CRIM 320 Lecture Notes - Lecture 2: Ordinal Data, Theoretical Definition, Level Of Measurement

• School: Simon Fraser University
• Department: Criminology
• Course: CRIM 320
• Professor: Steph Dawson

Document Summary

Lecture 1: re(cid:448)ie(cid:449) of methods and statistics research starts by theory. Testable hypothesis: foundation of how we test theories. Hypothesis: children who come from a broken home are more likely to commit delinquency that children who come from an intact home. Need to create measurable observations measurement: assigning unit of analysis to an attribute on a variable. Unit of analysis: person or thing from which data is collected/being studied. Aggregates: selection of things put together (e. g. , families, school, census) Data: the thing we want to know about the person or thing collected. Variable: set of logical attributes that are of interest to researcher. Attribute of the thing (unit of analysis) that vary. To create variables - what are concepts and how to measure them measurement is the process of moving from abstract (concepts) to concrete (measurement of constructs) Two steps: conceptualization: process of formulating and clarifying concepts. Can use pre existing construct/definition (such as in dsm_v)