Multiple Imputation by Predictive Mean Matching When Sample Size Is Small

Kleinke K (2018)
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES 14(1): 3-15.

Zeitschriftenaufsatz | Veröffentlicht| Englisch
 
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Abstract / Bemerkung
Predictive mean matching (PMM) is a state-of-the-art hot deck multiple imputation (MI) procedure. The quality of its results depends, inter alia, on the availability of suitable donor cases. Applying PMM in small sample scenarios often found in psychological or medical research could be problematic, as there might not be many (or any) suitable donor cases in the data set. So far, there has not been any systematic research that examined the performance of PMM, when sample size is small. The present study evaluated PMM in various multiple regression scenarios, where sample size, missing data percentages, the size of the regression coefficients, and PMM's donor selection strategy were systematically varied. Results show that PMM could be used in most scenarios, however results depended on the donor selection strategy: overall, PMM using either automatic distance-aided selection of donors (Gaffert, Meinfelder, & Bosch, 2016) or using the nearest neighbor produced the best results.
Stichworte
missing data; multiple imputation; predictive mean matching; small; samples
Erscheinungsjahr
2018
Zeitschriftentitel
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES
Band
14
Ausgabe
1
Seite(n)
3-15
ISSN
1614-1881
eISSN
1614-2241
Page URI
https://pub.uni-bielefeld.de/record/2920361

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Kleinke K. Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES. 2018;14(1):3-15.
Kleinke, K. (2018). Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 14(1), 3-15. doi:10.1027/1614-2241/a000141
Kleinke, K. (2018). Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES 14, 3-15.
Kleinke, K., 2018. Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 14(1), p 3-15.
K. Kleinke, “Multiple Imputation by Predictive Mean Matching When Sample Size Is Small”, METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, vol. 14, 2018, pp. 3-15.
Kleinke, K.: Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES. 14, 3-15 (2018).
Kleinke, Kristian. “Multiple Imputation by Predictive Mean Matching When Sample Size Is Small”. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES 14.1 (2018): 3-15.