Three Pedagogical Examples
To
illustrate the points in this section of the chapter, we have three
example data sets that are available from the book website and will
be used throughout the book. A quick summary of the data sets is presented
in Example data sets. A complete
summary of the items by instrument as well as source data source details
are presented at the end of this chapter.
|
Example
|
Sample
|
Items/Scales
|
Example Items
|
|---|---|---|---|
|
1. Engineering items
|
372 undergraduate students
from a study on engineering majors at an eastern university.
|
14 items and 2 scales:
engineering problem-solving (8 items), interest in engineering (6
items)
|
How well did you feel
prepared for defining what the problem really is?
Engineering fascinates
me.
|
|
2. Marsh Self-Description
Questionnaire (SDQ)
|
15,661 10th graders
from the National Education Longitudinal Study of 1988.
|
13 items and 3 scales:
parents (5 items), English (4 items), mathematics (4 items)
|
My parents treat me
fairly.
I get good marks in
English.
I do badly in tests
of mathematics.
|
|
3. Geriatric Depression
Scale
|
479 older adults from
the Long Beach Longitudinal Survey.
|
30 items in a scale
without a clear factor structure
|
Do you often get bored?
Are you hopeful about
the future?
|
It is common wisdom
that extraction techniques tend to yield similar results. Let us examine
this assertion to see whether it holds across our samples.
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