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Winke, Paula – Modern Language Journal, 2013
In this study I examine the construct of aptitude in learning Chinese as a second language (L2) to an advanced level. I test 2 hypotheses: first, that L2 aptitude comprises 4 components--working memory, rote memory, grammatical sensitivity, and phonemic coding ability--and second, that L2 aptitude affects learning both directly and indirectly…
Descriptors: Chinese, Second Language Learning, Short Term Memory, Language Aptitude
Hancock, Gregory R.; Schoonen, Rob – Language Learning, 2015
Although classical statistical techniques have been a valuable tool in second language (L2) research, L2 research questions have started to grow beyond those techniques' capabilities, and indeed are often limited by them. Questions about how complex constructs relate to each other or to constituent subskills, about longitudinal development in…
Descriptors: Structural Equation Models, Language Research, Second Language Learning, Statistical Analysis
Ockey, Gary J.; Choi, Ikkyu – Language Assessment Quarterly, 2015
Studies that use structural equation modeling (SEM) techniques are increasingly encountered in the language assessment literature. This popularity has created the need for a set of guidelines that can indicate what should be included in a research report and make it possible for research consumers to judge the appropriateness of the…
Descriptors: Second Language Learning, Structural Equation Models, Language Tests, Guidelines
van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
Sun, Jun – Learning and Individual Differences, 2009
Based on Activity Theory, this article examines attitude formation in human learning as shaped by the experiences of individual learners with various learning objects in particular learning contexts. It hypothesizes that a learner's object-related perceptions, personality traits and situational perceptions may have different relationships with the…
Descriptors: Personality Traits, Structural Equation Models, Personality, Attitudes
Cseh, Maria; Manikoth, Nisha N. – Human Resource Development Quarterly, 2011
As the authors of the preceding article (Choi and Jacobs, 2011) have noted, the workplace learning literature shows evidence of the complementary and integrated nature of formal and informal learning in the development of employee competencies. The importance of supportive learning environments in the workplace and of employees' personal learning…
Descriptors: Informal Education, Educational Environment, Workplace Learning, Structural Equation Models
Lee, Hyeon Woo – Turkish Online Journal of Educational Technology - TOJET, 2011
As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from…
Descriptors: Structural Equation Models, Educational Technology, Educational Research, Multivariate Analysis
Stemhagen, Kurt – Democracy & Education, 2011
This article describes an empirical project that studied fourth- through- eighth- grade math teachers' beliefs about teaching and learning and about the role of teaching and learning in broader society. Specifically, it examined relationships between teachers' reported beliefs and their use of transmittal, constructivist, and democratic classroom…
Descriptors: Constructivism (Learning), Democracy, Mathematics Teachers, Teacher Attitudes
Peer reviewedWong, Ngai-Ying; Lin, Wen-Ying; Watkins, David – Educational Psychology, 1996
Analyzes responses to a questionnaire from 10 samples of primary and secondary school students from Nigeria, Zimbabwe, Malaysia, Beijing, Hong Kong, and Canada. The questionnaire covered learning strategies, approaches, and motivation. These data were then analyzed using six different structural equation models. Includes discussion of the models…
Descriptors: Educational Experience, Factor Analysis, Foreign Countries, Learning Experience
Klein, Howard J.; Fan, Jinyan; Preacher, Kristopher J. – Journal of Vocational Behavior, 2006
This field study examined how early socialization experiences affect new employee mastery of socialization content and socialization outcomes. New employees reported the realism of their preentry knowledge and the helpfulness of socialization agents. A follow-up survey assessed mastery of socialization content along with role clarity, job…
Descriptors: Socialization, Job Satisfaction, Structural Equation Models, Hypothesis Testing
Shin, Jongho; Espin, Christine A.; Deno, Stanley L.; McConnell, Scott – Asia Pacific Education Review, 2004
The main purpose of this paper is to demonstrate how to apply the Hierarchical Linear Modeling (HLM) technique to multi-wave Curriculum-Based Measurement (CBM) measures in modeling academic growth and assessing its relations to student-and instruction-related variables. HLM has advantages over other statistical methods (e.g., repeated measures…
Descriptors: Skill Development, Psychometrics, Learning Problems, Educational Practices
Peer reviewedEwert, Alan; Sibthorp, Jim – Journal of Experiential Education, 2000
Multivariate analytic techniques offer useful research methods that permit the experiential educator to test theoretical models, analyze the effects of several variables acting together, and predict the effects of one set of variables upon another set of variables. Several of these techniques are discussed, including analysis of variance, multiple…
Descriptors: Adventure Education, Analysis of Covariance, Analysis of Variance, Educational Research

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