Correction- DATIC descriptions

[Mccoach, D. Betsy]

Some of the descriptions of the workshops were bungled in some of my earlier postings, therefore, I am reposting this. Sorry for those who have already seen this multiple times.

Data Analysis Training Institute of Connecticut (DATIC) will be offering three one- week workshops in the summer of 2013 at the University of Connecticut.  Online registration is currently open.  Space is limited to 24 participants per workshop, so please register early. For more information or to register for the workshops, go to www.datic.uconn.edu<http://www.datic.uconn.edu/>

For questions about DATIC, please email [hidden email]<mailto:[hidden email]> or [hidden email]<mailto:[hidden email]>

Dyadic Data Analysis Using Multilevel Modeling
June 3–7, 2013
Instructors: David A. Kenny and Randi Garcia
The workshop on dyadic data analysis will focus on data where both members of a dyad are measured on the same set of variables. Among the topics to be covered are the measurement of nonindependence, the actor-partner interdependence model, the analysis of distinguishable and indistinguishable dyads, mediation and moderation of dyadic effects, and over-time analyses of dyadic data. The software package used in the workshop will be SPSS, but there will be discussion of other packages (e.g., HLM) and structural equation modeling. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression or analysis of variance, as well as SPSS.

Structural Equation Modeling
June 10–14, 2013

Instructor: D. Betsy McCoach

This introductory workshop on Structural Equation Modeling covers basics of path analysis, confirmatory factor analysis, and latent variable modeling. Using AMOS Graphics, participants will learn how to build, evaluate, and revise structural equation models. Although the workshop does not require any prior knowledge or experience with SEM, participants are expected to have a working knowledge of multiple regression, as well as some experience using a statistical software program such as SPSS.



Hierarchical Linear Modeling (HLM)
June 17–21, 2013

Instructors: D. Betsy McCoach, & Ann A. O’Connell

Each HLM workshop covers basics and applications of multilevel modeling with extensions to more complex designs. Participants will learn how to analyze both organizational and longitudinal (growth curve) data using multilevel modeling and to interpret the results from their analyses. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression as well as SPSS (or SAS). Analyses will be demonstrated using the software HLMv7. Instruction will consist of lectures, computer workshops, and individualized consultations. The workshop emphasizes practical applications and places minimal emphasis on statistical theory.

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