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Research Article

Understanding Predictors of Statistical Competency: Exploring the Role of Attitude, Effort, Anxiety and Learning Approaches

268 reads
Girlie Villanueva , Geraldine Abella
Psych Educ Multidisc J, 2024, 21 (4), 463-475, doi: 10.5281/zenodo.12591659, ISSN 2822-4353

Abstract

Statistical competency, characterized by the ability to analyze and interpret data, is crucial in today's research-driven world. This study investigated factors affecting this competency in college students. Using a correlational design, data were collected from 325 students via surveys using stratified random sampling. Results from ordinal logistic regression revealed that factors like effort, degree program (math-related vs. non-math), delivery type (blended vs. modular), and a deep learning approach positively influence competency. Conversely, a surface learning approach has a negative impact. Attitudes, anxiety, and strategic learning approach were not found to be significant predictors. These findings suggest that various factors contribute to statistical competency, and educational strategies should address these diverse influences.

Keywords Deep learning ordinal logistic regression statistic in research statistical competency level surface learning
Authors 2
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The team behind this paper

2 authors, 2 institutions.

This paper Central Philippines State University — Philippines Central Philippines Sta… 1 author University of St. La Salle — Philippines University of St. La Sa… 1 author Girlie Villanueva — corresponding author GV Girlie Villanueva ✉ Geraldine Abella GA Geraldine Abella

Readership

268 reads over 28 months.

June 2024 September 2026

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Bibliographic Information

Girlie Villanueva, Geraldine Abella, (2024). Understanding Predictors of Statistical Competency: Exploring the Role of Attitude, Effort, Anxiety and Learning Approaches, Psychology and Education: A Multidisciplinary Journal, 21(4): 463-475
Bibtex Citation
@article{girlie_villanueva2024pemj,
author = {Girlie Villanueva and Geraldine Abella},
title = {Understanding Predictors of Statistical Competency: Exploring the Role of Attitude, Effort, Anxiety and Learning Approaches},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2024},
volume = {21},
number = {4},
pages = {463-475},
doi = {10.5281/zenodo.12591659},
url = {https://scimatic.org/show_manuscript/3137}
}
APA Citation
Villanueva, G., Abella, G., (2024). Understanding Predictors of Statistical Competency: Exploring the Role of Attitude, Effort, Anxiety and Learning Approaches. Psychology and Education: A Multidisciplinary Journal, 21(4), 463-475. https://doi.org/10.5281/zenodo.12591659

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