If you use these materials, please include the following citation.
MeredithRolfe, , 2011, "Measurement and Concept Formation", http://opossem.org/content/measurement-and-concept-formation
Type of Material:
Lecture Notes and Slides
Creative Commons License:
CC BY-NC-SA 3.0
Level:
grad
Level:
undergrad
This lecture is a very basic introduction to measurement and concept formation. It covers the following topics: theoretical constructs; translation of constructs into indicators or variables; nominal, ordinal, continuous and ratio measures; measurement techniques; measurement reliabiity and validity; debates in the measurement literature; and a brief introdution at the end to graph-based or multi-dimensional measurement.
The lecture was aimed at first year IR students with no background or interest in quantitative methods, although it is likely suitable with minor modifications for undergraduate and intro graduate political science students. I have some notes available in the notes section, although these are not complete.
If you use these materials, please include the following citation.
ScottMcClurg, , 2011, "Scope and Methods Syllabus", http://opossem.org/content/scope-and-methods-syllabus
Type of Material:
Syllabus
Creative Commons License:
CC BY-NC-SA 3.0
Level:
grad
This is a graduate-level, proseminar in political science research. It covers the full range of topics related to methodology, including epistimology, causality, theory and hypothesis, case selection, measurement and concept formation, and styles of research.
If you use these materials, please include the following citation.
AnandSokhey, , 2011, "scope and methods (graduate research design) syllabus", http://opossem.org/content/scope-and-methods-graduate-research-design-syllabus
Type of Material:
Syllabus
Creative Commons License:
CC BY-NC-SA 3.0
Level:
grad
Attached is a graduate-level syllabus on scope and methods/research design, with a subsequent focus on professional development. Topics covered include causality, models, theories/hypotheses, concepts, measurement, experiments, case selection and qualitative and quantitative observational designs.
