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Robert H. Kosar – ProQuest LLC, 2017
Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate important data structure such as clustering. We propose a version of principal component analysis based on the robust L2E method. The technique seeks to find the principal…
Descriptors: Research Universities, Taxonomy, Multivariate Analysis, Factor Analysis
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Kang, Yoonjeong; McNeish, Daniel M.; Hancock, Gregory R. – Educational and Psychological Measurement, 2016
Although differences in goodness-of-fit indices (?GOFs) have been advocated for assessing measurement invariance, studies that advanced recommended differential cutoffs for adjudicating invariance actually utilized a very limited range of values representing the quality of indicator variables (i.e., magnitude of loadings). Because quality of…
Descriptors: Measurement, Goodness of Fit, Guidelines, Models
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McKenna, Victoria S.; Heller Murray, Elizabeth S.; Lien, Yu-An S.; Stepp, Cara E. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: This study examined the relationship between the acoustic measure relative fundamental frequency (RFF) and a kinematic estimate of laryngeal stiffness. Method: Twelve healthy adults (mean age = 22.7 years, SD = 4.4; 10 women, 2 men) produced repetitions of /ifi/ while varying their vocal effort during simultaneous acoustic and video…
Descriptors: Adults, Acoustics, Human Body, Biomechanics
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Rohwer, Goetz – Sociological Methods & Research, 2015
The heterogeneous choice model (HCM) has been proposed as an extension of the standard logit and probit models, which allows taking into account different error variances of explanatory variables. In this note, I show that in an important special case, this model is just another way to specify an interaction effect.
Descriptors: Models, Statistical Analysis, Selection, Error of Measurement
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Finch, W. Holmes; Shim, Sungok Serena – Educational and Psychological Measurement, 2018
Collection and analysis of longitudinal data is an important tool in understanding growth and development over time in a whole range of human endeavors. Ideally, researchers working in the longitudinal framework are able to collect data at more than two points in time, as this will provide them with the potential for a deeper understanding of the…
Descriptors: Comparative Analysis, Computation, Time, Change
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Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M. – Journal of Psychoeducational Assessment, 2018
We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…
Descriptors: Accuracy, Learning Disabilities, Classification, Identification
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Hallinger, Philip; Adams, Donnie; Harris, Alma; Jones, Michelle Suzette – Journal of Educational Administration, 2018
Purpose: Over the past several decades, instructional leadership has gradually gained increasing currency as a key role of school principals throughout much of the world. This is also the case in Malaysia where educational research, policy and practice have brought the instructional leadership role of the principal front and center. The purpose of…
Descriptors: Foreign Countries, Principals, Instructional Leadership, Models
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Chen, Yu; Starobin, Soko S. – Community College Journal of Research and Practice, 2018
This study examined a psychosocial mechanism of how general self-efficacy interacts with other key factors and influences degree aspiration for students enrolled in an urban diverse community college. Using general self-efficacy scales, the authors hypothesized the General Self-efficacy model for Community College students (the GSE-CC model). A…
Descriptors: Self Efficacy, Community Colleges, Structural Equation Models, Factor Analysis
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Sellings, Peter; Felstead, Karen; Goriss-Hunter, Anitra – Australian Journal of Teacher Education, 2018
This paper focuses on the development of the academic and personal literacy and numeracy skills of pre-service teachers. It examines how an embedded enhancement framework of literacy and numeracy support named the DEER (Developing, Embedding, Extending, Reflecting) framework by the researchers was created in initial teacher education (ITE)…
Descriptors: Preservice Teachers, Models, Literacy, Numeracy
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Skillen, Johanna; Berner, Valérie-D.; Seitz-Stein, Katja – Journal of Educational Research, 2018
The study evaluates the linear number board game "100 House." Taking into account Krajewski's (2003, 2013) development model of mathematical competencies, this game supports the development of mathematical competencies in 6-year-old children. The board game design is based on the American cognitive alignment framework approach and aims…
Descriptors: Mathematics Skills, Young Children, Games, Pretests Posttests
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Kapelner, Adam; Soterwood, Jeanine; Nessaiver, Shalev; Adlof, Suzanne – IEEE Transactions on Learning Technologies, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
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Çalisoglu, Murat; Tanisir, Seda Nur – Universal Journal of Educational Research, 2018
With the changes done in the teacher training process in Turkey, the teachers who are going to begin active duty are asked to take a candidate teacher training under the supervision of an advisor teacher before they start their duty in the city they have been appointed, and these changes have been introduced in 2015-2016 academic years. In this…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Case Studies
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Vogel, Tobias; Carr, Evan W.; Davis, Tyler; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Stimuli that capture the central tendency of presented exemplars are often preferred--a phenomenon also known as the classic beauty-in-averageness effect. However, recent studies have shown that this effect can reverse under certain conditions. We propose that a key variable for such ugliness-in-averageness effects is the category structure of the…
Descriptors: Interpersonal Attraction, Preferences, Stimuli, Experiments
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Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
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Dougherty, Shaun M. – Journal of Education for Students Placed at Risk, 2018
Each iteration of high stakes accountability has included requirements to include measures of attendance in their accountability programs, thereby increasing the salience of this measure. Researchers too have turned to attendance and chronic absence as important outcomes in evaluations and policy studies. Often, too little attention is paid to the…
Descriptors: Attendance, Measurement, Models, Statistical Analysis
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