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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
Alamri, Abdulrahman; Tyler-Wood, Tandra – Journal of Special Education Technology, 2017
Little research is available documenting the success of students with various types of disabilities in online classroom environments. This study investigates which factors associated with learners with disabilities impact student outcomes in an online learning environment. Forty learners with disabilities participating in online higher education…
Descriptors: Higher Education, Online Courses, Teacher Student Relationship, Disabilities
Callina, Kristina Schmid; Burkhard, Brian; Schaefer, Hillary S.; Powers, Jeremiah; Murray, Elise D.; Kobylski, Gerald; Ryan, Dianne M.; Kelly, Dennis; Matthews, Michael D.; Lerner, Richard M. – Journal of Moral Education, 2019
Research about the structure of character has largely assessed purported universal attributes. However, character develops within specific social, cultural and institutional contexts. As part of the first wave of a longitudinal study (Project Arete) of character development among cadets at the United States Military Academy (USMA) at West Point,…
Descriptors: Leadership Training, Longitudinal Studies, Military Training, Higher Education
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)
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
Ritchie, Laura; Williamon, Aaron – Journal of Education and Training Studies, 2013
This research explores self-regulated learning behaviors as used by 174 students in higher music education during learning and practice, with the aim of demonstrating the interaction between processes, skills, and beliefs. A three-factor structure was identified within a newly adapted, ten-item Musical Self-regulated Learning Questionnaire,…
Descriptors: Music Education, Higher Education, Learning Strategies, Student Behavior
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
Mazer, Joseph P. – Communication Education, 2013
The results of this study establish the validity of the Student Interest Scale and Student Engagement Scale, as well as associations among teacher communication behaviors, student interest, and engagement. Confirmatory factor analysis indicates that the factor structures of the measures are stable, reliable, and valid. The results indicate…
Descriptors: Factor Analysis, Learner Engagement, Validity, Interest Inventories
Fryer, Luke K.; Ginns, Paul; Walker, Richard A.; Nakao, Kaori – British Journal of Educational Psychology, 2012
Background: Student learning theory (SLT) has established associations between students' approaches to learning and their perceptions of the learning environment. SLT may provide a useful framework for researching student learning within the Japanese tertiary sector. Aims: The study aims to explore and validate the Course Experience Questionnaire…
Descriptors: Factor Analysis, Teaching Methods, Measures (Individuals), Learning Theories
Demir, Ilkay – Educational Sciences: Theory and Practice, 2011
The aim of the present study was to test the factor structure, convergent validity, and reliability of the Functions of Identity Scale (FIS) on a Turkish college sample. FIS is a 15 item, self-report instrument consisting of five scales. In line with the original version, both the exploratory and confirmatory factor analysis revealed a five-factor…
Descriptors: Validity, Factor Structure, Measures (Individuals), Factor Analysis
Duffy, Ryan D.; Diemer, Matthew A.; Jadidian, Alex – Counseling Psychologist, 2012
The present study sought to develop and validate an instrument to measure work volition, defined as the perceived capacity to make occupational choices despite constraints, among college students. In Study 1, an exploratory factor analysis was conducted with a large and diverse sample of college students, finding a reliable scale with two factors,…
Descriptors: Locus of Control, College Students, Self Efficacy, Factor Analysis
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
Ramlo, Susan – Journal of Research in Education, 2012
William Stephenson specifically developed Q methodology, or Q, as a means of measuring subjectivity. Q has been used to determine perspectives/views in a wide variety of fields from marketing research to political science but less frequently in education. In higher education, the author has used Q methodology to determine views about a variety of…
Descriptors: Q Methodology, Higher Education, Teacher Attitudes, Student Attitudes
Cokluk, Omay; Kayri, Murat – Educational Sciences: Theory and Practice, 2011
The main aim of this study is the comparative examination of the factor structures, corrected item-total correlations, and Cronbach-alpha internal consistency coefficients obtained by different methods used in imputation for missing values in conditions of not having missing values, and having missing values of different rates in terms of testing…
Descriptors: Elementary Education, Construct Validity, Validity, Factor Structure