Research interests:
Latent variable modeling, especially structural equation modeling (SEM). Development of new statistical methods to handle incomplete data, nonnormal data, and categorical data.

Zhang, X., & Savalei, V. (2016). Bootstrapping confidence intervals for
fit indices in structural equation modeling. Structural Equation
Modeling, 23, 392-408.

Zhang, X., & Savalei, V. (2016). Improving the factor structure of
psychological scales: The Expanded format as an alternative to the
Likert scale format. Educational and Psychological Measurement, 76,

Rhemtulla, M., Savalei, V., & Little, T. (2016). On the asymptotic
relative efficiency of planned missingness designs. Psychometrika, 81,
60-89. doi: 10.1007/s11336-014-9422-0

Chuang, J., Savalei, V., & Falk, C. (2015). Investigation of Type I
error rate of three versions of robust chi-square difference tests.
Structural Equation Modeling, 22, 517-530. 10.1080/10705511.2014.938713

Savalei, V., & Dunn, E. (2015). Is the call to abandon p-values the red
herring of the replicability crisis? Frontiers in Psychology, 6, 2015.
doi: 10.3389/fpsyg.2015.00245

Savalei, V., & Falk, C. (2014). Recovering substantive factor loadings
in the presence of acquiescence bias: A comparison of three approaches.
Multivariate Behavioral Research, 49, 407-424.

Brosseau-Liard, P. E., & Savalei, V. (2014). Adjusting relative fit
indices for nonnormality. Multivariate Behavioral Research, 49, 460-470.

Savalei, V. (2014). Understanding robust corrections in structural
equation modeling. Structural Equation Modeling, 21, 149-160.

Savalei, V., & Falk, C. (2014). Robust two-stage approach outperforms
robust FIML with incomplete nonnormal data. Structural Equation
Modeling, 21, 280-302.

Savalei, V., & Rhemtulla, M. (2013). The performance of robust test
statistics with categorical data. British Journal of Mathematical and
Statistical Psychology, 66, 201-223.

Brosseau-Liard, P., Savalei, V., and Li, L. (2012). An investigation of
the sample performance of two non-normality corrections for RMSEA.
Multivariate Behavioral Research, 47, 904-930.

Savalei, V. (2012). The relationship between RMSEA and model
misspecification in CFA models. Educational and Psychological
Measurement, 72, 910-932.

Rhemtulla, M., Brosseau-Liard, P., & Savalei, V. (2012). How many
categories is enough to treat data as continuous? A comparison of robust
continuous and categorical SEM estimation methods under a range of
non-ideal situations. Psychological Methods, 17, 354-373. doi:

Savalei, V., & Rhemtulla, M. (2012). On obtaining estimates of the
fraction of missing information from full information maximum
likelihood. Structural Equation Modeling, 19, 477-494.

Winter 2018

PSYC217 Research Methods Sections

Focus on various research methods used in psychology, with an emphasis on critical thinking and experimental design. Restricted to students in the Faculty of Arts who have declared their major in one of Psychology, Cognitive Systems, or Speech Sciences (Linguistics Department).

Winter 2018

PSYC546I Seminar in Psychological Problems - STAT TOOLS Sections

Winter 2018

PSYC546H Seminar in Psychological Problems - MEASRMNT IN PSYC Sections

Winter 2018

PSYC303 Tests and Measurements Sections

Theory and practice of psychological measurement, statistical models for items and tests, assessment of test reliability and validity, factor analysis, scoring.

Winter 2018

PSYC546Y Seminar in Psychological Problems - STRUCT EQ MODEL Sections