A comparison of approaches to the analysis of longitudinal categoric data | Zendy

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A comparison of approaches to the analysis of longitudinal categoric data

Author(s) -

Plewis Ian

Publication year - 1981

Publication title -

british journal of mathematical and statistical psychology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.157

H-Index - 51

eISSN - 2044-8317

pISSN - 0007-1102

DOI - 10.1111/j.2044-8317.1981.tb00622.x

Subject(s) - variable (mathematics) , econometrics , statistical analysis , statistical hypothesis testing , computer science , parametric statistics , longitudinal data , statistics , mathematics , data mining , mathematical analysis

Marascuilo & Serlin (1979) discuss the problem of measuring relative change for a dichotomous variable and suggest ways of testing for the statistical significance of such changes. This article considers alternatives to the non‐parametric approach adopted by Marascuilo & Serlin, alternatives which emphasize statistical models and which can be extended to all types of longitudinal categoric data. The models are fitted to the data presented by Marascuilo & Serlin, the results are compared and the advantages and disadvantages of the various approaches are discussed.

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