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Summer Methodology Workshop on Diary Data Analysis |
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| Posted by: | Paula Pietromonaco |
| Title/Position: | Professor |
| School/Organization: | University of Massachusetts, Amherst |
| Sent to listserv of: | SPSP, SESP, SPSSI |
| Date posted: | April 12th, 2011 |
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The Center for Research on Families at the University of Massachusetts Amherst announces:
Summer Methodology Workshop on Diary Data Analysis:
Modeling Diary Data With HLM
Dates: June 28-July 1, 2011
Location: Amherst, Massachusetts
Instructors:
Dr. Jean-Philippe Laurenceau, Psychology, University of Delaware
Dr. Niall Bolger, Psychology, Columbia University
Diary methods allow researchers to examine processes in daily life in a way that is not possible using traditional methods. Using diaries, researchers can obtain repeated observations on psychological variables over hours, days, and weeks. Diary data, however, present several data analytic challenges stemming from the various possible sources of interdependence in these data. The multilevel or hierarchical linear model (HLM) provides a flexible set of analytic tools that can take account of these complexities.
Workshop topics will include: History and introduction to diary methods and designs; analyzing the time course in diary data; analyzing within-person processes; extension to diary data from dyads; categorical diary outcomes; psychometrics of diary measures; power in diary studies; and mediation in diary data. The course will include lectures, software demonstrations, and computer lab work. The main software used will be HLM6 with a handful of more complex applications conducted in Mplus. Participants will be expected to provide their own laptop computers using the Windows operating system. We will provide copies of the software prior to the first class.
Fee: General: $1000 ; Students/CRF affiliates: $750
To Register: http://www.umass.edu/family
The UMass Amherst Center for Research on Families mission is to increase research on family issues, to build a multidisciplinary community of researchers who are studying issues of relevance to families, to connect national and internationally prominent family researchers with faculty and students, to provide advanced data analytic methods training and consultation, and to disseminate family research findings to scholars, families, practitioners, and policy-makers.
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