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Individual Pooling for Group-Based Modeling Under the Assumption of Ergodicity

Gonzales, Joseph E.; Ferrer, Emilio

Multivariate behavioral research. Volume 49:Issue 3 (2014); pp 245-260 -- Routledge, Taylor and Francis Group

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  • Title:
    Individual Pooling for Group-Based Modeling Under the Assumption of Ergodicity
  • Author: Gonzales, Joseph E.;
    Ferrer, Emilio
  • Found In: Multivariate behavioral research. Volume 49:Issue 3 (2014); pp 245-260
  • Journal Title: Multivariate behavioral research
  • Subjects: Psychology, Experimental--Periodicals; Psychometrics--Periodicals; Periodicals; Psychology, Experimental; Psychometrics; Dewey: 150.15195
  • Rights: Licensed
  • Publication Details: Routledge, Taylor and Francis Group
  • Abstract:

    Psychology principally utilizes nomothetic, interindividual approaches to model phenomena of interest. However, it is the case that these approaches do not always capture the processes for each individual in the sample. If the research is focused on individual processes, confining analysis to the idiographic level may be more appropriate. One way to overcome the nomothetic inability to capture idiographic processes is to identify those participants who meet the criteria of ergodicity and restrict analysis to the resulting sample. Under these conditions it is quantitatively justifiable to create a group model without concern that it may fail to represent each member's idiographic process. In this study we explore the utility of such a method by (a) applying an ergodic pooling test to a sample of dyads ( N = 128) who provided daily ( T = 50) self-reports of affect, (b) applying an ergodic pooling test to samples ( N = 4) of simulated ergodic time series data ( T = 50, 250, and 1, 000), (c) modeling dyads and simulated subgroups identified as ergodic, and (d) comparing the results from a model specified at the group level with those from models specified at the individual level.


  • Identifier: System Number: ETOCvdc_100027698459.0x000001; Journal ISSN: 0027-3171; doi/10.1080/00273171.2014.902298
  • Publication Date: 2014
  • Physical Description: Electronic
  • Shelfmark(s): 5983.300000
  • UIN: ETOCvdc_100027698459.0x000001

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