Measurement invariance of the English reading motivational structure of bilingual and multilingual university students.

Self-related beliefs can influence language learning motivation. In turn, reading motivation can facilitate self-related beliefs in influencing English reading comprehension (ERC). Additionally, past language learning experience affects future language learning. Thus, this study examined the motivational structure in English reading of 1170 first-year students of 13 universities from nine Indonesian provinces (Mage = 19.3, SD = 0.85). Data were collected at one measurement point using the Motivation for Reading Questionnaire to measure reading self-efficacy, extrinsic motivation, and intrinsic motivation (IM); a four-item self-concept questionnaire; the English Reading Behavior Questionnaire, and an ERC. The study developed and evaluated two hypothesized models on the moderating role of past second language (L2) learning experience. The results of structural equation modeling corroborated the moderating influence of being bilingual and multilingual learners on the motivational variables, although not each of the expected paths fit the model. Among the variables, intrinsic motivation exerted the highest effect on the ERC of Indonesian university students. A difference analysis using one-way analysis of variance (ANOVA) on the motivational variables between the two groups demonstrated that multilingual groups outperformed the bilingual group in nearly all motivational variables. The results implied that categorizing students according to their previous learning experience with a foreign language can help teachers to prioritize their teaching to improve the reading comprehension achievement of students.

Textual complexity adjustments to the English reading comprehension test for undergraduate EFL students.

It can be challenging for teachers to prepare students for a reading comprehension test. While most research on reading comprehension tests focuses on the interaction between the text complexity and test-taker's ability, this study investigates the interaction between the text complexity and degree of difficulty of the tasks, following each text in an adapted reading comprehension test. The experiment examined the plausibility of adapting a reading comprehension test for university students through textual complexity management. It involved undergraduate English-as-a-foreign-language (EFL) participants (N = 1000) with English proficiency levels ranging from A1 to C2. A 38-item reading comprehension test with textual complexity adjustment was adapted. Item fit was assessed using the Rasch model analysis. ANOVA was performed to determine which reading comprehension subsamples differed significantly, whether the difficulty level of the test confirmed that of the texts, and what cognitive process contributed the most to test difficulty. The findings generated 32 qualified items, which fit the Rasch model. Participants significantly differed in reading comprehension, indicating the test's ability to differentiate the participants based on their classification. The study carried an implication that the difficulty of reading comprehension test is not solely contingent on textual complexity but also relies on task difficulty. Therefore, teachers must pay attention to both when preparing students for a reading comprehension test.