Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 7 |
| Since 2007 (last 20 years) | 22 |
Descriptor
| Correlation | 29 |
| Models | 29 |
| Sampling | 28 |
| Statistical Analysis | 8 |
| Computation | 6 |
| Comparative Analysis | 5 |
| Foreign Countries | 5 |
| Prediction | 5 |
| Simulation | 5 |
| Algorithms | 4 |
| Computer Assisted Instruction | 4 |
| More ▼ | |
Source
Author
| Amisha Jindal | 3 |
| Ashish Gurung | 3 |
| Erin Ottmar | 3 |
| Ji-Eun Lee | 3 |
| Reilly Norum | 3 |
| Sanika Nitin Patki | 3 |
| A. Sedory, Stephen | 1 |
| Ali Imron | 1 |
| Athalla Nauval Bhayangkara | 1 |
| Balyer, Aydin | 1 |
| Bambang Budi Wiyono | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 18 |
| Journal Articles | 17 |
| Dissertations/Theses -… | 2 |
| Speeches/Meeting Papers | 2 |
| Numerical/Quantitative Data | 1 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Middle Schools | 5 |
| Junior High Schools | 4 |
| Secondary Education | 4 |
| Elementary Education | 3 |
| Higher Education | 2 |
| Grade 4 | 1 |
| High Schools | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
| Self Directed Search | 1 |
What Works Clearinghouse Rating
Raden Bambang Sumarsono; Ali Imron; Bambang Budi Wiyono; Imron Arifin; Athalla Nauval Bhayangkara; Mufti Nawang Prastiko – Open Education Studies, 2025
This article aims to describe the influence of parental involvement on the success of achieving the Pancasila Student Profile through school effectiveness. This research was conducted in elementary schools throughout East Java. The stages include the following: (1) testing validity and reliability; (2) testing the feasibility of the model which is…
Descriptors: Parent Participation, Student Characteristics, School Effectiveness, Elementary School Students
Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
Bayne, Hannah B.; Hays, Danica G.; Harness, Luke; Kane, Brianna – Professional Counselor, 2021
We conducted a content analysis of counseling scholarship related to Whiteness for articles published in national peer-reviewed counseling journals within the 35-year time frame (1984-2019) following the publication of Janet Helms's seminal work on White racial identity. We identified articles within eight counseling journals for a final sample of…
Descriptors: Periodicals, Content Analysis, Journal Articles, Counseling
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Hedberg, E. C.; Hedges, L. V.; Kuyper, A. M. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are generally considered to provide the strongest basis for causal inferences about cause and effect. Consequently randomized field trials have been increasingly used to evaluate the effects of education interventions, products, and services. Populations of interest in education are often hierarchically structured (such as…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Correlation, Computation
Koran, Jennifer – Measurement and Evaluation in Counseling and Development, 2016
Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.
Descriptors: Factor Analysis, Sample Size, Models, 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
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
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
Lai, Lufanna C. H.; Cummins, Robert A. – Social Indicators Research, 2013
Two studies investigate subjective wellbeing (SWB) homeostasis. The first investigates the contribution of job satisfaction (JS) and partner satisfaction (PS) to the homeostatic defense of SWB. The extant model of homeostasis does not include either variable. The second study investigates the relationship between Homeostatically Protected Mood…
Descriptors: Psychological Patterns, Well Being, Individual Differences, Foreign Countries
Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices
Gu, Fei; Skorupski, William P.; Hoyle, Larry; Kingston, Neal M. – Applied Psychological Measurement, 2011
Ramsay-curve item response theory (RC-IRT) is a nonparametric procedure that estimates the latent trait using splines, and no distributional assumption about the latent trait is required. For item parameters of the two-parameter logistic (2-PL), three-parameter logistic (3-PL), and polytomous IRT models, RC-IRT can provide more accurate estimates…
Descriptors: Intervals, Item Response Theory, Models, Evaluation Methods
Previous Page | Next Page ยป
Pages: 1 | 2
Peer reviewed
Direct link
