Lecture08

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wilsone

Technologie Gesundheit & Medizin

Covariance and Correlation ,[object Object],[object Object],[object Object]

Limitation of covariance ,[object Object],[object Object],[object Object]

Limitations of covariance ,[object Object],[object Object]

Go vary with yourself ,[object Object],[object Object]

Go vary with yourself ,[object Object],Note: I’ve written the variance of X as s X  s X because the variance is the SD squared

Go vary with yourself ,[object Object],[object Object],[object Object]

Spine-tingling moment ,[object Object],[object Object]

Correlation ,[object Object],[object Object],[object Object]

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Correlation ,[object Object],[object Object]

Correlation ,[object Object],[object Object],[object Object],[object Object]

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36030 Topic: Discussion1 Number of Pages: 2 (Double Spaced) Number of sources: 1 Writing Style: APA Type of document: Essay Academic Level:Master Category: Psychology Language Style: English (U.S.) Order Instructions: Attached I will upload the instruction Reference/Article Module 18: Correlational Research Magnitude, Scatterplots, and Types of Relationships Magnitude Scatterplots Positive Relationships Negative Relationships No Relationship Curvilinear Relationships Misinterpreting Correlations The Assumptions of Causality and Directionality The Third-Variable Problem Restrictive Range Curvilinear Relationships Prediction and Correlation Review of Key Terms Module Exercises Critical Thinking Check Answers Module 19: Correlation Coefficients The Pearson Product-Moment Correlation Coefficient: What It Is and What It Does Calculating the Pearson Product-Moment Correlation Interpreting the Pearson Product-Moment Correlation Alternative Correlation Coefficients Review of Key Terms Module Exercises Critical Thinking Check Answers Module 20: Advanced Correlational Techniques: Regression Analysis Regression Lines Calculating the Slope and y-intercept Prediction and Regression Multiple Regression Analysis Review of Key Terms Module Exercises Critical Thinking Check Answers Chapter 9 Summary and Review Chapter 9 Statistical Software Resources In this chapter, we discuss correlational research methods and correlational statistics. As a research method, correlational designs allow us to describe the relationship between two measured variables. A correlation coefficient aids us by assigning a numerical value to the observed relationship. We begin with a discussion of how to conduct correlational research, the magnitude and the direction of correlations, and graphical representations of correlations. We then turn to special considerations when interpreting correlations, how to use correlations for predictive purposes, and how to calculate correlation coefficients. Lastly, we will discuss an advanced correlational technique, regression analysis. MODULE 18 Correlational Research Learning Objectives •Describe the difference between strong, moderate, and weak correlation coefficients. •Draw and interpret scatterplots. •Explain negative, positive, curvilinear, and no relationship between variables. •Explain how assuming causality and directionality, the third-variable problem, restrictive ranges, and curvilinear relationships can be problematic when interpreting correlation coefficients. •Explain how correlations allow us to make predictions. When conducting correlational studies, researchers determine whether two naturally occurring variables (for example, height and weight, or smoking and cancer) are related to each other. Such studies assess whether the variables are “co-related” in some way—do people who are taller tend to weigh more, or do those who smoke tend to have a higher incidence of cancer? As we saw in Chapter 1, the correlationa.

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Lecture08

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12. Correlation

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16. r = + 1 r = + .70 r = + .30

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Lecture08

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