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Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

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Scale Reliability & Validity

Navigation   » List of Schools  »  California State University, Northridge  »  Psychology  »  Psychology 321 – Psychology Research Method  »  Spring 2022  »  Scale Reliability & Validity

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Below are the questions for the exam with the choices of answers:

Question #1
Professor Hubert J. Farnsworth assesses whether his new stress scale is related to future stress.
A  Predictive validity
B  Face validity
C  Convergent validity
D  Discriminant validity
Question #2
Dr. Alphonse Mephisto assesses whether his new stress scale seems like it is measuring stress by asking people in South Park what they think about the scale.
A  Face validity
B  Concurrent validity
C  Discriminant validity
D  Convergent validity
Question #3
Professor John Nerdelbaum Frink, Jr assesses whether his new stress scale correlates with rumination, anxiety, depression, and quality of life (all variables that should be related to stress)
A  Face validity
B  Convergent validity
C  Face validity
D  Discriminant validity
Question #4
Dr. Nefario assesses whether his new stress scale correlates highly with a well-established stress scale.
A  Discriminant validity
B  Concurrent validity
C  Face validity
D  Convergent validity
Question #5
Measures how correlated a scale is to another scale that is supposedly measuring the same underlying construct.
A  Scaling
B  Predictive validity
C  Internal consistency reliability
D  Concurrent validity
E  Predictive validity
Question #6
Measures whether a measurement instrument seems to be measuring the underlying construct to people beyond the researchers.
A  Convergent validity
B  Face validity
C  Construct validity
D  Interrater / Interobserver reliability
E  Content validity
Question #7
Measures how stable a score on a scale is over time.
A  Convergent validity
B  Discriminant validity
C  Test-retest reliability
D  Scaling
E  Interrater / Interobserver reliability
Question #8
A measure of how well a measurement instrument assesses an underlying construct
A  Test-retest reliability
B  Concurrent validity
C  Construct validity
D  Face validity
E  Content validity
Question #9
Measures consistency of agreement between multiple raters on a phenomenon.
A  Discriminant validity
B  Scaling
C  Internal consistency reliability
D  Interrater / Interobserver reliability
E  Convergent validity
Question #10
The art of constructing an instrument to measure and connect abstract constructs to measurable items.
A  Scaling
B  Test-retest reliability
C  Predictive validity
D  Internal consistency reliability
E  Construct validity
Question #11
Measures whether theoretically related are significantly correlated
A  Construct validity
B  Test-retest reliability
C  Interrater / Interobserver reliability
D  Convergent validity
E  Predictive validity
Question #12
Assesses the degree that measures that should not be related are not actually related.
A  Scaling
B  Discriminant validity
C  Construct validity
D  Interrater / Interobserver reliability
E  Convergent validity
Question #13
Measures how much the items in a scale relate to each other.
A  Predictive validity
B  Test-retest reliability
C  Convergent validity
D  Internal consistency reliability
E  Construct validity
Question #14
Which of the following is NOT true?
A  Content validity assesses how well the items represent the entire universe of items from which they are drawn
B  All these are true.
C  Construct validity is the most rigorous validity test
D  Expert opinion is often used to establish content validity
E  Because face validity is so basic, it can be skipped.
Question #15
Which of the following is NOT true?
A  All these are true.
B  An omega coefficient is probably better with ordinal level data than a Cronbach’s alpha.
C  A parallel form reliability assesses whether two different scales of the same construct are related to each other.
D  A split-halves reliability assesses whether scores on half the items relate to scores on the other half of the items.
E  A Kuder-Richardson reliability is designed for scales using dichotomous items.
Question #16
Which of the following is NOT true about Cronbach’s alpha (one form of internal consistency reliability)?
A  Cronbach’s alphas are often used for Likert-type scales.
B  For standardized test scores, a Cronbach’s alpha of .90 or greater is recommended.
C  For an exploratory study, a Cronbach’s alpha above .70 is considered acceptable.
D  All these are true.
E  A Cronbach’s alpha score is generally lower than the actual reliability, thus, it is considered a conservative estimate.
Question #17
Which of the following is NOT true about Cronbach’s alpha (one form of internal consistency reliability)?
A  Cronbach’s alpha is the most popular measure of internal consistency.
B  For widely used scales, the Cronbach’s alpha should .80 or above.
C  Cronbach’s alphas range from 0-1, with scores closer to zero indicating lower reliability.
D  All these are true.
E  In general, more items in a scale results in a higher Cronbach’s alpha.
Question #18
Which of the following is NOT true about reliability?
A  Unreliable measures produce results that are meaningless.
B  Reliability is not estimated, it is measured.
C  The observed reliability score is computed from a true score plus error score.
D  All these are true.
E  There are multiple sources of error
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Manush
Fresh Graduate
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