September 2015
Basics of multilevel modeling: handling grouped data in education settings
A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics multilevel modeling, focusing on practical applications rather than statistical theory. Researchers from a range disciplines often collect data that have a hierarchical structure. Students are nested within schools (and/or classrooms), employees are nested within firms, and multiple test scores are nested within students. One consequence of this nested structure is that observations not statistically independent, thus violating a basic assumption of standard analytical techniques. Ignoring the nesting effect and proceeding…
Find out more »March 2016
Basics of multilevel modeling: handling grouped data in research and evaluation
A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a range disciplines often collect data that have a hierarchical structure. Students are nested within schools (and/or classrooms), employees are nested within firms, and multiple test scores are nested within students. One consequence of this nested structure is that observations not statistically independent, thus violating a basic assumption of standard analytical techniques. Ignoring the nesting effect…
Find out more »June 2017
Basics of multilevel modeling: Handling grouped data in research and evaluation
A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a range disciplines often collect data that have a hierarchical structure. Students are nested within schools (and/or classrooms), employees are nested within firms, and multiple test scores are nested within students. One consequence of this nested structure is that observations not statistically independent, thus violating a basic assumption of standard analytical techniques. Ignoring the nesting effect…
Find out more »March 2020
Basics of multilevel modeling: handling grouped data in research and evaluation
A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics of multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a range of disciplines often collect data that have a hierarchical structure. Students are nested within schools (and/or classrooms), employees are nested within firms, and multiple test scores are nested within students. One consequence of this nested structure is that observations are not statistically independent, thus violating a basic assumption of standard analytical…
Find out more »