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The Effect of Number of Imputations ...

Kavanagh, Maurice.

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The Effect of Number of Imputations on Parameter Estimates in Multiple Imputation with Small Sample Sizes.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Effect of Number of Imputations on Parameter Estimates in Multiple Imputation with Small Sample Sizes./
作者:	Kavanagh, Maurice.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	149 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-04, Section: A.
Contained By:	Dissertations Abstracts International80-04A.
標題:	Educational tests & measurements. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10792444
ISBN:	9780438509016

The Effect of Number of Imputations on Parameter Estimates in Multiple Imputation with Small Sample Sizes.
Kavanagh, Maurice.

The Effect of Number of Imputations on Parameter Estimates in Multiple Imputation with Small Sample Sizes. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 149 p.

Source: Dissertations Abstracts International, Volume: 80-04, Section: A.

Thesis (Ed.D.)--Wayne State University, 2018.

This item must not be sold to any third party vendors.

Commercial statistical packages such as SPSS which include multiple imputation(MI) options make replacement of missing values easier. Use of such data handling utilities risks biased data resulting from artificially wide or narrow confidence intervals (CIs) however. Convenience samples of sizes 20, 40, 50, 100, 200, and 500 were drawn from the 2015 Consumer Expenditure Survey (United States Department of Labor, 2016) and evaluated using linear regression. Random deletion at levels of 10%, 20%, 30%, and 40% was performed on 6 of 8 selected variables. MI of 20, 40, 60, and 100 imputations were performed. Comparison of confidence interval widths between intact and imputed data showed an overall pattern of widened CIs in imputed data sets as compared to intact data. Larger sample sizes were significantly associated with narrower CIs. A suggestive association between CIs and number of imputations was found. Thirteen of 24 original data sets returned patterns of significant association between variables. Eight of 24 data sets showed migration either above or below nominal alpha thresholds post imputation, suggesting MI results should not immediately be taken at face value.

ISBN: 9780438509016Subjects--Topical Terms:

3168483
Educational tests & measurements.
Subjects--Index Terms:

Confidence intervals

The Effect of Number of Imputations on Parameter Estimates in Multiple Imputation with Small Sample Sizes.
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653 $a Confidence intervals
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