Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 12 |
Descriptor
Statistical Inference | 12 |
Validity | 12 |
Reliability | 6 |
Correlation | 4 |
Data Analysis | 4 |
Foreign Countries | 4 |
Scores | 4 |
Statistical Analysis | 4 |
Statistics | 4 |
Academic Achievement | 3 |
Causal Models | 3 |
More ▼ |
Source
Author
Abulela, Mohammed A. A. | 1 |
Baek, Eunkyeng | 1 |
Chen, Siqi | 1 |
Dasgupta, Tirthankar | 1 |
Ding, Peng | 1 |
Garfield, Joan | 1 |
Goodridge, Justin A. | 1 |
Gordon, Lucy H. | 1 |
Gregory Chernov | 1 |
Harwell, Michael M. | 1 |
Hussain, Ishtiaq | 1 |
More ▼ |
Publication Type
Journal Articles | 11 |
Reports - Research | 11 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Secondary Education | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Location
Indonesia | 1 |
Indonesia (Jakarta) | 1 |
Minnesota | 1 |
Pakistan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Schouten, Rianne Margaretha; Vink, Gerko – Sociological Methods & Research, 2021
Missing data in scientific research go hand in hand with assumptions about the nature of the missingness. When dealing with missing values, a set of beliefs has to be formulated about the extent to which the observed data may also hold for the missing parts of the data. It is vital that the validity of these missingness assumptions is verified,…
Descriptors: Data, Validity, Beliefs, Statistical Analysis
Sbeglia, Gena C.; Goodridge, Justin A.; Gordon, Lucy H.; Nehm, Ross H. – CBE - Life Sciences Education, 2021
Although recent studies have used the Classroom Observation Protocol for Undergraduate STEM (COPUS) to make claims about faculty reform, important questions remain: How should COPUS measures be situated within existing reform frameworks? Is there a universal sampling intensity that allows for valid inferences about the frequency of…
Descriptors: Student Centered Learning, Educational Change, Measures (Individuals), College Faculty
Luo, Wen; Li, Haoran; Baek, Eunkyeng; Chen, Siqi; Lam, Kwok Hap; Semma, Brandie – Review of Educational Research, 2021
Multilevel modeling (MLM) is a statistical technique for analyzing clustered data. Despite its long history, the technique and accompanying computer programs are rapidly evolving. Given the complexity of multilevel models, it is crucial for researchers to provide complete and transparent descriptions of the data, statistical analyses, and results.…
Descriptors: Hierarchical Linear Modeling, Multivariate Analysis, Prediction, Research Problems
Ziegler, Laura; Garfield, Joan – Statistics Education Research Journal, 2018
The purpose of this study was to develop the Basic Literacy In Statistics (BLIS) assessment for students in an introductory statistics course, at the postsecondary level, that includes, to some extent, simulation-based methods. The definition of statistical literacy used in the development of the assessment was the ability to read, understand, and…
Descriptors: Statistics, Literacy, Introductory Courses, College Students
Abulela, Mohammed A. A.; Harwell, Michael M. – Educational Sciences: Theory and Practice, 2020
Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…
Descriptors: Educational Research, Educational Researchers, Novices, Data Analysis
Ding, Peng; Dasgupta, Tirthankar – Grantee Submission, 2017
Fisher randomization tests for Neyman's null hypothesis of no average treatment effects are considered in a finite population setting associated with completely randomized experiments with more than two treatments. The consequences of using the F statistic to conduct such a test are examined both theoretically and computationally, and it is argued…
Descriptors: Statistical Analysis, Statistical Inference, Causal Models, Error Patterns
Kim, Yongnam; Steiner, Peter – Educational Psychologist, 2016
When randomized experiments are infeasible, quasi-experimental designs can be exploited to evaluate causal treatment effects. The strongest quasi-experimental designs for causal inference are regression discontinuity designs, instrumental variable designs, matching and propensity score designs, and comparative interrupted time series designs. This…
Descriptors: Quasiexperimental Design, Causal Models, Statistical Inference, Randomized Controlled Trials
Rahmatullah, Mamat – Higher Education Studies, 2016
In this study, the problem is limited factors relating to the learning effectiveness and teacher competence in improving the teacher performance. Therefore, this study will try to get explanations from some main issues which include the learning effectiveness issue, and teacher competence to increase teacher performance in Madrasah Tsanawiyah at…
Descriptors: Foreign Countries, Correlation, Statistical Inference, Statistics
Rosmaniar, Widhyanti; Marzuki, Shahril Charil bin Hj. – Higher Education Studies, 2016
The purpose of this study is to look closely at how aspects of instructional leadership, and organizational learning affect the quality of madrasah in improving the quality of graduate the state madrasah aliyah. The experiment was conducted using a quantitative approach with descriptive and inferential methods, in inferential methods used…
Descriptors: Principals, Instructional Leadership, Workplace Learning, Organizational Development
Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests