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Personal information
Positions
Professor and Chair
Dept. of
Measurement, Statistics and Evaluation
College of Education,
University of Maryland
Director
Center for Integrated Latent Variable Research
(CILVR)
University of Maryland
Affiliated Professor
Dept. of Human Development,
Educational Psychology Program
College of Education,
University of Maryland
Affiliated Professor
Center for Advanced
Study of Language
University of Maryland
Interim Associate Dean for Research and Graduate Education, 2007-2008
College of Education
University of Maryland
Education
Doctor of Philosophy
Statistics, Measurement, and
Research Design
Department of Educational Psychology
College of Education,
University of Washington
August,
1991
Master of Education
Statistics, Measurement, and
Research Design
Department of Educational Psychology
College of Education,
University of Washington
June,
1989
Teaching Certif. (4th-12th)
Mathematics and Chemistry
University of Washington
July,
1987
Bachelors of Science
Mathematics; Chemistry
University of Washington
June,
1986
SELECTED SCHOLARLY WORK
Books
Hancock, G. R., & Mueller, R. O. (Eds.). (2010). The reviewer's guide to quantitative methods in the social sciences. New York: Taylor & Francis.
Hancock, G. R., & Samuelsen, K. M. (Eds.). (2008). Advances in latent variable mixture models. Charlotte, NC: Information Age Publishing, Inc.
Chapters
Hancock, G. R., Stapleton, L. M., & Arnold-Berkovits, I. (2009). The tenuousness of invariance tests within multisample covariance and mean structure models. In T. Teo & M. S. Khine (Eds.), Structural equation modeling: Concepts and applications in educational research. Rotterdam, Netherlands: Sense Publishers.
Mueller, R. O., & Hancock, G. R. (2008). Best practices in structural equation
modeling. In J. W. Osborne (Ed.), Best
practices in quantitative methods (pp. 488-508).
Hancock, G. R. (2006).
Power analysis in covariance structure models. In G. R. Hancock & R.
O. Mueller (Eds.), Structural Equation Modeling: A Second Course.
Hancock, G. R., & Lawrence, F.
R. (2006). Using latent growth models to evaluate longitudinal
change. In G. R. Hancock & R. O. Mueller (Eds.), Structural
Equation Modeling: A Second Course.
Hancock,
G. R. (2004).
Experimental, quasi-experimental, and nonexperimental design and analysis with
latent variables. In D. Kaplan (Ed.), The SAGE Handbook of
Quantitative Methodology for the Social Sciences.
Hancock,
G. R. (2004). Errors
(Type I and II). In W. E. Craighead & C. B. Nemeroff (Eds.), The
Concise Corsini Encyclopedia of Psychology and Behavioral Science (3rd
ed.).
Hancock,
G. R., & Mueller, R. O.
(2003). Path Analysis. In M. Lewis-Beck, A. Bryman, and T. F. Liao
(Eds.), Sage Encyclopedia of Social Science Research Methods.
Hancock,
G. R. (2001). Errors
(Type I and II). In W. E. Craighead & C. B. Nemeroff (Eds.), Encyclopedia
of Psychology and Neuroscience.
Hancock,
G. R., & Mueller, R. 0.
(2001). Rethinking construct reliability within latent variable
systems. In R. Cudeck, S. du Toit, & D. Sörbom (Eds.), Structural
Equation Modeling: Present and Future — A Festschrift in honor of Karl
Jöreskog.
Mueller,
R. O., & Hancock, G. R. (2001). Factor analysis and
latent structure: Confirmatory factor analysis. In N. J. Smelser & P.
B. Baltes (Eds.), International Encyclopedia of the Social and Behavioral
Sciences (pp. 5239-5244).
Methodological articles
Hancock, G. R., & Buehl, M. M. (in press). Second-order latent growth models with shifting indicators. Journal of Modern Applied Statistical Methods.
Choi, J., Fan., W., & Hancock, G. R. (2009). A note on confidence intervals for two-group latent mean effect size measures. Multivariate Behavioral Research, 44, 396-406.
Hancock, G. R. (2009). Diagnostic classification modeling: Opportunity for identity. Measurement: Interdisciplinary Research and Perspectives, 7, 62-64.
Mann, H. M., Rutstein, D. W., & Hancock, G. R. (in press). The potential for differential findings among invariance testing strategies for multisample measured variable path models. Educational and Psychological Measurement.
Levy, R., & Hancock, G. R. (2007). A framework of statistical tests for comparing mean and covariance structure models. Multivariate Behavioral Research, 42, 33-66.
Fan, W., & Hancock, G. R. (2006). Impact of post hoc measurement model over-specification on structural parameter integrity. Educational and Psychological Measurement, 66, 748-764.
Hancock, G. R., & Choi, J. (2006). A vernacular for linear latent growth models. Structural Equation Modeling: A Multidisciplinary Journal, 13, 352-377.
Gagné, P. E., & Hancock, G. R. (2006). Measurement model quality, sample size, and solution propriety in confirmatory factor models. Multivariate Behavioral Research, 41, 65-83.
Raykov, T., & Hancock, G. R. (2005). Examining change in maximal reliability for multiple-component measuring instruments. British Journal of Mathematical and Statistical Psychology, 58, 65-82.
Nevitt, J., & Hancock, G. R. (2004). Evaluating small sample approaches for model test statistics in structural equation modeling. Multivariate Behavioral Research, 39, 439-478.
Hancock, G. R. (2003). Fortune cookies, measurement error, and experimental design. Journal of Modern Applied Statistical Methods, 2, 293-305.
Hancock, G. R. (2001). Effect size, power, and sample size determination for structured means modeling and MIMIC approaches to between-groups hypothesis testing of means on a single latent construct. Psychometrika, 66, 373-388.
Hancock, G. R., & Freeman, M. J. (2001). Power and sample size for the RMSEA test of not close fit in structural equation modeling. Educational and Psychological Measurement, 61, 741-758.
Nevitt, J., & Hancock, G. R. (2001). Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 8, 353-377.
Hancock, G. R., Kuo, W., & Lawrence, F. R. (2001). An illustration of second-order latent growth models. Structural Equation Modeling: A Multidisciplinary Journal, 8, 470-489.
Berkovits,
Hancock, G. R., Lawrence, F. R., & Nevitt, J. (2000). Type I error and power of latent mean methods and MANOVA in factorially invariant and noninvariant latent variable systems. Structural Equation Modeling: A Multidisciplinary Journal, 7, 534-556.
Klockars, A. J., & Hancock, G. R. (2000). Scheffé’s more powerful F-protected post hoc procedure. Journal of Educational and Behavioral Statistics, 25, 13-19.
Nevitt, J., & Hancock, G. R. (2000). Improving the Root Mean Square Error of Approximation for nonnormal conditions in structural equation modeling. Journal of Experimental Education, 68, 251-268.
Hancock, G. R. & Nevitt, J. (1999). Bootstrapping and identification of exogenous latent variables within structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 6, 394-399.
Lawrence, F. R., & Hancock, G. R. (1999). Conditions affecting integrity of a factor solution under varying degrees of overextraction. Educational and Psychological Measurement, 59, 549-579.
Hancock, G. R. (1999). A sequential Scheffé-type respecification procedure for controlling Type I error in exploratory structural equation model modification. Structural Equation Modeling: A Multidisciplinary Journal, 6, 158-168.
Klockars, A. J., & Hancock, G. R. (1998). A more powerful post hoc multiple comparison procedure in analysis of variance. Journal of Educational and Behavioral Statistics, 23, 279-289.
Lawrence, F. R., & Hancock, G. R. (1998). Assessing change over time using latent growth modeling. Measurement and Evaluation in Counseling and Development, 30, 211-224.
Hancock, G. R., & Klockars, A. J. (1997). Finite Intersection Tests: A paradigm for optimizing simultaneous and sequential inference. Journal of Educational and Behavioral Statistics, 22, 291-307.
Hancock, G. R. (1997). Structural equation modeling methods of hypothesis testing of latent variable means. Measurement and Evaluation in Counseling and Development, 30, 91-105.
Hancock, G. R. (1997). Correlation/validity coefficients disattenuated for score reliability: A structural equation modeling approach. Educational and Psychological Measurement, 57, 606-614.
Hancock, G. R., & Klockars, A. J. (1996). The quest for a: Developments in multiple comparison procedures in the quarter century since Games (1971). Review of Educational Research, 66, 269-306.
Klockars, A. J., & Hancock, G. R. (1996). Power of a stagewise intersection protected multiple comparison procedure. Communications in Statistics: Simulation and Computation, 25, 953-960.
Hancock,
G. R.,
Klockars, A. J., Hancock, G. R., & McAweeney, M. J. (1995). Power of unweighted and weighted versions of simultaneous and sequential multiple comparison procedures. Psychological Bulletin, 118, 300-307.
Hancock, G. R. (1994). Cognitive complexity and the comparability of multiple-choice and constructed-response test formats. Journal of Experimental Education, 62, 143-157.
Klockars, A. J., & Hancock, G. R. (1994). Per experiment error rates: The hidden costs of several multiple comparison procedures. Educational and Psychological Measurement, 54, 292-298.
Hancock, G. R., Thiede, K. W., Sax, G., & Michael, W. B. (1993). Reliability of comparably written two-option multiple-choice and true-false test items. Educational and Psychological Measurement, 53, 651-660.
Klockars, A. J., & Hancock, G. R. (1992). Power of recent multiple comparison procedures as applied to a complete set of planned orthogonal contrasts. Psychological Bulletin, 111, 505-510.
Teaching awards and recognition
Outstanding Teacher Award Recipient,
2004
Outstanding Graduate Professor Award
nominee, 2002
Outstanding Graduate Mentor Award
recipient, 1999