In:
International Journal of Behavioral Development, SAGE Publications, Vol. 38, No. 5 ( 2014-09), p. 435-452
Abstract:
Utilizing planned missing data (PMD) designs (ex. 3-form surveys) enables researchers to ask participants fewer questions during the data collection process. An important question, however, is just how few participants are needed to effectively employ planned missing data designs in research studies. This article explores this question by using simulated three-form planned missing data to assess analytic model convergence, parameter estimate bias, standard error bias, mean squared error (MSE), and relative efficiency (RE).Three models were examined: a one-time-point, cross-sectional model with 3 constructs; a two-time-point model with 3 constructs at each time point; and a three-time-point, mediation model with 3 constructs over three time points. Both full-information maximum likelihood (FIML) and multiple imputation (MI) were used to handle the missing data. Models were found to meet convergence rate and acceptable bias criteria with FIML at smaller sample sizes than with MI.
Type of Medium:
Online Resource
ISSN:
0165-0254
,
1464-0651
DOI:
10.1177/0165025414531095
Language:
English
Publisher:
SAGE Publications
Publication Date:
2014
detail.hit.zdb_id:
1466999-7
detail.hit.zdb_id:
432118-2
SSG:
5,2
