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Lecture 10

SOCIOL 2ZO3 Lecture 10 - February 12th.docx

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Department
Sociology
Course
SOCIOL 2Z03
Professor
Gerald Bierling
Semester
Winter

Description
Lecture 10 – February 12th • Operationalization Choices o Implications of level of measurement  Statistical analysis is specific to the level of measurement   Some variables can be treated at multiple levels of measurement: • Nominal: Has the country experiences civil unrest in the last 50 years?  (yes or no) • Ordinal: how much unrest has the country experienced in the last 50  years? (none, same, a lot) • Interval/ratio: how many incidents of civil unrest have occurred in the  country in last 50 years? (#) o Single or Multiple indicators?  Many of the concepts we deal with cant be measured with a single indicator  With multiple indicators we need method(s) to combine indicators – Chapter 6 o Additional consideration:  Sometimes ordinal data is treated as interval for statistical purposes; e.g., 5­point  response scales  • 1. Strongly agree • Somewhat agree • Neutral • Somewhat disagree • Strongly disagree   But is “neutral” really neutral? • Neutral means you don’t have an opinion or you don’t know your  opinion? Neutral can mean different things  100­point “feeling thermometers”; e.g., “on a scale of 0 to 100 (with 0 being cool  and 100 being warm), how would you rate your feelings towards…”  It seems interval, and is mostly treated as interval  But most people used “common” numbers for their responses – e.g., 20, 50, 75,  etc.  • Criteria of measurement quality o Precision and accuracy  Precise measures are superior to imprecise ones • E.g., knowing someone’s income is $65,000 provides more information  than knowing they make “a lot”   Precision is not the same as accuracy   Rule of
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