Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Educational and Psychological… | 3 |
Assessment | 1 |
Educational Psychology | 1 |
Journal of Psychoeducational… | 1 |
Online Submission | 1 |
Oxford Review of Education | 1 |
Author
Akgun, Ozcan Erkan | 1 |
Bessant, Kenneth C. | 1 |
Buyukozturk, Sener | 1 |
Cakmak, Ebru Kilic | 1 |
Cano, Francisco | 1 |
Cho, Moon-Heum | 1 |
Demirel, Funda | 1 |
Donders, Jacobus | 1 |
Everson, Howard T. | 1 |
Gordon, Wayne I. | 1 |
Jonassen, David | 1 |
More ▼ |
Publication Type
Reports - Evaluative | 10 |
Journal Articles | 8 |
Speeches/Meeting Papers | 2 |
Tests/Questionnaires | 2 |
Education Level
Secondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 11 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Higher Education | 1 |
Middle Schools | 1 |
More ▼ |
Audience
Location
China | 1 |
Turkey (Ankara) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Learning and Study Strategies… | 3 |
Motivated Strategies for… | 1 |
Preliminary Scholastic… | 1 |
What Works Clearinghouse Rating
Zhang, Wenxiao; Li, Yanqing – Oxford Review of Education, 2023
This paper reports on the development and validation of the classroom assessment (CA) for self-regulated learning (SRL) Questionnaire (CASRLQ), a questionnaire intended to measure to what extent CA practices are SRL supportive. The original CASRLQ, consisting of 32 items to represent five SRL-supportive CA dimensions, was constructed and…
Descriptors: Test Construction, Test Validity, Questionnaires, Learning Strategies
Cho, Moon-Heum; Jonassen, David – Educational Psychology, 2009
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…
Descriptors: Writing Strategies, Self Efficacy, Online Courses, Learning Strategies
Liu, Ou Lydia – Journal of Psychoeducational Assessment, 2009
Learning strategies have been increasingly recognized as a useful tool to promote effective learning. In response to the lack of available learning strategies measures for middle school students, this study evaluated an instrument assessing cognitive, behavioral, and metacognitive strategy use among middle school students. The instrument, called…
Descriptors: Middle School Students, Grades (Scholastic), Learning Strategies, Reliability
Karadeniz, Sirin; Buyukozturk, Sener; Akgun, Ozcan Erkan; Cakmak, Ebru Kilic; Demirel, Funda – Online Submission, 2008
This study gives results of the first phase of the 12-18 year old Turkish students' norm study of The Motivated Strategies for Learning Questionnaire (MSLQ), which developed by Pintrich, Smith, Garcia & McKeachie (1993). The scale was administrated to 1114 students from 3 primary schools and 3 high schools in Ankara in Turkish language,…
Descriptors: Learning Strategies, Student Motivation, Questionnaires, Factor Analysis
Donders, Jacobus – Assessment, 2008
The purpose of this study is to determine the latent structure of the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) at three different age levels, using the standardization sample. Maximum likelihood confirmatory factor analyses are performed to test four competing hypothetical models for fit and…
Descriptors: Attention Span, Verbal Learning, Factor Structure, Factor Analysis
Everson, Howard T.; Weinstein, Claire E.; Laitusis, Vytas – 2000
The importance of learning and study strategies in fostering academic achievement has generated a demand for assessing these behaviors. The Learning and Study Strategies Inventory-High School version (LASSI-HS) is one of the most popular of these assessment devices. This study analyzed the second order latent structure of the inventory, using a…
Descriptors: Ability, Academic Achievement, Factor Structure, High School Students
Cano, Francisco – Educational and Psychological Measurement, 2006
This study explores the latent structure of scores on the Learning and Study Strategies Inventory (LASSI) and analyzes the relationship between this structure and students' academic performance. Two independent samples of college freshmen (n = 527) and seniors (n = 429) completed the LASSI. Data analysis of the first sample revealed acceptable…
Descriptors: Learning Strategies, Factor Structure, Academic Achievement, Scores
Stevens, Tara; Tallent-Runnels, Mary K. – Educational and Psychological Measurement, 2004
The purpose of this study was to investigate the latent structure of the Learning and Study Strategies Inventory-High School (LASSI-HS) through confirmatory factor analysis and factorial invariance models. A simple modification of the three-factor structure was considered. Using a larger sample, cross-validation was completed and the equality of…
Descriptors: High School Students, Learning Strategies, Study Habits, Ethnicity
Gordon, Wayne I.; And Others – 1996
The Self-Regulated Learning Inventory was developed to help researchers and teachers understand the concept of self-regulated learning and to provide a tool for identifying behaviors students need for academic success. Version One of the instrument contained 71 items representing the factors of metacognition, learning strategies, motivation,…
Descriptors: Academic Achievement, Cognitive Processes, Factor Analysis, Factor Structure

Bessant, Kenneth C. – Educational and Psychological Measurement, 1997
This study reports on the development and psychometric properties of a new 87-item Mathematics Information Processing Scale that explores learning strategies, metacognitive problem-solving skills, and attentional deployment. Results with 340 college students support the use of the instrument, for which factor analysis identified five theoretically…
Descriptors: Attention, Cognitive Processes, College Students, Factor Analysis