TAMU SOCI 304 - Principles of Causal Analysis (4 pages)

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Principles of Causal Analysis



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Principles of Causal Analysis

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The principles of Causal analysis


Lecture number:
4
Pages:
4
Type:
Lecture Note
School:
Texas A&M University
Course:
Soci 304 - Criminology
Edition:
1

Unformatted text preview:

Soci 304 1nd Edition Lecture 4 Outline of Last Lecture I Types of UCR Outline of Current Lecture II Theory correlations III Principles of causal analysis IV Validity of URC Current Lecture Theory to make causal arguments about causes of crime Make statements about relationships between observable phenomena The key is that is can be falsified meaning that it can be proven to be wrong Correlation things tend to vary systematically in relation to each other Such as weight and height Positive correlation as one variable goes up the other variable goes up as well It can mean the direction as well It has a positive direction Represented by positive in causal diagrams Negative Correlation as one variable goes up the other decreases Ex the more miles on a car the less it is worth Represented in the negative causal diagrams R Pearson correlation coefficient Shows the degree of association between variables Varies between 1 to 2 R 1 is positive and it represents a perfect correlation R 0 means no correlation R 1 is negative and represents a perfect negative correlation Most of the time almost always there is never a perfect correlation They are more around 2 or 3 Lets us understand the relationship between two variables These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute Correlations yields information on the relationship between variables Theories make causal statements needs to establish causality We need a theoretical rationale to have a good reason to believe a relationship exists Principles of Causal Analysis Harsh punishment cause of delinquency A causes B A independent variable and B dependent variable The outcome variable 3 Criteria s of Causality 1 A and B are statistically associated relationship Correlation coefficient is r 1 to 1 R 23 moderate positive association R 15 weaker negative association R 1 perfect association 2 A is causally prior to B causal order or



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