A Model for Transferring Variables Between Different Data-sets Based on Imputation of Individual Scores

Bojan Todosijevic

    Research output: Contribution to conferencePaper

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    Abstract

    It is an often encountered problem that variables of interest are scattered in different data sets. Given the two methodologically similar surveys, a question not asked in one survey could be seen as a special case of missing data problem (Gelman et al., 1998). The paper presents a model for transferring variables between different data-sets applying the procedures for multiple imputation of missing values.
    The feasibility of this approach was assessed using two Dutch surveys: Social and Cultural Developments in The Netherlands (SOCON 2000) and the Dutch Election Study (NKO 2002). An imputation model for the left-right ideological self-placement was developed based on the SOCON survey. In the next step, left-right scores were imputed to the respondents from the NKO study. The outcome of the imputation was evaluated, first, by comparing the imputed variables with the left-right scores collected in three waves of the NKO study. Second, the imputed and the original NKO left-right variables are compared in terms of their associations with a broad set of attitudinal variables from the NKO data set.
    The results show that one would reach similar conclusions using the original or imputed variable, albeit with the increased risk of making Type II errors.
    Original languageEnglish
    Pages111-111
    Publication statusPublished - 2007
    EventEuropean Survey Research Association Conference, ESRA 2007 - Prague, Czech Republic
    Duration: 25 Jun 200729 Jun 2007

    Conference

    ConferenceEuropean Survey Research Association Conference, ESRA 2007
    Abbreviated titleESRA
    CountryCzech Republic
    CityPrague
    Period25/06/0729/06/07

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    Todosijevic, B. (2007). A Model for Transferring Variables Between Different Data-sets Based on Imputation of Individual Scores. 111-111. Paper presented at European Survey Research Association Conference, ESRA 2007 , Prague, Czech Republic.