Perform a layered chi-squared test using self-esteem and hair color as the main analyses, and locus of control for the layer.

Module 7 Assignment: Using SPSS to Calculate Non-Parametric Tests & Tests for Categorical Variables

Links to Instructor Youtube videos for reference:
Part 1 – https://youtu.be/CLqGBO5OjtI
Part 2 – https://youtu.be/K64Bo7WiT38

Link to Data Sets: https://wps.pearsoned.co.uk/ema_uk_he_mayers_statspss_1/239/61356/15707255.cw/index.html

Part 1: Use the data set ‘Sleep deprivation’

Run the following analyses:
Perform Friedman’s ANOVA and include all relevant descriptive statistics.
Run an additional test to examine the source of difference, if needed.
Calculate the effect size.

Create a research question based on the data set.

Create a null and alternative hypothesis.

Identify the variables and their attributes.

Describe the results of the tests you ran.

Copy and paste the results in this assignment.

Part 2: Use the data set ‘Hair colour’ to respond to the following prompts:

Using an appropriate test,
compare self-esteem and locus of control and calculate the odds ratio and variance for this outcome.
compare hair color and self-esteem and Calculate the odds ratio and variance for this outcome.
Perform a layered chi-squared test using self-esteem and hair color as the main analyses, and locus of control for the layer.

Identify the hypothesis and null hypothesis for the three analyses you performed.

Identify the variables and their attributes.

Present the statistical outcome.
Describe what the outcomes mean and whether you reject or fail to reject the null hypothesis.

Copy and paste a copy of the SPSS output to this assignment.

Perform a layered chi-squared test using self-esteem and hair color as the main analyses, and locus of control for the layer.