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Lecture

SOCI2030-JAN 28.docx

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Department
Sociology
Course
SOCI 2030
Professor
Tracy Supruniuk
Semester
Winter

Description
JAN 28th Lecture February-03-13 5:16 PM Aggregates + Individuals Attributes + variables -> logical groups of attributes (Independent & dependent variables) Example: Gender --> Abortion (m/f) (Pro/Anti) IND DEP ( dependant on independent for change) Control variables 1. Intervening Variable - rather than seeing a direct relationship, there's an intervening variable that leads to the change in the dependant variable a. EXAMPLE: X ----> I -----> Y Smoking ----> Tissue Damage ----> Lung Cancer Therefore the tissue damage is the intervening variable 2. Conditional Variable a. The relationship between X and Y can be changed depending on the 3rd variable EXAMPLE: income + views on capital punishment, if you add in gender as the 3rd variable , the relationship between the independent and dependent variable changes - may make it stronger or weaker b. Definition: variable that account for change in the relationship between independent and dependent variable when the general conditions change 3. Source of spuriousness variable a. which two events or variables have no direct causal connection, yet it may be wrongly inferred that they do, due to either coincidence or the presence of a certain third, unseen factor b. EXAMPLE: X -//- Y but C causes change in both X & Y --> swimming outdoors & ice-cream sales (false relationship) but C (hot weather) causes both X & Y to increase Quantitative Data & Qualitative Data  Quantitative: related to numbers  Qualitative: words, images, objects, signs & symbols Quantitative Qualitative  Researcher knows in advance what they  Knows roughly what they are looking for are looking for  The design emerges as the study unfolds  All aspects of the design are designed  Seen as more subjective - more interested in before the study looking at interpreting events  Seen as more objective and seeks  More time consuming with the use of precise measurements methods such as interviews  Seen as more efficient (the use of  More costly surveys are faster than interviews)  Get more context and produces more rich  The methods used are more time data efficient and less costly  Smaller s
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