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Caliskan, Nihat; Kuzu, Okan; Kuzu, Yasemin – Journal of Education and Learning, 2017
The purpose of this study was to develop a rating scale that can be used to evaluate behavior patterns of the organization people pattern of preservice teachers (PSTs). By reviewing the related literature on people patterns, a preliminary scale of 38 items with a five-points Likert type was prepared. The number of items was reduced to 29 after…
Descriptors: Foreign Countries, Behavior Rating Scales, Test Construction, Preservice Teachers
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Gelisli, Yücel; Beisenbayeva, Lyazzat – International Journal of Instruction, 2017
The purpose of the current study is to develop a reliable scale to be used to determine the scientific inquiry competency perception of post-graduate students engaged in post-graduate studies in the field of educational sciences and teacher education in Kazakhstan. The study employed the descriptive method. Within the context of the study, a scale…
Descriptors: Foreign Countries, Graduate Students, Attitude Measures, Competence
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Goldman, Samantha E.; Burke, Meghan M.; Mason, Carolyn Q.; Hodapp, Robert M. – Exceptionality, 2017
Parents of students with disabilities often receive support from special education advocates, who may be trained through a variety of programs. Using a web-based survey, this study examined the postgraduation advocacy activities of 83 graduates of one such volunteer advocacy training program. In the one to four years after program graduation,…
Descriptors: Special Education, Correlation, Volunteers, Advocacy
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Putwain, David W.; Symes, Wendy; Wilkinson, Hannah M. – British Journal of Educational Psychology, 2017
Background: Fear appeals are persuasive messages that draw attention to the negative consequences (e.g., academic failure) that follow a particular course of action (e.g., not engaging in lessons) and how negative consequences can be avoided with an alternate course of action. Previous studies have shown that when fear appeals are appraised as…
Descriptors: Persuasive Discourse, Fear, Mathematics Tests, Secondary School Students
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Colenbrander, Danielle; Nickels, Lyndsey; Kohnen, Saskia – Journal of Research in Reading, 2017
Background: Identifying reading comprehension difficulties is challenging. There are many comprehension tests to choose from, and a child's diagnosis can be influenced by various factors such as a test's format and content and the choice of diagnostic criteria. We investigate these issues with reference to the Neale Analysis of Reading Ability…
Descriptors: Reading Comprehension, Factor Analysis, Regression (Statistics), Reading Difficulties
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Muijs, Daniel; Bokhove, Christian – British Educational Research Journal, 2017
Student satisfaction has received growing attention in Higher Education systems in recent years, and are increasingly used for internal and external accountability in the sector. This does leave us with questions on the extent to which variance in student satisfaction can be explained by Higher Education Institution (HEI) and course attended…
Descriptors: Graduate Students, Student Satisfaction, Postdoctoral Education, Multivariate Analysis
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Feng, Xiang-Nan; Wu, Hao-Tian; Song, Xin-Yuan – Sociological Methods & Research, 2017
We consider an ordinal regression model with latent variables to investigate the effects of observable and latent explanatory variables on the ordinal responses of interest. Each latent variable is characterized by correlated observed variables through a confirmatory factor analysis model. We develop a Bayesian adaptive lasso procedure to conduct…
Descriptors: Bayesian Statistics, Regression (Statistics), Models, Observation
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Sandusky, Peter Olaf – Journal of Chemical Education, 2017
Metabolomics applies multivariate statistical analysis to sets of high-resolution spectra taken over a population of biologically derived samples. The objective is to distinguish subpopulations within the overall sample population, and possibly also to identify biomarkers. While metabolomics has become part of the standard analytical toolbox in…
Descriptors: Undergraduate Students, Multivariate Analysis, Statistical Analysis, Chemistry
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Li, Ming; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
Researchers continue to be interested in efficient, accurate methods of estimating coefficients of covariates in mixture modeling. Including covariates related to the latent class analysis not only may improve the ability of the mixture model to clearly differentiate between subjects but also makes interpretation of latent group membership more…
Descriptors: Simulation, Comparative Analysis, Monte Carlo Methods, Guidelines
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Wong, P. K. S.; Wong, D. F. K.; Zhuang, X. Y.; Liu, Y. – Journal of Intellectual Disability Research, 2017
Background: The construct of self-determination has received considerable attention in the international field of intellectual disabilities (ID). Recently, there has been a rapid development of this construct in Chinese societies including Hong Kong. However, there is no locally validated instrument to measure self-determination in people with ID.…
Descriptors: Psychometrics, Self Determination, Intellectual Disability, Foreign Countries
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Khan, Shaista Irshad – European Journal of Educational Research, 2017
Critical thinking is seen as a highly desirable way of thinking that needs to be encouraged in all areas of higher education. However, it is not easy to conceptualise critical thinking in ways that can help in its development and in its assessment. Recent policy documents in Pakistan have laid emphasis on the development of critical thinking…
Descriptors: Critical Thinking, Higher Education, Thinking Skills, Foreign Countries
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Van Lone, Jeffrey S.; Siembor, Michael; Mistler, Brian J.; Mapstone, David J. – Journal of College Student Psychotherapy, 2017
This article examines college student disengagement from sports, presents a multidimensional concept of athletic identity, and introduces a new measure intended to assist college counselors in their work with disengaged athletes. The Multidimensional Athletic Identity and Engagement Scale (MAIES) is introduced (Cronbach alpha 0.98, with subscale…
Descriptors: College Athletics, Measures (Individuals), Factor Analysis, Validity
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Sloat, Edward; Amrein-Beardsley, Audrey; Sabo, Kent E. – AERA Open, 2017
In this study, we investigated the factor structure underlying the TAP System for Teacher and Student Advancement using confirmatory and exploratory factor-analytic methods and under conditions of multilevel (nested) data structures and ordinal measurement scales. We found evidence of generally poor fit with the system's posited first-order,…
Descriptors: Factor Structure, Teacher Evaluation, Value Added Models, Elementary Secondary Education
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Cole, Ki Matlock; Turner, Ronna L.; Gitchel, Wallace D. – AERA Online Paper Repository, 2017
This study uses the nominal response model to investigate the effects of extreme response styles. The Zung Self-Rating Anxiety Scale (SAS) is a commonly used scale for the identification of anxiety disorders. In some cases, the response options are not extreme, ranging from "A little of the time" to "Most of the time;" in other…
Descriptors: Self Evaluation (Individuals), Depression (Psychology), Rating Scales, Response Style (Tests)
Yunxiao Chen; Xiaoou Li; Jingchen Liu; Gongjun Xu; Zhiliang Ying – Grantee Submission, 2017
Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…
Descriptors: Item Analysis, Classification, Graphs, Test Items
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