For this assessment, you will develop an 8–14 slide PowerPoint presentation with thorough speaker's notes designed for a hypothetical in-service session related to the improvement plan you developed in Assessment 2.

PSYC3700 Week 8 Assignment For this assignment you will use the Week_08_Assignment_Data.csv file, which can be found on the Week 8 Assignment page in Canvas.

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PSYC3700 Week 8 Assignment

For this assignment you will use the Week_08_Assignment_Data.csv file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

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PSYC3700 Week 8 Assignment

For this assignment you will use the Week_08_Assignment_Data.csv file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

The dataset includes the following variables:

  • id: A unique nominal-level identification number assigned to each student
  • quiz_score: Score on a quiz measuring knowledge of data visualization
  • self_efficacy: Composite score on a measure of self-efficacy as it relates to data visualization
Criteria:
  • Construct a scatterplot in JASP
  • Construct a plot of residuals versus predicted values in JASP
  • Construct a graph in JASP that can be used to evaluate the normality of residuals
  • Evaluate graphs to determine if the assumptions of simple linear regression have been met
  • Construct a simple linear regression model using JASP
  • Interpret the statistical significance of a simple linear regression model
  • Write one sentence in APA style summarizing the results of the simple linear regression model
In JASP, construct a scatterplot with self_efficacy on the x-axis and quiz_score on the y-axis.
[Include a screenshot of your scatterplot here]
Construct a plot of residuals versus predicted values for a regression model that uses self_efficacy to predict quiz_score.
[Include a screenshot of your graph here]
Construct a histogram or QQ plot of residuals for a regression model that uses self_efficacy to predict quiz_score.
[Include a screenshot of your graph here]
Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used
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to check each assumption and clearly describe what you looked for in that graph.
Linearity –

Independence of errors –

Normality of residuals –

Equal error variances –
Use JASP to construct a simple linear regression model that uses self_efficacy to predict quiz_score.
[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]
Is self_efficacy a statistically significant predictor of quiz_score? Explain how you determined this.
 
Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (t or F), degrees of freedom, p value, R2 value.
 
Overview

For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

Preparation

Before you begin this assignment, complete the following:

Instructions

Complete and submit the Week 8 Assignment worksheet.

Competencies Measured

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

  • Competency 1: Communicate research findings using data visualizations.
    • Evaluate graphs to determine if the assumptions of simple linear regression have been met.
  • Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.
    • Interpret the statistical significance of a simple linear regression model.
  • Competency 3: Conduct statistical analyses to address research questions in the social sciences.
    • Construct a scatterplot in JASP.
    • Construct a plot of residuals versus predicted values in JASP.
    • Construct a graph in JASP that can be used to evaluate the normality of residuals.
    • Construct a simple linear regression model using JASP.
  • Competency 7: Explain the results of statistical analyses in common language.
    • Write one sentence in APA style summarizing the results of the simple linear regression model.

Related; Week 6 Activity – Gang Recruitment Dialogue Worksheet

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