Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial

The earth is round (p < .05).

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American Educational Research Journal, 1964-1968

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An Inquiry concerning human understanding

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Multiple regression as a general data-analytic system.

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Applied Discriminant Analysis.

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The case against statistical significance testing

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Advances in Social Science Methodology

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Applied Discriminant Analysis

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Canonical correlation analysis: A general parametric significance-testing system.

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Evaluating Results Using Corrected and Uncorrected Effect Size Estimates

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The Importance of Structure Coefficients in Regression Research

Thompson, B., & Borrello, G. M. (1985) · Educational and Psychological Measurement · doi:10.1177/001316448504500202 · Cited by 222 · see citing works

Educational and Psychological Measurement

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The Is-Ought Question

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A Primer on the Logic and Use of Canonical Correlation Analysis.

Thompson, B. (1991) · Measurement and Evaluation in Counseling and Development · Cited by 168 · see citing works

The Pivotal Role of Replication in Psychological Research: Empirically Evaluating the Replicability of Sample Results

Thompson, B. (1994) · Journal of Personality · doi:10.1111/j.1467-6494.1994.tb00289.x · Cited by 129 · see citing works

Computations for Variable Selection in Discriminant Analysis

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Advances in educational research : substantive findings, methodological developments

Thompson, B. (1991) · JAI Press eBooks · Cited by 61 · see citing works

Why Won't Stepwise Methods Die?

Thompson, B. (1989) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.1989.12022899 · Cited by 61 · see citing works

Children's Beliefs About Sources of Health: A Reliability and Validity Study

Thompson, B., Butcher, A., & Berenson, G. S. (1987) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.1987.12022853 · Cited by 44 · see citing works

Finding a Correction for the Sampling Error in Multivariate Measures of Relationship: A Monte Carlo Study

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An Epistemology of Practical Research

Strike, K. A. (1979) · Educational Researcher · doi:10.3102/0013189x008001010 · Cited by 31 · see citing works

The Interpretation of Multiple Regression Via Overlapping Rings

Creager, J. A. (1969) · American Educational Research Journal · doi:10.2307/1162267 · Cited by 9 · see citing works

Comments: The Interpretation of Multiple Regression Via Overlapping Rings

Creager, J. A. (1969) · American Educational Research Journal · doi:10.3102/00028312006004706 · Cited by 5 · see citing works

Un sistema de clasificación de los diseños de investigación en psicología

Ato, M., López-García, J. J., & Benavente, A. (2013) · Anales de Psicología · doi:10.6018/analesps.29.3.178511 · Cited by 2,254 · see citing works

What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models

Babyak, M. A. (2004) · Psychosomatic Medicine · doi:10.1097/01.psy.0000127692.23278.a9 · Cited by 2,061 · see citing works

Students under lockdown: Comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland

Elmer, T., Mepham, K., & Stadtfeld, C. (2020) · PLOS ONE · doi:10.1371/journal.pone.0236337 · Cited by 1,421 · see citing works

Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package

Lai, J., Zou, Y., Zhang, J., & Peres‐Neto, P. R. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13800 · Cited by 1,279 · see citing works

Factor Analytic Evidence for the Construct Validity of Scores: A Historical Overview and Some Guidelines

Thompson, B., & Daniel, L. G. (1996) · Educational and Psychological Measurement · doi:10.1177/0013164496056002001 · Cited by 919 · see citing works

Evidence-Based Secondary Transition Predictors for Improving Postschool Outcomes for Students With Disabilities

Test, D. W., Mazzotti, V. L., Mustian, A. L., Fowler, C. H., Kortering, L., & Kohler, P. (2009) · Career Development for Exceptional Individuals · doi:10.1177/0885728809346960 · Cited by 884 · see citing works

Sensitivity and specificity of information criteria

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Management Research Methods

Tharenou, P., Donohue, R., & Cooper, B. K. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810527 · Cited by 687 · see citing works

Why do lie-catchers fail? A lens model meta-analysis of human lie judgments.

Hartwig, M., & Bond, C. F. (2011) · Psychological Bulletin · doi:10.1037/a0023589 · Cited by 617 · see citing works

Engagement in Academic Work: The Role of Learning Goals, Future Consequences, Pleasing Others, and Perceived Ability

Miller, R. B., Greene, B. A., Montalvo, G. P., Ravindran, B., & Nichols, J. D. (1996) · Contemporary Educational Psychology · doi:10.1006/ceps.1996.0028 · Cited by 609 · see citing works

The Incremental Validity of Psychological Testing and Assessment: Conceptual, Methodological, and Statistical Issues.

Hunsley, J. D., & Meyer, G. J. (2003) · Psychological Assessment · doi:10.1037/1040-3590.15.4.446 · Cited by 569 · see citing works

Ethical Machine Learning in Healthcare

Chen, I. Y., Pierson, E., Rose, S., Joshi, S., Ferryman, K., & Ghassemi, M. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-092820-114757 · Cited by 645 · see citing works

Step away from stepwise

Smith, G. (2018) · Journal Of Big Data · doi:10.1186/s40537-018-0143-6 · Cited by 556 · see citing works

Multivariate Analysis of Variance and Covariance

Huberty, C. J., & Petoskey, M. D. (2000) · Elsevier eBooks · doi:10.1016/b978-012691360-6/50008-2 · Cited by 493 · see citing works

Interpreting Multiple Linear Regression: A Guidebook of Variable Importance

Nathans, L., Oswald, F. L., & Nimon, K. (2020) · doi:10.7275/5fex-b874 · Cited by 479 · see citing works

Personal Growth Initiative: The Construct and Its Measure

Robitschek, C. (1998) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.1998.12068941 · Cited by 467 · see citing works

Use of Structure Coefficients in Published Multiple Regression Articles: Β Is Not Enough

Courville, T., & Thompson, B. (2001) · Educational and Psychological Measurement · doi:10.1177/0013164401612006 · Cited by 460 · see citing works

Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability Across Studies

Vacha‐Haase, T. (1998) · Educational and Psychological Measurement · doi:10.1177/0013164498058001002 · Cited by 451 · see citing works

Using Lasso for Predictor Selection and to Assuage Overfitting: A Method Long Overlooked in Behavioral Sciences

McNeish, D. (2015) · Multivariate Behavioral Research · doi:10.1080/00273171.2015.1036965 · Cited by 443 · see citing works

Hierarchical Multiple Regression in Counseling Research: Common Problems and Possible Remedies

Petrocelli, J. V. (2003) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2003.12069076 · Cited by 385 · see citing works

Research methods in sport and exercise psychology: quantitative and qualitative issues

Biddle, S., Markland, D. A., Gilbourne, D., Chatzisarantis, N. L. D., & Sparkes, A. C. (2001) · Journal of Sports Sciences · doi:10.1080/026404101317015438 · Cited by 379 · see citing works

Multiple Regression in L2 Research: A Methodological Synthesis and Guide to Interpreting R 2 Values

Plonsky, L., & Ghanbar, H. (2018) · Modern Language Journal · doi:10.1111/modl.12509 · Cited by 322 · see citing works

The characteristics of invasive fishes: what has been learned so far?

García‐Berthou, E. (2007) · Journal of Fish Biology · doi:10.1111/j.1095-8649.2007.01668.x · Cited by 309 · see citing works

Using commonality analysis in multiple regressions: a tool to decompose regression effects in the face of multicollinearity

Ray‐Mukherjee, J., Nimon, K., Mukherjee, S., Morris, D. W., Slotow, R., & Hamer, M. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12166 · Cited by 304 · see citing works

Evaluating the Quality of Evidence from Correlational Research for Evidence-Based Practice

Thompson, B., Diamond, K. E., McWilliam, R. A., Snyder, P., & Snyder, S. W. (2005) · Exceptional Children · doi:10.1177/001440290507100204 · Cited by 273 · see citing works

The Central Role of Gastrointestinal-Specific Anxiety in Irritable Bowel Syndrome: Further Validation of the Visceral Sensitivity Index

Labus, J. S., Mayer, E. A., Chang, L., Bolus, R., & Naliboff, B. D. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31802e2f24 · Cited by 257 · see citing works

Quality of Care of People With Type 2 Diabetes in Eight European Countries

Stone, M. A., Charpentier, G., Doggen, K., Kuß, O., Lindblad, U., Kellner, C., Nolan, J. J., Pazderska, A., Rutten, G. E. H. M., Trento, M., et al. (2013) · Diabetes Care · doi:10.2337/dc12-1759 · Cited by 258 · see citing works

Differentiation of mild cognitive impairment using an entorhinal cortex-based test of virtual reality navigation

Howett, D., Castegnaro, A., Krzywicka, K., Hagman, J., Marchment, D., Henson, R. N., Rio, M., King, J. A., Burgess, N., & Chan, D. (2019) · Brain · doi:10.1093/brain/awz116 · Cited by 231 · see citing works

Reliability and Validity of the Personality Inventory for DSM-5 (PID-5)

Fossati, A., Krueger, R. F., Markon, K. E., Borroni, S., & Maffei, C. (2013) · Assessment · doi:10.1177/1073191113504984 · Cited by 235 · see citing works

Cognitive, Affective, Personality, and Demographic Predictors of Foreign-Language Achievement

Onwuegbuzie, A. J., Bailey, P., & Daley, C. E. (2000) · The Journal of Educational Research · doi:10.1080/00220670009598738 · Cited by 232 · see citing works

An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example

Nimon, K., Lewis, M. E., Kane, R., & Haynes, R. M. (2008) · Behavior Research Methods · doi:10.3758/brm.40.2.457 · Cited by 231 · see citing works

Promise and pitfalls of structural equation modeling in gifted research.

Kline, R. B. (2010) · American Psychological Association eBooks · doi:10.1037/12079-007 · Cited by 230 · see citing works

Confidence Intervals for Effect Sizes

Fan, X., & Thompson, B. (2001) · Educational and Psychological Measurement · doi:10.1177/0013164401614001 · Cited by 219 · see citing works

Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability

Hennessy, A., Clarke, K. D., & Lewis, M. M. (2020) · Remote Sensing · doi:10.3390/rs12010113 · Cited by 217 · see citing works

Lie Detection from Multiple Cues: A Meta‐analysis

Hartwig, M., & Bond, C. F. (2014) · Applied Cognitive Psychology · doi:10.1002/acp.3052 · Cited by 210 · see citing works

Significance, Effect Sizes, Stepwise Methods, and Other Issues: Strong Arguments Move the Field

Thompson, B. (2001) · The Journal of Experimental Education · doi:10.1080/00220970109599499 · Cited by 241 · see citing works

Typology of Analytical and Interpretational Errors in Quantitative and Qualitative Educational Research

Onwuegbuzie, A. J., & Daniel, L. G. (2003) · Current Issues in Education · Cited by 200 · see citing works

Global Warming’s “Six Americas Short Survey”: Audience Segmentation of Climate Change Views Using a Four Question Instrument

Chryst, B., Marlon, J. R., van der Linden, S., Leiserowitz, A., Maibach, E. W., & Roser‐Renouf, C. (2018) · Environmental Communication · doi:10.1080/17524032.2018.1508047 · Cited by 205 · see citing works

Confidence Intervals About Score Reliability Coefficients, Please: An EPM Guidelines Editorial

Fan, X., & Thompson, B. (2001) · Educational and Psychological Measurement · doi:10.1177/00131640121971365 · Cited by 191 · see citing works

Active Finger Extension Predicts Outcomes After Constraint-Induced Movement Therapy for Individuals With Hemiparesis After Stroke

Fritz, S. L., Light, K. E., Patterson, T. S., Behrman, A. L., & Davis, S. B. (2005) · Stroke · doi:10.1161/01.str.0000165922.96430.d0 · Cited by 176 · see citing works

Assessment of Healthcare Decision-making Capacity

Palmer, B. W., & Harmell, A. L. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw051 · Cited by 166 · see citing works

Prognostic Indicators of Low Back Pain in Primary Care: Five-Year Prospective Study

Campbell, P., Foster, N. E., Thomas, E., & Dunn, K. M. (2013) · Journal of Pain · doi:10.1016/j.jpain.2013.03.013 · Cited by 152 · see citing works

The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry

Anguera, M. T., Foguet, O. C., Balcells, M. C., Sánchez-Algarra, P., & Onwuegbuzie, A. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02196 · Cited by 147 · see citing works

Methodological Issues in Soccer Talent Identification Research

Bergkamp, T. L. G., Niessen, A. S. M., Hartigh, R. J. R. D., Frencken, W. G. P., & Meijer, R. R. (2019) · Sports Medicine · doi:10.1007/s40279-019-01113-w · Cited by 155 · see citing works

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images

Guo, Y., Chen, S., Li, X., Cunha, M., Senthilnath, J., Cammarano, D., & Fu, Y. H. (2022) · Remote Sensing · doi:10.3390/rs14061337 · Cited by 144 · see citing works

Effects of the Attributes of Educational Interventions on Students’ Academic Performance

de Boer, H., Donker, A. S., & van der Werf, G. P. C. (2014) · Review of Educational Research · doi:10.3102/0034654314540006 · Cited by 141 · see citing works

What makes an engaged employee? A facet-level approach to trait emotional intelligence as a predictor of employee engagement

Barreiro, C., & Treglown, L. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.109892 · Cited by 131 · see citing works

Sexing Birds Using Discriminant Function Analysis: A Critical Appraisal

Dechaume‐Moncharmont, F., Monceau, K., & Cézilly, F. (2011) · The Auk · doi:10.1525/auk.2011.10129 · Cited by 131 · see citing works

A data visualization and data mining approach to response and non-response analysis in survey research

Yu, C. H., Jannasch-Pennell, A. K., DiGangi, S. A., Kim, C., & Andrews, S. S. (2020) · Scholarworks (University of Massachusetts Amherst) · doi:10.7275/pb3d-n437 · Cited by 128 · see citing works

PERSPECTIVE—Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests

Schwab, A., Abrahamson, E., Starbuck, W. H., & Fidler, F. M. (2010) · Organization Science · doi:10.1287/orsc.1100.0557 · Cited by 129 · see citing works

Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming

Zheng, C., Abd-Elrahman, A. H., & Whitaker, V. M. (2021) · Remote Sensing · doi:10.3390/rs13030531 · Cited by 128 · see citing works

Diagnosing attention deficit disorders with the Behavioral Assessment System for Children and the Child Behavior Checklist: Test and construct validity analyses using optimal discriminant classification trees.

Ostrander, R., Weinfurt, K. P., Yarnold, P. R., & August, G. J. (1998) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.66.4.660 · Cited by 128 · see citing works

What makes articles highly cited?

Antonakis, J., Bastardoz, N., Liu, Y., & Schriesheim, C. A. (2014) · The Leadership Quarterly · doi:10.1016/j.leaqua.2013.10.014 · Cited by 148 · see citing works

A Critical Examination of the Relationship between Emotional Intelligence and Transformational Leadership

Lindebaum, D., & Cartwright, S. (2010) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00933.x · Cited by 123 · see citing works

Comparing Sentinel-2 MSI and Landsat 8 OLI in soil salinity detection: a case study of agricultural lands in coastal North Carolina

Pierel, E. D., Wang, C., & Dow, K. M. (2019) · International Journal of Remote Sensing · doi:10.1080/01431161.2019.1587205 · Cited by 115 · see citing works

Bovid postcranial ecomorphological survey of the Laetoli paleoenvironment

Kovarovic, K., & Andrews, P. (2007) · Journal of Human Evolution · doi:10.1016/j.jhevol.2007.01.001 · Cited by 114 · see citing works

Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning

Abdulridha, J., Ampatzidis, Y. G., Qureshi, J. A., & Roberts, P. (2020) · Remote Sensing · doi:10.3390/rs12172732 · Cited by 110 · see citing works

Commonality Analysis: Partitioning Variance to Facilitate Better Understanding of Data

Zientek, L. R., & Thompson, B. (2006) · Journal of Early Intervention · doi:10.1177/105381510602800405 · Cited by 108 · see citing works

Spectrophotometric assessment of pigmented skin lesions: methods and feature selection for evaluation of diagnostic performance

Wallace, V. P., Crawford, D. C., Mortimer, P. S., Ott, R. J., & Bamber, J. C. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/45/3/312 · Cited by 107 · see citing works

Boston Naming Test Short Forms: A Comparison of Previous Forms with New Item Response Theory Based Forms

Graves, R. E., Bezeau, S., Fogarty, J., & Blair, R. (2004) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390490510716 · Cited by 101 · see citing works

Why the resistance to statistical innovations? Bridging the communication gap.

Sharpe, D. (2013) · Psychological Methods · doi:10.1037/a0034177 · Cited by 103 · see citing works

Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature

Zientek, L. R., & Thompson, B. (2009) · Educational Researcher · doi:10.3102/0013189x09339056 · Cited by 99 · see citing works

A Data Mining Approach for Identifying Predictors of Student Retention from Sophomore to Junior Year

Yu, C. H., DiGangi, S. A., Jannasch-Pennell, A. K., & Kaprolet, C. M. (2021) · Journal of Data Science · doi:10.6339/jds.2010.08(2).574 · Cited by 96 · see citing works

Discriminant Analysis

Brown, M. T., & Wicker, L. R. (2000) · Elsevier eBooks · doi:10.1016/b978-012691360-6/50009-4 · Cited by 96 · see citing works

Statistical Significance Testing: A Historical Overview of Misuse and Misinterpretation with Implications for the Editorial Policies of Educational Journals

Daniel, L. G. (1998) · Research in the schools · Cited by 93 · see citing works

Semi-supervised DNN regression on airborne hyperspectral imagery for improved spatial soil properties prediction

Ou, D., Tan, K., Lai, J., Jia, X., Wang, X., Chen, Y., & Li, J. (2020) · Geoderma · doi:10.1016/j.geoderma.2020.114875 · Cited by 91 · see citing works

Statistical Techniques Employed inAERJandJCPArticles from 1988 to 1997: A Methodological Review

Kieffer, K. M., Reese, R. J., & Thompson, B. (2001) · The Journal of Experimental Education · doi:10.1080/00220970109599489 · Cited by 91 · see citing works

Annual Meeting of the American Educational Research Association

Jerome, D. (2002) · Cited by 91 · see citing works

Using adaptive network-based fuzzy inference system to forecast automobile sales

Wang, F., Chang, K.-K., & Tzeng, C.-W. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.02.100 · Cited by 89 · see citing works

(Generalized Linear) Mixed‐Effects Modeling: A Learner Corpus Example

Gries, S. Τ. (2021) · Language Learning · doi:10.1111/lang.12448 · Cited by 87 · see citing works

Predicting early grade retention: A longitudinal investigation of primary school progress in a sample of rural South African children

Liddell, C., & Rae, G. (2001) · British Journal of Educational Psychology · doi:10.1348/000709901158596 · Cited by 84 · see citing works

The association of specific neuropsychological deficits with capacity to consent to research or treatment

Palmer, B. W., & Savla, G. N. (2007) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617707071299 · Cited by 82 · see citing works

Characteristics of respondents who respond differently to positively and negatively worded items on rating scales

Weems, G. H., Onwuegbuzie, A. J., Schreiber, J. B., & Eggers, S. J. (2003) · Assessment & Evaluation in Higher Education · doi:10.1080/0260293032000130234 · Cited by 82 · see citing works

Role of Study Skills in Graduate-Level Educational Research Courses

Onwuegbuzie, A. J., Slate, J. R., & Schwartz, R. A. (2001) · The Journal of Educational Research · doi:10.1080/00220670109598757 · Cited by 81 · see citing works

Magnetite as an Indicator Mineral in the Exploration of Porphyry Deposits: A Case Study in Till near the Mount Polley Cu-Au Deposit, British Columbia, Canada

Pisiak, L. K., Canil, D., Lacourse, T., Plouffe, A., & Ferbey, T. (2017) · Economic Geology · doi:10.2113/econgeo.112.4.919 · Cited by 80 · see citing works

Chlorophyll estimation using multi-spectral unmanned aerial system based on machine learning techniques

Singhal, G., Bansod, B. S., Mathew, L., Goswami, J., Choudhury, B. U., & Raju, P. L. N. (2019) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2019.100235 · Cited by 80 · see citing works

A Progressive Supervised-learning Approach to Generating Rich Civil Strife Data

Nardulli, P. F., Althaus, S. L., & Hayes, M. (2015) · Sociological Methodology · doi:10.1177/0081175015581378 · Cited by 78 · see citing works

Hand grip strength determination for healthy males in Saudi Arabia: A study of the relationship with age, body mass index, hand length and forearm circumference using a hand-held dynamometer

Alahmari, K. A., Samuel, P. S., Reddy, R. S., Kakaraparthi, V. N., Ahmad, I., & Alam, M. M. (2017) · Journal of International Medical Research · doi:10.1177/0300060516688976 · Cited by 77 · see citing works

A Comprehensive Review on Food Waste Reduction Based on IoT and Big Data Technologies

Ahmadzadeh, S., Ajmal, T., Ramanathan, R., & Duan, Y. (2023) · Sustainability · doi:10.3390/su15043482 · Cited by 77 · see citing works

Sex determination by discriminant analysis: an evaluation of the reliability of patella measurements

Kemkes-Grottenthaler, A. (2004) · Forensic Science International · doi:10.1016/j.forsciint.2004.09.075 · Cited by 77 · see citing works

Using learning style to predict foreign language achievement at the college level

Bailey, P., Onwuegbuzie, A. J., & Daley, C. E. (2000) · System · doi:10.1016/s0346-251x(99)00064-0 · Cited by 77 · see citing works

Annual Meeting of the Southwest Educational Research Association

Date, P. (2001) · Cited by 77 · see citing works

Tongue coating: related factors

Tornout, M. V., Dadamio, J., Coucke, W., & Quirynen, M. (2012) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12031 · Cited by 76 · see citing works

Analysis and Interpretation of Findings Using Multiple Regression Techniques

Hoyt, W. T., Leierer, S. J., & Millington, M. J. (2006) · Rehabilitation Counseling Bulletin · doi:10.1177/00343552060490040401 · Cited by 76 · see citing works

Two's Company: Composition, Structure and Performance of Entrepreneurial Pairs

Coad, A., & Timmermans, B. (2012) · European Management Review · doi:10.1111/emre.12030 · Cited by 79 · see citing works

Self-reported emotional intelligence and life satisfaction: Testing incremental predictive validity hypotheses via structural equation modeling (SEM) in a small sample

Gignac, G. E. (2006) · Personality and Individual Differences · doi:10.1016/j.paid.2006.01.001 · Cited by 75 · see citing works

Finding structure in data using multivariate tree boosting.

Miller, P. J., Lubke, G. H., McArtor, D. B., & Bergeman, C. S. (2016) · Psychological Methods · doi:10.1037/met0000087 · Cited by 75 · see citing works

Public Acceptance of Nature-Based Solutions for Natural Hazard Risk Reduction: Survey Findings From Three Study Sites in Europe

Anderson, C. C., Renaud, F. G., Hanscomb, S., Munro, K. E., Ollauri, A. G., Thomson, C., Pouta, E., Soini, K., Loupis, M., Panga, D., et al. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.678938 · Cited by 74 · see citing works

Estimating Risk Tolerance: The Degree of Accuracy and the Paramorphic Representations of the Estimate

Roszkowski, M. J., & Grable, J. E. (2008) · Cited by 73 · see citing works

Multi-Campus Studies of College Impact: Which Statistical Method is Appropriate?

Astin, A. W., & Denson, N. (2009) · Research in Higher Education · doi:10.1007/s11162-009-9121-3 · Cited by 72 · see citing works

Looking for validity or testing it? The perils of stepwise regression, extreme-scores analysis, heteroscedasticity, and measurement error

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