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t&m test 2
| Question | Answer |
|---|---|
| In psychological testing, validity refers to: | Whether a test measures what it claims to measure |
| A test cannot be valid unless it is also | Reliable |
| Which type of validity concerns how well test items represent the domain being measured? | Content validity |
| The Content Validity Ratio (CVR) involves | The number of judges who rate an item as essential |
| Criterion-related validity includes | Concurrent and predictive validity |
| Predictive validity is best demonstrated when | Test results forecast future outcomes |
| Concurrent validity is established when | Test scores correlate with an existing measure taken at the same time |
| The coefficient of determination equals | The square of the correlation coefficient (r²) |
| Face validity differs from other types because it | Reflects a subjective sense that a test looks relevant |
| Construct validity focuses on | Theoretical consistency between test behavior and the underlying trait |
| Criterion contamination occurs when | Predictor and criterion share overlapping content |
| One effective way to prevent criterion contamination is to | Gather independent criterion data |
| A multitrait–multimethod matrix is used primarily to evaluate | Construct validity |
| In a multitrait–multimethod matrix, low correlations are expected between | Different traits, different methods |
| Which is not a recommended way to reduce criterion contamination? | Using identical questions in both measures |
| A raw score represents | The unadjusted number of correct responses |
| A percentile rank of 60 means the examinee | Scored higher than 60% of the group |
| The formula for percentile rank is: | B/N × 100 |
| The best measure of central tendency for a skewed distribution is the | Median |
| The standard deviation represents | The average distance of scores from the mean |
| Approximately what proportion of cases lie within ±1 SD in a normal distribution | 68% |
| Roughly 95% of cases fall within how many standard deviations of the mean | .±2 |
| A z-score of +1 corresponds approximately to which percentile | 84th |
| The formula for calculating a z-score is | (X − Mean) / SD |
| A z-score of 0 corresponds t | The mean of the distribution |
| Why are T-scores often preferred over z-scores | They eliminate negative numbers and use an easy-to-interpret scale |
| The formula to convert z to T is | T = 10z + 50 |
| In Item Response Theory (IRT), the focus is on: | The performance of individual items and trait estimation |
| The latent trait in IRT is symbolized by | θ (theta) |
| In Classical Test Theory (CTT), the primary unit of analysis is: | The test as a whole |
| In IRT, the a parameter represents | Discrimination |
| The b parameter in IRT refers to | Item difficulty level |
| The c parameter in IRT models | Probability of guessing correctly |
| An item characteristic curve (ICC) shows the relationship between | Latent ability and probability of a correct response |
| A flatter ICC indicates | Low discrimination |
| An item with high discrimination will show | A steep ICC slope |
| A raw score variance of zero means | All examinees received identical scores |
| The inattention parameter in IRT accounts for | Mistakes caused by lapses in attention |
| Criterion-related validity is strengthened by | Correlating independent predictors with objective outcomes |
| Construct validity is best supported when | The test correlates with related constructs and not unrelated ones |
| Reliability guarantees validity. (True/False) | false. |
| Construct validity depends partly on theoretical consistency. (True/False) | true |
| The mean is the best measure of central tendency in all cases. (True/False) | false |
| T-scores have a mean of 50 and SD of 10. (True/False) | true |
| In CTT, items are evaluated by how they correlate with total test score. (True/False) | true |
| In IRT, the c parameter represents item difficulty. (True/False) | false |
| Percentile ranks show how a score compares to others. (True/False) | true |
| A standard deviation of 0 means no variation among scores. (True/False) | true |
| In IRT, higher theta values indicate greater ability. (True/False) | true |
| A test can be reliable but still lack validity. (True/False) | true |