Events

ISSR Summer Methodology Workshops | Practical Web and Text Scraping | Matthew Denny

Wednesday, May 24, 2017 - 9:00am to 4:00pm
Thursday, May 25, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
In this two-day short course, participants will learn how to efficiently automate the process of collecting data from large numbers of websites and text files using R. This workshop will include a mini-unit on text processing in R, as well as a mini-unit on scraping Twitter using R.

ISSR Summer Methodology Workshops | Text-as-Data in R | Douglas Rice

Thursday, June 1, 2017 - 9:00am to 4:00pm
Friday, June 2, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
With the recent explosion in availability of digitized text, social scientists increasingly are turning to computational tools for the analysis of text as data. In this two-day course, participants will first learn how to convert text to formats suitable for analysis. From there, the course will introduce and proceed through tutorials on a variety of approaches to the treatment of text-as-data.

ISSR Summer Methodology Workshops | Text-as-Data in R | Douglas Rice

Thursday, June 1, 2017 - 9:00am to 4:00pm
Friday, June 2, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
With the recent explosion in availability of digitized text, social scientists increasingly are turning to computational tools for the analysis of text as data. In this two-day course, participants will first learn how to convert text to formats suitable for analysis. From there, the course will introduce and proceed through tutorials on a variety of approaches to the treatment of text-as-data.

ISSR Summer Methodology Workshops | Qualitative Research Design and Methods | Chrystal G. Mwangi and Ezekiel Kimball

Monday, June 12, 2017 - 9:00am to 2:00pm
Tuesday, June 13, 2017 - 9:00am to 2:00pm
Wednesday, June 14, 2017 - 9:00am to 2:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This three-day workshop provides an overview of how qualitative researchers think (research design) and what they do (research methods). Participants will gain hands-on experience with qualitative research by contributing to the design and execution of a small-scale study developed by the facilitators.

ISSR Summer Methodology Workshops | Qualitative Research Design and Methods | Chrystal G. Mwangi and Ezekiel Kimball

Monday, June 12, 2017 - 9:00am to 2:00pm
Tuesday, June 13, 2017 - 9:00am to 2:00pm
Wednesday, June 14, 2017 - 9:00am to 2:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This three-day workshop provides an overview of how qualitative researchers think (research design) and what they do (research methods). Participants will gain hands-on experience with qualitative research by contributing to the design and execution of a small-scale study developed by the facilitators.

ISSR Summer Methodology Workshops | Qualitative Research Design and Methods | Chrystal G. Mwangi and Ezekiel Kimball

Monday, June 12, 2017 - 9:00am to 2:00pm
Tuesday, June 13, 2017 - 9:00am to 2:00pm
Wednesday, June 14, 2017 - 9:00am to 2:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall
This three-day workshop provides an overview of how qualitative researchers think (research design) and what they do (research methods). Participants will gain hands-on experience with qualitative research by contributing to the design and execution of a small-scale study developed by the facilitators.

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.

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