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Research Design Purposes for Research Criteria for Causation Units of Analysis The Time Component.

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Presentation on theme: "Research Design Purposes for Research Criteria for Causation Units of Analysis The Time Component."— Presentation transcript:

1 Research Design Purposes for Research Criteria for Causation Units of Analysis The Time Component

2 Three Purposes of Research Exploration Description Explanation

3 Criteria for Causation Two Things Must be Related (Correlation) The Cause Must Precede the Effect (Time ordering) The Relationship Must be “Non-Spurious”

4 Common Mistakes “Complete” causation Exceptional cases Majority of cases

5 Necessary / Sufficient A Necessary Cause –X must be present for Y to occur A Sufficient Cause –If X is present, Y must occur

6 Units of Analysis This is the “what” that is being studied –Social scientists can have almost anything as the unit of analysis –It is even possible to have a study with multiple units of analysis Be CAREFUL –Knowing that a person studied “people” does not necessarily tell you the unit of analysis

7 Some of my tricks… Look at what a researcher is predicting or counting—if something is expressed in “rates,” it is a group level unit of analysis Rephrase a persons research hypothesis or statement in way that makes the unit of analysis more explicit If “groups” are a part of the study, figure out whether the researcher is comparing groups, or simply using group status as an “attribute” in order to compare individuals

8 The Individual Level Typically, individual people –Don’t confuse “generalizing” with units of analysis –You can study “groups” or “classes” of people, but still have individuals as unit of analysis Non-people examples –Social artifacts and Social interactions Typically individual, but could be aggregates

9 Group (Aggregate) Level KEY = the group is the entity we study— looking at attributes of the group –May sometimes studies individuals to construct such attributes (e.g., construct rate) Organizations –Corporations, churches,

10 TIME Why is “time” important? –Causal ordering –Generalization Cross-Sectional Research Longitudinal –Trend –Cohort –Panel

11 Ways to Get Around Longitudinal Research (e.g., Cheating) Logic can sometimes dictate cause and effect Sometimes the data can help draw conclusions about cause and effect Retrospective studies Use age differences within sample to reach conclusions Repeat a prior cross-sectional study

12 Designing a Research Project Research is MESSY!!! Theories and Ideas Starting Point –Read, read, read –Purpose of research Conceptualization Choice of Research Method


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