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Direct linkKotera, Yasuhiro; Conway, Elaine; Green, Pauline – British Journal of Guidance & Counselling, 2023
Academic motivation is important to students' mental health and performance. One established measure is the Academic Motivation Scale (AMS), comprising 28 items. AMS assesses intrinsic motivation, extrinsic motivation, and amotivation, which are further categorised into seven subscales. One weakness of AMS is its length. In this study, we…
Descriptors: Test Construction, Test Validity, Factor Analysis, Learning Motivation
Sánchez de Miguel, Manuel; Lizaso, Izarne; Hermosilla, Daniel; Alcover, Carlos-Maria; Goudas, Marios; Arranz-Freijó, Enrique – British Journal of Educational Psychology, 2017
Background: Research has shown that self-determination theory can be useful in the study of motivation in sport and other forms of physical activity. The Perceived Locus of Causality (PLOC) scale was originally designed to study both. Aim: The current research presents and validates the new PLOC-U scale to measure academic motivation in the…
Descriptors: Validity, Factor Analysis, Learning Motivation, Goodness of Fit
Gaudreau, Patrick; Franche, Véronique; Gareau, Alexandre – Journal of Psychoeducational Assessment, 2016
The 2 × 2 model of perfectionism conceptualizes perfectionism as the within-person combinations of self-oriented and socially prescribed perfectionism to define four subtypes of perfectionism. This model posits that each subtype is distinctively associated with self-determined motivation and psychological adjustment. Results of latent moderated…
Descriptors: Personality Traits, Structural Equation Models, Emotional Adjustment, Self Determination
Liu, Yujuan; Raker, Jeffrey R.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2018
Academic Motivation Scale-Chemistry (AMS-Chemistry), an instrument based on the self-determination theory, was used to evaluate students' motivation in two organic chemistry courses, where one course was primarily lecture-based and the other implemented flipped classroom and peer-led team learning (Flip-PLTL) pedagogies. Descriptive statistics…
Descriptors: Student Motivation, Organic Chemistry, Blended Learning, Learning Motivation
Guay, Frédéric; Morin, Alexandre J. S.; Litalien, David; Valois, Pierre; Vallerand, Robert J. – Journal of Experimental Education, 2015
In this research, the authors examined the construct validity of scores of the Academic Motivation Scale using exploratory structural equation modeling. Study 1 and Study 2 involved 1,416 college students and 4,498 high school students, respectively. First, results of both studies indicated that the factor structure tested with exploratory…
Descriptors: Structural Equation Models, Construct Validity, Learning Motivation, Measures (Individuals)
Chong, Yit Sean; Ahmed, Pervaiz K. – Studies in Higher Education, 2015
With the globalisation of the higher education industry, service quality in the higher education services is seen as a vital factor in determining a university's competitive advantage. The purpose of this study is to extend current conceptualisation of quality research in higher education by investigating the influence of self-determination and…
Descriptors: Foreign Countries, College Students, Student Motivation, Student Attitudes
Cokley, Kevin – Measurement and Evaluation in Counseling and Development, 2015
The factor structure of the Academic Motivation Scale (AMS) was examined with a sample of 578 Black college students. A confirmatory factor analysis of the AMS was conducted. Results indicated that the hypothesized seven-factor model did not fit the data. Implications for future research with the AMS are discussed.
Descriptors: Factor Structure, Factor Analysis, Goodness of Fit, Student Motivation
Smith, Kenneth J.; Davy, Jeanette A.; Rosenberg, Donald L. – Assessment in Education: Principles, Policy & Practice, 2012
The purpose of this study was to examine an alternative configuration of the Academic Motivation Scale (AMS), a psychometric instrument used as a measure of academic motivation in various academic environments. The analyses utilised data from a convenience sample of 2354 business students, broken into two random subsamples of 1177 cases.…
Descriptors: Dropout Rate, Educational Objectives, Outcomes of Education, Construct Validity
