| Owner: |
Junyeong Yang
|
| Owner Email: |
yang.5631@osu.edu
|
| Paper Title: |
Performance of Bias-Corrected Bootstrap Confidence Interval for Parameter k Method in Actor-Partner Interdependence Model
|
| Session Title: |
Advanced Research Methodology (Table 1)
|
| Paper Type: |
Roundtable Presentation
|
| Presentation Date: |
4/14/2023
|
| Presentation Location: |
Chicago, IL
|
| Descriptors: |
Data Analysis, Psychometrics, Statistics
|
| Methodology: |
Quantitative
|
| Author(s): |
Junyeong Yang, The Ohio State University; Jiwon Kim, University of Texas at Austin; Minjung Kim, The Ohio State University
|
| Unit: |
Division D - Measurement and Research Methodology
|
| Abstract: |
In APIM, four patterns can be examined using parameter k, which is the ratio of partner effect to actor effect (p/a). It can be tested by including a phantom variable in a model and inspecting whether the bootstrapping confidence interval for the k parameter includes 1, 0, or -1. This study aims to examine the performance of the bias-corrected (BC) bootstrap CI for the parameter k method under the various conditions of sample sizes and k ratios. Results revealed that the CI of k was more stable as the sample size increased. Even when the true k ratios somewhat deviated from the values of specific patterns (-1, 0, and 1), more than 80% of the CIs included those, respectively.
|
| DOI: |
https://doi.org/10.3102/2010595
|