Research Methods and Design I – Short Assignment #7 – Crazy Correlations This in
ID: 3449701 • Letter: R
Question
Research Methods and Design I – Short Assignment #7 – Crazy Correlations
This individual assignment is related to your Chapter 5 (Salkind) material.
Below is a scatterplot between two variables – “Alcohol Consumption” and “Academic Performance.” Fill in the data table (Participant #1 through #20)! I’ll give you the academic performance score, so just make sure to find the corresponding alcohol consumption score using the scores on the X-axis of the chart below.
Subject #
Academic Performance
Alcohol Consumption
1
3.80
2
3.90
3
4.00
4
3.65
5
3.50
6
3.20
7
4.00
8
3.60
9
2.70
10
3.70
11
3.50
12
3.30
13
3.60
14
3.10
15
3.00
16
3.30
17
3.10
18
3.70
19
2.80
20
2.60
2). Does there appear to be a correlation between these two variables? If yes, is it a direct correlation (positive) or indirect correlation (negative)?
3). Calculate the specific correlation coefficient for this data. What does r =
4). What are three possible explanations for this correlation? (Note – These can include “third variable” explanations)
5) ). Now design an experimental study to investigate these two variables. What is your hypothesis? What type of hypotheses does the experimental method allow you to test that the correlational method does not? (Note: You can disregard ethical limitations here! Just design an experimental study rather than a purely correlational study). For the study you design, what is your independent variable? What is your dependent variable? How did you operationally define your variables here?
Subject #
Academic Performance
Alcohol Consumption
1
3.80
02
3.90
03
4.00
14
3.65
15
3.50
26
3.20
27
4.00
38
3.60
39
2.70
310
3.70
411
3.50
412
3.30
413
3.60
514
3.10
615
3.00
616
3.30
717
3.10
718
3.70
819
2.80
820
2.60
9Explanation / Answer
2. There exists an indirect or negative correlation between academic performance and alcohol consumption.
3. The value of r = -0.62
4. The three explanations for this correlation are:
5. The hypotheses are:
The variables:
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