Junyeong Yang
Quantitative Research, Evaluation, and Measurement, College of Education
The Ohio State University
Title: Performance of Bias-Corrected Bootstrap Confidence Interval for Parameter k Method in Actor Partner Interdependence Model (APIM)
Abstract: In APIM, various dyadic patterns between an actor and partner can be examined using a 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 bias-corrected (BC) bootstrap confidence interval (CI) for the k parameter includes 1, 0, or -1. However, there is no study conducted to examine the performance of BC bootstrap CI under the APIM context. This study aims to examine the performance of the BC bootstrap CI for the parameter k method under the various conditions of sample sizes and k ratios. Results showed that the convergence rate increased with the larger sample size and decreased with the smaller values of the k ratio. For smaller sample sizes and larger values of k ratio, the range of CI increased, indicating the increased possibility of including two or more values of -1, 0, or 1. The range of CI became stable when the sample size is large enough.
Junyeong Yang (he/him) is a PhD student in the Quantitative Research, Evaluation, and Measurement program at The Ohio State University. He received both his B.A. in education and M.A. in educational statistics and measurement from Korea University. His research interests include structural equation models, mixture models, hierarchical linear models, and longitudinal studies.
