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1 Conceptualizing data quality
2 Empirical findings on quality and comparability of survey data
3 Statistical techniques for data screening
4 Institutional quality control practices
5 Substantive or methodologyinduced factors?
6 Item difficulty and response quality
Other editions - View all
achievement decile groups assess biplot CatPCA Chapter co-occurrences cognitive competence cognitive maps compared consistent correlation correspondence analysis countries data quality data sets detect distribution efficacy and trust eigenvalues example explained variance extreme response factor loadings factor scores faked interviews federal government feelings Figure Finland focal domain Greenacre items H Krosnick latent variables less located low political interest matrix MCA map method-induced methodological negatively formulated items non-substantive responses NSRs number of dimensions PISA polarity political efficacy positive principal component analysis proud provincial government quantification questionnaire questions relatively respect response differentiation response format response options response quality response style response tendencies rotated satisficing scale second dimension set of items shows skew SMCA social desirability South Korea standard deviation statistical strongly agree strongly disagree subset substantive responses survey data Table task difficulty task simplification tion total inertia values variation World Values Survey