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Rettore, Enrico; Rocco, Lorenzo; Dal Maso, Carlo – Education Economics, 2018
We evaluate two reforms that modified the procedures of recruitment and promotion in Italian academia to balance the preeminent role of the recruiting school and to counter nepotism. We theoretically derive the decision rule of the evaluation committees and test it against data including information from all selections to associate and full…
Descriptors: Foreign Countries, College Faculty, Faculty Promotion, Teacher Recruitment
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García-Ros, Rafael; Pérez-González, Francisco; Cavas-Martínez, Francisco; Tomás, José M. – Educational Psychology, 2018
Applying a structural equations modelling methodology, the study analyses the relationships and effects of self-regulated learning (social interaction learning strategies and motivation) and first-year university experiences on permanence in the sophomore year. The participants are 239 first-year students in different Engineering degrees at a…
Descriptors: College Freshmen, Learning Strategies, Student Motivation, Student Experience
Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 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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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
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Dierks, Pay O.; Höffler, Tim N.; Blankenburg, Janet S.; Peters, Heide; Parchmann, Ilka – International Journal of Science Education, 2016
Considering the reported lack of interest in the STEM-domain and the consequential difficulties in recruiting talented and interested young academics, the development of effective enrichment measures is indispensable. This requires a precise picture of students' interests. The paper presents an approach to characterize interest profiles in…
Descriptors: Foreign Countries, Secondary School Students, Student Interests, Science Interests
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Kristianto, Budhi – Journal of Information Technology Education: Research, 2017
Background: Although Indonesia is one of the world's most populated countries with a high penetration of internet usage there has been little research on SNS usage in Indonesia, especially involving children. Instead, SNS research in Indonesia has focused on university students and political, marketing, and disaster mitigation issues. Aim/Purpose:…
Descriptors: Foreign Countries, Grade 4, Grade 5, Grade 6
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Khany, Reza; Nejad, Ali Mansouri – RELC Journal: A Journal of Language Teaching and Research, 2017
This study examines the relationship between L2 willingness to communicate (L2WTC), L2 unwillingness to communicate (L2UWTC) and the personality traits of openness to experience and extraversion in an Iranian context. The Pearson correlation and descriptive statistics were used to analyse the results from a study with 217 English major students. A…
Descriptors: Second Language Learning, Structural Equation Models, Communication (Thought Transfer), English (Second Language)
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Checton, Maria G.; Magsamen-Conrad, Kate; Venetis, Maria K.; Greene, Kathryn – Health Education & Behavior, 2015
The purpose of the present study was to apply Berg and Upchurch's developmental-conceptual model toward a better understanding of how couples cope with chronic illness. Specifically, a model was hypothesized in which proximal factors (relational quality), dyadic appraisal (illness interference), and dyadic coping (partner support) influence…
Descriptors: Coping, Chronic Illness, Models, Interpersonal Relationship
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Sivan, Atara; Cohen, Arie; Chan, Dennis W.; Kwan, Yee Wan – Learning Environments Research, 2017
The Questionnaire on Teacher Interaction (QTI) is a teacher--student relationship measure whose underlying two-dimensional structure is represented in a circumplex model with eight sectors. Using Smallest Space Analysis (SSA), this study examined the circumplex structure of the Chinese version of the QTI among a convenience sample of 731…
Descriptors: Foreign Countries, Questionnaires, Teacher Student Relationship, Statistical Analysis
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Üredi, Lütfi – Journal of Education and Practice, 2017
The basic purpose of this research was to investigate the relationship between job satisfaction levels of the teachers in educational institutions and their attitudes towards teaching profession. Obtained results provided significant contributions for improving the quality of educational activities. Relational screening model as one of the…
Descriptors: Job Satisfaction, Teacher Attitudes, Teaching (Occupation), Statistical Analysis
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Pearl, Judea – Sociological Methods & Research, 2017
We address the task of determining, from statistical averages alone, whether a population under study consists of several subpopulations, unknown to the investigator, each responding to a given treatment markedly differently. We show that such determination is feasible in three cases: (1) randomized trials with binary treatments, (2) models where…
Descriptors: Statistical Analysis, Models, Social Science Research, Randomized Controlled Trials
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Savalei, Victoria; Rhemtulla, Mijke – Journal of Educational and Behavioral Statistics, 2017
In many modeling contexts, the variables in the model are linear composites of the raw items measured for each participant; for instance, regression and path analysis models rely on scale scores, and structural equation models often use parcels as indicators of latent constructs. Currently, no analytic estimation method exists to appropriately…
Descriptors: Computation, Statistical Analysis, Test Items, Maximum Likelihood Statistics
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Lee, Soo; Bulut, Okan; Suh, Youngsuk – Educational and Psychological Measurement, 2017
A number of studies have found multiple indicators multiple causes (MIMIC) models to be an effective tool in detecting uniform differential item functioning (DIF) for individual items and item bundles. A recently developed MIMIC-interaction model is capable of detecting both uniform and nonuniform DIF in the unidimensional item response theory…
Descriptors: Test Bias, Test Items, Models, Item Response Theory
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Pusic, Martin V.; Boutis, Kathy; Pecaric, Martin R.; Savenkov, Oleksander; Beckstead, Jason W.; Jaber, Mohamad Y. – Advances in Health Sciences Education, 2017
Learning curves are a useful way of representing the rate of learning over time. Features include an index of baseline performance (y-intercept), the efficiency of learning over time (slope parameter) and the maximal theoretical performance achievable (upper asymptote). Each of these parameters can be statistically modelled on an individual and…
Descriptors: Statistical Analysis, Models, Regression (Statistics), Medical Education
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Rahman, Md Shidur – Journal of Education and Learning, 2017
The researchers of various disciplines often use qualitative and quantitative research methods and approaches for their studies. Some of these researchers like to be known as qualitative researchers; others like to be regarded as quantitative researchers. The researchers, thus, are sharply polarised; and they involve in a competition of pointing…
Descriptors: Qualitative Research, Statistical Analysis, Literature Reviews, Research Methodology
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