Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70539
Title: Predicting statistics performance beyond statistics anxiety
Authors: Kwek, Kenneth Shuan Gui
Keywords: DRNTU::Social sciences::Statistics
Issue Date: 2017
Abstract: Statistics anxiety has been the focus of past researchers seeking to improve students’ statistics performance. Recent research has challenged the widely-held assumption that statistics anxiety would negatively predict statistics performance. This study investigated the predictive value of goal orientation, statistics self-efficacy, learning strategies, and learning emotions relative to the influence of statistics anxiety on statistics performance. A total of 115 participants completed a questionnaire which included five measures adapted from PALS, MSLQ, CSSE, LRE and STARS. Hierarchical regression analyses revealed that mastery goal orientation and learning hopelessness were the strongest predictors of statistics performance after controlling for “worth of statistics”, self-regulation and pride. Specifically, mastery goal orientation positively predicted statistics performance whereas learning hopelessness negatively predicts statistics performance. Implications for the research of statistics anxiety are discussed and recommendations for interventions by statistics instructors are presented.
URI: http://hdl.handle.net/10356/70539
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:HSS Student Reports (FYP/IA/PA/PI)

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