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Wang, Xinghua; Wang, Zhuo; Wang, Qiyun; Chen, Wenli; Pi, Zhongling – Journal of Computer Assisted Learning, 2021
Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital…
Descriptors: Electronic Learning, Technological Literacy, College Students, Measures (Individuals)
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Kalkbrenner, Michael T.; Lopez, Anna L.; Gibbs, Jessica R. – Journal of College Counseling, 2020
The aim of this study was to initially validate the REDFLAGS model, 8 cautionary warning signs of mental distress in college students. A test of internal consistency reliability and factor analysis supported the model's reliability and construct validity. Hierarchical logistic regression models endorsed the model's predictive validity; students'…
Descriptors: College Students, Counseling Services, Identification, Mental Health
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Harmon, Jon; Warnakulasooriya, Rasil – International Educational Data Mining Society, 2019
The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…
Descriptors: Electronic Learning, Factor Analysis, Goodness of Fit, Item Response Theory
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Sun, Peijian Paul; Zhang, Lawrence Jun; Gray, Susan M. – Asia-Pacific Education Researcher, 2016
Language learning strategies have drawn researchers' substantial attention since Rubin's (1975) and Stern's (1975) studies on "good language learners". Nevertheless, research pertaining to speaking strategies is inadequate, especially in relation to learning Chinese as second/foreign language (CSL/CFL). This study, therefore, seeks to…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Correlation
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Hong, Ah Jeong; Kim, Hye Jeong – Asia-Pacific Education Researcher, 2018
This study involves the development and validation of a survey that measures college students' digital readiness for academic engagement in terms of their perceived digital competencies for academic work. Both exploratory and confirmatory analyses were employed to assess the factorial structure of the Digital Readiness for Academic Engagement…
Descriptors: College Students, Learning Readiness, Electronic Learning, Test Construction
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Berding, Florian – Journal of Vocational Education and Training, 2017
Epistemic beliefs are individual beliefs about knowledge and knowledge acquisition. Empirical studies indicate that learners' epistemic beliefs influence their learning processes and success (e.g. motivation, text comprehension, learning strategy selection, grades). Teachers and trainers can support their apprentices in developing preferable…
Descriptors: Foreign Countries, Questionnaires, Epistemology, Beliefs
Collaço, Christine M. – ProQuest LLC, 2018
The primary purpose of this study was to collect evidence on the construct validity of grit using convergent, discriminant, and predictive validity principles. To accomplish this purpose and extend previous research on grit, college students from two schools completed an instrument comprised of a cognitive ability test, and a questionnaire. The…
Descriptors: College Students, Academic Persistence, Construct Validity, Predictive Validity
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Teng, Lin Sophie; Zhang, Lawrence Jun – Asia-Pacific Education Researcher, 2016
This article describes the development and validation of a survey instrument, the "Writing Strategies for Motivational Regulation Questionnaire" ("WSMRQ"), designed to measure Chinese university students' reported use of motivational regulation strategies in writing in English as a second/foreign language (L2). Conceptualized…
Descriptors: Questionnaires, Writing Strategies, Factor Analysis, Correlation
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Hanauer, David I.; Graham, Mark J.; Hatfull, Graham F. – CBE - Life Sciences Education, 2016
Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive…
Descriptors: College Students, Academic Persistence, Psychometrics, Predictive Validity
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Brown, Joshua Travis; Volk, Fred; Gearhart, Gabrielle L. – Journal of American College Health, 2018
Objective: This study seeks to evaluate the psychometric properties of the Ottawa Self-Injury Inventory-Functions (OSI-F) for assessing nonsuicidal self-injury (NSSI), a condition for further study in the DSM-5. Participants: Participants included 345 students who indicated a history of self-injury in a university counseling center over six…
Descriptors: Self Destructive Behavior, Injuries, College Students, Predictor Variables
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Alexander, Patricia A.; Dumas, Denis; Grossnickle, Emily M.; List, Alexandra; Firetto, Carla M. – Journal of Experimental Education, 2016
Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of…
Descriptors: Cognitive Ability, Logical Thinking, Thinking Skills, Cognitive Processes
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Crede, Marcus; Phillips, L. Alison – Learning and Individual Differences, 2011
The current paper presents a meta-analytic review of the Motivated Strategies for Learning Questionnaire (MSLQ), which consists of fifteen subscales designed from classic social-cognitive learning theories and which is widely used to predict academic performance. Results based on 2158 correlations from 67 independent samples and 19,900 college…
Descriptors: Questionnaires, Meta Analysis, Correlation, College Students
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Anderson, Gina; Tredway, Catherine; Calice, Corrince – Journal of Interactive Learning Research, 2015
Given the wide range of options for students to further their education online, it is important to determine what factors impact overall student perceptions of online course quality. Specifically, the study validates the reliability of Merrill's (2012) First Principles of Instruction as factors that impact students' perceptions of online course…
Descriptors: Longitudinal Studies, Nursing Students, Online Courses, Student Attitudes
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Tian, Lin; Guan, Yanjun; Chen, Sylvia Xiaohua; Levin, Nimrod; Cai, Zijun; Chen, Pei; Zhu, Chengfeng; Fu, Ruchunyi; Wang, Yang; Zhang, Shu – Journal of Career Development, 2014
Two studies were conducted to validate the Chinese version of the Career Decision-Making Profiles (CDMP) questionnaire, a multidimensional measure of the way individuals make career decisions. Results of Study 1 showed that after dropping 1 item from the original CDMP scale, the 11-factor structure was supported among Chinese college students (N =…
Descriptors: College Students, Predictive Validity, Career Development, Decision Making
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Bowman, Nicholas A.; Denson, Nida – Research in Higher Education, 2014
According to prevailing theory and anecdotal evidence, the congruence between institutional attributes and students' needs, interests, and preferences plays a key role in promoting college satisfaction and retention. However, this assertion has received little direct empirical attention, and the few available studies appear to have some key…
Descriptors: Intention, Academic Persistence, Factor Structure, Predictive Validity
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