Measurement, Scaling and Attitude Scales - PowerPoint PPT Presentation

1 / 34
About This Presentation
Title:

Measurement, Scaling and Attitude Scales

Description:

Process of assigning numbers or labels to things to represent quantities or ... 5. Thrifty:----:----:-Indulgent. 6. Pleasant:----:----:-Unpleasant ... – PowerPoint PPT presentation

Number of Views:2614
Avg rating:3.0/5.0
Slides: 35
Provided by: stephen342
Category:

less

Transcript and Presenter's Notes

Title: Measurement, Scaling and Attitude Scales


1
Chapter 9 10
  • Measurement, Scaling and Attitude Scales

2
Topics
  • Concept of measurement and scaling
  • Types scales primary scales
  • Approaches to scaling
  • comparative scaling techniques
  • noncomparative techniques
  • Validity and reliability

3
Measurement and Scaling definitions
  • Measurement
  • Process of assigning numbers or labels to things
    to represent quantities or qualities of
    attributes according to some rule.
  • Rule
  • A guide for making the assignment.
  • Scaling
  • Identification of the symbols or numbers to be
    assigned by a rule to the individuals (or their
    behaviors or attitudes) to whom the scale is
    applied.

4
Measurement and Scaling definitions (revised)
  • Measurement
  • the process of assigning categories (e.g.,
    numbers) to concepts using some rule
  • Rule
  • the method of assignment
  • Scaling
  • the creation of the categories (e.g., the
    underlying continuum) used in measurement
  • Scale the continuum

5
Concepts and Constructs
  • Concept
  • an abstract idea
  • e.g., day, month, year
  • Construct
  • a higher level abstraction of an ideahigher
    level concepts
  • e.g., time

6
Types of Measurement Scales (1)
  • Nominal Scales
  • Scales that partition data into mutually
    exclusive and collectively exhaustive categories.
  • Ordinal Scales
  • Nominal scales that reflect order.

7
Types of Measurement Scales (2)
  • Interval Scales
  • Ordinal scales with equal intervals between
    points
  • may include an arbitrary zero point.
  • Ratio Scales
  • Interval scales with a meaningful zero point so
    that magnitudes can be compared arithmetically.

8
What Type of Scale?
9
Can usually categorize scale as
  • Discrete (categorical)
  • nominal (classification) or
  • ordinal
  • Metric (continuous)--amount of something
  • interval
  • ratio

10
Types of Scale Representations
  • Graphic Rating Scales
  • Graphic continua anchored by two extremes
  • Itemized Rating Scales
  • Scales in which the respondent selects an answer
    from a limited number of ordered categories.

11
Types of Attitude Scales (1)
  • Comparative Scales
  • require comparison of one object, concept, or
    person against another.
  • Rank-Order Scales
  • requires comparing one item with another or a
    group of items against each other and ranking
    them.
  • Pared Comparison
  • require picking one of two objects in a set based
    on some stated criteria.

12
(No Transcript)
13
(No Transcript)
14
Types of Attitude Scales (2)
  • Comparative scales (continued)
  • Q-Sorting
  • form or rank-ordering using card sorts and
    assumed distributions .
  • Constant Sum Scales
  • Attributes based on their relative importance to
    the person

15
Constant sum scale
16
Types of Attitude Scales (3)
  • Non-comparative scales
  • scales requiring independent judgments
  • Likert Scale
  • requires specifying a level of agreement or
    disagreement with statements about a referent
  • Semantic Differential Scale
  • require rating in terms of a series of bipolar
    adjectives

17
Likert scale
Cal Poly is a great university for business majors
18
T101 RIP 9.2 A Semantic Differential Scale for
Measuring Self Concepts, Person Concepts, and
Product Concepts
1. Rugged----------------------
------Delicate 2. Excitable--------
--------------------Calm 3.
Uncomfortable----------------------------C
omfortable 4. Dominating---------------
-------------Submissive 5.
Thrifty----------------------------Indulge
nt 6. Pleasant-------------------
---------Unpleasant 7. Contemporary--------
--------------------Noncontemporary 8.
Organized----------------------------U
norganized 9. Rational------------
----------------Emotional 10.
Youthful----------------------------Mature
11. Formal--------------------
--------Informal 12.
Orthodox----------------------------Libera
l 13. Complex---------------------
-------Simple 14. Colorless---------
-------------------Colorful 15.
Modest----------------------------Vain
19
Types of Attitude Scales (4)
  • Non-comparative scales (continued)
  • Stapel scale
  • An adaptation of semantic differential--requires
    rating how close and in what direction an
    adjective fits a concept

20
Stapel Scale
5 4 3 2 1 Friendly -1 -2 -3 -4 -5
21
True Score Model
  • Xo Xt Xs Xr
  • Xo Observed Score
  • Xt True Score
  • Xs Systematic Error
  • Xr Random Error

22
Types of Measurement Error
  • Systematic Error
  • Error that results in a constant bias in the
    measurements.
  • Random Error
  • Error that affects measurement in a transient,
    inconsistent manner.

23
Sources of Measurement Differences
  • Accurate data implies accurate measurement, or M
    A, where M refers to measurement and A stands
    for complete accuracy.
  • Rarely found in market research
  • Typically
  • M A E
  • where E errors

24
Reliability Validity
  • Reliability
  • Degree to which measures are free from random
    error and, therefore, provide consistent data
  • Validity
  • Extent to which a measurement instrument actually
    measures the attribute it was intended to measure

25
Reliability Measures
  • Test-retest give same test at different times to
    same people
  • Alternative forms develop different but
    equivalent forms--administer at different times
  • Internal consistency
  • split-half physically divide
  • Coefficient alpha average of all possible
    split-half reliability coefficients

26
Reliability Analysis (3)
27
College Drinking DataParty Animal scale
28
Reliability Analysis (2)
R E L I A B I L I T Y A N A L Y S I S - S
C A L E (A L P H A) Item-total Statistics
Scale Scale Corrected
Mean Variance Item-
Alpha if Item if
Item Total if Item
Deleted Deleted Correlation
Deleted ANIMAL 12.8333 24.5396
.5444 .6411 PARENTS 12.6882
26.8320 .2106 .7055 YOURSELF
12.7581 24.9952 .6169
.6402 NIGHTS 13.4194 23.0448
.6440 .6116 HOWMANY 10.4892
10.9864 .5806 .7276 REMEMBER
12.9194 22.8637 .5735
.6197 Reliability Coefficients N of Cases
186.0 N of Items 6 Alpha
.6924
29
Reliability Analysis (3)
R E L I A B I L I T Y A N A L Y S I S - S
C A L E (A L P H A) Item-total Statistics
Scale Scale Corrected
Mean Variance Item-
Alpha if Item if Item
Total if Item
Deleted Deleted Correlation
Deleted ANIMAL 8.3011 7.8224
.4768 .6856 PARENTS 8.1559
8.8242 .1812 .7991 YOURSELF
8.2258 7.7325 .6540
.6367 NIGHTS 8.8871 6.6737
.6537 .6110 REMEMBER 8.3871
6.4980 .5818
.6408 Reliability Coefficients N of Cases
186.0 N of Items 5 Alpha
.7276
30
Reliability Analysis (3)
R E L I A B I L I T Y A N A L Y S I S - S
C A L E (A L P H A) Item-total Statistics
Scale Scale Corrected
Mean Variance Item-
Alpha if Item if
Item Total if Item
Deleted Deleted Correlation
Deleted ANIMAL 5.9677 5.6963
.5502 .7773 YOURSELF 5.8925
5.8262 .6821 .7318 NIGHTS
6.5538 4.9620 .6558
.7262 REMEMBER 6.0538 4.6998
.6081 .7598 Reliability
Coefficients N of Cases 186.0
N of Items 4 Alpha .7991
31
Validity
  • degree too which the observed score measures
    true score--i.e., true difference between objects
    for characteristic being measured
  • therefore, reflects absence of total error (Xs
    and Xr)
  • essential to generalizability

32
Types of Validity
  • Content (face) validity does measure appear to
    measure what is intended
  • Criterion validity does measure behave as
    expected in relation to other measures
  • Convergent Validity
  • Divergent Validity

33
Illustrations of Possible Reliability and
Validity Relationship
Situation 1
Situation 3
Situation 2
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
Neither reliable nor Valid
Highly reliable but not valid
Highly reliable and valid
34
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com