Abstract
Structural equation modeling techniques were used to test a model of statistics performance based on achievement goal theory. Data were collected after the midterm and final examinations in an introductory statistics course, and models were fit at each time point. Learning goals were positively related to the use of deep-processing strategies and to self-efficacy and were negatively related to test anxiety. Performance goals were positively related to disorganization in study strategies and to test anxiety. Both learning and performance goals affected achievement indirectly through study strategies, self-efficacy, and test anxiety. Use of deep-processing strategies was positively related to effort but displayed an unexpected negative relationship to achievement. Disorganization was a positive predictor of test anxiety. Implications of these findings for teaching and learning statistics are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
