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 »April 2024
Basics of multilevel modeling: Handling grouped data in research and evaluation
A 6-hour workshop taught by Paul D. Umbach, Ph.D. Regression workshop series discount! Register for this along with our workshops on Refresher on multiple regression for the applied researcher and Logistic Regression: Analyzing binary outcomes for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview This workshop provides the basics of multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a…
Find out more »