By Gregory B. Markus
An advent to a number of suggestions which may be utilized in the research of information from a panel examine -- info received from loads of entities at or extra deadlines. the focal point of this quantity is on research instead of difficulties of sampling or layout, and its emphasis is on software instead of conception.
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Extra info for Analyzing Panel Data (Quantitative Applications in the Social Sciences)
01 Page 21 change processes permitted by his approach. Second, the Wiggins models explicity incorporate the idea that an individual's manifest response to a survey item is but an imperfect reflection of an unobservable underlying attitude, or latent attitude in Wiggins's terminology. For example, opinions toward a political stimulus may vary widely from strongly favorable to strongly unfavorable. , an "agree-disagree" response format will entail some error. For each category of latent attitude, there is a probability of an agree response and of a disagree response.
Professor Markus discussesin his paper's first halfthe use of numerous techniques appropriate to the analysis of discrete or categorical data. He begins with a discussion of Markov models, which are used to provide representations of dynamic processes. Unfortunately, Markov models have two shortcomings: They do not incorporate measurement error, and they do not explain change over timethey merely describe that change. Markus then moves to a discussion of models suggested by L. M. Wiggins and J.
It is apparent from Table 5 that transition probabilities linking class identifications in 1958 and 1960 vary with 1956 identification. 43 if the 1956 identification was with the working class. 00(361)(786)(1147) Goodman (1962) has suggested that a chi-square test be employed to test the hypothesis that the transition process is second order rather than first order. The procedure is quite similar to the test applied to Table 4. One first divides Table 5 along the dashed line to form two subtables.
Analyzing Panel Data (Quantitative Applications in the Social Sciences) by Gregory B. Markus