Research output per year
Research output per year
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Dive into the research topics where Mike Edwards is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Evaluating When Subscores Add Value in Psychological and Health Applications
Gardner, M. J. & Edwards, M. C., 2024, (Accepted/In press) In: Assessment.Research output: Contribution to journal › Article › peer-review
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Measurement Invariance in Intellectual and Developmental Disability Research
Farmer, C., Kaat, A. J., Edwards, M. C. & Lecavalier, L., May 1 2024, In: American journal on intellectual and developmental disabilities. 129, 3, p. 191-198 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Toward better outcome measurement for insomnia in children with autism spectrum disorder
Scahill, L., Lecavalier, L., Edwards, M. C., Wenzell, M. L., Barto, L. M., Mulligan, A., Williams, A. T., Ousley, O., Sinha, C. B., Taylor, C. A., Youn Kim, S., Johnson, L. M., Gillespie, S. E. & Johnson, C. R., Dec 2024, In: Autism. 28, 12, p. 3131-3142 12 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Corrigendum: The relationship between metamotivational knowledge and performance (Frontiers in Psychology, (2023), 14, (1124171), 10.3389/fpsyg.2023.1124171)
Ross, J., Nguyen, T., Fujita, K., Miele, D. B., Edwards, M. C. & Scholer, A. A., 2023, In: Frontiers in Psychology. 14, 1271795.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Evaluating Avoidable Heterogeneity in Exploratory Factor Analysis Results
Manapat, P. D., Anderson, S. F. & Edwards, M. C., 2023, (Accepted/In press) In: Psychological Methods.Research output: Contribution to journal › Article › peer-review
4 Scopus citations
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Validation of the Remote Cognitive Aging and Alzheimer s Disease Research R CARE Toolbox for Diverse Populations
Edwards, M. (PI)
HHS: National Institutes of Health (NIH)
8/15/23 → 5/31/28
Project: Research project
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Research training in drug abuse prevention: closing the research-practice gap
Causadias, J. (CoI), Davis, K. (CoI), Ostrom, A. (CoI), Sandler, I. (CoI), Castro, F. (CoI), Davis, M. (CoI), O'Rourke, H. (CoI), Olive, M. F. (CoI), Gary, K. (CoI), Pardini, D. (CoI), Meier, M. (CoI), Wolchik, S. (CoI), Pina, A. (CoI), Lemery-Chalfant, K. (CoI), Lindstrom Johnson, S. (CoI), Brooks, S. (CoI), Daniulaityte, R. (CoI), Shiota, M. (CoI), Edwards, M. (CoI), Su, J. (CoI), Mendoza, N. (CoI), Pettigrew, J. (CoI), Tein, J.-Y. (CoI), Doane, L. (CoI), Gonzales, N. (PI), Brewer, G. (CoI), Halden, R. (CoI), Buman, M. (CoI), Berkel, C. (CoI), Sanabria, F. (CoI), White, R. (CoI), Rivera, D. (CoI), Stecher, C. (CoI), MacKinnon, D. (CoI), McNeish, D. (CoI), Jager, J. (CoI), Low, S. (CoI), Johnson, M. (CoI), Chassin, L. (CoI), Oesterle, S. (CoI), Grimm, K. (CoI), Corbin, W. (CoI), Luecken, L. (CoI) & Perez, M. (CoI)
HHS: National Institutes of Health (NIH)
7/1/21 → 6/30/26
Project: Research project
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Estimating Mediation Effects in Prevention Studies
MacKinnon, D. (PI), Tein, J.-Y. (CoI), West, S. (CoI), Grimm, K. (CoI), Edwards, M. (CoI) & McNeish, D. (CoI)
HHS: National Institutes of Health (NIH)
7/1/15 → 5/31/25
Project: Research project
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Measuring Sleep Disturbances and Sleep-Related Impairment in Children with ASD
Edwards, M. (PI)
HHS: National Institutes of Health (NIH)
9/14/19 → 6/30/23
Project: Research project
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Total Engagement and Activation Measure (TEAM): Developing a measure of the capac
Edwards, M. (PI)
HHS-NIH-OD: Office of Behavioral and Social Sciences Research (OBSSR)
8/15/18 → 4/30/23
Project: Research project
Datasets
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Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality
Manapat, P. D. (Creator) & Edwards, M. C. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.5784282.v1, https://sage.figshare.com/collections/Examining_the_Robustness_of_the_Graded_Response_and_2-Parameter_Logistic_Models_to_Violations_of_Construct_Normality/5784282/1
Dataset
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Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
Nguyen, T. (Creator), Scholer, A. A. (Creator), Miele, D. B. (Creator), Edwards, M. C. (Creator) & Fujita, K. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6006586, https://sage.figshare.com/collections/Predicting_Academic_Performance_with_an_Assessment_of_Students_Knowledge_of_the_Benefits_of_High-Level_and_Low-Level_Construal/6006586
Dataset
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Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality
Manapat, P. D. (Creator) & Edwards, M. C. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.5784282, https://sage.figshare.com/collections/Examining_the_Robustness_of_the_Graded_Response_and_2-Parameter_Logistic_Models_to_Violations_of_Construct_Normality/5784282
Dataset
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sj-docx-1-spp-10.1177_19485506221090051 – Supplemental material for Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
Nguyen, T. (Creator), Scholer, A. A. (Creator), Miele, D. B. (Creator), Edwards, M. C. (Creator) & Fujita, K. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.19802995.v1, https://sage.figshare.com/articles/journal_contribution/sj-docx-1-spp-10_1177_19485506221090051_Supplemental_material_for_Predicting_Academic_Performance_with_an_Assessment_of_Students_Knowledge_of_the_Benefits_of_High-Level_and_Low-Level_Construal/19802995/1
Dataset
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Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
Nguyen, T. (Creator), Scholer, A. A. (Creator), Miele, D. B. (Creator), Edwards, M. C. (Creator) & Fujita, K. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6006586, https://sage.figshare.com/collections/Predicting_Academic_Performance_with_an_Assessment_of_Students_Knowledge_of_the_Benefits_of_High-Level_and_Low-Level_Construal/6006586
Dataset