PS 390
Tests & Measurements
3.0 Credits
Midterm Exam Review (Qns & Ans)
2025
©2025
,1. Question:
In classical test theory, the observed score is defined as the sum
of which two components?
- a. True score and measurement error
- b. Reliability and validity
- c. Variance and bias
- d. Score consistency and accuracy
ANS:
a. True score and measurement error
Rationale:
Classical Test Theory posits that an individual's observed test
score (X) is composed of their true score (T) plus an error
component (E): X = T + E.
2. Question:
Which statistic is most commonly used to assess internal
consistency reliability in psychological tests?
- a. Pearson’s r
- b. Cronbach’s alpha
- c. Cohen’s kappa
- d. Spearman’s rho
ANS:
b. Cronbach’s alpha
Rationale:
Cronbach’s alpha measures the degree to which items on a test
consistently measure the same construct and is a standard index of
internal consistency reliability.
3. Question:
The b-parameter in Item Response Theory (IRT) represents:
- a. The discrimination power of an item
- b. The difficulty of an item
- c. The guessing probability of an item
- d. The reliability coefficient of the test
ANS:
©2025
, b. The difficulty of an item
Rationale:
In IRT, the b-parameter indicates how difficult an item is; higher
values signify that an item requires greater ability to ANS correctly.
4. Question:
Which type of validity assesses whether a test appears effective
in terms of its content and intended purpose, based on subjective
judgment?
- a. Construct validity
- b. Face validity
- c. Criterion-related validity
- d. Content validity
ANS:
b. Face validity
Rationale:
Face validity refers to the degree to which a test appears to
measure what it is meant to measure, based on superficial
inspection rather than empirical evidence.
5. Question:
In the context of factor analysis as used in test construction, an
eigenvalue represents:
- a. The total variance explained by a factor
- b. The loading of an individual item
- c. The shared variance between two items
- d. The error variance of the measurement
ANS:
a. The total variance explained by a factor
Rationale:
In factor analysis, an eigenvalue quantifies the amount of
variance in the observed variables that is accounted for by a given
factor.
6. Question:
Which method is typically used to adjust significance levels when
©2025
Tests & Measurements
3.0 Credits
Midterm Exam Review (Qns & Ans)
2025
©2025
,1. Question:
In classical test theory, the observed score is defined as the sum
of which two components?
- a. True score and measurement error
- b. Reliability and validity
- c. Variance and bias
- d. Score consistency and accuracy
ANS:
a. True score and measurement error
Rationale:
Classical Test Theory posits that an individual's observed test
score (X) is composed of their true score (T) plus an error
component (E): X = T + E.
2. Question:
Which statistic is most commonly used to assess internal
consistency reliability in psychological tests?
- a. Pearson’s r
- b. Cronbach’s alpha
- c. Cohen’s kappa
- d. Spearman’s rho
ANS:
b. Cronbach’s alpha
Rationale:
Cronbach’s alpha measures the degree to which items on a test
consistently measure the same construct and is a standard index of
internal consistency reliability.
3. Question:
The b-parameter in Item Response Theory (IRT) represents:
- a. The discrimination power of an item
- b. The difficulty of an item
- c. The guessing probability of an item
- d. The reliability coefficient of the test
ANS:
©2025
, b. The difficulty of an item
Rationale:
In IRT, the b-parameter indicates how difficult an item is; higher
values signify that an item requires greater ability to ANS correctly.
4. Question:
Which type of validity assesses whether a test appears effective
in terms of its content and intended purpose, based on subjective
judgment?
- a. Construct validity
- b. Face validity
- c. Criterion-related validity
- d. Content validity
ANS:
b. Face validity
Rationale:
Face validity refers to the degree to which a test appears to
measure what it is meant to measure, based on superficial
inspection rather than empirical evidence.
5. Question:
In the context of factor analysis as used in test construction, an
eigenvalue represents:
- a. The total variance explained by a factor
- b. The loading of an individual item
- c. The shared variance between two items
- d. The error variance of the measurement
ANS:
a. The total variance explained by a factor
Rationale:
In factor analysis, an eigenvalue quantifies the amount of
variance in the observed variables that is accounted for by a given
factor.
6. Question:
Which method is typically used to adjust significance levels when
©2025
