Handling Missing Data With SPSS/PC+: A Test and a Tutorial Article

Stolzenberg, L, D'alessio, SJ. (1993). Handling Missing Data With SPSS/PC+: A Test and a Tutorial . Social science computer review, 11(2), 185-196. 10.1177/089443939301100204

cited authors

  • Stolzenberg, L; D'alessio, SJ

abstract

  • The statistical analysis of data with missing information occurs with great frequency in quantitative research. Although an enormous amount of literature has been produced on this subject, most of it assumes a strong background in statistics. In this paper we use SPSS/PC+ 4.0 to illustrate seven statistical procedures commonly employed by researchers to deal with missing data. We also assess how the use of a particular technique impacts findings in a multivariate regression analysis. Our results show that parameter estimates differ depending on which missing-data procedure is selected for use in an analysis. The implications of these findings are discussed. Keywords: Missing data, SPSS/PC+, incomplete data, missing observations. © 1993, Sage Publications. All rights reserved.

authors

publication date

  • January 1, 1993

published in

Digital Object Identifier (DOI)

start page

  • 185

end page

  • 196

volume

  • 11

issue

  • 2