Latent Profile Analysis (LPA) of Motivated Strategies for Learning Questionnaire (MSLQ) in the Indian Context

  • Rajib Chakraborty, Dr. Vijay Kumar Chechi

Abstract

Latent profile analysis (LPA) was conducted on five sub-scales of the famous Motivated Strategies for Learning Questionnaire (MSLQ) of self regulated learning developed by Pintrich et al., (1991), revised by Johnson (2018) as MSLQ-R, and validated in the Indian context by Chechi, Bhalla and Chakraborty (2019), to extract the number of distinct profiles of the participant individuals. These sub-scales were critical thinking, organization and time and study environment of learning strategies scale, and self efficacy and intrinsic goal orientation of the motivation scale. The sample of the study comprised of 1799 undergraduate and post graduate university students of the state of Punjab, India from its three regions, Majha, Doaba and Malwa. The packages tidyLPA (2018, 2019) and dplyr of R/RStudio (2016) were used to conduct the study. The functions used were estimates_profiles, compare_solutions, plot_profiles, get_estimates and get_data. The models used in the study were the most lenient and the most strictest,  model 1 and model 6, with variance and covariance, equal - zero and varying-varying in nature. The estimands used to resolve the number of profiles to extract were AIC, BIC, Entropy, BLRT-p-value. Three distinct profiles were extracted and they were identified as high (51 percent), average (35 percent) and low groups (14 percent) of individuals with self regulated learning as per the expectations. The R-codes to help in the replication of the study are provided. The significance of this research is discussed

Published
2020-08-01
Section
Articles