Instructions

need .R or RStudio needed for this. found at their website here:

https://posit.co/download/rstudio-desktop/

Using the file OccupationChoice.csv and the One-way MANOVA HBAT_200.docx file. In the Word document I've changed to blue text all the variable names and data set references that will need to be changed. Follow the instructions below, change the script as needed, and then answer the questions on the assignment.

this is the .R file - One-way MANOVA HBAT_200.R

https://drive.google.com/file/d/18V2iL1DvtFCAZL3ymGbESkbFIorkwk8H/view?usp=sharing

this is the One-way MANOVA HBAT_200.docx file.

https://docs.google.com/document/d/1Kr5gpd6o0Ybfc7rFsLOHTS7vzIOHvWPL/edit?usp=sharing&ouid=107429429411018927337&rtpof=true&sd=true

This is the OccupationChoice.csvfile.

https://drive.google.com/file/d/1Kuzkc9eBYY9NhnUZg-0ZaKvnK_J4ecRe/view?usp=sharing

Open One-way MANOVA HBAT_200.R in RStudio and rename it to a different file

Change the line that reads in the data to the following and then enter the lines after:

#

# Import Occupation Choice data----

OS <- read.csv(file.choose())

OS$Occupation[OS$Occupation==1] <- "Sales"

OS$Occupation[OS$Occupation==2] <- "Research"

OS$Occupation[OS$Occupation==3] <- "Lawyer"

OS$Occupation[OS$Occupation==4] <- "PowerDistrib"

Edit the rest of the file to change the analysis from what we walked through in the main class video to accomplish the following:

Conduct a 1-way MANOVA where you test for differences on EmotionIntell (Emotional Intelligence where the higher the score the greater the emotional intelligence) and IntroExtScre (Introversion/Extroversion Score, where the higher the score the more extroverted) across 4 Occupations (Sales, Research, Lawyer, PowerDistrib).

In addition to changing data set names, and variable references, you will need to make changes to lines 70 and 72. In both of those lines there is a reference to the dep_matrix (the matrix of dependent variables created earlier) that reads: Dep_matrix[ ,1:3] which tells R to take all rows of Dep_matrix and columns 1-3. In fact, there need not be a reference to the columns since that is all the columns in the matrix but this code would allow you to examine just a subset of the columns, if you so wished. For this assignment, either change it to 1:2, since there are only 2 DVs or delete the brackets and numbers all together, and R will simply use the whole matrix (which, again, if fine in this assignment).

You will see that the code finds 3 outliers; these are, in fact, pretty minor and I do not want you to delete them; conduct your analysis including all 109 observations in the data.

Also, the data is large enough to be robust to deviations from normality; in other words, do not be concerned about any deviations from normality you find.

Skip over lines 75, 76, and 77. If you do wish to look at the descriptive statistics for each group you will need to add two more lines like 76/77 since this assignment has 4 groups formed by the factor, not 2 as in the HBAT example.

End after any required univariate follow-up testing.

Also bear in mind that the HBAT example involved 3 DVs not 2 as in this assignment so as you adapt the script file to this assignment, you will not need 3 chunks of code to conduct univariate analysis as in the original file, only 2. And since there are only 2 DVs, the specified alpha level for the follow-up tests also needs to be adjusted (set it equal to 1-(0.05/(# of DVs being evaluated in total))

Answer the 8 questions below:

Question 1

According to the Box's M-test for Homogeneity of Covariance Matrices, do we have equality of variance/covariances across our groups?

1. No
2. Yes

Question 2

In the MANOVA, what is the p-value for the test of equality of means across the Occupation groups? The p-value is _________, rounding to 2 decimal places with no leading 0 (in other words, expresses as .XX)

Question 3

The p-value associated with the Occupation factor means that we...

1. Reject the null hypothesis of equal means across Occupation groups
2. Fail to reject the null hypothesis of equal means across Occupation groups

Question 4

According to the univariate ANOVAs the p-value of Occupation for EmotionIntell is ________ and for IntroExtScre is __________, rounding to 2 decimal places with no leading 0 (in other words, expresses as .XX)

Question 5

Based on the univariate ANOVAs for each DV we...

1. Reject the null hypothesis for both EmotionIntell and for IntroExtScre
2. Fail to reject the null hypothesis for either EmotionIntell and for IntroExtScre
3. Reject the null hypothesis for EmotionIntell and fail to reject the null hypothesis for IntroExtScre
4. Fail to reject the null hypothesis for EmotionIntell and reject the null hypothesis for IntroExtScre

Question 6

We must do follow-up testing for the DV EmotionIntell...

1. True
2. False

Question 7

We must do follow-up testing for the DV IntroExtScre...

1. True
2. False

Question 8

What significant differences did you find in the follow-up comparisons?

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