Power to Detect Moderated Effects in Studies with Three-Level Partially Nested Data (Record no. 45746)
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| fixed length control field | 02278nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240508062721.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240508b |||||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| ISSN | 0022-0973 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Cox, Kyle |
| 245 ## - TITLE STATEMENT | |
| Title | Power to Detect Moderated Effects in Studies with Three-Level Partially Nested Data |
| Remainder of title | (Journal Article) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Philadelphia, USA |
| Name of publisher | : Taylor and Francis Group and Routledge |
| Year of publication | ,March 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 130-153p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | The Journal of Experimental Education |
| Volume number/sequential designation | Volume 92: Number 1, 2024 |
| 500 ## - GENERAL NOTE | |
| General note | ***______{For Hard Copy, Please visit Library.}________***<br/><br/> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Abstract: Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a variety of experimental designs when moderation effects are of interest but has yet to establish power formulas for detecting moderation effects in three-level partially nested designs. To address this gap, we derive and assess the accuracy of power formulas for detecting the different types of moderation effects possible in these designs. Using Monte Carlo simulation studies, we probe power rates and adequate sample sizes for detecting the different moderation effects while varying common influential factors including variance in the outcome explained by covariates, magnitude of the moderation effect, and sample sizes. The power formulas developed improve the planning of experimental studies with partial nesting and encourage the inclusion of moderator variables to capture for whom and under what conditions a treatment is effective. Educational researchers also have some initial guidance regarding adequate sample sizes and the factors that influence detecting moderation effects in three-level partially nested designs. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Cluster randomized trial| HLM| moderation effect| Monte Carlo Simulation| partially nested design| simulation studies| statistical power |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kelcey, Ben | Luce, Hannah |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1080/00220973.2022.2141175 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Periodicals |
| Lost status | Damaged status | Home library | Current library | Date acquired | Koha item type |
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| RIE BPL Library | RIE BPL Library | 08.05.2024 | Periodicals |