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De Bondt, Niki; Donche, Vincent; Van Petegem, Peter – Social Psychology of Education: An International Journal, 2020
Research indicates that educational stratification may lead to a lower-track school culture of futility and a less academically-oriented culture among lower-track teachers, leading to both reduced study involvement and lower educational achievement among their students. This study investigated whether an anti-school culture in the lower tracks [in…
Descriptors: Technical Education, Vocational High Schools, Secondary Education, Intelligence
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Counsell, Alyssa; Cribbie, Robert A. – Psychology Teaching Review, 2020
Statistics play an important role in psychology, but statistics modules are notoriously unpopular amongst psychology students. We examined attitudes toward statistics and attitudes toward the statistical software package R in both undergraduate and postgraduate students across the duration of a statistics module. Participants' responses were…
Descriptors: College Students, Student Attitudes, Statistics, Psychology
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Mu, Guanglun Michael – Educational Philosophy and Theory, 2020
Bourdieu carved out a distinctive analytical niche for his reflexive sociology. His epistemological tool of field analysis, sometimes coupled with statistical correspondence analysis, is particularly powerful when deciphering the matrix of objective structures and subjective structures within social spaces (field) where agents vie for positions…
Descriptors: Social Networks, Network Analysis, Epistemology, Educational Philosophy
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Petscher, Yaacov; Koon, Sharon – Assessment for Effective Intervention, 2020
The assessment of screening accuracy and setting of cut points for a universal screener have traditionally been evaluated using logistic regression analysis. This analytic technique has been frequently used to evaluate the trade-offs in correct classification with misidentification of individuals who are at risk of performing poorly on a later…
Descriptors: Screening Tests, Accuracy, Regression (Statistics), Classification
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Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
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Asún, Rodrigo A.; Rdz-Navarro, Karina; Alvarado, Jesús M. – Sociological Methods & Research, 2016
This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…
Descriptors: Likert Scales, Item Analysis, Factor Analysis, Comparative Analysis
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Miller, Karyn – Teachers College Record, 2016
Background/Context: The flow of people, including children, across international borders is a growing trend. While research has emphasized the relationship between parental migration and children's educational outcomes, little is known about how child migration itself influences educational attainment. Purpose: To examine the relationship between…
Descriptors: Foreign Countries, Mexicans, Immigrants, Educational Attainment
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Pfaffel, Andreas; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
Approaches to correcting correlation coefficients for range restriction have been developed under the framework of large sample theory. The accuracy of missing data techniques for correcting correlation coefficients for range restriction has thus far only been investigated with relatively large samples. However, researchers and evaluators are…
Descriptors: Correlation, Sample Size, Error of Measurement, Accuracy
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Park, Jungkyu; Yu, Hsiu-Ting – Educational and Psychological Measurement, 2016
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In…
Descriptors: Hierarchical Linear Modeling, Nonparametric Statistics, Data Analysis, Simulation
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Chuanyi, Wang; Xiaohong, Lv; Shikui, Zhao – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This paper applies data envelopment analysis (DEA) and stochastic frontier analysis (SFA) to explore the relative efficiency of China's research universities of science and technology. According to the finding, when talent training is the only output, the efficiency of research universities of science and technology is far lower than that of…
Descriptors: Research Universities, Scientific Research, Higher Education, Correlation
Dorie, Vincent; Harada, Masataka; Carnegie, Nicole Bohme; Hill, Jennifer – Grantee Submission, 2016
When estimating causal effects, unmeasured confounding and model misspecification are both potential sources of bias. We propose a method to simultaneously address both issues in the form of a semi-parametric sensitivity analysis. In particular, our approach incorporates Bayesian Additive Regression Trees into a two-parameter sensitivity analysis…
Descriptors: Bayesian Statistics, Mathematical Models, Causal Models, Statistical Bias
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Pinjisakikool, Teerapong – Citizenship, Social and Economics Education, 2017
This article aims at finding the relationship between households' personality traits and their financial literacy level. The data in this research are from the household survey which can represent the population in Dutch. Using the Big Five personality traits and economic locus of control--extraversion, agreeableness, conscientiousness, emotional…
Descriptors: Personality Traits, Correlation, Money Management, Literacy
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Nelson, Michael – Journal of Technology and Teacher Education, 2017
A wealth of research has focused on the technology integration behaviors of preservice teachers, with much of that literature centering on technology and methods coursework within teacher education programs. However, less emphasis has been placed on understanding the impact of field placement observations on a preservice teacher's technology…
Descriptors: Mentors, Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers
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McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size
Koedel, Cory; Li, Jiaxi; Springer, Matthew G.; Tan, Li – American Educational Research Journal, 2017
Spurred by the federal Race to the Top competition, the state of Tennessee implemented a comprehensive statewide educator evaluation system in 2011. The new system is designed to increase the rigor of evaluations and better differentiate teachers based on performance. The use of more differentiated ratings represents a significant shift in…
Descriptors: Teacher Evaluation, Public School Teachers, Job Satisfaction, State Programs
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