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Cohort Analysis of Data Obtained Using a Multiple Choice Question

In: Measurement and Multivariate Analysis

Author

Listed:
  • Takashi Nakamura

    (The Institute of Statistical Mathematics)

Abstract

Summary Cohort analysis is a method of estimating the age, period, and cohort effects from time-series social survey data. A Bayesian multinomial logit cohort (BMLC) model is presented to analyze categorical data obtained using a multiple choice question. The model is identical to the existing Bayesian logit cohort (BLC) model when the number of response categories equals two. Data on religious attitudes from a study of the Japanese national character is analyzed both by using the BLC model with each category separated, and by using the BMLC model on all categories simultaneously, to show the utility of the latter model.

Suggested Citation

  • Takashi Nakamura, 2002. "Cohort Analysis of Data Obtained Using a Multiple Choice Question," Springer Books, in: Shizuhiko Nishisato & Yasumasa Baba & Hamparsum Bozdogan & Koji Kanefuji (ed.), Measurement and Multivariate Analysis, pages 241-248, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-65955-6_26
    DOI: 10.1007/978-4-431-65955-6_26
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