Which measurement levels are defined for the variables created in SPSS?

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Variables in SPSS

Question A

Which measurement levels are defined for the variables created in SPSS? Only one option is correct

☐Text or numbers

☐Nominal, ordinal, interval and ratio

☐Categorical and continuous

☐Nominal, ordinal and scale

 

SPSS task 1: results

Question B

What was the correlation coefficient that described the relationship between the number of lectures one has attended and grades?

Now it's your turn to conduct a Pearson's correlation analysis! The data set you will start from is depicted here. First you have to create the variables in the "variable view", and then you have to plot the numbers into the "data view" tab. The data is fictitious and is about how many lectures you have attended (from 0 to 10), and what grades you have received in the subject (from 1-6). Download dataset: 

SPSSdatasett ANOVA og uavhengig t-test

 

☐0.57

☐0.23

☐0.81

☐0.41

☐0.98

☐0.87

☐0.33

☐0.39

Question C

Was the correlation statistically significant?

☐Yes 

☐No

 

SPSS task: Dependent t-test

Question D

Can we claim that the mood changes statistically significantly in winter, compared to summer?

☐Yes

☐no

Question E

If we were to report the results in APA style, we would have had to state the t-value (t), the degrees of freedom ( df ) and the p - value ( sig. ( 2-tailed)). Mark the option that best matches your results

☐t= 5.44, df = 19, p= 0.004

☐t=0.435, df = 19, p= 0.669

☐t=0.000, df =19, p= 1.234

☐t=6.543, df = 20, p= 0.032

☐t=0.9, df =19, p= 0.433

☐t= 19.324, df =44, p= 0.034

☐t=7.984, df =22, p= 0.002

☐t= 2.454, df = 22, p= 0.04

 

SPSS Problem 2: t-test

Question F

What was the average grade for 2nd grade?

Time to run a t-test! We continue to play with the data set about lectures and grades, but as you can see we have now added a grouping variable at nominal level, as well as the ID number (the ID number is not really important for the analysis, but fine for the sake of overview).

The first thing you need to do is add the new variable "Year step". Remember to define this variable as nominal, and also remember to mark the values 1, 2 and 3 as first class, second class and third class. We went through how to do this in the first video on how to create variables and datasets in SPSS. Your task is to see if there is a significant group difference between 1st and 2nd class in relation to the grades they have received (we care not about 3rd grade yet!). Conduct an independent t-test to see if 1st grade has statistically significantly different grades compared to 2nd grade. Note the p-value and the average grade for 1st and 2nd class.

☐5.0

☐4.4

☐3.6

☐4.2

☐4.1

☐2.2

☐3.1

☐5.4

Question G

Based on Levene's test, can we conclude that the groups have approximately equal variance?

☐no

☐Yes

 

 

Question H

Is there a statistically significant difference between the average grade for 1st grade compared to 2nd grade?

☐Yes

☐no

Question I

What was the p-value?

☐0.001

☐0.965

☐0.186

☐0.002

☐0.081

☐0.235

☐0.041

☐0.00

 

SPSS Problem 3: one-way ANOVA

 

This time you will carry out a one-way ANOVA in SPSS. You have already prepared the data set - we use the data on grades and attendance at lectures. Since we have three groups here - first class, second class and third class - ANOVA is fine. The question is: is there a significant difference in grades between the groups? (Don't worry about the lecture variable) Set up a one-way ANOVA with the variable Year level as grouping variable (factor). Remember to check the box for variance test under "options", as well as Bonferroni-corrected post-hoc analyzes under "Post Hoc...".

 

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