Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 9 |
Descriptor
Source
Author
| A. E. Ades | 1 |
| Adam N. Glynn | 1 |
| Amanda Timmerman | 1 |
| Arnold Olszewski | 1 |
| Audrey Linden | 1 |
| Baek, Eunkyeng | 1 |
| Clapper, Eli-Boaz | 1 |
| Danielle R. Blazek | 1 |
| David Goretzko | 1 |
| David M. Phillippo | 1 |
| Deborah M. Caldwell | 1 |
| More ▼ | |
Publication Type
| Information Analyses | 9 |
| Journal Articles | 8 |
| Reports - Research | 5 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Kindergarten | 1 |
| Primary Education | 1 |
Audience
| Practitioners | 1 |
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
David Goretzko; Karik Siemund; Philipp Sterner – Educational and Psychological Measurement, 2024
Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…
Descriptors: Factor Analysis, Goodness of Fit, Psychological Studies, Measurement
A. E. Ades; Nicky J. Welton; Sofia Dias; David M. Phillippo; Deborah M. Caldwell – Research Synthesis Methods, 2024
Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…
Descriptors: Network Analysis, Meta Analysis, Medicine, Clinical Experience
Kaltsonoudi, Kalliope; Tsigilis, Nikolaos; Karteroliotis, Konstantinos – Measurement in Physical Education and Exercise Science, 2022
Common method variance refers to the amount of uncontrolled systematic error leading to biased estimates of scale reliability and validity and to spurious covariance shared among variables due to common method and/or common source employed in survey-based researches. As the extended use of self-report questionnaires is inevitable, numerous studies…
Descriptors: Athletics, Research, Research Methodology, Error of Measurement
Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Van Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
Danielle R. Blazek; Jason T. Siegel – International Journal of Social Research Methodology, 2024
Social scientists have long agreed that satisficing behavior increases error and reduces the validity of survey data. There have been numerous reviews on detecting satisficing behavior, but preventing this behavior has received less attention. The current narrative review provides empirically supported guidance on preventing satisficing by…
Descriptors: Response Style (Tests), Responses, Reaction Time, Test Interpretation
Amanda Timmerman; Vasiliki Totsika; Valerie Lye; Laura Crane; Audrey Linden; Elizabeth Pellicano – Autism: The International Journal of Research and Practice, 2025
Autistic people are more likely to have co-occurring mental health conditions compared to the general population, and mental health interventions have been identified as a top research priority by autistic people and the wider autism community. Autistic adults have also communicated that quality of life is the outcome that matters most to them in…
Descriptors: Adults, Autism Spectrum Disorders, Quality of Life, Randomized Controlled Trials
Ella Patrona; John Ferron; Arnold Olszewski; Elizabeth Kelley; Howard Goldstein – Grantee Submission, 2022
Purpose: Systematic reviews of literature are routinely conducted to identify practices that are effective in addressing educational and clinical problems. One complication, however, is how best to combine data from both group experimental design (GED) studies and single-case experimental design (SCED) studies. Percent of Goal Obtained (PoGO) has…
Descriptors: Preschool Children, Vocabulary Development, Intervention, Error of Measurement
Baek, Eunkyeng; Luo, Wen; Henri, Maria – Journal of Experimental Education, 2022
It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Comparative Analysis, Statistical Inference

Peer reviewed
Direct link
