Lab 6: Understanding Research Results
 Due Nov 22, 2015 by 11:59pm
 Points 20
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 File Types doc, docx, rtf, and pdf
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Lab 6
For this lab you will use the data set below.
Most of your labs have included a completed sample lab. This one does not, because to provide a sample would be to do the lab for you. Instead, I have tried to be very detailed and very specific about how to report your answers, and where feasible, examples are provided.
This lab requires you to analyze some results. You can use SPSS or Excel (Microsoft Office) to compute means and correlation coefficients. If you do not have access to either of those, you can calculate means and percentages with a basic calculator. To compute correlation coefficients, you can use the following website instead of Excel or SPSS: http://www.socscistatistics.com/tests/pearson/Default2.aspx
To use the website rather than SPSS or Excel, just enter one set of numbers  in order  in the box marked X and the other set in the box marked Y and click on the button that says "calculate R"
You are free to use any procedure or website you want so long as you come up with the correct answer...a set of numbers can only have one correlation coefficient, so it should not matter what program you use, SPSS, Excel, or the website provided above.
Data set
Age Sex Education IQ income marital status depressed weight Life satisfaction
24 F 16 117 46K S N 112 78
55 M 14 109 38K M Y 203 75
46 M 18 120 88K M N 170 85
38 F 18 115 67K D Y 123 52
29 F 16 118 52K S Y 145 60
32 M 16 112 60K S N 190 70
41 M 12 98 32K M N 170 60
29 F 12 102 31K S Y 130 48
48 F 14 108 45K M N 150 81
38 M 20 123 70K M N 165 80
41 M 16 112 59K D N 225 60
38 F 12 120 39K D Y 171 40
58 F 14 116 42K D N 145 50
35 M 12 107 22K M N 173 55
45 F 16 112 44K M Y 138 60
39 M 16 117 60K M N 174 82
The data set above describes data for 16 participants on 9 variables
The variables include participant age; sex (male = M or Female = F); education in years of education;
IQ score (IQ has a mean of 100 and is normally distributed in the population); annual income in thousands; marital status, S = single, M = married, D = divorced); if they have ever had a major depressive episode (Y = yes, N = no)weight in pounds; life satisfaction on zero – 100 scale where 0 = completely unsatisfied, 100 = completely satisfied and 50 = neither satisfied nor dissatisfied.
Your task is to describe some of the data and correlations, as well as identify areas for further study and identify and correct limitations
The Lab worksheet and questions are below:
1. Choose four of the variables in the data set for further description and analysis. For example, you might select age, education, IQ, and history of depression (and there are good reasons to select any four of them).
Make sure at least one of the variables you select is a nominal variable.
For each of the four variables you choose, name and describe each variable in terms of its percentage or mean and standard deviation. For example, variable 1 (record name of variable, age, sex, education, IQ, income, marital status, depressed, life satisfaction)): 25% A and 75% B, or variable 2: mean = xx.xx, standard deviation = xx.xx.
Depending on the type of variable, some should be reported as means (with standard deviations) and some as percentages.
Variable 1:
Variable 2:
Variable 3:
Variable 4:
2. For any two of the four variables, report how you would describe them graphically based on what your textbook would recommend given the type of variable,( e.g., pie chart, bar graph, histogram), and why you would report them that way vs some other way. You do not have to graph them. Just identify the type of graph that would be most appropriate for the two variables you choose.
Variable and graphic description 1:
Variable and graphic description 2:
3. From the four variables, select three pairs of variables that you think might be correlated, and report the correlation coefficient for each pair. You do not have to KNOW that they are correlated, but it should be reasonable for someone who has taken several psychology courses to think that they are. For example, we have no reason to think that age and IQ are correlated because IQ does not usually change as people age, however, IQ is likely to be correlated with some of the other variables. You can choose any method to compute correlation coefficients including using a basic calculator, Microsoft Excel, SPSS, or the following website: http://www.socscistatistics.com/tests/pearson/Default2.aspx (Links to an external site.)
1st pair of variables is (name the two variables):
Correlation coefficient =
2nd pair of variables is (name the two variables):
Correlation coefficient =
3rd pair of variables is (name the two variables)
Correlation coefficient =
4. Examine the correlations
Which two variables have the weakest correlation?
Which two variables have the strongest correlation?
Do any of them have a negative correlation? If yes, which one(s)
Which one of the correlations most surprised you, and why?
Rubric
Criteria  Ratings  Pts  

Question 1: four variables selected, correct format selected given whether variable is nominal or interval, values correct
threshold:
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Question 2: two variables described in terms of graph that makes sense given the nature of the variable
threshold:
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Question 3: Correlation values and directions correctly reported
threshold:
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Question 4: All 4 questions answered correctly (weakest, strongest and negative correlation, plus plausible answer for being surprised about any observed correlation)
threshold:
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Total Points:
20
out of 20
