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ICPSR — Mixed Methods Research: Combining Quantitative and Qualitative Data and Strategies (VIRTUAL)

NC, United States

Mixed methods research typically refers to research design and implementation that combines qualitative and quantitative data collection and/or analysis strategies. This course examines best practices, through the review of exemplars and discussion of theoretical approaches, in “mixing” methods and integrating … Read more

ICPSR — Mixed Methods Research: Combining Quantitative and Qualitative Data and Strategies (VIRTUAL)

NC, United States

Mixed methods research typically refers to research design and implementation that combines qualitative and quantitative data collection and/or analysis strategies. This course examines best practices, through the review of exemplars and discussion of theoretical approaches, in “mixing” methods and integrating … Read more

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Read more

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Read more

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Read more

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Read more

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more