Data Analysis Training Institute of Connecticut

Storrs, Connecticut
Monday, June 05, 2017

2017 Workshops

Structural Equation Modeling using MPlus

June 5 - 9, 2017

Instructor: D. Betsy McCoach

This introductory workshop on Structural Equation Modeling covers basics of path analysis, confirmatory factor analysis, and latent variable modeling. Using Mplus, 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.

Longitudinal Modeling using MPlus

June 15 - 17, 2017

Instructor: D. Betsy McCoach

During this three day workshop, students will learn how to model longitudinal data using Mplus. The main focus of the workshop focuses is on fitting growth curve models in Mplus. Specifically, we will cover linear, polynomial, multiphase, non-linear growth curve models, and multivariate growth curve models, and latent change score models for both observed variables and latent constructs.

Topics to be covered include:

  • Time unstructured vs. Time structured data

  • Centering and coding variables for longitudinal models

  • Estimating Linear growth curve models

  • Time Varying Covariates

  • Estimating multiphase growth curve models

  • Estimating Polynomial growth curve models

  • Latent Basis growth curve Models

  • Estimating other types of non-linear growth curve models

  • Latent Change Score Models

  • Multivariate Models

  • Factorial invariance across time

Dyadic Data Analysis Using Multilevel Modeling with R

June 19 - 23, 2017

 Instructors: David A. Kenny & 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 actor-partner interdependence model, the analysis of distinguishable and indistinguishable dyads, mediation and moderation of dyadic effects, and over-time analyses of dyadic data. All analyses will be conducted using R, but no prior knowledge or experience with R is required.  Participants are expected to have a working knowledge of multiple regression or analysis of variance.

Multilevel Modeling Using HLM

July 17-21, 2017

Instructor: D. Betsy McCoach

This 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 some experience using statistical software (such as SPSS, SAS, R, Stata). All analyses will be demonstrated using the software HLMv7. Instruction will consist of lectures, computer demonstrations of data analyses, and hands-on opportunities to analyze practice data sets using HLM. The workshop emphasizes practical applications and places minimal emphasis on statistical theory.  The workshop takes place in a computer lab, so you do not need to bring a laptop or software. The workshop is limited to 24 participants.

 

Contact Information

  • For programmatic questions, please contact:
    Betsy McCoach
    Phone: 860-486-0183
    Email: betsy.mccoach@uconn.edu

    For registration questions, please contact:
    University Events and
    Conference Services
    Phone: 860-486-1038
    Fax: 860-486-1064
    Email: conferences@uconn.edu

Payment Instructions

  • The following payment methods are accepted:

    Visa, Mastercard, Discover, and American Express

    Purchase orders

    Check payments

    Wire transfers (please call the office at 860-486-1038 for details)

    KFS transfers (UConn only)  

    For Purchase orders, please include:

    - purchase order number

    - maximum amount of purchase order
     
    - valid start and end dates

    - contact information of the person responsible for payment of purchase order
     
    - the names of the attendees that the purchase order covers

    Purchase orders should be submitted using ONE of the following methods:

    - upload during the registration process on the "Additional Info" page

    - email to conferences@uconn.edu

    - fax to 860-486-1064

    - mail to the address below

    Make purchase orders, check payments, and money orders payable in U.S. funds to:

    UConn - DATIC

    Check payments, money orders, and purchase orders (if applicable) should be mailed to:

    Datic
    UConn
    University Events and Conference Services
    438 Whitney Road Ext., Unit 1185
    Storrs, CT 06269-1185

    Please click here for UConn's W-9 form.

    For Wire Transfer Instructions, please  make your payment at:

    https://gpx.globalpay.wu.com/uconn

    Please ensure you have the full name of the program, your invoice number, and total amount due.

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