measurement of attitudes
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Measurement of Attitudes. Dr. K. A. Korb University of Jos. Overview. - PowerPoint PPT PresentationTRANSCRIPT
Measurement of Attitudes
Dr. K. A. KorbUniversity of Jos
Overview
A majority of Americans favor having Arabs, even those who are U.S. citizens, being subjected to separate, more intensive security procedures at airports. About half of Americans favor requiring Arabs, even those who are citizens of the United States, to carry special ID.
Gallup.org
Overview(Mike Frone) Please tell me if you would favor or oppose
each of the following as a means of preventing terrorist attacks in the United States. Requiring Arabs, including those who are U.S.
citizens, to undergo special, more intensive security checks before boarding airplanes in the U.S.
Requiring Arabs, including those who are U.S. citizens, to carry a special ID.
Problems Leading stem Double-barreled questions
Dr. K. A. KorbUniversity of Jos
Overview
Considerations in Measurement Types of Attitude Measurement
Explicit Likert Scale Interview
Implicit Implicit Association Test
Dr. K. A. KorbUniversity of Jos
Reliability: Consistency of results
Reliable Reliable Unreliable
Dr. K. A. KorbUniversity of Jos
Reliability Theory
Actual score on test = True score + Error True Score: Hypothetical actual score on
test The more reliable the test is, the less
error in measurement
Dr. K. A. KorbUniversity of Jos
Reliability: Sources of Error Error in Test Construction
Error in Item Sampling: Items measure more than one construct
Error in Test Administration Test environment Test-taker variables Examiner-related variables
Error in Test Scoring
Dr. K. A. KorbUniversity of Jos
Validity: Measuring what is supposed to be measured
Valid Invalid Invalid
Dr. K. A. KorbUniversity of Jos
Validity
Three types of validity necessary for all psychological tests: Construct validity: Measure the
appropriate psychological construct Criterion validity: Predict appropriate
outcomes Content validity: Adequate sample of
content
Dr. K. A. KorbUniversity of Jos
Construct Validity Definition: Appropriateness of inferences
drawn from test scores regarding an individual’s status of the psychological construct of interest
Two considerations: Construct underrepresentation Construct irrelevant variance
Dr. K. A. KorbUniversity of Jos
Construct Validity Construct underrepresentation: A
test does not measure all important aspects of the construct.
Construct-irrelevant variance: Test scores are affected by other unrelated processes
Dr. K. A. KorbUniversity of Jos
Sources of Construct Validity Evidence
Homogeneity: The test measures a single construct Evidence: Good reliability
Convergence: Test is related to other measures of the same construct and related constructs Evidence: Highly correlations with other
measures
Dr. K. A. KorbUniversity of Jos
Sources of Construct Validity Evidence
Theory: The test behaves according to theoretical propositions about the construct Evidence by changes in test scores
according to age: Scores on the measure should change by age as predicted by theory.
Evidence from treatments: Scores on the measure change as predicted by theory from a treatment between pretest and posttest.
Dr. K. A. KorbUniversity of Jos
Criterion Validity Definition: Correlation between the measure
and a criterion. Criterion: Other accepted measures of the construct
or measures of other constructs similar in nature. A criterion can consist of any standard with which
the test should be related Examples:
Behavior Judgments Other instruments related to attitudes
Dr. K. A. KorbUniversity of Jos
Criterion Validity
Three types: Convergent validity: High correlations
with measures of similar constructs taken at the same time.
Divergent validity: Low correlations with measures of different constructs taken at the same time.
Predictive validity: High correlation with a criterion in the future
Dr. K. A. KorbUniversity of Jos
Criterion Validity Example
Criterion Validity Evidence for Attitudes toward Coke
Correlation between Attitudes toward Coke and…
Attitude for Pepsi .83
Attitude for Mountain Dew .75
Attitude for Water .34
Attitude for Juice .24
High correlations with other minerals indicates good criterion validity.
Low correlations with unrelated beverages indicates good criterion validity.
Dr. K. A. KorbUniversity of Jos
Content Validity
Attitudes Toward Course:
Teacher
Content
Assignments
Exam
Definition: Sampling the entire domain of the construct
Attitudes Toward Course:
Teacher
Content
Assignments
Exam
Dr. K. A. KorbUniversity of Jos
Measuring Attitude Overview
Three Methods to Assess Attitudes Explicit (Self Report)
Questionnaire Interview
Implicit Behavioral Measures Physiological Response Reaction Time
Dr. K. A. KorbUniversity of Jos
Scaling of Attitudes Types of Scales
Semantic Differential Scales Reactions to stimulus on a bipolar scale
with opposite adjectives at the end Thurstone Scaling
Use expert judges to create an ordered list of attitudes toward a topic
Likert Scaling Evaluation of individual items according to
level of agreement or disagreement
Dr. K. A. KorbUniversity of Jos
Semantic Differential Scales
Tick your opinion of UniJos: Very Bad _:_:_:_:_:_:_ Very Good
Very Weak _:_:_:_:_:_:_ Very Strong
-3 0 +3
-3 0 +3
Dr. K. A. KorbUniversity of Jos
Thurstone Scale Tick if you agree with the item.
1. People with AIDS should be considered the lowest class of human beings.
2. People with AIDS must be kept apart in social affairs.
3. I am not interested in how people with AIDS rate socially.
4. A refusal to accept a person with AIDS is a prejudice which should be overcome.
5. I believe that people with AIDS deserve the same social privileges.
Dr. K. A. KorbUniversity of Jos
Likert Scaling Define the attitude to be measured Develop about 25 items thought to
measure the attitude Participants indicate the degree of agreement to
each item Single items work for very specific attitudes Multiple items have the best reliability and
validity for general attitudes (at least 10) Level of Measurement: 4, 5, 7, 10
Dr. K. A. KorbUniversity of Jos
Likert Scaling
ItemStrongly Agree
Agree Disagree Strongly Disagree
1. The class is beneficial.
1 2 3 4
2. The teacher is informative.
1 2 3 4
3. The assignments do NOT help me learn.
1 2 3 4
4. The classroom is comfortable.
1 2 3 4
Dr. K. A. KorbUniversity of Jos
Likert Scaling Factor Analyze the items to determine whether they
measure the attitude Factor Loading tells how well the item relates to the
overall score Interpret Factor Loadings as a correlation
Calculate the Reliability of the final items to establish internal consistency Coefficient Alpha > .70
Analyze Sum responses to each attitude construct separately Average responses to each attitude construct
separately
Dr. K. A. KorbUniversity of Jos
Likert Scaling
ItemFactor
Loading1. The class is beneficial. .96
2. The teacher is informative. .75
3. The assignments do NOT help me learn.
-.79
4. The classroom is comfortable. .34
Dr. K. A. KorbUniversity of Jos
Likert Scaling
Item Factor 1 Factor 21. The class is beneficial. .96 .222. The teacher is informative. .75 .393. The assignments do NOT help me learn.
-.79 -.10
4. The classroom is comfortable. .34 .785. The classroom is well lit. .17 .866. The classroom is too hot. -.24 -.73
Dr. K. A. KorbUniversity of Jos
Likert ScalingStrongly Agree
Agree Disagree Strongly Disagree
1. The class is beneficial.
1 2 3 4
2. The teacher is informative.
1 2 3 4
3. The assignments do NOT help me learn.
1 2 3 4
Summed Score = 2+3+1 = 6
Averaged Score = 2+3+1 = 6 6 3 = 2
Dr. K. A. KorbUniversity of Jos
Likert Scales Potential Problems
Acquiescence bias: Agree with statements as presented Solution: Develop equal numbers of positive
and negative items Reverse score negative items
Central tendency bias: Avoid extreme categories Strongly Agree, Strongly Disagree
Social desirability: Tendency to portray oneself in favorable light Solution: Bogus Pipeline
Dr. K. A. KorbUniversity of Jos
Acquiescence Bias
SA U SD1. 1 2 3 4 5 6 7
2. 1 2 3 4 5 6 7
3. 1 2 3 4 5 6 7
4. 1 2 3 4 5 6 7
5. 1 2 3 4 5 6 7
6. 1 2 3 4 5 6 7
7. 1 2 3 4 5 6 7
8. 1 2 3 4 5 6 7
9. 1 2 3 4 5 6 7
10. 1 2 3 4 5 6 7
Dr. K. A. KorbUniversity of Jos
Central Tendency Bias
SA U SD1. 1 2 3 4 5 6 7
2. 1 2 3 4 5 6 7
3. 1 2 3 4 5 6 7
4. 1 2 3 4 5 6 7
5. 1 2 3 4 5 6 7
6. 1 2 3 4 5 6 7
7. 1 2 3 4 5 6 7
8. 1 2 3 4 5 6 7
9. 1 2 3 4 5 6 7
10. 1 2 3 4 5 6 7
Dr. K. A. KorbUniversity of Jos
Social DesirabilityStrongly Agree
Agree Disagree Strongly Disagree
1. There have been times when I was quite jealous of others’ good fortune.
1 2 3 4
2. I never resent being asked to return a favor.
1 2 3 4
3. I have never intensely disliked anyone.
1 2 3 4
Dr. K. A. KorbUniversity of Jos
Interviews Define the purpose of the interview Select an interview format
Standardized Open-Ended Interview: Specific set of questions with open-ended response
Semi-structured: Structured questions followed by open-ended questions to probe deeper
Structured Interview: Participants select pre-determined responses
Dr. K. A. KorbUniversity of Jos
Standardized Open-Ended Interview
What issues do you think the Plateau State governor needs to spend more effort on?
How effective do you think the new road construction plans are?
How well do you think the public schools are being managed in Plateau State?
Dr. K. A. KorbUniversity of Jos
Semi-Structured Interview
What teacher has most influenced you? Why? She encouraged me to pursue my
dreams. How did she encourage you to pursue
your dreams?
Dr. K. A. KorbUniversity of Jos
Structured Interview How well do you think that Plateau State
governor compares to other Nigerian governors in providing funds for education? Better than most Nigerian governors Same as most Nigerian governors Worse than most Nigerian governors
How well do you think that Plateau State governor compares to other Nigerian governors in fixing the roads?
How well do you think that Plateau State governor compares to other Nigerian governors in providing jobs?
Dr. K. A. KorbUniversity of Jos
Interviews
Data Analysis Tally responses for Structured Interview Open-Ended questions require a
categorization system Cared for me Encouraged to excellence Knew the course material
Dr. K. A. KorbUniversity of Jos
Questionnaires vs. Interviews Questionnaire Advantages
Sample more participants Quicker Standardized Anonymous
Interview Advantages Probe deeper Adaptability Use with illiterate participants
Dr. K. A. KorbUniversity of Jos
Quality of Attitude Items(Trochim, 2006)
Is the question useful? Only ask questions that will be used for
analysis Are several questions needed?
Double-barreled question: Question has two parts Plateau State should give more money
to education and road upkeep. I do not like pounded yam because it
tastes slimy.
Dr. K. A. KorbUniversity of Jos
Quality of Attitude Items(Trochim, 2006)
Will all respondents have the needed information to answer the question? Knowledge Vocabulary
Does the question need to be more specific?
Is the question biased? Question leads to a particular response
Dr. K. A. KorbUniversity of Jos
Quality of Attitude Items(Trochim, 2006)
Will the respondent answer truthfully? Social Desirability Bias in Questioning
Can the question be misunderstood? Conclusion: Read each question as if
you were the respondent. How could a respondent misunderstand the question?
Dr. K. A. KorbUniversity of Jos
Implicit Measures Purpose: Measure unconscious
thoughts and feelings Assumptions
People may be unwilling to report their true attitudes
People may not know their attitudes Implicit Attitudes: Attitudes that
people are either unwilling or unable to report
Dr. K. A. KorbUniversity of Jos
Implicit Measures
Behavioral Measures Distance from another person
Physiological Measures Facial EMG: Measuring imperceptible
muscle movements in the face EEG: Brain wave patterns
Reaction Time Implicit Priming Procedure
Dr. K. A. KorbUniversity of Jos
Implicit Priming
Good Bad Male Female
Wonderful Awful Amos Martha
Pleasant Evil John Julie
Nice Wicked Barnabas Nancy
Lovely Terrible Joseph Sabina
Agreeable Poor Peter Anna
Dr. K. A. KorbUniversity of Jos
Implicit Priming
Good Bad
NiceAwfulPleasantLovely
Dr. K. A. KorbUniversity of Jos
Implicit Priming
GoodBoys
BadGirls
NiceMarthaPleasantJohn
Dr. K. A. KorbUniversity of Jos
Implicit Priming
GoodGirls
BadBoys
NiceMarthaPleasantJohn
Dr. K. A. KorbUniversity of Jos
Implicit Measures
Implicit Association Test https://implicit.harvard.edu/implicit/de
mo/selectatest.html Gender-Career Skin Tone Disability Weight Religion
Dr. K. A. KorbUniversity of Jos
Implicit Measures Race IAT Predicts:
Time spent speaking: .51 Smiling: .39 Social comments: .32
Potential Uses Research Diversity training
Misuses Decisions of placement
Dr. K. A. KorbUniversity of Jos
Explicit vs. Implicit Measures
Meta-analysis correlated attitudes to criterion measures Implicit measures were best predictors of
stereotyping and prejudice (r = .25 vs .13)
Explicit measures were best predictors for products and political preferences (r = .67 vs .41)
Dr. K. A. KorbUniversity of Jos
Choosing a Measure
Research Questions/Hypotheses Time and Resources Available Participants
Dr. K. A. KorbUniversity of Jos
Revision
What are the four major quality checks for measures?
How can attitudes be explicitly measured?
How can attitudes be implicitly measured
Dr. K. A. KorbUniversity of Jos