Question

In: Statistics and Probability

Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the...

Problem Set 2: Linear Regression Analysis

Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below.

Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. Create a scatterplot with a regression line to show the relationship between the variables.

Days Spent in Refugee Camp

HTQ Part 4 Score

12

0.4

73

1.1

60

0.9

105

2.3

98

1.7

76

0.3

89

0.7

173

2.6

189

3.1

203

3.0

138

1.9

215

2.5

71

0.7

67

1.2

63

1.8

184

2.9

63

0.6

  1. Paste SPSS output. (7 pts)
  1. Write an APA-style Results section based on your analysis. Include your scatterplot as an APA-style figure as demonstrated in the APA writing presentation. (Results = 8 pts; Graph = 5 pts)

Solutions

Expert Solution

Entering the given data and running a simple linear regression, using SPSS,

We get the output:

Interpretation and Results:

A simple linear regression was run to predict 'HTQ' Score' using 'No. of days spent in a refugee camp'. A significant regression equation was obtained F(1,15) = 52.383, p < 0.001), with an R2 of 0.777.The predicted HTQ score can be computed using the fitted equation:

Predicted HTQ score = 0.079 + 0.014 (Days spent in Refugee camp)

From the estimated slope coefficient, we find that the HTQ score increased by 0.014 units for every additional day spent at the refugee camp.

To obtain a scatter plot for the data:

We get the output:

To display the fitted regression line, activate the output:

We get the output:


Related Solutions

Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the...
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table...
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the...
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table...
Problem Set 1: Linear Regression Analysis Research Scenario: A community psychologist is interested in whether people’s...
Problem Set 1: Linear Regression Analysis Research Scenario: A community psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in...
Problem Set 1: Pearson Correlation Coefficient Analysis Research Scenario: A clinical psychologist would like to determine...
Problem Set 1: Pearson Correlation Coefficient Analysis Research Scenario: A clinical psychologist would like to determine whether there is a relationship between observer ratings of children’s externalizing behaviors and scores on an established diagnostic interview assessing externalizing disorders (like ADHD, CD, etc.). He administers the diagnostic interview to 25 children and records these scores. He then trains an observer to independently rate carefully-defined externalizing behaviors for each of the 25 children. These scores are totaled for an overall “externalizing behavior...
Problem Set 2: The independent-samples t test Research Scenario: A forensic psychologist has developed a new...
Problem Set 2: The independent-samples t test Research Scenario: A forensic psychologist has developed a new program that teaches empathy and positive social skills to youth offenders who are incarcerated for a violent offense. She wants to know whether this new treatment is more effective in increasing empathy than the standard treatment that these youth offenders usually receive. She sets up a treatment group that consists of 8 youth offenders incarcerated for violent offenses who will receive the new treatment....
Importance of linear regression in research analysis.
Importance of linear regression in research analysis.
Research Scenario: A community psychologist is interested in whether people’s self-reported degree of religious belief predicts...
Research Scenario: A community psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in the table below. Using this table,...
Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is...
Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is curious about the effects of a town hall meeting on people’s intentions to support a state proposition that would legalize gambling. He interviews people as they leave and asks them whether their opinion about the proposition has changed as a result of the meeting. He records these frequencies in the table below. Using this table, enter the data into a new SPSS data file...
Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is...
Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is curious about the effects of a town hall meeting on people’s intentions to support a state proposition that would legalize gambling. He interviews people as they leave and asks them whether their opinion about the proposition has changed as a result of the meeting. He records these frequencies in the table below. Using this table, enter the data into a new SPSS data file...
Research Scenario A A psychologist is interested in the relationship between color of food and appetite....
Research Scenario A A psychologist is interested in the relationship between color of food and appetite. To explore this relationship, the researcher bakes small cookies with icing of one of three different colors (green, red, or blue). The researcher offers cookies to subjects while they are performing a boring task. Each subject is run individually under the same conditions, except for the color of the icing on the cookies that are available. Six subjects are randomly assigned to each color....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT