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No Child Left Behind Act 20012
Showing 1 to 15 of 1,059 results Save | Export
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Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2025
Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, "Historically, interesting psychological theories have been phrased in terms of correlation coefficients." This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods…
Descriptors: Correlation, Statistical Analysis, Models, Tests
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Yan Xia; Xinchang Zhou – Educational and Psychological Measurement, 2025
Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…
Descriptors: Factor Analysis, Statistical Analysis, Evaluation Methods, Sampling
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Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
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Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2021
Methods for optimal factor rotation of two-facet loading matrices have recently been proposed. However, the problem of the correct number of factors to retain for rotation of two-facet loading matrices has rarely been addressed in the context of exploratory factor analysis. Most previous studies were based on the observation that two-facet loading…
Descriptors: Factor Analysis, Statistical Analysis, Correlation, Models
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Goretzko, David – Educational and Psychological Measurement, 2022
Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that compare various so-called factor retention criteria under different data conditions, little is known about the impact of missing data on this process.…
Descriptors: Factor Analysis, Research Problems, Data, Prediction
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Fatih Orcan – International Journal of Assessment Tools in Education, 2023
Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…
Descriptors: Statistical Analysis, Monte Carlo Methods, Correlation, Factor Analysis
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von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
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Docherty, Meagan; Gullan, Rebecca Lakin; Phillips, Russell E., III – Journal of College Student Development, 2018
Attending college is a common experience in the United States, with about 7.1 million students projected to enroll in public 4-year colleges and universities in Fall 2018, and institutions expecting to award 1.9 million bachelor's degrees for the 2018-2019 academic year. Because college represents a significant investment of money and time and…
Descriptors: Factor Structure, Mentors, College Students, Factor Analysis
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Kogar, Hakan – Journal of Education and Learning, 2018
The aim of the present research study was to compare the findings from the nonparametric MSA, DIMTEST and DETECT and the parametric dimensionality determining methods in various simulation conditions by utilizing exploratory and confirmatory methods. For this purpose, various simulation conditions were established based on number of dimensions,…
Descriptors: Evaluation Methods, Nonparametric Statistics, Statistical Analysis, Factor Analysis
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Perera, Upeksha; Wijewickrema, Manjula – portal: Libraries and the Academy, 2018
Ranking of scholarly journals is important to many parties. Studying the relationships among various ranking metrics is key to understanding the significance of one metric based on another. This research investigates the relationship among four major journal-ranking indicators: the impact factor (IF), the Eigenfactor score (ES), the "h."…
Descriptors: Periodicals, Correlation, Bibliometrics, Statistical Analysis
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Chow, Peter; Chalmers, R. Philip; Flynn, Deborah M.; McLandress, Adam J.; Steadman, Victoria G. L. – College Student Journal, 2018
With the intent of amending the 21-item BDI-II to improve its reliability and validity when administering the scale to nonclinical populations, a survey package consisting of 19 positive items with semantically reflected response options to mirror the negative scenario options in the original BDI-II (excluding items 16 and 18) was created. These…
Descriptors: Depression (Psychology), Measures (Individuals), Test Reliability, Test Validity
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Eaton, Philip; Willoughby, Shannon D. – Physical Review Physics Education Research, 2018
In 1995, Huffman and Heller used exploratory factor analysis to draw into question the factors of the Force Concept Inventory (FCI). Since then several papers have been published examining the factors of the FCI on larger sets of student responses and understandable factors were extracted as a result. However, none of these proposed factor models…
Descriptors: Factor Analysis, Measures (Individuals), Physics, Science Instruction
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Hultin, H.; Ferrer-Wreder, L.; Eichas, K.; Karlberg, M.; Grosin, L.; Galanti, M. R. – Scandinavian Journal of Educational Research, 2018
This study investigated the psychometric properties of a teacher-reported version of a Swedish school climate instrument called the Pedagogical and Social Climate (PESOC), which consists of 95 items covering cultural, structural and social factors. A sample of 348 teachers from 19 Swedish secondary schools was used. Multilevel confirmatory factor…
Descriptors: Foreign Countries, Psychometrics, Measures (Individuals), Educational Environment
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Dogan, Pinar Karacan; Akyel, Yakup; Dogan, Isa – Acta Didactica Napocensia, 2018
The aim of this study is to examine the relationship between the job satisfaction and job stress of Physical Education teachers working in the Western Black Sea Region of Turkey. This research also investigates whether there is a significant change between job satisfaction and job stress in terms of the demographic features of these teachers. The…
Descriptors: Foreign Countries, Job Satisfaction, Stress Variables, Physical Education Teachers
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Rahayu, Sri; Sugiarto, Teguh; Madu, Ludiro; Holiawati; Subagyo, Ahmad – International Journal of Educational Methodology, 2017
This study aims to apply the model principal component analysis to reduce multicollinearity on variable currency exchange rate in eight countries in Asia against US Dollar including the Yen (Japan), Won (South Korea), Dollar (Hong Kong), Yuan (China), Bath (Thailand), Rupiah (Indonesia), Ringgit (Malaysia), Dollar (Singapore). It looks at yield…
Descriptors: Foreign Countries, Factor Analysis, Multiple Regression Analysis, Correlation
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