CRIM 320 Lecture : Crim 320 week 12.docx

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blueseal520

17 Apr 2012

School

Simon Fraser University

Department

Criminology

Course

CRIM 320

Professor

Patrick Lussier

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Document Summary

Topics: what is a correlation, when it should and should not be used, what are the underlying assumptions, how to conduct a correlation, how to test simple hypothesis. The mean score is very important, therefore you can"t use categorical variables. There is a hypothesis that lower iq is likely to be convicted but not more self-reported delinquency. More delinquent friends may be associated with more self reported delinquency. But a third variable could be that they participants also have a delinquent member in the family. Hypothesis: h1: the earlier the age of onset of delinquency, the more crimes will be committed. Null hypothesis: h0: the age of onset of delinquency is not related to the number of crimes committed. Correlation is a standardized measure: score divided by standard deviation. Easier to interpret than covariance: metric of both variables is often different. Guidelines for interpreting the strength of the relationship: 1. 00=perfect relationship

Related Questions

Identify the true statements about the correlation coefficient, r.

a.) The correlation coefficient is not affected by outliers.

b.)The value of r ranges from negative one to positive one.

c.) When the data points in a scatter plot fall closely around a straight line that is either increasing or decreasing, the correlation between the two variables is strong.

d.) A correlation coefficient of zero means that no relationship exists between the two variables.

e.) If two variables are positively correlated, when one variable increases, the other variable decreases.

f.) The sign of r describes the direction of the association between two variables.

bluefly693

Psychology of adulthood and aging;

Here is a question related to adulthood/aging that you think science canât answer:

Does age determine adulthood?

Then you will try to demonstrate how science could answer a related question. (Change the question to): When should a person be considered an adult?

Objectives:

Students should be able to speculate as to why two variables might be correlated, identify what a correlation between variables is not telling us, and anticipate what kind of research studies could further clarify a correlation between variables.

Students should be able to define operationalization, hypothesis, and be able to describe the scientific method by which psychologists study adulthood and aging.

a-First psychological variable

b-Give it a label

c-Briefly describe this variable.

Describe how this variable can be operationalized (that is, describe exactly how you determine which category or which value of the variable applies to a particular person or situation).

Second variable that you believe is related to your first variable.

a-Give it a label.

b-Briefly describe this variable.

c-Describe how this variable can be operationalized.

Once the variables are defined, the next step is to predict the relationship between these two variables by writing a hypothesis. A hypothesis is a prediction about the relationship between two or more variables. For now, assume that there is a causal relationship between the two variables even if it would be impossible or unethical to test a causal hypothesis. This means that changing a personâs score on one of the variables (the independent variable) would cause the personâs score on the other variable (the dependent variable) to change. For example, you might say, âIncreasing the amount of violent television that a person watches will cause that person to exhibit more aggressive behaviors.â

The measure of the strength of the linear relationship between two variables is referred to as the:

a) Quotient of Correlation

b) Coefficient of Correlation

c)Measure of Strength

d) Lease Squares

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CRIM 320 Lecture : Crim 320 week 12.docx

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