This study compared classification theories of language learning strategies. Results from confirmatory factor analysis (CFA) of the data measured by the ESL/EFL version of the Strategy Inventory for Language Learning and collected from 517 college EFL learners indicated that of the strategy theories examined, Oxford's 6-factor strategy taxonomy is the most consistent with learners' strategy use, although this model did not produce a fully adequate fit to the data. The findings suggest that other possible approaches to strategy classification should be considered. These approaches include (a) differentiating strategies for using a language ("language use strategies") from strategies for learning it ("language learning strategies"), (b) recognizing the importance of the learning environment, (c) slightly modifying the prevalent strategy classification theories by reclassifying particular strategies, (d) ensuring that the language skills are obvious in each strategy item, and (e) creating a task-based strategy inventory. This study also illustrates how CFA can be applied to the comparison of current strategy theories.
This study presents the results of a meta‐analytic study about the effects of digital game‐based learning (DGBL) on vocabulary. The results of the study showed that the effects of DGBL on vocabulary learning may vary with game design features (Q = 5.857, df = 1, p = .016), but not with learners' age (Q = 0.906, df = 1, p = .341) or linguistic background (Q = 0.0001, df = 1, p = .994). In light of the research findings, Csikszentmihalyi's () Flow Theory was adopted to theorize the role of game design in DGBL. It is proposed that a hierarchy should exist on the “challenge” axis in the Flow Theory, with adventure‐oriented games above non‐adventure‐based games along the “challenge” axis. The theoretical underpinning is that the dynamic equilibrium between challenge and abilities can function independently of the effects of learners' age and linguistic background.
The Statistical Anxiety Rating Scale has been conceptualized as multidimensional. Three of the six theoretical dimensions, Interpretation Anxiety, Test and Class Anxiety, and Fear of Asking for Help, tap anxiety about statistics; the other three dimensions, Worth of Statistics, Computation Self-concept, and Fear of Statistics Teachers, measure perceptions and attitudes toward statistics. This conceptualization of a second-order factor model consisting of two superordinate factors and six first-order factors has remained empirically untested. In 77 graduate students (15 men, 62 women; M age = 27.6 yr.) enrolled in applied statistics courses in Taiwan, a confirmatory factor analysis of two competing models based on subscale scores yielded results supporting the multidimensional construct validity of the scale. As multidimensionality was previously supported based on item scores, but not subscale scores, the findings are interpreted as partially consistent with previous research testing the theoretical factor structure of the scale.
This preliminary study examined the factor structure of the Beliefs About Language Learning Inventory in two samples of about 750 college students of English as a foreign language in Taiwan. Results of confirmatory factor analysis lend partial support to Horwitz's theoretical five-factor belief model. Subsequent exploratory and confirmatory factor analyses of data show that a four-factor model represented by only 12 items performed better than other models both theoretically and empirically. This model consists of two dimensions already theorized in the inventory: Difficulty of Language Learning and Foreign Language Aptitude, and two newly interpreted dimensions, Importance of Spoken Language and Analytical Approaches to Language Learning. Although this four-factor model could be replicated in an independent sample, the factors are not reliable, suggesting the need to search for a more representative set of beliefs to tap specific aspects of language learning.
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