# Linear and Nonlinear Relationships Between Variables

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Question description

How two things are related or the degree to which they are related is often a question in any area of research, including forensic psychology research. A researcher might ask these questions: To what degree are drug use and criminal recidivism related? Are mental illness and violence related? To what degree is an increase in police patrols related to a decrease in crime rates?

Each of these forensic psychology research questions can be addressed using a correlational design. Correlational designs help determine if there is a relationship between variables. The relationship may be positive, meaning there is a positive linear relationship between the two variables; the relationship may be negative, which means there is a weak or nonexistent linear relationship between the two variables; or, the relationship may be curvilinear, which means that at times there appears to be a relationship and at times there does not.

To prepare for this assignment:

• Review Chapter 9 in course text book, Research Methods for the Behavioral Sciences. Pay attention to the descriptions and examples of linear and nonlinear relationships, positive and negative linear relationships, and curvilinear relationships.
• Consider how these relationships are determined and what impact each type of relationship may have on a researcher’s ability to make predictions.
• Select and review two or three articles on criminal recidivism, violent crime, or domestic violence in which the variables have positive and negative linear relationships.
• Consider the implications if the variables had a curvilinear relationship instead.

With these thoughts in mind:

• Write in APA formatting:
• 1) Select and review two or three articles on criminal recidivism, violent crime, or domestic violence in which the variables have positive and negative linear relationships.
• 2) Offer a description of two variable that have a positive linear relationship and two variables that have a negaitve linear relationship in the articles you read.
• 3) Then, explain the implications on the studies if each of those variables had a curvilinear relationship instead.

Robert__F
School: Cornell University

Running head: LINEAR AND CURVILINEAR MODELS: VIOLENCE

Linear and Curvilinear Models: Evaluation of the Impact of Different Variables on Violence
(Name)
(Course)
(Date)

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LINEAR AND CURVILINEAR MODELS: VIOLENCE

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Linear and Curvilinear Models: Evaluation of the Impact of Different Variables on Violence
Research has repeatedly associated a violent behavior with multiple variables. In this
regard, multiple sociologists and psychologists tried to develop models through which to
understand how the different variables could affect the violent behavior in an individual, to
design a strategy that could potentially decrease such violence by acting over the different
causes. The present paper analyzes the different linear and curvilinear models developed to
explain violent behavior among youth people.
Linear models developed for family vi...

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Anonymous
Wow this is really good.... didn't expect it. Sweet!!!!

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