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School of Politics, Philosophy, and Public Affairs Quantitative Phase – Data Set

Closely following from the first qualitative phase of the RNGS project is the quantitative aspect of the long-term study. This second phase involves transposing the qualitative analyses of the impact of women’s movements and women’s policy agencies on policy formation in 13 western post industrial countries into a quantitative form through a “bridging approach.” For more on our bridging approach see Bridging through RNGS 2006.

RNGS transposed the major variables of the qualitative model into quantitative measures and descriptive texts in a way that allows testing of the project hypotheses AND provides user friendly information about the policy debates, women’s movements, and women’s policy agencies. The codebook includes a detailed discussion of nominal and operational definitions and measurements for each concept listed below. Each concept is broken-down into variables as well.

The final dataset contains 130 observations coded on 29 concepts with a total of 108 variables. It provides information on women’s movements, women’s policy offices, policy making processes and policy debates in the 13 countries over a 30 year time period. It is a unique source of cross-national, cross-sectoral, and longitudinal information on comparative gender policy issues.

RNGS researchers filled out new worksheets to transpose their qualitative descriptions into a form that could be coded. These uniform worksheets were used to code the variables/concepts of the study except for the national level independent variables. These worksheets produced additional text information that is included as an appendix to the quantitative data set. We conducted intercoder reliability checks on 22 debates (Cohen’s Kappa of 0.762). The RNGS dataset will also be archived with ICPSR in 2008.

RNGS Dataset Suite
The dataset suite includes a PDF codebook/users guide and two data files—one of the numerically based data set in SPSS and a second file with text appendices of supplemental descriptive information for 22 variables in PDF.

Washington State University