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Tadesse, Tefera; Manathunga, Catherine E.; Gillies, Robyn M. – Higher Education Research and Development, 2018
This paper is positioned to make a sound contribution to knowledge of higher education (HE) quality through its study of student engagement in a large university in Ethiopia. We establish that the assessment of student engagement is a valid facet in determining HE quality, contributing holistically alongside quality assurance and university…
Descriptors: Foreign Countries, Learner Engagement, Measures (Individuals), Test Construction
Rahman, Nurulhuda Abd; Masuwai, Azwani; Tajudin, Nor'ain Mohd; Tek, Ong Eng; Adnan, Mazlini – Malaysian Journal of Learning and Instruction, 2016
Purpose: This study was aimed at establishing, through the validation of the "Teaching and Learning Guiding Principles Instrument" (TLGPI), the validity and reliability of the underlying factor structure of the Teaching and Learning Guiding Principles (TLGP) generated by a previous study. Method: A survey method was used to collect data…
Descriptors: Foreign Countries, Higher Education, Teaching Methods, Factor Analysis
Rathwell, Scott; Young, Bradley W. – Measurement in Physical Education and Exercise Science, 2016
Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99…
Descriptors: Factor Analysis, Structural Equation Models, College Athletics, Athletes
Zhoc, Karen C. H.; Li, Johnson C. H.; Webster, Beverley J. – Journal of Psychoeducational Assessment, 2017
Emotional Intelligence Scale (EIS) is a popular EI measure. Yet, it has been criticized for an unclear factor structure, and its psychometric properties were mainly examined in the Western context. This study was to evaluate its psychometric properties based on 1,724 Hong Kong undergraduate students, including its (a) factor structure, (b)…
Descriptors: Validity, Reliability, Emotional Intelligence, Measures (Individuals)
Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models
Saito, Akihiro; Smith, Michael E. – IAFOR Journal of Education, 2017
Higher education is attracting more participation from an increasingly diverse student body. This diversity invites concerns on effective instructional delivery as the extent of students' engagement in learning now varies widely. Anecdotes on students' "undesirable" dispositions in course participation are not uncommon in higher…
Descriptors: Higher Education, Student Participation, Learner Engagement, Questionnaires
Ursavas, Ömer Faruk; Kabakçi Yurdakul, Isil; Türk, Mesut; Mcilroy, David – Journal of Educational Computing Research, 2016
With reference to the digital natives' debate, there is a gap on digital natives' characteristics. To fill this gap, the Digital Natives Assessment Scale was developed to measure students' assessment of the degree to which they perceived themselves to possess the attributes of digital natives. The scale was developed within the Turkish language…
Descriptors: Higher Education, College Students, Preservice Teachers, Technology Uses in Education
McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
Wilson, Keithia L.; Murphy, Karen A.; Pearson, Andrew G.; Wallace, Barbara M.; Reher, Vanessa G. S.; Buys, Nicholas – Studies in Higher Education, 2016
The engagement and retention of commencing students is a longstanding issue in higher education, particularly with the implementation of the widening student participation agenda. The early weeks of the first semester are especially critical to student engagement and early attrition. This study investigated the perceived early transition needs of…
Descriptors: Foreign Countries, School Holding Power, Learner Engagement, College Students
Socha, Alan; Sigler, Ellen A. – Assessment & Evaluation in Higher Education, 2012
The "Revised Learning Process Questionnaire" has been part of the development of a conceptual understanding of how students learn and what motivates them to engage in particular tasks. We obtained responses from 329 student volunteers at a mid-sized public university in the southeast USA. We first investigated whether the psychometric…
Descriptors: Factor Structure, Questionnaires, Multidimensional Scaling, Psychometrics
Kooken, Janice; Welsh, Megan E.; McCoach, D. Betsy; Johnston-Wilder, Sue; Lee, Clare – Measurement and Evaluation in Counseling and Development, 2016
The Mathematical Resilience Scale measures students' attitudes toward studying mathematics, using three correlated factors: Value, Struggle, and Growth. The Mathematical Resilience Scale was developed and validated using exploratory and confirmatory factor analyses across three samples. Results provide a new approach to gauge the likelihood of…
Descriptors: Mathematics, Mathematics Instruction, Student Attitudes, Thinking Skills
Paswan, Audhesh K.; Ganesh, Gopala – Journal of Marketing for Higher Education, 2009
This study empirically investigates the relationship between satisfaction with educational service augmenters and consumer loyalty within the context of the international student market. An enhanced state of consumer satisfaction, also labeled as delight, is captured by focusing on service augmenters that fall outside the domain of the core…
Descriptors: Foreign Students, Higher Education, Educational Policy, Administrator Role
Kraipetch, Chanita; Kanjanawasee, Sirichai; Prachyapruit, Apipa – Research in Higher Education Journal, 2013
The present research was aimed to: 1) develop the components and indicators of organizational effectiveness for public higher education institutions under the Ministry of Tourism and Sports, Thailand, and 2) develop organizational effectiveness evaluation system for these institutions. The sample included total 41 participants comprising…
Descriptors: Higher Education, Organizational Effectiveness, Institutional Evaluation, Public Education
Rothmann, S.; Barkhuizen, N. – South African Journal of Higher Education, 2008
The objectives of this study are to assess the psychometric properties of an adapted version of the Maslach Burnout Inventory-General Survey (MBI-GS) for academic staff in South African higher education institutions and to investigate differences between the burnout levels of different demographic groups. A survey design was used, with stratified…
Descriptors: Higher Education, Factor Structure, Factor Analysis, Psychometrics

Marsh, Herbert W.; Hocevar, Dennis – American Educational Research Journal, 1984
A multitrait-multimethod (MTMM) matrix was formed in which nine evaluation dimensions were the multiple traits, and different offerings of the same course were the multiple methods. Findings from the MTMM analysis and confirmatory factor analysis provide strong evidence for the multidimensionality of student ratings. (Author/BW)
Descriptors: Factor Analysis, Factor Structure, Higher Education, Statistical Analysis
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