TITLE

# Planned missing data designs with small sample sizes: How small is too small?

AUTHOR(S)
Jia, Fan; Moore, E. Whitney G.; Kinai, Richard; Crowe, Kelly S.; Schoemann, Alexander M.; Little, Todd D.
PUB. DATE
September 2014
SOURCE
International Journal of Behavioral Development;Sep2014, Vol. 38 Issue 5, p435
SOURCE TYPE
DOC. TYPE
Article
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.
ACCESSION #
98367743

## Related Articles

• Selecting a sample size for studies with repeated measures. Yi Guo; Logan, Henrietta L.; Glueck, Deborah H.; Muller, Keith E. // BMC Medical Research Methodology;2013, Vol. 13 Issue 1, p1

Many researchers favor repeated measures designs because they allow the detection of within-person change over time and typically have higher statistical power than cross-sectional designs. However,the plethora of inputs needed for repeated measures designs can make sample size selection,a...

• Minimum $$\phi$$ -Divergence Estimation in Constrained Latent Class Models for Binary Data. Felipe, A.; Miranda, P.; Pardo, L. // Psychometrika;Dec2015, Vol. 80 Issue 4, p1020

The main purpose of this paper is to introduce and study the behavior of minimum $$\phi$$ -divergence estimators as an alternative to the maximum-likelihood estimator in latent class models for binary items. As it will become clear below, minimum $$\phi$$ -divergence estimators are a natural...

• Modified maximum likelihood estimator about the mean of the exponential distribution using ranked set sampling. CHEN Wangxue; XIE Minyu; LIU Jiaying; ZHOU Kun // Journal of Huazhong Normal University;Dec2013, Vol. 52 Issue 6, p739

Ranked Set Sampling (RSS) is a useful method of data collection. Since the maximum likelihood estimator (MLE) about the mean of the exponential distribution based on RSS usually has no closed expression, we usually modified likelihood equation to obtain a modified likelihood equation by...

• Inverse Probability Tilting for Moment Condition Models with Missing Data. Graham, Bryan S.; De Xavier Pinto, Cristine Campos; Egel, Daniel // Review of Economic Studies;Jul2012, Vol. 79 Issue 3, p1053

We propose a new inverse probability weighting (IPW) estimator for moment condition models with missing data. Our estimator is easy to implement and compares favourably with existing IPW estimators, including augmented IPW estimators, in terms of efficiency, robustness, and higher-order bias. We...

• Estimation of critical gap on a roundabout by minimizing the sum of absolute difference in accepted gap data. Ahmad, Abdullah; Rastogi, Rajat; Chandra, Satish // Canadian Journal of Civil Engineering;Dec2015, Vol. 42 Issue 12, p1011

Estimation of critical gap for a vehicle type under mixed traffic conditions prevailing in developing countries has been always a challenging task. This is due to the poor lane discipline and very limited priority being followed by the vehicles at priority intersections like roundabouts. A...

• Efficient design and inference for multistage randomized trials of individualized treatment policies. Dawson, Ree; Lavori, Philip W. // Biostatistics;Jan2012, Vol. 13 Issue 1, p142

Clinical demand for individualized â€œadaptiveâ€ treatment policies in diverse fields has spawned development of clinical trial methodology for their experimental evaluation via multistage designs, building upon methods intended for the analysis of naturalistically observed strategies....

• Subsample ignorable likelihood for accelerated failure time models with missing predictors. Zhang, Nanhua; Little, Roderick // Lifetime Data Analysis;Jul2015, Vol. 21 Issue 3, p457

Missing values in predictors are a common problem in survival analysis. In this paper, we review estimation methods for accelerated failure time models with missing predictors, and apply a new method called subsample ignorable likelihood (IL) Little and Zhang (J R Stat Soc 60:591-605, ) to this...

• Estimation of the mean in line intercept sampling. Pontius, Jeffrey // Environmental & Ecological Statistics;Dec1998, Vol. 5 Issue 4, p371

Ratio estimation of the parametric mean for a characteristic measured on plants sampled by a line intercept method is presented and evaluated via simulation using different plant dispersion patterns (Poisson, regular cluster, and Poisson cluster), plant width variances, and numbers of lines. The...

• Sample size requirements for the design of reliability study: review and new results. Shoukri, M.M.; Asyali, M.H.; Donner, A. // Statistical Methods in Medical Research;Aug2004, Vol. 13 Issue 4, p251

The reliability of continuous or binary outcome measures is usually assessed by estimation of the intraclass correlation coefficient (ICC). A crucial step for this purpose is the determination of the required sample size. In this review, we discuss the contributions made in this regard and...

Share