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Ramlo, Susan – Research in the Schools, 2017
Q methodology (Q) offers an empirical method for studying subjectivity and revealing multiple divergent viewpoints. Q's technique is the sorting of statements related to the topic and its method is the factor analyzing of those sorts to group people with similar viewpoints. Mixed information exists about Q methodologists' practice at the…
Descriptors: Q Methodology, Factor Analysis, Research Methodology, Preferences
Kim, Yukyoum; Lee, J. Lucy – Measurement in Physical Education and Exercise Science, 2019
The purposes of this manuscript are to identify common statistical mistakes in sport management, and to provide scholars with suggestions on how to develop and improve the quality of quantitative research. We have reviewed articles published from 2001 to 2017 in the "Journal of Sport Management," "Sport Management Review,"…
Descriptors: Athletics, Research, Research Problems, Statistical Analysis
Koran, Jennifer – Measurement and Evaluation in Counseling and Development, 2016
Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.
Descriptors: Factor Analysis, Sample Size, Models, Sampling
Goodwyn, Fara – Online Submission, 2012
Exploratory factor analysis involves five key decisions. The second decision, how many factors to retain, is the focus of the current paper. Extracting too many or too few factors often leads to devastating effects on study results. The advantages and disadvantages of the most effective and/or most utilized strategies to determine the number of…
Descriptors: Syntax, Factor Analysis, Research Methodology, Statistical Analysis
An Assessment of Turkish Elementary Teachers in the Context of Education for Sustainable Development
Sagdic, Ali; Sahin, Elvan – International Electronic Journal of Environmental Education, 2016
The purpose of the current study is to describe beliefs, perceived barriers and teaching strategy preference of elementary teachers with respect to education for sustainable development. The sample of research survey consisted of 211 elementary teachers who are also participant of projects on environmental education entitled Green Pack and…
Descriptors: Evaluation, Surveys, Elementary School Teachers, Sustainable Development
Yagiz, Oktay; Aydin, Burcu; Akdemir, Ahmet Selçuk – Journal of Language and Linguistic Studies, 2016
This study reviews a selected sample of 274 research articles on ELT, published between 2005 and 2015 in Turkish contexts. In the study, 15 journals in ULAKBIM database and articles from national and international journals accessed according to convenience sampling method were surveyed and relevant articles were obtained. A content analysis was…
Descriptors: Journal Articles, Periodicals, Content Analysis, Research Design
Peer reviewedKesselman, Gerald A.; And Others – Personnel Psychology, 1974
Authors attempted to measure a few key variables associated with the Porter-Lawler (1968) expectancy model in order to determine its validity. (Author/RK)
Descriptors: Expectation, Factor Analysis, Models, Motivation
OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers
Peer reviewedComrey, Andrew L. – Journal of Consulting and Clinical Psychology, 1978
Investigators are urged to plan factor analytic studies prior to collecting the data, to formulate a hypothesized factor structure, to develop several relatively pure measures of each factor expected, and to select an appropriate sample of at least 200 cases. Continuous variables should be used rather than dichotomous variables. (Author)
Descriptors: Behavioral Science Research, Data Collection, Factor Analysis, Factor Structure
Peer reviewedStrauss, Milton E.; Rourke, Daniel L. – Monographs of the Society for Research in Child Development, 1978
Discusses differences in results of factor analyses of ten diverse samples which have been studied using the Brazelton Neonatal Behavioral Assessment Scale (NBAS). Concludes that a single common factor structure accounts for the intercorrelations among NBAS items. (Author/BH)
Descriptors: Child Development, Factor Analysis, Infant Behavior, Infants
Broadbooks, Wendy J.; Elmore, Patricia B. – 1983
This study developed and investigated an empirical sampling distribution of the congruence coefficient. The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model and…
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Research Methodology
Peer reviewedMobley, William H.; Ramsay, Robert S. – Personnel Psychology, 1973
The present research was stimulated by three related problems frequently faced in validation research: viable procedures for combining similar jobs in order to assess the validity of various predictors, for assessing groups of jobs represented in previous validity studies, and for assessing the applicability of validity findings between units.…
Descriptors: Chemical Industry, Factor Analysis, Generalization, Job Analysis
Joreskog, Karl G. – 1970
This paper is concerned with the study of similarities and differences in factor structures between different groups. A common situation is when a battery of tests has been administered to samples of examinees from several populations. A very general model is presented, in which any parameter in the factor analysis models (factor loadings, factor…
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Hypothesis Testing
Peer reviewedPage, Ellis B.; Jarjoura, David – Journal of Research and Development in Education, 1979
A computer scan of ACT Assessment records identified 3,427 sets of twins. The Hardy-Weinberg rule was used to estimate the proportion of monozygotic twins in the sample. Matrices of genetic and environmental influences were produced. The heaviest loadings were clearly in the genetic matrix. (SJL)
Descriptors: Academic Achievement, Achievement Tests, College Bound Students, Factor Analysis
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