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b. Study the table and comment on the patterns of results in terms of which variables are relatively strongly correlated and which are not as strongly correlated.

b. Study the table and comment on the patterns of results in terms of which variables are relatively strongly correlated and which are not as strongly correlated.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Edit File AutoSave Format Tools Table Window Help Writing Assignment #3 - Interpreting Correlations and Designing a Researc... V W Layout References Share Comments View Acrobat Review Mailings Tell me V A A = Stylos Dictate Editor Create and Share Request Adobe PDF Signatures V WARMTRAIN V 2↓ ¶1 UBIRA 1. Dr. Mahrer was interested in studying the relationships between different parenting behaviors and child mental health outcomes. She collected data from a sample of N = 127 mothers. Mothers participated in a play task with their children where their parenting was coded. Mothers reported on their child's internalizing and externalizing behaviors. The person correlation results are as follows: Responsive Rejecting Internalizing Problems Externalizing Problems Parenting Parenting 1.00 Responsive Parenting -.44** -.34** -.26** -44** 1.00 .29* .17 Rejecting Parenting Internalizing Problems -.34** .29* 1.00 .62** Externalizing Problems -.26** .17 .62** 1.00 Note: *p<.05, **p<.01 a. Explain what is meant by a correlation coefficient (size and direction) using two of the correlations as examples. Bib The correlation coefficient describes how one variable moves in relation to another. A positive correlation indicates that the two move in the same direction. A negative correlation coefficient tells you that they instead move in opposite directions. The direction of the relationship (positive or negative) is indicated by the sign of the coefficient. The size of the correlation coefficient indicates the strength of the association. For example, b. Study the table and comment on the patterns of results in terms of which variables are relatively strongly correlated and which are not as strongly correlated. c. Comment on the limitations of making conclusions about direction of causality based on these data. In other words, discuss the issue of making cause-effect statements using correlations. Causality expresses a cause and effect between two variables. It indicates a relationship between the variables where one causes the other. However, correlation only gives us the strength and direction of the linear relationships. d. Identify one possible confounding variable and explain how it might affect these results (i.e., how it would relate to each variable and make it look like there is an association even if it weren't true). One confounding variable would be home situations. Where they're coming from (financially, mentally, etc.) at home can determine a relationship between a mother and a child. Focus REE - View Design 12 mes New... Y B I UV ab Insert 541 words English (United States)
Transcribed Image Text:Edit File AutoSave Format Tools Table Window Help Writing Assignment #3 - Interpreting Correlations and Designing a Researc... V W Layout References Share Comments View Acrobat Review Mailings Tell me V A A = Stylos Dictate Editor Create and Share Request Adobe PDF Signatures V WARMTRAIN V 2↓ ¶1 UBIRA 1. Dr. Mahrer was interested in studying the relationships between different parenting behaviors and child mental health outcomes. She collected data from a sample of N = 127 mothers. Mothers participated in a play task with their children where their parenting was coded. Mothers reported on their child's internalizing and externalizing behaviors. The person correlation results are as follows: Responsive Rejecting Internalizing Problems Externalizing Problems Parenting Parenting 1.00 Responsive Parenting -.44** -.34** -.26** -44** 1.00 .29* .17 Rejecting Parenting Internalizing Problems -.34** .29* 1.00 .62** Externalizing Problems -.26** .17 .62** 1.00 Note: *p<.05, **p<.01 a. Explain what is meant by a correlation coefficient (size and direction) using two of the correlations as examples. Bib The correlation coefficient describes how one variable moves in relation to another. A positive correlation indicates that the two move in the same direction. A negative correlation coefficient tells you that they instead move in opposite directions. The direction of the relationship (positive or negative) is indicated by the sign of the coefficient. The size of the correlation coefficient indicates the strength of the association. For example, b. Study the table and comment on the patterns of results in terms of which variables are relatively strongly correlated and which are not as strongly correlated. c. Comment on the limitations of making conclusions about direction of causality based on these data. In other words, discuss the issue of making cause-effect statements using correlations. Causality expresses a cause and effect between two variables. It indicates a relationship between the variables where one causes the other. However, correlation only gives us the strength and direction of the linear relationships. d. Identify one possible confounding variable and explain how it might affect these results (i.e., how it would relate to each variable and make it look like there is an association even if it weren't true). One confounding variable would be home situations. Where they're coming from (financially, mentally, etc.) at home can determine a relationship between a mother and a child. Focus REE - View Design 12 mes New... Y B I UV ab Insert 541 words English (United States)
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