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  • This chapter aims at examining the main statistical issues that any researcher faces when generating and eventually analyzing a harmonized data set. We first present the challenges faced when combining the data. Three steps must be taken when combining data sets. We must select the appropriate data and measures. We must decide which analytical procedure(s) to use and, once these decisions have been taken, it is necessary to make sure that the analyses performed on the harmonized data set will not lead to biased results. How we deal with these issues often determines what we can – or cannot – do with the data set afterward. We tackle three issues that stem from analyzing harmonized data sets, that is dealing with time, with missing values, and with weighting. This chapter shows that there are so many differences between survey projects, including the questions asked, the way they are asked, and where and when they are asked, that any analysis has to carefully assess how these different aspects interact with each other before reaching firm conclusions on specific effects. (xsd:string)
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  • 2023 (xsd:gyear)
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  • 2023 (xsd:gyear)
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  • 10.1002/9781119712206.ch20 ()
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  • 347 (xsd:string)
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  • 9781119712206 ()
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  • On Using Harmonized Data in Statistical Analysis: Notes of Caution (xsd:string)
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  • Survey Data Harmonization in the Social Sciences (xsd:string)
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  • In Survey Data Harmonization in the Social Sciences, edited by Slomczynski, Kazimierz M. and Tomescu-Dubrow, Irina and Jenkins, J. Craig and Wolf, Christof, 347-365, John Wiley & Sons, 2023 (xsd:string)
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  • 2023 (xsd:string)
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  • 365 (xsd:string)
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