Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 17 |
Descriptor
Data Analysis | 28 |
Factor Analysis | 28 |
Surveys | 28 |
Correlation | 10 |
Academic Achievement | 6 |
Questionnaires | 6 |
Comparative Analysis | 5 |
Educational Technology | 5 |
Statistical Analysis | 5 |
Computer Software | 4 |
Factor Structure | 4 |
More ▼ |
Source
Author
Al Shibli, Ibtisam | 1 |
Averch, Harvey A. | 1 |
Badursha, Nabeela | 1 |
Baran, Evrim | 1 |
Barton, Lisa S. | 1 |
Bauer, Daniel J. | 1 |
Bobrowski, Paula E. | 1 |
Bowen, Bradley D. | 1 |
Brady, Henry E. | 1 |
Castillo, Jose M. | 1 |
Chow, Meyrick | 1 |
More ▼ |
Publication Type
Journal Articles | 17 |
Reports - Research | 14 |
Dissertations/Theses -… | 3 |
Reports - Descriptive | 3 |
Reports - Evaluative | 3 |
Tests/Questionnaires | 3 |
Books | 1 |
Numerical/Quantitative Data | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 5 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Audience
Location
Texas | 2 |
United States | 2 |
Australia | 1 |
Finland | 1 |
New Zealand | 1 |
Oman | 1 |
Laws, Policies, & Programs
Assessments and Surveys
British Household Panel Survey | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela – International Review of Research in Open and Distributed Learning, 2016
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
Ernst, Jeremy V.; Bowen, Bradley D.; Williams, Thomas O. – American Journal of Engineering Education, 2016
Students identified as at-risk of non-academic continuation have a propensity toward lower academic self-efficacy than their peers (Lent, 2005). Within engineering, self-efficacy and confidence are major markers of university continuation and success (Lourens, 2014 Raelin, et al., 2014). This study explored academic learning self-efficacy specific…
Descriptors: Engineering, Engineering Education, College Freshmen, Academic Achievement
Pietarinen, Janne; Pyhältö, Kirsi; Soini, Tiina – Curriculum Journal, 2017
The study aims to gain a better understanding of the national large-scale curriculum process in terms of the used implementation strategies, the function of the reform, and the curriculum coherence perceived by the stakeholders accountable in constructing the national core curriculum in Finland. A large body of school reform literature has shown…
Descriptors: Foreign Countries, Educational Change, Curriculum Implementation, Educational Strategies
Gravley-Stack, Kara; Ray, Chris M.; Peterson, Claudette M. – Journal of Diversity in Higher Education, 2016
The research presented within this study focuses on the work of postsecondary institutional leaders, chief diversity officers (CDOs), who are change agents within the academy to address historical inequalities in education. Applying the Inclusive Excellence Change Model as the theoretical framework to guide this Q Method study, the researchers…
Descriptors: Q Methodology, College Administration, Administrators, Diversity (Institutional)
Castillo, Jose M.; Dedrick, Robert F.; Stockslager, Kevin M.; March, Amanda L.; Hines, Constance V.; Tan, Sim Yin – Journal of Applied School Psychology, 2015
This article presents information on the development and initial validation of the 16-item Response to Intervention (RTI) Beliefs Scale. The scale is designed to measure the extent to which educators working in schools hold beliefs consistent with the tenets of RTI. The authors administered the instrument to 2,430 educators in 62 elementary…
Descriptors: Response to Intervention, Teacher Attitudes, Test Construction, Test Validity
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Chow, Meyrick – Australasian Journal of Educational Technology, 2016
There is a growing body of evidence that feeling present in virtual environments contributes to effective learning. Presence is a psychological state of the user; hence, it is generally agreed that individual differences in user characteristics can lead to different experiences of presence. Despite the fact that user characteristics can play a…
Descriptors: Structural Equation Models, Self Efficacy, Technology Uses in Education, Educational Technology
Tchumtchoua, Sylvie; Dey, Dipak K. – Psychometrika, 2012
This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the…
Descriptors: Factor Analysis, Bayesian Statistics, Behavioral Sciences, Social Sciences
Dockery, Kim P. – ProQuest LLC, 2011
The purpose of this study was to determine the nature of the relationship between levels of implementation of professional learning communities and Collective Efficacy. More specifically, the study sought to determine the relationship between the levels of implementation of dimensions of professional learning communities (Learning, Collaboration…
Descriptors: Research Design, Task Analysis, Cooperation, Statistical Significance
Pedescleaux, Jonell – ProQuest LLC, 2010
The purpose of this study was to investigate non-cognitive motivational factors as indicators of academic achievement of male athletes and male non-athletes as measured by a secondary data analysis of the College Student Inventory (CSI) from Fall 2003 to Fall 2005. Deci and Ryan's (2000) self-determination theory provided the conceptual framework…
Descriptors: Grade Point Average, Academic Achievement, Athletes, Motivation
Lawson, Cheryl L. – ProQuest LLC, 2009
Managers of public libraries have been presented with a new set of challenges in the day-to-day operations of public libraries. These include their ability to serve as change agents as they manage the use of continuing online distance learning (CODL) for staff. This online tool may provide staff opportunities for on-the-job learning, yet for…
Descriptors: Distance Education, Change Agents, Factor Structure, Public Libraries
Schmidt, Denise A.; Baran, Evrim; Thompson, Ann D.; Mishra, Punya; Koehler, Matthew J.; Shin, Tae S. – Journal of Research on Technology in Education, 2009
Based in Shulman's idea of Pedagogical Content Knowledge, Technological Pedagogical Content Knowledge (TPACK) has emerged as a useful frame for describing and understanding the goals for technology use in preservice teacher education. This paper addresses the need for a survey instrument designed to assess TPACK for preservice teachers. The paper…
Descriptors: Preservice Teacher Education, Preservice Teachers, Factor Analysis, Educational Technology

Santos, J. Reynaldo A.; Clegg, Max D. – Journal of Extension, 1999
Factor analysis is often neglected in survey research, despite the fact that it removes metric redundancies and extracts the common thread from a set of observed variables. Likert-based extension surveys would benefit from factor analysis. (SK)
Descriptors: Data Analysis, Extension Education, Factor Analysis, Likert Scales
Previous Page | Next Page »
Pages: 1 | 2