Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 23 |
| Since 2017 (last 10 years) | 57 |
| Since 2007 (last 20 years) | 172 |
Descriptor
| Models | 322 |
| Sampling | 305 |
| Statistical Analysis | 69 |
| Research Methodology | 59 |
| Foreign Countries | 49 |
| Evaluation Methods | 41 |
| Research Design | 36 |
| Comparative Analysis | 34 |
| Data Analysis | 32 |
| Computation | 31 |
| Probability | 31 |
| More ▼ | |
Source
Author
| Amisha Jindal | 3 |
| Ashish Gurung | 3 |
| Erin Ottmar | 3 |
| Forsyth, Robert A. | 3 |
| Ji-Eun Lee | 3 |
| Ludtke, Oliver | 3 |
| Marsh, Herbert W. | 3 |
| Muthen, Bengt | 3 |
| Ratcliff, Roger | 3 |
| Reilly Norum | 3 |
| Sanika Nitin Patki | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 10 |
| Policymakers | 1 |
| Teachers | 1 |
Location
| Germany | 5 |
| China | 4 |
| Indonesia | 4 |
| Iran | 4 |
| California | 3 |
| Kentucky | 3 |
| Turkey | 3 |
| Virginia | 3 |
| Australia | 2 |
| Canada | 2 |
| Hawaii | 2 |
| More ▼ | |
Laws, Policies, & Programs
| Elementary and Secondary… | 3 |
| Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Culpepper, Steven Andrew – Journal of Educational and Behavioral Statistics, 2015
A Bayesian model formulation of the deterministic inputs, noisy "and" gate (DINA) model is presented. Gibbs sampling is employed to simulate from the joint posterior distribution of item guessing and slipping parameters, subject attribute parameters, and latent class probabilities. The procedure extends concepts in Béguin and Glas,…
Descriptors: Bayesian Statistics, Models, Sampling, Computation
Kezar, Adrianna; Gehrke, Sean – Journal of STEM Education: Innovations and Research, 2017
A community of practice (CoP) is a group of people who share a concern or a passion for something they do and learn how to do it as they interact regularly. Higher education leaders are attracted to CoPs because they are a peer-based model of learning with colleagues, which works well for professionals such as faculty. These authors identified…
Descriptors: STEM Education, Communities of Practice, Higher Education, Models
Two Distinct Exploratory Behaviors in Decisions from Experience: Comment on Gonzalez and Dutt (2011)
Hills, Thomas T.; Hertwig, Ralph – Psychological Review, 2012
Gonzalez and Dutt (2011) recently reported that trends during sampling, prior to a consequential risky decision, reveal a gradual movement from exploration to exploitation. That is, even when search imposes no immediate costs, people adopt the same pattern manifest in costly search: early exploration followed by later exploitation. From this…
Descriptors: Decision Making, Models, Inferences, Sampling
Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
Zimmermann, Judith; Brodersen, Kay H.; Heinimann, Hans R.; Buhmann, Joachim M. – Journal of Educational Data Mining, 2015
The graduate admissions process is crucial for controlling the quality of higher education, yet, rules-of-thumb and domain-specific experiences often dominate evidence-based approaches. The goal of the present study is to dissect the predictive power of undergraduate performance indicators and their aggregates. We analyze 81 variables in 171…
Descriptors: Undergraduate Students, Graduate Students, Academic Achievement, Prediction
Gonzalez, Cleotilde; Dutt, Varun – Psychological Review, 2012
Hills and Hertwig (2012) challenge the proposed similarity of the exploration-exploitation transitions found in Gonzalez and Dutt (2011) between the 2 experimental paradigms of decisions from experience (sampling and repeated-choice), which was predicted by an instance-based learning (IBL) model. The heart of their argument is that in the sampling…
Descriptors: Data, Models, Learning Processes, Criticism
Kim, Jee-Seon; Steiner, Peter M.; Hall, Courtney; Thoemmes, Felix – Society for Research on Educational Effectiveness, 2013
When randomized experiments cannot be conducted in practice, propensity score (PS) techniques for matching treated and control units are frequently used for estimating causal treatment effects from observational data. Despite the popularity of PS techniques, they are not yet well studied for matching multilevel data where selection into treatment…
Descriptors: Probability, Research Methodology, Control Groups, Experimental Groups
Matorera, D.; Fraser, W. J. – South African Journal of Education, 2016
Business schools are globally often seen as structured, purpose-driven, multi-sector and multi-perspective organisations. This article is based on the response of a graduate school to an innovative industrial Quality Function Deployment-based model (QFD), which was to be adopted initially in a Master's degree programme for quality assurance…
Descriptors: Case Studies, Qualitative Research, Interviews, College Faculty
Toytok, Esef Hakan – Universal Journal of Educational Research, 2016
This century is a century in which vertiginous rapid change is experienced. In each day, new innovations are being part of our lives. For this reason, innovation term is a dynamic concept that emerges in every field and it is inside of life. "Innovation" is an English term but it is adopted in daily life in Turkish as…
Descriptors: Educational Change, Educational Innovation, Foreign Countries, School Administration
Navarro, Daniel J.; Dry, Matthew J.; Lee, Michael D. – Cognitive Science, 2012
Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key "sampling" assumption about how the available data were generated.…
Descriptors: Logical Thinking, Generalization, Sampling, Learning
Yang, Qinghua; Yang, Fan; Zhou, Chun – Health Education, 2015
Purpose: The purpose of this paper is to investigate how the information about haze, a term used in China to describe the air pollution problem, is portrayed on Chinese social media by different types of organizations using the theoretical framework of the health belief model (HBM). Design/methodology/approach: A content analysis was conducted…
Descriptors: Social Networks, Foreign Countries, Barriers, Pollution
Adolph, Karen E.; Robinson, Scott R. – Journal of Cognition and Development, 2011
Research in developmental psychology requires sampling at different time points. Accurate depictions of developmental change provide a foundation for further empirical studies and theories about developmental mechanisms. However, overreliance on widely spaced sampling intervals in cross-sectional and longitudinal designs threatens the validity of…
Descriptors: Intervals, Children, Sampling, Developmental Psychology
Abolfazli, Elham; Saidabadi, Reza Yousefi; Fallah, Vahid – International Education Studies, 2016
The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers, and deputies of Ardabil's second period of high schools…
Descriptors: Sampling, Structural Equation Models, Questionnaires, Computer Software
Warne, Russell T.; Li, Yan; McKyer, E. Lisako J.; Condie, Rachel; Diep, Cassandra S.; Murano, Peter S. – Journal of Nutrition Education and Behavior, 2012
Researchers in nutrition research often use cluster or multistage sampling to gather participants for their studies. These sampling methods often produce violations of the assumption of data independence that most traditional statistics share. Hierarchical linear modeling is a statistical method that can overcome violations of the independence…
Descriptors: Nutrition, Statistical Analysis, Sampling, Research
Jepma, Marieke; Wagenmakers, Eric-Jan; Nieuwenhuis, Sander – Cognition, 2012
People are able to use temporal cues to anticipate the timing of an event, enabling them to process that event more efficiently. We conducted two experiments, using the fixed-foreperiod paradigm (Experiment 1) and the temporal-cueing paradigm (Experiment 2), to assess which components of information processing are speeded when subjects use such…
Descriptors: Expectation, Cues, Reaction Time, Models

Peer reviewed
Direct link
