In higher education, it is essential that students apply what they have learned to solve problems in their community. Meaningful learning is the main means to increase the accumulation of knowledge and achieve the transfer of learning, which is why the present study aimed to: design and evaluate the psychometric properties of a scale that measures…

The purpose of this study was to develop a Meta-Affective Trait Scale (MATS) to measure the meta-affective inclinations related to emotions that students have while they are studying for their classes. First, a pilot study was performed with 380 10th-grade students. Results of the exploratory factor analysis supported a two-factor structure of the…

This study presents a psychometric evaluation of the Homework Management Scale (HMS) for mathematics, consisting of five subscales for measuring homework management strategies. Confirmatory factor analyses were conducted with a sample of middle school students (N = 796). Results indicated that the factor structure of the Chinese version of the HMS…

The Learning and Study Strategies Inventory (LASSI) is widely used in assessing students' learning and study strategies at both university and high school levels. The present study developed a Chinese version of LASSI (LASSI-C) and then further investigated the reliability, factor structure, and validity of LASSI-C scores, using a sample of 612…

This study aimed to develop the Metaconceptual Awareness and Regulation Scale (MARS) -- a self-report instrument for measuring the extent to which students realise, monitor, and evaluate their ideas. MARS consists of 10 items scored on a six-point Likert scale for two factors: metaconceptual awareness and metaconceptual regulation. A pilot study…

Achievement goal theory and thus, the empirical measures stemming from the research, are currently divided on two conceptual approaches, namely the reason versus aims-based models of achievement goals. The factor structure and predictive utility of goal constructs from the Patterns of Adaptive Learning Strategies (PALS) and the latest two versions…

The present work aims to contribute to our understanding of the underlying dimensions of language learning strategies in foreign language contexts. The study analyzes alternative factor structures underlying a recently developed instrument (Tragant and Victori, 2012) and it includes the age factor in the examination of its construct validity. The…

The Motivated Strategies for Learning Questionnaire (MSLQ) is an instrument for measuring motivation and learning strategies in general education. This instrument is modular, consisting of motivation and learning strategies modules. This study sought to see whether the learning strategies module of this instrument can be applied to the context of…

Two studies focusing on the development and validation of the Online Self-Regulated Learning Inventory (OSRLI) were conducted. The OSRLI is a self-report instrument assessing the human interaction dimension of online self-regulated learning. It consists of an affect/motivation scale and an interaction strategies scale. In Study 1, exploratory…

The purpose of this study was to develop and gather initial psychometric information on the Self-Regulated Learning Inventory for Teachers (SRLIT). The SRLIT is a self-report scale with 23 items measuring primary school teachers' realisations of self-regulated learning (SRL) practices. Information regarding the instrument's factor structure,…

Studied the reliability, structure, and criterion-related validity of the Learning and Study Strategies Inventory (LASSI; C. Weinstein, 1987) using data from 502 university students. Results suggest that the LASSI may not measure the postulated 10 scales typically used to report results. (SLD)

The underlying factor structure of the Language Learning Strategy Scale (LLSS) (Y. Chen, 2001) was examined to determine its consistency across 2 distinct cultures. Variables that affected students' language learning were also identified. The validation study for the LLSS suggested a three-factor model of functional strategies, deep-processing…