The introduction and application of recursive partitioning methods in organizational science
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[1] G. Tutz,et al. An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. , 2009, Psychological methods.
[2] Hugh B. Crews,et al. Fast FSR Methods for Second-Order Linear Regression Models , 2008 .
[3] Herman Aguinis,et al. The Too-Much-of-a-Good-Thing Effect in Management , 2013 .
[4] Kenneth J. Harris,et al. P = f (Conscientiousness × Ability): Examining the Facets of Conscientiousness , 2010 .
[5] Nicholas R. Martin,et al. Investigating Nonlinear Conscientiousness-Job Performance Relations for Clerical Employees , 2005 .
[6] Norman R. F. Maier,et al. The appraisal interview : objectives, methods, and skills , 1960 .
[7] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[8] F. Schmidt,et al. The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. , 1998 .
[9] Martin Daniel Lloyd. Incremental validity of commonly -used risk assessment measures in predicting serious sexual recidivism , 2008 .
[10] J. M. Cortina,et al. What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .
[11] William H. Glick,et al. Typologies As a Unique Form Of Theory Building: Toward Improved Understanding and Modeling , 1994 .
[12] John G. Lynch. Uniqueness Issues in the Decompositional Modeling of Multiattribute Overall Evaluations: An Information Integration Perspective , 1985 .
[13] Scott Tonidandel,et al. Residualized Relative Importance Analysis , 2013 .
[14] Murray R. Barrick,et al. Yes, Personality Matters: Moving on to More Important Matters , 2005 .
[15] Jeffrey M. Cucina,et al. Nonlinear personality-performance relationships and the spurious moderating effects of traitedness. , 2005, Journal of personality.
[16] Barry Schwartz,et al. Science Perspectives on Psychological Too Much of a Good Thing : the Challenge and Opportunity of the Inverted U on Behalf Of: Association for Psychological Science , 2022 .
[17] Jeffrey S. Simonoff,et al. Tree Induction Vs Logistic Regression: A Learning Curve Analysis , 2001, J. Mach. Learn. Res..
[18] L. Cronbach,et al. Assessing similarity between profiles. , 1953, Psychological bulletin.
[19] David Magnusson,et al. A Holistic View of Personality: A Model Revisited , 1993 .
[20] Patrick M. Wright,et al. ABILITY AS A MODERATOR OF THE RELATIONSHIP BETWEEN PERSONALITY AND JOB PERFORMANCE. , 1992 .
[21] Marilyn C. Lee. Interactions, Configurations, and Nonadditive Models , 1961 .
[22] Paul M. Reis. Determinants of flight training performance: an analysis of the impact of undergraduate academic background , 2000 .
[23] W. Mobley,et al. Review and Conceptual Analysis of the Employee Turnover Process , 1979 .
[24] L R Bergman,et al. A person-oriented approach in research on developmental psychopathology , 1997, Development and Psychopathology.
[25] Deborah E. Rupp,et al. Experiencing Work: An Essay on a Person-Centric Work Psychology , 2011, Industrial and Organizational Psychology.
[26] Chen-Fu Chien,et al. Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry , 2008, Expert Syst. Appl..
[27] Neal Schmitt,et al. The use of background and ability profiles to predict college student outcomes. , 2007, The Journal of applied psychology.
[28] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[29] Joseph G. Rosse,et al. The impact of response distortion on preemployment personality testing and hiring decisions. , 1998 .
[30] J. Asendorpf. Head‐to‐head comparison of the predictive validity of personality types and dimensions , 2003 .
[31] Gregory D. Gjurich. A predictive model of surface warfare officer retention : factors affecting turnover , 1999 .
[32] Bryan D. Edwards,et al. Multistage selection strategies: simulating the effects on adverse impact and expected performance for various predictor combinations. , 2009, The Journal of applied psychology.
[33] Scott Tonidandel,et al. Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis , 2010 .
[34] P Horst. Configural analysis and pattern recognition. , 1968, Journal of clinical psychology.
[35] W. Loh,et al. Improving the precision of classification trees , 2010, 1011.0608.
[36] Filip Lievens,et al. Designing Pareto-optimal selection systems: formalizing the decisions required for selection system development. , 2011, The Journal of applied psychology.
[37] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[38] Winfred Arthur,et al. Personality testing in employment settings: Problems and issues in the application of typical selection practices , 2001 .
[39] E. A. Locke. The Case for Inductive Theory Building† , 2007 .
[40] Filip Lievens,et al. Predicting adverse impact and mean criterion performance in multistage selection. , 2006, The Journal of applied psychology.
[41] Herman Aguinis,et al. Revival of test bias research in preemployment testing. , 2010, The Journal of applied psychology.
[42] John B Halstead. Recruiter Selection Model , 2006 .
[43] G Reibnegger,et al. Neural networks as a tool for utilizing laboratory information: comparison with linear discriminant analysis and with classification and regression trees. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[44] Achim Zeileis,et al. BMC Bioinformatics BioMed Central Methodology article Conditional variable importance for random forests , 2008 .
[45] Jian Bi,et al. IDENTIFICATION OF DRIVERS OF OVERALL LIKING – DETERMINATION OF RELATIVE IMPORTANCES OF REGRESSOR VARIABLES , 2011 .
[46] L. A. Witt,et al. The Interactive Effects of Extraversion and Conscientiousness on Performance , 2002 .
[47] Jacob Cohen. Statistical Power Analysis , 1992 .
[48] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[49] Fritz Drasgow,et al. Optimizing Prediction of Attrition With the U.S. Army's Assessment of Individual Motivation (AIM) , 2011 .
[50] A. Boulesteix,et al. Bias in random forest variable importance measures: Illustrations, sources and a solution , 2007, BMC Bioinformatics.
[51] D. Day,et al. Personality and job performance: Evidence of incremental validity. , 1989 .
[52] J. Monahan,et al. A Classification Tree Approach to the Development of Actuarial Violence Risk Assessment Tools , 2000, Law and human behavior.
[53] Patrick L. Brockett,et al. A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice , 1997 .
[54] Murray R. Barrick,et al. Five-Factor Model of personality and Performance in Jobs Involving Interpersonal Interactions , 1998 .
[55] Jocelyn E. Holden,et al. The prediction of intelligence in preschool children using alternative models to regression , 2011, Behavior research methods.
[56] Peter Doyle,et al. The Use of Automatic Interaction Detector and Similar Search Procedures , 1973 .
[57] D. Budescu,et al. The dominance analysis approach for comparing predictors in multiple regression. , 2003, Psychological methods.
[58] F. Oswald,et al. Personality and its assessment in organizations: Theoretical and empirical developments. , 2011 .
[59] Burton H Singer,et al. Diverse pathways to positive and negative affect in adulthood and later life: an integrative approach using recursive partitioning. , 2008, Developmental psychology.
[60] Philip J. Corr,et al. Cognitive ability as a buffer to neuroticism: Churchill’s secret weapon? , 2006 .
[61] Necdet Süt,et al. Comparison of regression tree data mining methods for prediction of mortality in head injury , 2011, Expert Syst. Appl..
[62] Gerald R. Ferris,et al. Personality, political skill, and job performance , 2008 .
[63] G. David Garson,et al. Neural Networks: An Introductory Guide for Social Scientists , 1999 .
[64] Christopher J. Williams,et al. A comparison of statistical methods for prenatal screening for Down syndrome , 1999 .
[65] Winny Shen. The Application of a Person-Oriented Criterion-Related Configural Approach to the Relationship between Personality Traits and Work Behaviors , 2011 .
[66] Susan W. Palocsay,et al. Neural Network Modeling in Cross-Cultural Research: A Comparison with Multiple Regression , 2004 .
[67] G. De’ath,et al. CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS , 2000 .
[68] J. Maindonald. Statistical Learning from a Regression Perspective , 2008 .
[69] W. Holmes Finch,et al. Misclassification Rates for Four Methods of Group Classification , 2006 .
[70] N. Anderson. Functional measurement and psychophysical judgment. , 1970, Psychological review.
[71] W. Loh,et al. REGRESSION TREES WITH UNBIASED VARIABLE SELECTION AND INTERACTION DETECTION , 2002 .
[72] Sang Eun Woo. Dispositional Differences in Frequencies of and Reasons for Voluntary Turnover: A Latent-Class Approach , 2009 .
[73] H. Frydman,et al. Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress , 1985 .
[74] Xitao Fan,et al. Comparing Linear Discriminant Function with Logistic Regression for the Two-Group Classification Problem. , 1999 .
[75] Jim E. H. Bright,et al. A Comparison of Artificial Neural Networks and Multiple Regression in the Context of Research on Personality and Work Performance , 2010 .
[76] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[77] Daniel Enache,et al. Analyzing Credit Risk Data: A Comparison of Logistic Discrimination, Classification Tree Analysis, a , 1997 .
[78] Edward E. Cureton,et al. Validity, Reliability, and Baloney , 1950 .
[79] Kevin R. Murphy,et al. Individual differences and behavior in organizations , 1996 .
[80] Victoria A. Shaffer,et al. Binary recursive partitioning: background, methods, and application to psychology. , 2011, The British journal of mathematical and statistical psychology.
[81] K. Lunetta,et al. Identifying SNPs predictive of phenotype using random forests , 2005, Genetic epidemiology.
[82] Kevin Terrance Petway. Applying adaptive methods and classical scale reduction techniques to data from the Big Five Inventory , 2010 .
[83] Mark John Somers,et al. Using Artificial Neural Networks to Model Nonlinearity , 2009 .
[84] Alessandra Marinoni,et al. Classification methods for the identification of `case' in epidemiological diagnosis of asthma , 2004, European Journal of Epidemiology.
[85] Joyce Hogan,et al. Personality Measurement and Employment Decisions. Questions and Answers. , 1996 .
[86] Jeffrey M. Cucina,et al. Personality and training proficiency: Issues of bandwidth‐fidelity and curvilinearity , 2007 .
[87] R. L. Dipboye,et al. RECONSIDERING THE USE OF PERSONALITY TESTS IN PERSONNEL SELECTION CONTEXTS , 2007 .
[88] Laura M. Koehly,et al. Linear Discriminant Analysis Versus Logistic Regression: A Comparison of Classification Errors in the Two-Group Case , 2003 .
[89] M. R. Novick,et al. Statistical Theories of Mental Test Scores. , 1971 .
[90] Robert M. Guion,et al. Personnel assessment, selection, and placement. , 1991 .
[91] Murray R. Barrick,et al. The interactive effects of conscientiousness and agreeableness on job performance. , 2002, The Journal of applied psychology.
[92] In-Sue Oh,et al. INCREMENTAL VALIDITY OF PERCEPTUAL SPEED AND ACCURACY OVER GENERAL MENTAL ABILITY , 2008 .
[93] A. Ryan,et al. Effects of Nonlinearity and Heteroscedasticity on the Validity of Conscientiousness in Predicting Overall Job Performance , 1999 .
[94] Ken Kelley,et al. A Comparison of Two-Group Classification Methods , 2011 .
[95] David W. Hosmer,et al. Applied Logistic Regression , 1991 .
[96] Robert E. Ployhart,et al. A Monte Carlo Comparison of Relative Importance Methodologies , 2004 .
[97] Kristen Bell DeTienne,et al. Neural Networks as Statistical Tools for Business Researchers , 2003 .
[98] D V Budescu,et al. Criticality of predictors in multiple regression. , 2001, The British journal of mathematical and statistical psychology.
[99] John Mingers,et al. Neural Networks, Decision Tree Induction and Discriminant Analysis: an Empirical Comparison , 1994 .
[100] P. Horst,et al. Pattern analysis and configural scoring. , 1954, Journal of clinical psychology.
[101] D. Preatoni,et al. IDENTIFYING BATS FROM TIME-EXPANDED RECORDINGS OF SEARCH CALLS: COMPARING CLASSIFICATION METHODS , 2005 .
[102] D. A. Kenny,et al. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.
[103] D. Budescu. Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. , 1993 .
[104] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[105] Murray R. Barrick,et al. THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META-ANALYSIS , 1991 .
[106] Jeffrey R. Edwards,et al. On the Use of Polynomial Regression Equations As An Alternative to Difference Scores in Organizational Research , 1993 .
[107] A. Furnham. Response bias, social desirability and dissimulation , 1986 .
[108] Jeff M. Allen,et al. Unraveling the Differential Effects of Motivational and Skills, Social, and Self-Management Measures from Traditional Predictors of College Outcomes. , 2006 .
[109] Brian D. Ripley,et al. Neural Networks and Related Methods for Classification , 1994 .
[110] Wenbiao Hu,et al. The relationship between culture, attitude, social networks and quality of life in midlife Australian and Taiwanese citizens. , 2007, Maturitas.
[111] Michael A. McDaniel,et al. Linearity of Personality–Performance Relationships: A Large-Scale Examination , 2010 .
[112] Mark L. Davison,et al. Profile Patterns: Research and Professional Interpretation. , 2000 .
[113] Paul R. Sackett,et al. MULTI‐STAGE SELECTION STRATEGIES: A MONTE CARLO INVESTIGATION OF EFFECTS ON PERFORMANCE AND MINORITY HIRING , 1996 .
[114] George M. Alliger,et al. The Susceptibility of Overt and Covert Integrity Tests to Coaching and Faking , 1996 .
[115] Holmes Finch,et al. Classification Accuracy of Neural Networks vs. Discriminant Analysis, Logistic Regression, and Classification and Regression Trees , 2007 .
[116] M. Eliot,et al. Tree-based methods and a mixed ridge estimator for analyzing longitudinal data with correlated predictors , 2011 .
[117] Philip L. Roth,et al. DERIVATION AND IMPLICATIONS OF A META‐ANALYTIC MATRIX INCORPORATING COGNITIVE ABILITY, ALTERNATIVE PREDICTORS, AND JOB PERFORMANCE , 1999 .
[118] Kevin R. Murphy,et al. Why Don't Measures of Broad Dimensions of Personality Perform Better As Predictors of Job Performance? , 2005 .
[119] J. Hollenbeck,et al. An Empirical Note on the Interaction of Personality and Aptitude in Personnel Selection , 1988 .
[120] L. Witt,et al. Social skill as moderator of the conscientiousness-performance relationship: convergent results across four studies. , 2003, The Journal of applied psychology.
[121] T. Judge,et al. IN SUPPORT OF PERSONALITY ASSESSMENT IN ORGANIZATIONAL SETTINGS , 2007 .
[122] Cindy S. Bergeman,et al. What contributes to perceived stress in later life? A recursive partitioning approach. , 2011, Psychology and aging.
[123] Michael A. Campion,et al. PROFILES IN QUITTING: INTEGRATING PROCESS AND CONTENT TURNOVER THEORY , 2004 .