Alchemy in the behavioral sciences

An exploratory technique for investigating large quantities of categorical data

Kass, G. V. (1980) · Applied Statistics · doi:10.2307/2986296 · Cited by 2,880 · see citing works

The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications

Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012) · Long Range Planning · doi:10.1016/j.lrp.2012.09.008 · Cited by 2,454 · see citing works

Fifty Years of Classification and Regression Trees

Loh, W. (2014) · International Statistical Review · doi:10.1111/insr.12016 · Cited by 665 · see citing works

A method of choosing multiway partitions for classification and decision trees

Biggs, D., de Ville, B., & Suen, E. (1991) · Journal of Applied Statistics · doi:10.1080/02664769100000005 · Cited by 574 · see citing works

Psychographics: A Critical Review

Wells, W. D. (1975) · Journal of Marketing Research · doi:10.1177/002224377501200210 · Cited by 529 · see citing works

CART (Classification and Regression Trees)

(2004) · The SAGE Encyclopedia of Social Science Research Methods · doi:10.4135/9781412950589.n88 · Cited by 430 · see citing works

Illusions in regression analysis

Armstrong, J. S. (2012) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2012.02.001 · Cited by 327 · see citing works

Judgment and Decision Making Research in Auditing: A Task, Person, and Interpersonal Interaction Perspective

Nelson, M. W., & Tan, H. (2005) · Auditing A Journal of Practice & Theory · doi:10.2308/aud.2005.24.supplement.41 · Cited by 305 · see citing works

Multiple Comparisons in Induction Algorithms

Jensen, D. D., & Cohen, P. R. (2000) · Machine Learning · doi:10.1023/a:1007631014630 · Cited by 241 · see citing works

The use of classification and regression trees in clinical epidemiology

Marshall, R. J. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00344-9 · Cited by 213 · see citing works

A primer on theory-driven web scraping: Automatic extraction of big data from the Internet for use in psychological research.

Landers, R. N., Brusso, R. C., Cavanaugh, K. J., & Collmus, A. B. (2016) · Psychological Methods · doi:10.1037/met0000081 · Cited by 195 · see citing works

CART: Classification and Regression Trees

Steinberg, D. (2009) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420089653-17 · Cited by 166 · see citing works

DISTINGUISHING FACTS AND ARTIFACTS IN GROUP‐BASED MODELING*

Skarðhamar, T. (2010) · Criminology · doi:10.1111/j.1745-9125.2010.00185.x · Cited by 141 · see citing works

Judgment and Decision Making Research in Auditing: A Task, Person, and Interpersonal Interaction Perspective

Nelson, M., & Tan, H. (2005) · Auditing A Journal of Practice & Theory · doi:10.2308/aud.2005.24.s-1.41 · Cited by 130 · see citing works

Social Class and Parental Values for Children: A Partial Replication and Extension of the Kohn Thesis

Wright, J. D., & Wright, S. R. (1976) · American Sociological Review · doi:10.2307/2094258 · Cited by 122 · see citing works

The bias bias

Brighton, H., & Gigerenzer, G. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.01.061 · Cited by 110 · see citing works

Judgment and Decision Making Research in Auditing: A Task, Person, and Interpersonal Interaction PerspectivePreprint

Nelson, M. W., & Tan, H. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.761706 · Cited by 88 · see citing works

kNN: k-Nearest Neighbors

Steinbach, M. S., & Tan, P.-N. (2009) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420089653-15 · Cited by 87 · see citing works

A survey of human judgement and quantitative forecasting methods

Zellner, M., Abbas, A. E., Budescu, D., & Galstyan, A. (2021) · Royal Society Open Science · doi:10.1098/rsos.201187 · Cited by 63 · see citing works

Illusions in Regression Analysis

Armstrong, J. S. (2011) · doi:10.2139/ssrn.1969740 · Cited by 73 · see citing works

SVM: Support Vector Machines

Xue, H., Yang, Q., & Chen, S. (2009) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420089653-10 · Cited by 75 · see citing works

A Psychographic Classification of Vacation Life Styles

Perreault, W. D., Darden, D. K., & Darden, W. R. (1977) · Journal of Leisure Research · doi:10.1080/00222216.1977.11970330 · Cited by 61 · see citing works

Prognostic Factors in Mammary Carcinoma

Wallgren, A., Silfverswärd, C., & EKLUND, G. A. (1976) · Acta Radiologica Therapy Physics Biology · doi:10.3109/02841867609132703 · Cited by 58 · see citing works

Review

Zinkhan, G. M., & Pereira, A. (1994) · International Journal of Research in Marketing · doi:10.1016/0167-8116(94)90001-9 · Cited by 52 · see citing works

CHAID and Earlier Supervised Tree Methods

Ritschard, G. (2013) · Routledge eBooks · doi:10.4324/9780203403020-11 · Cited by 45 · see citing works

Forecasting methods and principles: Evidence-based checklists

Armstrong, J. S., & Green, K. C. (2018) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2018.1441735 · Cited by 44 · see citing works

Data mining with genetic algorithms on binary trees

Sörensen, K., & Janssens, G. K. (2003) · European Journal of Operational Research · doi:10.1016/s0377-2217(02)00824-x · Cited by 40 · see citing works

Partitioning methods for classification and decision making in medicine

Marshall, R. J. (1986) · Statistics in Medicine · doi:10.1002/sim.4780050516 · Cited by 38 · see citing works

Predictive Modeling of Multivariable and Multivariate Data

Gillo, M. W., & Shelly, M. W. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10480182 · Cited by 37 · see citing works

Market Segmentation with Multivariate Aid

MacLachlan, D. L., & Johansson, J. K. (1981) · Journal of Marketing · doi:10.1177/002224298104500108 · Cited by 34 · see citing works

DISCUSSION OF Judgment and Decision Making Research in Auditing: A Task, Person, and Interpersonal Interaction Perspective

Trotman, K. T. (2005) · Auditing A Journal of Practice & Theory · doi:10.2308/aud.2005.24.s-1.73 · Cited by 34 · see citing works

Blind Analysis as a Correction for Confirmatory Bias in Physics and in Psychology

MacCoun, R. J., & Perlmutter, S. (2017) · doi:10.1002/9781119095910.ch15 · Cited by 30 · see citing works

Applications of the General Linear Model to Survey Data

Berk, R. A. (1983) · Elsevier eBooks · doi:10.1016/b978-0-12-598226-9.50019-7 · Cited by 22 · see citing works

Attitudes towards deafness: hearing students at a hearing and deaf college.

Emerton, R. G., & Rothman, G. (1978) · PubMed · Cited by 20 · see citing works

Research Methodology in Communication: Review and Commentary

Cappella, J. N. (1977) · Annals of the International Communication Association · doi:10.1080/23808985.1977.11923669 · Cited by 20 · see citing works

The Vagaries and Vulgarities of "Scientific" Jury Selection

Berk, R. A., Hennessy, M., & Swan, J. (1977) · Evaluation Review · doi:10.1177/0193841x7700100106 · Cited by 19 · see citing works

The construction of computerized classification systems using machine learning algorithms: An overview

McKenzie, D. P., & Low, L. H. (1992) · Computers in Human Behavior · doi:10.1016/0747-5632(92)90001-u · Cited by 17 · see citing works

Data Mining at the Interface of Computer Science and Statistics

Smyth, P. (2001) · Massive computing · doi:10.1007/978-1-4615-1733-7_3 · Cited by 14 · see citing works

Discretionary Methodological Decisions in Applied Research

Berk, R. A. (1977) · Sociological Methods & Research · doi:10.1177/004912417700500303 · Cited by 12 · see citing works

Applying statistical knowledge to database analysis and knowledge base construction

de Ville, B. (2002) · Conference on Artificial Intelligence for Applications · doi:10.1109/caia.1990.89168 · Cited by 10 · see citing works

An Assessment of the Contribution of Log Linear Models to Marketing Research

Blattberg, R. C., & Dolan, R. J. (1981) · Journal of Marketing · doi:10.1177/002224298104500209 · Cited by 10 · see citing works

Cross-Validatory Selection of Binary Variables in Differential Diagnosis

Mabbett, A. J., Stone, M., & Washbrook, J. (1980) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2986306 · Cited by 9 · see citing works

Toward a New Payment System for Inpatient Rehabilitation

Saitto, C., Marino, C., Fusco, D., Arcà, M., & Perucci, C. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000173567.80190.32 · Cited by 8 · see citing works

Is there a Golden Rule?

Fildes, R. A., & Petropoulos, F. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.01.059 · Cited by 6 · see citing works

Gini’s mean difference offers a response to Leamer’s critique

Yitzhaki, S. (2015) · METRON · doi:10.1007/s40300-014-0057-9 · Cited by 6 · see citing works

Betting After the Race Is Over. The Perils of Post Hoc Hypothesizing

Payne, J. L., & Dyer, J. (1975) · American Journal of Political Science · doi:10.2307/2110545 · Cited by 5 · see citing works

Machine Learning and Forecasting: A Review

Potgieter, P. H. (2020) · Springer eBooks · doi:10.1007/978-3-030-40601-1_8 · Cited by 4 · see citing works

Benefit- und Lifestyle-Segmentierung

Balderjahn, I., & Scholderer, J. (2007) · Gabler Verlag eBooks · doi:10.1007/978-3-8349-9517-9_12 · Cited by 4 · see citing works

Ignorance, Arrogance, and Social Psychology: A Response to Helmreich

Thorngate, W. (1976) · Personality and Social Psychology Bulletin · doi:10.1177/014616727600200211 · Cited by 4 · see citing works

Segmented Linear Regression Trees

Zheng, X., & Chen, S. X. (2025) · Acta Mathematica Sinica English Series · doi:10.1007/s10114-025-3349-5 · Cited by 2 · see citing works

Fiendishly Difficult Questions: Possible Limits and Aesthetic Pleasures of Simulation

Thorngate, W. (2011) · Simulation & Gaming · doi:10.1177/1046878110396005 · Cited by 2 · see citing works

Predictive Models in Human Development Planning

Mishra, M., & Chatterjee, S. (2020) · Springer eBooks · doi:10.1007/978-981-15-4083-7_8 · Cited by 1 · see citing works

Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees

Janssens, G. K., Sösrensen, K., Limère, A., & Vanhoof, K. (2005) · Lecture notes in computer science · doi:10.1007/11430919_29 · Cited by 1 · see citing works

Knowledge evaluation: statistical evaluations

Jensen, D. D. (2002) · Oxford University Press eBooks · Cited by 1 · see citing works

INSTABILITY IN A TREE APPROACH TO REGRESSION

Kim, S. (1992) · ETS Research Report Series · doi:10.1002/j.2333-8504.1992.tb01431.x · Cited by 1 · see citing works

Reviews

Fienberg, S. E. (1975) · Social Indicators Research · doi:10.1007/bf00300474 · Cited by 1 · see citing works

Marktsegmentierung: Kategoriale Regression vs. Kontrastgruppenanalyse (Automatic Interaction Detector)

Hamerle, A. (1983) · University of Regensburg Publication Server (University of Regensburg) · doi:10.5283/epub.27231

EMPLOYING FINANCIAL ACCOUNTING STANDARDS FOR ENTITIES WITHOUT PUBLIC ACCOUNTABILITY FOR AUDITING

Akie Rusaktiva., R., & Nugraha, A. P. (2013) · EL MUHASABA Jurnal Akuntansi (e-Journal) · doi:10.18860/em.v3i2.2339

Reliability of the Aid Analysis in Samples from Fixed Populations

Kuusela, V., & Kronström, M. (1982) · Lecture notes in medical informatics · doi:10.1007/978-3-642-93201-4_113

The Use of Data in Developing Theory: Scientifically Acceptable or Alchemy?

Hunt, K. A. (2015) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-17046-6_91

Shaking the trees: Abilities and Capabilities of Regression and Decision Trees for Political Science

Waldhauser, C., & Hochreiter, R. (2017) · ITM Web of Conferences · doi:10.1051/itmconf/20171400009

Machine learning approaches for astrophysics and cosmology

Morice-Atkinson, X. (2019)

Visualization with Various Tree-based Regression Results in Health Information Data

Cho, H. S., & Lee, E. K. (2020) · Journal of Health Informatics and Statistics · doi:10.21032/jhis.2020.45.1.16

Gini's Mean Difference Offers a Response to Leamer's CritiquePreprint

Yitzhaki, S. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2410750

PREDICTIVE ANALYTICS FOR OPTIMIZING PRODUCT DEMAND AND SALES

(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets60467

Using computers in the behavioral sciences

Cozby, P. C. (1984) · Cited by 3 · see citing works

The Use of Data in Developing Theory: Scientifically Acceptable or Alchemy?

Hunt, K. A. (2015) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-17046-6_91

Behavior-genetic, or "experimental," analysis: The challenge of science versus the lure of technology.

Hirsch, J. (1967) · American Psychologist · doi:10.1037/h0024362 · Cited by 95 · see citing works

Beyond the Lab Critiquing the Limits of Experimental Methods in Behavioral Science

Ebrahimi-Nejad, D. G. E.-N. –. D. M. (2025) · doi:10.13140/rg.2.2.25467.58405

Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research

Klein, D. F. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.3.643-a · Cited by 175 · see citing works