Instruments Used in Examples

Table 2.8 Example 1: Engineering scales
Variable Name
Item
Problem-solving items. How well did you feel prepared for:
EngProbSolv1
Defining what the problem really is
EngProbSolv2
Searching for and collecting information needed to solve the problem
EngProbSolv3
Thinking up potential solutions to the problem
EngProbSolv4
Detailing how to implement the solution to the problem
EngProbSolv5
Assessing and passing judgment on a possible or planned solution to the problem
EngProbSolv6
Comparing and contrasting two solutions to the problem on a particular dimension such as cost
EngProbSolv7
Selecting one idea or solution to the problem from among those considered
EngProbSolv8
Communicating elements of the solution in sketches, diagrams, lists, and written or oral reports
Interest in engineering:
INTERESTeng1
I find many topics in engineering to be interesting.
INTERESTeng2
Solving engineering problems is interesting to me.
INTERESTeng3
Engineering fascinates me.
INTERESTeng4
I am interested in solving engineering problems.
INTERESTeng5
Learning new topics in engineering is interesting to me.
INTERESTeng6
I find engineering intellectually stimulating.
Table 2.9 Example 2: Marsh self-description questionnaire (SDQ)
Variable Name
Item
Parents:
Par1
My parents treat me fairly.
Par2
I do not like my parents very much.
Par3
I get along well with my parents.
Par4
My parents are usually unhappy or disappointed with what I do.
Par5
My parents understand me.
English:
Eng1
I learn things quickly in English classes.
Eng2
English is one of my best subjects.
Eng3
I get good marks in English.
Eng4
I'm hopeless in English classes.
Mathematics:
Math1
Mathematics is one of my best subjects.
Math2
I have always done well in mathematics.
Math3
I get good marks in mathematics.
Math4
I do badly in tests of mathematics.
Table 2.10 Example 3: Geriatric depression scale
Variable Name
Item
GDS01
Are you basically satisfied with your life?
GDS02
Have you dropped many of your activities and interests?
GDS03
Do you feel that your life is empty?
GDS04
Do you often get bored?
GDS05
Are you hopeful about the future?
GDS06
Are you bothered by thoughts you can’t get out of your head?
GDS07
Are you in good spirits most of the time?
GDS08
Are you afraid that something bad is going to happen to you?
GDS09
Do you feel happy most of the time?
GDS10
Do you often feel helpless?
GDS11
Do you often get restless and fidgety?
GDS12
Do you prefer to stay at home, rather than going out and doing new things?
GDS13
Do you frequently worry about the future?
GDS14
Do you feel you have more problems with memory than most?
GDS15
Do you think it is wonderful to be alive now?
GDS16
Do you often feel downhearted and blue?
GDS17
Do you feel pretty worthless the way you are now?
GDS18
Do you worry a lot about the past?
GDS19
Do you find life very exciting?
GDS20
Is it hard for you to get started on new projects?
GDS21
Do you feel full of energy?
GDS22
Do you feel that your situation is hopeless?
GDS23
Do you think that most people are better off than you are?
GDS24
Do you frequently get upset over little things?
GDS25
Do you frequently feel like crying?
GDS26
Do you have trouble concentrating?
GDS27
Do you enjoy getting up in the morning?
GDS28
Do you prefer to avoid social gatherings?
GDS29
Is it easy for you to make decisions?
GDS30
Is your mind as clear as it used to be?
The engineering data is used with permission of Dr. Marie Paretti. The data was drawn from a larger study supported by the National Science Foundation under Grant No. HRD# 0936704. Any opinions, findings, conclusions, and recommendations expressed in this book are those of the authors and do not necessarily reflect the views of the National Science Foundation.
The Marsh SDQ data was drawn from the National Center for Education Statistics study: National Education Longitudinal Study of 1988 (NELS:88). This data is in the public domain. More information can be found at: http://nces.ed.gov/surveys/nels88/.
The Geriatric Depression Survey data was drawn from the publicly available data from the Long Beach study. The citation for this data, residing at the ICPSR is: Zelinski, Elizabeth, and Robert Kennison. Long Beach Longitudinal Study. ICPSR26561-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2011-06-17.
More information about this study is available at: http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/26561/version/2. Opinions about this data, and the results of these analyses are solely ours, used for the pedagogical purpose of discussing best practices and techniques around exploratory factor analysis. They should be viewed as having no bearing on the authors of those original studies, the findings from those studies, or just about anything else. Furthermore, we did not apply any weights or compensate for design effects, thus rendering the results not useful for anything other than these examples.
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