Abstract
This research used the expectancy-value theory to examine the extent to which three classes of motivation antecedents predicted secondary-school students’ expectancies of success in English. To this end, it investigated four general motivation orientations, two school-related achievement motives, as well as autonomous and controlled reasons undergirding motivation to study English. The results of exploratory structural equation modeling (N = 3615) show that studying English for autonomous reasons and having a motivation orientation that focuses on advancement and gains (i.e., a promotion orientation) were the strongest predictors of expectancies of success in this school domain. These results, which are consistent with recent findings examining expectancies of success in mathematics, have important implications for research, learning, and teaching.
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This work was supported by a Fast Start Marsden Grant from Marsden Fund Council, from Government funding, administered by the Royal Society of New Zealand (contract VUW1210).
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Appendix: Evaluation of the measurement model for promotion, prevention, locomotion, and assessment
Appendix: Evaluation of the measurement model for promotion, prevention, locomotion, and assessment
To maximize the extent to which findings from this study can be compared to those of previous research conducted with regard to a different learning domain (i.e., mathematics), this study measured promotion, prevention, locomotion, and assessment with the same set of items used by Hodis (2018b).
1.1 The measurement model for promotion
Promotion was measured with six items from the Regulatory Focus Questionnaire scale (RFQ; Higgins et al. 2001); this scale is one of the instruments that has been most often used in research gauging the promotion and prevention constructs (Gorman et al. 2012; Summerville and Roese 2008). Multiple studies (e.g., Hodis 2017, 2018b; Hodis and Hodis 2015, 2017) found evidence that this instrument measured appropriately the promotion and prevention orientations of students in secondary school.
To examine whether the six promotion items measured well the targeted construct in this study, a 1-factor CFA model was investigated. This model had a good fit to the data: Chi-square (9, N = 3606) = 157.602, p < .001; CFI = .970; TLI = .950; RMSEA = .068, with the 90% confidence interval (CI) for RMSEA being [.059, .077]. Standardized loadings were significant and strong for each indicator; they ranged from 0.593 to 0.787. These findings suggest that the six indicators measured appropriately promotion in this research.
1.2 The measurement model for prevention
Prevention was measured with the four indicators from the RFQ (Higgins et al. 2001) employed by Hodis (2018b). The one factor model defined by these four items had an excellent fit to the data: Chi-square (2, N = 3523) = 16.168, p < .001; CFI = .997; TLI = .990; RMSEA = .045, with the 90% CI for RMSEA [.026, .066]. All indicators had strong and statistically significant loadings, which ranged from 0.522 to 0.838. These results suggest that the four items provided an appropriate measure of prevention in this study.
1.3 The measurement model for locomotion
To our knowledge, the scale developed by Kruglanski et al. (2000) is the only validated instrument for measuring locomotion and assessment orientations. Previous research (e.g., Hodis 2015) found that items from this scale measure appropriately locomotion and assessment orientations of secondary school students. In this study, we gauged locomotion with the eight items (from Kruglanski et al. 2000) that were used by Hodis (2018b). The 1-factor CFA model of these eight indicators had a very good fit to the data: Chi-square (20, N = 3586) = 265.738, p < .001; CFI = .972; TLI = .960; RMSEA = .059, with the 90% CI for RMSEA [.052, .065]. These items’ standardized loadings were strong and statistically significant; they ranged from 0.549 to 0.693. These findings suggest that the eight items were appropriate indicators of locomotion in this research.
1.4 The measurement model for assessment
Assessment was measured with the four indicators from Kruglanski et al. (2000) used by Hodis (2018b). The four-item CFA model had an excellent fit: Chi-square (2, N = 3499) = 19.593, p < .001; CFI = .998; TLI = .993; RMSEA = .050, with the 90% CI for RMSEA [.031, .071]. For all items, standardized loadings were strong and statistically significant (range was from 0.494 to 0.808). These results suggest that the four items were appropriate indicators of assessment in this study.
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Hodis, FA. Studying for autonomous reasons and having a promotion orientation: key predictors of individual differences in expectancies of success in English. Soc Psychol Educ 23, 359–383 (2020). https://doi.org/10.1007/s11218-019-09537-y
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DOI: https://doi.org/10.1007/s11218-019-09537-y