Douglas Steinley

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All published works

Action	Title	Year	Authors
+	Teaching the Mechanics of Factor Analysis Using Excel Spreadsheets	2024	Michael J. Brusco Douglas Steinley Ashley L. Watts
+ PDF Chat	A white paper on good research practices in benchmarking: The case of cluster analysis	2023	Iven Van Mechelen Anne‐Laure Boulesteix Rainer Dangl Nema Dean Christian Hennig Friedrich Leisch Douglas Steinley Matthijs J. Warrens
+	Low-rank minres approximations for network association matrices when the main-diagonal is undetermined	2023	Michael J. Brusco Douglas Steinley Ashley L. Watts
+	Right-Sizing Growth Mixtures Models as Multi-Group Growth and Confirmatory Factor Models	2023	Phillip K. Wood Wolfgang Wiedermann Douglas Steinley
+	Critiques of network analysis of multivariate data in psychological science	2022	Zachary P. Neal Miriam K. Forbes Jennifer Watling Neal Michael J. Brusco Robert F. Krueger Kristian E. Markon Douglas Steinley Stanley Wasserman Aidan G.C. Wright
+ PDF Chat	A modified approach to fitting relative importance networks.	2022	Michael J. Brusco Ashley L. Watts Douglas Steinley
+	Annotated bibliography of critiques of psychometric network analysis	2022	Zachary P. Neal Miriam K. Forbes Jennifer Watling Neal Michael J. Brusco Robert F. Krueger Kristian Eric Markon Douglas Steinley Stanley Wasserman Aidan G.C. Wright
+	Critiques of network analysis of multivariate data in psychological science	2022	Zachary P. Neal Miriam K. Forbes Jennifer Watling Neal Michael J. Brusco Robert F. Krueger Kristian Eric Markon Douglas Steinley Stanley Wasserman Aidan G.C. Wright
+	Cross-sectional and longitudinal AUD symptom networks: They tell different stories	2022	William Conlin Michaela Hoffman Douglas Steinley Kenneth J. Sher
+	Causal Inference Approaches to Studying Recovery from Alcohol Use Disorder	2021	Douglas Steinley
+	Spectral Clustering of Psychological Networks	2021	Michael J. Brusco Douglas Steinley Ashley L. Watts
+ PDF Chat	Ising formulations of some graph-theoretic problems in psychological research: Models and methods	2021	Michael J. Brusco Clintin P. Davis‐Stober Douglas Steinley
+	Cross-sectional and Longitudinal AUD Symptom Networks: They Tell Different Stories	2021	William Conlin Michaela Hoffman Douglas Steinley Kenneth J. Sher
+	Spurious empirical support for the p-factor arises with the inclusion of undiagnosed cases	2021	Ashley L. Watts Francisco A. C. Meyer Ashley L. Greene Phillip K. Wood Timothy J. Trull Douglas Steinley Kenneth J. Sher
+ PDF Chat	Predictors of Symptom Course in Alcohol Use Disorder	2020	William Conlin Kenneth J. Sher Álvaro Vergés Michaela Hoffman Douglas Steinley
+	Building Theories on Top of, and Not Independent of, Statistical Models: The Case of the <i>p</i>-factor	2020	Ashley L. Watts Sean P. Lane Wes Bonifay Douglas Steinley Francisco A. C. Meyer
+ PDF Chat	Ising formulations of some graph-theoretic problems in psychological research: models and methods	2020	Michael J. Brusco Clintin P. Davis‐Stober Douglas Steinley
+	MAXIMAL CLIQUE AND GRAPH COLORING HEURISTICS FOR OVERLAPPING COMMUNITY DETECTION IN NETWORK PSYCHOMETRICS	2020	Michael J. Brusco Douglas Steinley Ashley L. Watts
+	A Modified Approach to Fitting Relative Importance Networks	2020	Michael J. Brusco Douglas Steinley
+ PDF Chat	Building theories on top of, and not independent of, statistical models: The case of the p-factor	2020	Ashley L. Watts Sean P. Lane Wes Bonifay Douglas Steinley Francisco A. C. Meyer
+	Does crude measurement contribute to observed unidimensionality of psychological constructs? An example with DSM-5 alcohol use disorder	2020	Ashley L. Watts Cassandra L. Boness Jordan E. Loeffelman Douglas Steinley Kenneth J. Sher
+ PDF Chat	Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models	2019	Teague R. Henry Kathleen M. Gates Mitchell J. Prinstein Douglas Steinley
+	<i>K</i>-medoids inverse regression	2018	Michael J. Brusco Douglas Steinley Jordan Stevens
+ PDF Chat	Editorial	2018	Douglas Steinley
+	Benchmarking in cluster analysis: A white paper	2018	Iven Van Mechelen Anne‐Laure Boulesteix Rainer Dangl Nema Dean Isabelle Guyon Christian Hennig Friedrich Leisch Douglas Steinley
+	Combinatorial Optimization of Clustering Decisions: An Application to Refine Psychiatric Diagnoses	2018	Jordan Stevens Douglas Steinley Cassandra L. Boness Timothy J. Trull trullt missouri.edu Kenneth J. Sher
+	Residual analysis for unidimensional scaling in the <i>L</i><sub>2</sub>-norm	2018	Michael J. Brusco Douglas Steinley Hans‐Friedrich Köhn
+	A note on the expected value of the Rand index	2017	Douglas Steinley Michael J. Brusco
+	Extending Growth Mixture Models Using Continuous Non-Elliptical Distributions	2017	Yu‐Hong Wei Yang Tang Emilie Shireman Paul D. McNicholas Douglas Steinley
+ PDF Chat	Editorial	2016	Douglas Steinley
+ PDF Chat	Local Optima in Mixture Modeling	2016	Emilie Shireman Douglas Steinley Michael J. Brusco
+ PDF Chat	Editorial	2016	Douglas Steinley
+	An evaluation of exact methods for the multiple subset maximum cardinality selection problem	2016	Michael J. Brusco Hans‐Friedrich Köhn Douglas Steinley
+ PDF Chat	Extracting Spurious Latent Classes in Growth Mixture Modeling With Nonnormal Errors	2016	Kiero Guerra-Peña Douglas Steinley
+ PDF Chat	Examining the effect of initialization strategies on the performance of Gaussian mixture modeling	2015	Emilie Shireman Douglas Steinley Michael J. Brusco
+	Right-sizing statistical models for longitudinal data.	2015	Phillip K. Wood Douglas Steinley Kristina M. Jackson
+	An Exact Method for Partitioning Dichotomous Items Within the Framework of the Monotone Homogeneity Model	2015	Michael J. Brusco Hans-Friedrich Köhn Douglas Steinley
+ PDF Chat	A note on using the adjusted Rand index for link prediction in networks	2015	Michaela Hoffman Douglas Steinley Michael J. Brusco
+ PDF Chat	Principal Cluster Axes: A Projection Pursuit Index for the Preservation of Cluster Structures in the Presence of Data Reduction	2012	Douglas Steinley Michael J. Brusco Richard N. Henson
+	Evaluating mixture modeling for clustering: Recommendations and cautions.	2011	Douglas Steinley Michael J. Brusco
+	Exact and approximate algorithms for variable selection in linear discriminant analysis	2010	Michael J. Brusco Douglas Steinley
+	Statistics in the Social Sciences: Current Methodological Developments	2010	Stanislav Kolenikov Douglas Steinley Lori A. Thombs
+	A Bootstrap Test of Shape Invariance Across Distributions	2010	Jeffrey N. Rouder Paul L. Speckman Douglas Steinley Michael S. Pratte Richard D. Morey
+	Order‐Constrained Proximity Matrix Representations: Ultrametric Generalizations and Constructions with MATLAB	2010	Lawrence J. Hubert Hans‐Friedrich Köhn Douglas Steinley
+	A resampling test of shape invariance across distributions	2010	Jeffrey N. Rouder Paul L. Speckman Douglas Steinley Michael S. Pratte Richard D. Morey
+	Neighborhood search heuristics for selecting hierarchically well‐formulated subsets in polynomial regression	2009	Michael J. Brusco Douglas Steinley
+	Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis	2009	Michael J. Brusco Renu Singh Douglas Steinley
+	A New Variable Weighting and Selection Procedure for <i>K</i>-means Cluster Analysis	2008	Douglas Steinley Michael J. Brusco
+	F. Murtagh (2005). Correspondence analysis and data coding with Java and R. 230 pp., US$76.00. ISBN 1584885289	2008	Douglas Steinley
+	An implicit enumeration method for an exact test of weighted kappa	2007	Michael J. Brusco Stephanie Stahl Douglas Steinley
+	Examining Factor Score Distributions to Determine the Nature of Latent Spaces	2007	Douglas Steinley Roderick P. McDonald
+	Categorical Data Analysis With SAS and SPSS Applications, Categorical Data Analysis Using the SAS System	2006	Douglas Steinley
+	OCLUS: An Analytic Method for Generating Clusters with Known Overlap	2005	Douglas Steinley Robert A. Henson

Common Coauthors

Coauthor	Papers Together
Michael J. Brusco	26
Ashley L. Watts	9
Michaela Hoffman	4
Kenneth J. Sher	4
Miriam K. Forbes	3
Robert F. Krueger	3
William Conlin	3
Stanley Wasserman	3
Emilie Shireman	3
Francisco A. C. Meyer	3
Jennifer Watling Neal	3
Phillip K. Wood	3
Zachary P. Neal	3
Aidan G.C. Wright	3
Hans‐Friedrich Köhn	3
Nema Dean	2
Kristian Eric Markon	2
Anne‐Laure Boulesteix	2
Sean P. Lane	2
Clintin P. Davis‐Stober	2
Paul L. Speckman	2
Rainer Dangl	2
Richard D. Morey	2
Jeffrey N. Rouder	2
Wes Bonifay	2
Timothy J. Trull	2
Michael S. Pratte	2
Iven Van Mechelen	2
Cassandra L. Boness	2
Christian Hennig	2
Friedrich Leisch	2
Jordan Stevens	2
Kenneth J. Sher	2
Mitchell J. Prinstein	1
Renu Singh	1
Paul D. McNicholas	1
Richard N. Henson	1
Kristian E. Markon	1
Isabelle Guyon	1
Wolfgang Wiedermann	1
Lawrence J. Hubert	1
Roderick P. McDonald	1
Kristina M. Jackson	1
Robert A. Henson	1
Álvaro Vergés	1
Lori A. Thombs	1
Kathleen M. Gates	1
Teague R. Henry	1
Hans-Friedrich Köhn	1
Yang Tang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Comparing partitions	1985	Lawrence J. Hubert Phipps Arabie	10
+	Branch-and-Bound Applications in Combinatorial Data Analysis	2005	Michael J. Brusco Stephanie Stahl	7
+	A study of standardization of variables in cluster analysis	1988	Glenn W. Milligan Martha C. Cooper	7
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	7
+	Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes.	2003	Daniel J. Bauer Patrick J. Curran	6
+	Evidence that psychopathology symptom networks have limited replicability.	2017	Miriam K. Forbes Aidan G.C. Wright Kristian E. Markon Robert F. Krueger	5
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	5
+	Local solutions in the estimation of growth mixture models.	2006	John R. Hipp Daniel J. Bauer	5
+	Evaluating mixture modeling for clustering: Recommendations and cautions.	2011	Douglas Steinley Michael J. Brusco	5
+	A Repetitive Branch-and-Bound Procedure for Minimum Within-Cluster Sums of Squares Partitioning	2006	Michael J. Brusco	4
+	Quantifying the Reliability and Replicability of Psychopathology Network Characteristics	2019	Miriam K. Forbes Aidan G.C. Wright Kristian E. Markon Robert F. Krueger	4
+	Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm	1999	Bengt Muthén Kerby Shedden	4
+	A New Variable Weighting and Selection Procedure for <i>K</i>-means Cluster Analysis	2008	Douglas Steinley Michael J. Brusco	4
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+	OCLUS: An Analytic Method for Generating Clusters with Known Overlap	2005	Douglas Steinley Robert A. Henson	4
+ PDF Chat	The US National Comorbidity Survey Replication (NCS‐R): design and field procedures	2004	Ronald C. Kessler Patricia A. Berglund Wai Tat Chiu Olga Demler Steven G. Heeringa Eva Hiripi Robert Jin Beth‐Ellen Pennell Ellen E. Walters Alan M. Zaslavsky	4
+ PDF Chat	An entropy criterion for assessing the number of clusters in a mixture model	1996	Gilles Celeux Gilda Soromenho	3
+	Examining Factor Score Distributions to Determine the Nature of Latent Spaces	2007	Douglas Steinley Roderick P. McDonald	3
+	A rationale and test for the number of factors in factor analysis	1965	John L. Horn	3
+	An improvement of the NEC criterion for assessing the number of clusters in a mixture model	1999	Christophe Biernacki Gilles Celeux Gérard Govaert	3
+	Subset Selection in Regression	2002	Alan Miller	3
+	The Integration of Continuous and Discrete Latent Variable Models: Potential Problems and Promising Opportunities.	2004	Daniel J. Bauer Patrick J. Curran	3
+	Tabu search model selection in multiple regression analysis	1999	Zvi Drezner George A. Marcoulides Saı̈d Salhi	3
+	On the Complexity of Item Response Theory Models	2017	Wes Bonifay Li Cai	3
+	On Nonregularized Estimation of Psychological Networks	2019	Donald R. Williams Mijke Rhemtulla Anna Wysocki Philippe Rast	3
+	The discarding of variables in multivariate analysis	1967	E. M. L. Beale M. G. Kendall D. W. Mann	3
+	On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions	1983	Wei-Chien Chang	3
+	Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003).	2003	Bengt Muthén	3
+ PDF Chat	Out of bounds? The boundary specification problem for centrality in psychological networks.	2021	Zachary P. Neal Jennifer Watling Neal	3
+	A combinatorial study of partial order polytopes	2003	Samuel Fiorini	2
+	Latent curve analysis	1990	William Meredith John Tisak	2
+	Generation of Random Clusters with Specified Degree of Separation	2006	Weiliang Qiu Harry Joe	2
+	Latent Variable Models and Factor Analysis	1989	Kikumi K. Tatsuoka David J. Bartholomew	2
+	Hierarchical Variable Selection in Polynomial Regression Models	1987	Julio L. Peixoto	2
+	<b>MixSim</b>: An<i>R</i>Package for Simulating Data to Study Performance of Clustering Algorithms	2012	Volodymyr Melnykov Wei‐Chen Chen Ranjan Maitra	2
+	A method for simulating non-normal distributions	1978	Allen I. Fleishman	2
+	Branch-and-Bound Algorithms for Computing the Best-Subset Regression Models	2006	Cristian Gatu Erricos John Kontoghiorghes	2
+ PDF Chat	Inverse Ising Inference Using All the Data	2012	Erik Aurell Magnus Ekeberg	2
+	Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study	2007	Karen Nylund‐Gibson Tihomir Asparouhov Bengt Muthén	2
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	2
+	Three-mode partitioning	2006	Jan Schepers Iven Van Mechelen Eva Ceulemans	2
+	Convergent and discriminant validation by the multitrait-multimethod matrix.	1959	Donald T. Campbell Donald W. Fiske	2
+ PDF Chat	Statistical mechanics of community detection	2006	Juergen Reichardt Stefan Bornholdt	2
+ PDF Chat	A Plea for Neutral Comparison Studies in Computational Sciences	2013	Anne‐Laure Boulesteix Sabine Lauer Manuel J. A. Eugster	2
+	Computations for Variable Selection in Discriminant Analysis	1975	George P. McCabe	2
+	A representation theorem for finite random scale systems	1978	Jean‐Claude Falmagne	2
+	MEASURING AGREEMENT WHEN TWO OBSERVERS CLASSIFY PEOPLE INTO CATEGORIES NOT DEFINED IN ADVANCE	1974	Robert L. Brennan Richard J. Light	2
+	Computational aspects of algorithms for variable selection in the context of principal components	2003	Jorge Cadima Jorge Orestes Cerdeira Manuel Minhoto	2
+	Stepwise variable selection in factor analysis	2000	Yutaka Kano Akira Harada	2
+	Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters	2007	Gitta H. Lubke Bengt Muthén	2