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• W2893182002 abstract "Traditionally, total survey error (TSE) has been used to describe the error structure of a single survey. But much of the survey research involves the use of two or more surveys such as in the analysis of time series, longitudinal panels, and comparative studies such as those that are multinational, multiregional, and multicultural (3MC) studies. This chapter examines the concept of TSE, including interactions between the error components, its application when multiple surveys are involved, and comparison error across multinational surveys. It explores the challenges of doing multinational surveys and explains how combining traditional approaches for maximizing functional equivalence with the utilization of TSE can minimize comparison error and maximize comparative reliability and validity. The chapter also examines the issues relating to evaluating scales designed to measure constructs in comparative survey research. Finally, it considers combined use of the multilevel, multisource (MLMS) approach and TSE in multinational surveys." @default.
• W2893182002 created "2018-10-05" @default.
• W2893182002 creator A5059230796 @default.
• W2893182002 date "2018-09-28" @default.
• W2893182002 modified "2023-10-18" @default.
• W2893182002 title "Improving Multinational, Multiregional, and Multicultural (3MC) Comparability Using the Total Survey Error (TSE) Paradigm" @default.
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• W2893182002 doi "https://doi.org/10.1002/9781118884997.ch2" @default.
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