A researcher concludes an intervention is effective when p = .20. Which conclusion is MOST accurate?
B. The results are not statistically significant
A p-value of .20 indicates that the results are not statistically significant, as it is above the common threshold of .05.
A study examines the effect of group therapy on reducing social anxiety. The dependent variable is:
B. Level of social anxiety
The dependent variable is the outcome that is measured in a study.
A measure that correlates strongly with other established tools measuring the same concept demonstrates:
A. Convergent validity
Convergent validity is demonstrated when a measure correlates well with other measures of the same construct.
A researcher designs a study to test whether a new intervention reduces test anxiety. Which null hypothesis (H₀) is most appropriate?
B. The intervention has no effect on test anxiety
The null hypothesis typically states that there is no effect or difference.
A counselor notices that when the SAT is administered to students in urban schools, their scores tend to underestimate college GPA compared to suburban students. This suggests a problem with:
B. Criterion-related validity
Criterion-related validity refers to how well one measure predicts an outcome based on another measure.
A counselor concludes a new intervention reduces depression when, in truth, it does not. This represents:
A. Type I error
A Type I error occurs when a true null hypothesis is incorrectly rejected.
When administering the Strong Interest Inventory, a counselor explains that the test compares the client’s interests to those of satisfied workers. This reflects which type of validity?
B. Criterion-related
Criterion-related validity involves comparing test results to an external criterion.
Which reliability measure would best assess consistency among different raters?
B. Inter-rater reliability
Inter-rater reliability measures the level of agreement between different raters.
A standardized test that accurately measures future performance in graduate school is demonstrating:
A. Predictive validity
Predictive validity refers to the extent to which a test predicts future performance.
A program evaluation study tracks dropout rates, attendance, and client satisfaction while the program is ongoing. This is an example of:
A. Formative evaluation
Formative evaluation focuses on monitoring and improving a program during its implementation.
A research article reports results as “p < .01.” What does this indicate?
B. The probability of error is less than 1%
A p-value less than .01 indicates a very low probability that the results are due to chance.
In program evaluation, formative evaluation is BEST described as:
A. An assessment during program development to improve effectiveness
Formative evaluation focuses on improving a program while it is being developed.
A researcher asks participants to rank their satisfaction with a counseling program from “1 = least satisfied” to “5 = most satisfied.” This is an example of:
B. Ordinal data
Ordinal data involves order or ranking but not equal intervals between ranks.
A counselor conducts a longitudinal study tracking substance use across 15 years. Which threat to validity is most concerning?
B. Attrition
Attrition refers to participants dropping out of a study over time, which can threaten the study’s validity.
A counselor administers a test that appears to measure self-confidence simply because it looks like it should. This reflects:
A. Face validity
Face validity refers to the extent to which a test appears to measure what it is supposed to measure.
A researcher is testing the effectiveness of a new therapy technique. The null hypothesis (H₀) would state:
A. The therapy has no effect on outcomes
The null hypothesis typically states that there is no effect or difference.
A test shows consistent results when administered multiple times, but it fails to measure what it claims. This instrument demonstrates:
A. High reliability, low validity
High reliability indicates consistency, while low validity indicates the test does not measure what it claims.
A counselor concludes a new substance use program has no effect, when in fact it reduces relapse rates. This is an example of:
B. Type II error
A Type II error occurs when a false null hypothesis is not rejected.
A counselor develops a new depression scale and gives it to a sample of 500 clients. He divides the test into two halves and compares results. This method assesses:
A. Internal consistency
Internal consistency measures how well the items on a test measure the same construct.
In a normal curve, approximately what percentage of scores fall within one standard deviation of the mean?
B. 68%
In a normal distribution, about 68% of data falls within one standard deviation of the mean.
A researcher reports a correlation of r = 0.00 between two variables. What does this indicate?
A. No linear relationship between the variables
A correlation of 0 indicates no linear relationship.
A researcher designs an experiment but does not randomly assign participants. Which type of design is this?
A. Quasi-experimental
Quasi-experimental designs lack random assignment, which can affect internal validity.
A test designed to predict future academic performance is best evaluated by:
B. Predictive validity
Predictive validity assesses how well a test predicts future outcomes.
A client’s test score has a SEM of 4. If she scored 96, what is the 68% confidence interval?
A. 92–100
The 68% confidence interval is calculated as the score plus and minus one SEM.