Events

ISSR Summer Methodology Workshops | Fundamentals of Survey Design and Implementation | Brett Butler

Thursday, June 22, 2017 - 9:00am to 4:00pm
Friday, June 23, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This two-day workshop is intended for those with little to moderate experience with surveys, following an approach that considers all parts of the survey process from the perspective of the respondents and minimizes errors. Specific topics to be covered include steps in the survey process, IRB, survey modes, sampling methods, non-response bias assessment, question design, questionnaire construction, pre-testing of survey instruments, survey implementation, data hygiene, and basic data analyses.

ISSR Summer Methodology Workshops | Fundamentals of Survey Design and Implementation | Brett Butler

Thursday, June 22, 2017 - 9:00am to 4:00pm
Friday, June 23, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This two-day workshop is intended for those with little to moderate experience with surveys, following an approach that considers all parts of the survey process from the perspective of the respondents and minimizes errors. Specific topics to be covered include steps in the survey process, IRB, survey modes, sampling methods, non-response bias assessment, question design, questionnaire construction, pre-testing of survey instruments, survey implementation, data hygiene, and basic data analyses.

ISSR Summer Methodology Workshops | Causal Inference with Graphical Models | David Jensen

Monday, June 26, 2017 - 9:00am to 4:00pm
Tuesday, June 27, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
A large number of analytical methods have been developed to infer causal dependence from observational data, including propensity score matching, instrumental variable designs, interrupted time-series designs, and many others. Unfortunately, the assumptions and limitations of these methods can be difficult to explain and reason about. This tutorial introduces participants to causal graphical models, a powerful formalism developed within computer science and statistics. This tutorial assumes only a basic understanding of probability and statistics and no knowledge of programming.

ISSR Summer Methodology Workshops | Causal Inference with Graphical Models | David Jensen

Monday, June 26, 2017 - 9:00am to 4:00pm
Tuesday, June 27, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
A large number of analytical methods have been developed to infer causal dependence from observational data, including propensity score matching, instrumental variable designs, interrupted time-series designs, and many others. Unfortunately, the assumptions and limitations of these methods can be difficult to explain and reason about. This tutorial introduces participants to causal graphical models, a powerful formalism developed within computer science and statistics. This tutorial assumes only a basic understanding of probability and statistics and no knowledge of programming.

ISSR Summer Methodology Workshops | Latent Variable Measurement in R | Justin Gross

Monday, July 17, 2017 - 9:00am to 4:00pm
Tuesday, July 18, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This two-day short course will introduce exploratory factor analysis (FA), item response (latent trait) theory (IRT), and latent class analysis (LCA) using the R statistical computing environment. Participants will learn the fundamentals of three popular approaches to measurement and scaling of latent variables, using R software. Our focus will be on understanding the assumptions of each family of models, learning how to prepare data to be analyzed in R, and interpreting results.

ISSR Summer Methodology Workshops | Latent Variable Measurement in R | Justin Gross

Monday, July 17, 2017 - 9:00am to 4:00pm
Tuesday, July 18, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This two-day short course will introduce exploratory factor analysis (FA), item response (latent trait) theory (IRT), and latent class analysis (LCA) using the R statistical computing environment. Participants will learn the fundamentals of three popular approaches to measurement and scaling of latent variables, using R software. Our focus will be on understanding the assumptions of each family of models, learning how to prepare data to be analyzed in R, and interpreting results.

ISSR Summer Methodology Workshops | Modeling Emergence: Computer Simulation as a Theory-Building Tool | James Kitts

Tuesday, August 29, 2017 - 9:00am to 4:00pm
Wednesday, August 30, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | Dubois Library Room 1667
This workshop will allow participants to understand some of the goals and methods of social simulation, give them hands-on experience in experimenting on theoretical models, and point them to resources to begin using these tools in their own work. Applications will include social networks, organizations and population health models.

ISSR Summer Methodology Workshops | Modeling Emergence: Computer Simulation as a Theory-Building Tool | James Kitts

Tuesday, August 29, 2017 - 9:00am to 4:00pm
Wednesday, August 30, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | Dubois Library Room 1667
This workshop will allow participants to understand some of the goals and methods of social simulation, give them hands-on experience in experimenting on theoretical models, and point them to resources to begin using these tools in their own work. Applications will include social networks, organizations and population health models.

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