Independent-Groups Design of Research MCQs
Independent-Groups Design of Research MCQs
Try to answer these 30 Independent-Groups Design of Research MCQs and check your understanding of the Independent-Groups Design of Research subject.
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1: Variability in scores created by the different levels of the ____researchers attempt to maximize this variability in between groups variance.
A. II
B. III
C. IV
D. V
2: A measure of effect size; describes the mag-nitude of the effect of our IV (or predictor) on the DV (or outcome) in standard deviation units is called cohen's
A. A
B. B
C. C
D. D
3: An estimation of the range of val-ues within which the scores will fall (margin of error) is called
A. Time interval
B. Confidence interval
C. Class interval
D. None of these
4: The percentage of variability in a measured variable which is accounted for by the grouping variable is called
A. Eta
B. Phi
C. Eta squared
D. Phi squared
5: Fisher's least significant difference test is a commonly used post hoc test that computes the small-est amount that group means can differ in order to be significant.
A. True
B. False
6: Assumption that the vari-ance of populations is the same; group standard deviations serve as estimates of the population variances is ___ of variance
A. Heterogeneity
B. Homogeneity
C. Grouping
D. None of these
7: The inferential statistic used to test differences between means in a study with two independent groups is independent sample t test
A. True
B. False
8: Levene's test for equality of variance is a statistical test that examines whether the variability within different samples is similar.
A. True
B. False
9: Mean square difference ____ groups is the average deviation of group means from the total mean of a sample
A. Within
B. Between
C. Positive
D. Negative
10: Mean square ____ groups is the average devi-ation within all groups or levels of a study
A. Within
B. Between
C. Positive
D. Negative
11: Multiple independent group design is exam-ining the effect of a manipulated IV or the relationship of a variable that has three or more levels on a DV
A. True
B. False
12: One way analysis of variance is the inferential statistical test used to analyze data from a multiple-groups design.
A. True
B. False
13: The variable that is predicted, and a term used instead of DV in a correlational design is called
A. Income
B. Outcome
C. Money
D. None of these
14: Estimate of the total variance for a sample of scores computed by combining and weighting by their respective n the variances of the two groups mak-ing up the sample is pooled variance
A. True
B. False
15: Post hoc test is a additional analysis when you find statistically significant results when comparing ___ groups
A. One
B. Two or more
C. Three or more
D. Equal
16: The variable that is used to predict the value of another variable, and a term used instead of IV in a correlational design is called
A. Constant variable
B. Predictor variable
C. Complex variable
D. None of these
17: Simple experiment is a study investigating the effect of a manipulated ____ with two conditions on a DV.
A. I
B. II
C. III
D. IV
18: Squared point biserial correlation is measure of effect size for the independent-samples t test, provid-ing the percentage of variance in the outcome (or DV) accounted for by the predictor (or IV).
A. True
B. False
19: The average variability in a sampling dis-tribution of differences between means is called standard error of difference between the ____
A. Median
B. Mean
C. Mode
D. All of thess
20: Sum of squares ____ groups is the sum of the squared deviations of treatment group means from the mean for the entire sample.
A. Between
B. Within
C. Outside
D. Inside
21: The sum of the squared deviations of each participant from the mean of their group is sum of square within group
A. True
B. False
22: Tukey's honestly significant difference test is a popular post hoc test that is more conservative than most tests; it must be used with equal n and computes the least significant difference that is significant between means
A. True
B. False
23: The variability among the scores of participants created by individual or participant differences even under the same conditions is called within group variance
A. True
B. False
24: If tobt = –3.98 and tcrit = 2.16 for p < .01, we would ______.
A. Retain the null hypothesis
B. Reject the null hypothesis
C. Reject the alternative hypothesis
D. Reject both the alternative and null hypotheses
25: Between-groups variance is comprised of ______.
A. Variance created by the IV and error variance from participant differences
B. Variance created by the IV and error variance from participant differences
C. Within-groups variance
D. Variance created by confounds
26: One advantage of conducting a multiple independent-groups design over multiple simple experiments is ______.
A. Decreasing the probability of a Type I error
B. Increasing the number of participants needed
C. Decreasing the p value required for statistical significance
D. Increasing the complexity of conducting a study
27: When a one-way ANOVA is significant, you must then determine how each group differs from every other group by computing ______.
A. Correlations
B. Effect size
C. Post hoc tests
D. Practical significance
28: Steps we can take to maximize the internal validity of a simple experiment include ______.
A. Telling participants how we want them to behave
B. Making sure that both the experimenter and participants know which level/condition of the IV they are in
C. Eliminate all possible confounds by making the experience identical for all participants except for the level of the IV that they experience
D. Keep your procedure the same for consistency sake, even if your pilot study suggested problems
29: Ben is researching the effect of sleep deprivation on test scores. He finds a significant effect and computes the effect size of rpb2 = .15. This can be interpreted as meaning ______.
A. Sleep deviation has a strong effect on test scores
B. Sleep deviation has a weak effect on test scores
C. Sleep deviation has a moderate effect on test scores
D. Sleep deviation has no effect on test scores
30: The value of F will ______.
A. Always be positive
B. Be positive more than negative
C. Always be negative
D. Be negative more than positive
31: In order to compute the standard error of the differences between means (SDX–X), we first compute ______.
A. Mean differences
B. The pooled variance of our two standard deviations
C. An independent-samples t test
D. Standard error of the means
32: If tobt = –1.98 and tcrit = 2.16 for p < .05, there is a probability of a ______.
A. Type I error
B. Type II error
C. Neither a Type I nor Type II error
D. 5% for a Type I error
33: Quasi-experiments differ from experiments because they ______.
A. Randomly assign participants to preexisting groups
B. Do not manipulate a variable and so lack an IV
C. Examine causation through correlation
D. Use preexisting groups rather than randomly assigning participants to groups
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Independent-Groups Design of Research MCQs
