (1978). A new measure of predictor variableimportance in multiple regression. Journal of Marketing Research, 15, 356-360.
    • (1978) Journal of Marketing Research , vol.15 , pp. 356-360
    • Green, P.E.1    Carroll, J.D.2    Desarbo, W.S.3
  • 12
    • 33750228994 scopus 로고    scopus 로고
    • Relative importance for linear regression in R: The package relaimpo
    • Grömping, U. (2006). Relative importance for linear regression in R: The package relaimpo. Journal of Statistical Software, 17, 1-26.
    • (2006) Journal of Statistical Software , vol.17 , pp. 1-26
    • Grömping, U.1
  • 13
    • 0000333672 scopus 로고    scopus 로고
    • Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical-statistical controversy
    • Grove, W. M., & Meehl, P. E. (1996). Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical-statistical controversy. Psychology, Public Policy, and Law, 2, 293-323.
    • (1996) Psychology, Public Policy, and Law , vol.2 , pp. 293-323
    • Grove, W.M.1    Meehl, P.E.2
  • 14
    • 30644457684 scopus 로고    scopus 로고
    • Exploratory factor analysis, theory generation, and scientific method
    • Haig, B. D. (2005). Exploratory factor analysis, theory generation, and scientific method. Multivariate Behavioral Research, 40, 303-329.
    • (2005) Multivariate Behavioral Research , vol.40 , pp. 303-329
    • Haig, B.D.1
  • 15
    • 0001172853 scopus 로고
    • The paramorphic representation of clinical judgment
    • Hoffman, P. J. (1960). The paramorphic representation of clinical judgment. Psychological Bulletin, 57, 116-131.
    • (1960) Psychological Bulletin , vol.57 , pp. 116-131
    • Hoffman, P.J.1
  • 16
    • 0040856485 scopus 로고
    • The minimal transformation to orthonormality
    • Johnson, R. M. (1966). The minimal transformation to orthonormality. Psychometrika, 31, 61-66.
    • (1966) Psychometrika , vol.31 , pp. 61-66
    • Johnson, R.M.1
  • 17
    • 0040558027 scopus 로고    scopus 로고
    • A heuristic method for estimating the relative weight of predictor variables in multiple regression
    • Johnson, J. W. (2000). A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research, 35, 1-19.
    • (2000) Multivariate Behavioral Research , vol.35 , pp. 1-19
    • Johnson, J.W.1
  • 18
    • 3042513178 scopus 로고    scopus 로고
    • Factors affecting relative weights: The influence of sampling and measurement error
    • Johnson, J. W. (2004). Factors affecting relative weights: The influence of sampling and measurement error. Organizational Research Methods, 7, 283-299.
    • (2004) Organizational Research Methods , vol.7 , pp. 283-299
    • Johnson, J.W.1
  • 20
    • 41549157683 scopus 로고    scopus 로고
    • Relative importance: Extending relative weightanalysis to multivariate criterion spaces
    • LeBreton, J. M., & Tonidandel, S. (2008). Relative importance: Extending relative weightanalysis to multivariate criterion spaces. The Journal of Applied Psychology, 93, 329-345.
    • (2008) The Journal of Applied Psychology , vol.93 , pp. 329-345
    • Lebreton, J.M.1    Tonidandel, S.2
  • 21
    • 77952484458 scopus 로고    scopus 로고
    • Two SPSS programs for interpretingmultiple regression results
    • Lorenzo-Seva, U., Ferrando, P. J., & Chico, E. (2010). Two SPSS programs for interpretingmultiple regression results. Behavior Research Methods, 42, 29-35.
    • (2010) Behavior Research Methods , vol.42 , pp. 29-35
    • Lorenzo-Seva, U.1    Ferrando, P.J.2    Chico, E.3
  • 22
    • 58149411091 scopus 로고
    • Use of an all possible combination solution of certain multiple regression problems
    • Madden, J. M., & Bottenberg, R. A. (1963). Use of an all possible combination solution of certain multiple regression problems. The Journal of Applied Psychology, 47, 365-366.
    • (1963) The Journal of Applied Psychology , vol.47 , pp. 365-366
    • Madden, J.M.1    Bottenberg, R.A.2
  • 24
    • 77955857683 scopus 로고    scopus 로고
    • Revisiting interpretation of canonical correlationanalysis: A tutorial and software solution for canonical commonality analysis
    • Nimon, K., Henson, R., & Gates, M. (2010). Revisiting interpretation of canonical correlationanalysis: A tutorial and software solution for canonical commonality analysis. Multivariate Behavioral Research, 45, 702-724.
    • (2010) Multivariate Behavioral Research , vol.45 , pp. 702-724
    • Nimon, K.1    Henson, R.2    Gates, M.3
  • 25
    • 48149103259 scopus 로고    scopus 로고
    • An R package to computecommonality coefficients in the multiple regression case: An introduction to the package and a practical example
    • Nimon, K., Lewis, M., Kane, R., & Haynes, R. M. (2008). An R package to computecommonality coefficients in the multiple regression case: An introduction to the package and a practical example. Behavior Research Methods, 40, 457-466.
    • (2008) Behavior Research Methods , vol.40 , pp. 457-466
    • Nimon, K.1    Lewis, M.2    Kane, R.3    Haynes, R.M.4
  • 28
    • 77956454808 scopus 로고    scopus 로고
    • Determining the relative importance of predictors inlogistic regression: An extension of relative weight analysis
    • Tonidandel, S., & LeBreton, J. M. (2010). Determining the relative importance of predictors inlogistic regression: An extension of relative weight analysis. Organizational Research Methods, 13, 767-781.
    • (2010) Organizational Research Methods , vol.13 , pp. 767-781
    • Tonidandel, S.1    Lebreton, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.