Effectiveness of Different Missing Data Treatments in Surveys with Likert-Type Data: Introducing the Relative Mean Substitution Approach.

Raaijmakers, Quinten A. W.

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Peer reviewed

ERIC Number: EJ594297

Record Type: Journal

Publication Date: 1999

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0013-1644

EISSN: N/A

Effectiveness of Different Missing Data Treatments in Surveys with Likert-Type Data: Introducing the Relative Mean Substitution Approach.

Raaijmakers, Quinten A. W.

Educational and Psychological Measurement, v59 n5 p725-48 Oct 1999

Introduces relative mean substitution as an approach to the substitution of missing values in surveys with Likert-type scales. Compares the approach to three other methods for dealing with missing data for samples of 1,674, 400, and 100. Results indicate that the relative mean substitution approach produces the most accurate estimates. (SLD)

Descriptors: Estimation (Mathematics), Likert Scales, Surveys, Test Interpretation

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A