Final Exam

Do twice as many females as males in high school report being bullied? In order to test this question you could review the previous semester s data from a high school and then compute a(n) ______. A. chi-square goodness of fit with equal frequencies B. chi-square goodness of fit with unequal frequencies C. chi-square test of independence D. effect size for gender

B

As her class project Tamara is comparing the scores of a sample of 25 undergraduates on a 10-item quiz about Global Warming to the average obtained from a very large national group. After analyzing the data, she finds χ2 (1, N = 25) = 1.56, p > .05. What would you tell her about her analysis? A. She computed the wrong statistical test--she computed a chi-square with equal frequencies and she needs to compute a chi-square with unequal frequencies. B. She computed the wrong statistical test--a chi-square requires nominal data and she has interval data which should be analyzed with a one-sample t test. C. She did not find statistical significance, probably because her sample is too small. D. She should not compare a sample of undergraduates to a national group because her sample is so small.

B

Counterbalancing eliminates ______. A. attrition B. order effects C. mortality D. power

B

Data for a chi-square test for independence are presented in a ______. A. bar graph B. contingency table C. sampling distribution D. frequency distribution

B

Deedee is testing the effect of a new advising method on the study time of college students. Twelve students are matched on their GPAs and one of each pair is advised by the new method and one by the typical method. At the end of a month, all the students are ranked on their average daily study time. How would Deedee determine whether there is a difference in the study times of the two groups? A. independent samples t test B. Wilcoxon T test C. Rank Sums test D. Kruskal-Wallis H test

B

Having participants take part in different conditions in different orders is known as ______. A. order effects B. counterbalancing C. power D. matching

B

How might you describe this hypothesized interaction effect? (both lines intersecting, blue line going down, dotted line going up) A. A cell phone ringing during a lecture will lead to more errors on an exam, especially for those students in the analytical test condition. B. A ringing cell phone will lead to more errors on an exam for those who take the analytical test, but will lead to less errors for those who take the creativity test. C. A ringing cell phone will only impact the test scores for those who take the analytical test. D. The most errors will be found for those who experience a ringing cell phone and an analytical test.

B

If the participants' performance improves as a result of performing the same task repeatedly, this is known as ______. A. boredom B. a practice effect C. a fatigue effect D. carryover

B

Lee collects data on the average minutes of daily practice on the guitar. She decides to convert the data to ranks. If her original data are 80, 50, 50, 45, 40, 35, 30, 25, 20, 15, what would her ranked data be if they represented the same order as the original data? A. 1, 1.5, 1.5, 2, 3, 4, 5, 6, 7, 8 B. 1, 2.5, 2.5, 3, 4, 5, 6, 7, 8, 9, 10 C. 1, 2, 2, 3, 4, 5, 6, 7, 8, 9 D. 10, 8.5, 8.5, 7, 6, 5, 4, 3, 2, 1

B

The average difference between the scores of matched pairs or the scores for the same participants across two conditions is known as ______. A. the variance B. the mean difference C. the standard deviation D. the standard error of the mean difference

B

The interaction sums of squares is symbolized as ______. A. SSs B. SSaxb C. SSi D. Iss

B

The type of study that best supports the goal of beginning with similar participant characteristics in our groups is the ______. A. correlational design B. dependent-groups design C. experimental design D. quasi-experimental design

B

We compute a Spearman rho when we want to correlate ______. A. two groups with nominal data B. two variables of ordinal data C. two variables of interval/ratio data D. one variable with interval/ratio data and one dichotomous variable

B

Which of the following is true about practical significance and dependent-samples designs? A. There is a precise value you can measure to determine if you have practical significance. B. It is an interpretation of the impact of the effect in daily life. C. There is a critical value that you can use for comparison purposes to determine if you have practical significance. D. Practical significance isn t relevant with dependent-samples designs.

B

Which of the following is true about the relationship between design type and external validity? A. A matched design with the same variety of participant characteristics as an independent design will have less external validity than the independent design. B. A matched design with the same variety of participant characteristics as an independent design will have the same external validity as the independent design. C. A matched design with the same variety of participant characteristics as an independent design will have more external validity than the independent design. D. There is no relationship between design type and external validity.

B

______ is when participants are randomly assigned to different sequences of conditions so that each condition is represented in each order an equal number of times but not all sequences are represented. A. Complete counterbalancing B. Partial counterbalancing C. Latin Square counterbalancing D. Randomized partial counterbalancing

B

A factorial design with at least one factor with independent levels and at least one factor with dependent levels is called a(n) ______. A. independent-groups factorial design B. dependent-groups factorial design C. mixed factorial design D. hybrid factorial design

C

A researcher conducts an experiment examining the effect of exercise on memory. He hypothesizes that the presence of music while exercising will moderate the effect and therefore also randomly assigns the participants to listen to music or not. This is a(n) ______ factorial design. A. hybrid B. quasi-experimental C. experimental D. correlational

C

A researcher examines how both education level and political beliefs relate to environmental values. A main effect hypothesis for education level might be ______. A. those with a college degree who are also liberal will have the strongest environmental values B. liberals with a college degree will have the strongest environmental values, and conservatives without a college degree will have the lowest environmental values C. those with a college degree will have stronger environmental values than those without a college degree D. those with a college degree will have stronger environmental values than those without a college degree, and this relationship will be stronger for liberals than conservatives

C

Banning is examining whether parenthood (yes no) is related to willingness to support a bond for schools (yes maybe no). He could present the data in a ______ contingency table. A. 1 x 6 B. 2 x 2 C. 2 x 3 D. 6 x 1

C

Dr. Welthe examines whether the number of those with a college degree and those who have not earned a degree who are members of an investment club differs. She finds that χ2 obt = 6.54 and χ2 crit = 3.84, and can conclude ______. A. education causes more interest in building wealth B. education level significantly affected interest in investment C. education level is related to membership in the investment club D. there is no relationship between education level and membership in an investment club

C

If the participants' performance gets worse as a result of performing the same task repeatedly, this is known as ______. A. matching B. a practice effect C. a fatigue effect D. carryover

C

In an interaction, the factor that changes the strength or direction of the relationship between a predictor and the outcome (or one IV and the DV in an experiment) is called a ______. A. factor B. variable C. moderator D. cell

C

Overall dependent-groups designs ______. A. decrease power of a study because you maximize the difference between groups and minimize the error variability in scores B. increase power of a study because you minimize the difference between groups and minimize the error variability in scores C. increase power of a study because you maximize the difference between groups and minimize the error variability in scores D. increase power of a study because you minimize the difference between groups and maximize the error variability in scores

C

Parametric statistics assume which of the following? A. ordinal data B. three or more groups in a study C. normally distributed variables D. dependent groups

C

Richie wants to know whether the rankings for the 10 teams in his fantasy football league at the beginning and end of the season are related. What statistic would he compute to test his data? A. point-biserial correlation B. chi-square goodness of fit C. Spearman's rho D. Pearson's r

C

The McNemar test is used when you have ______. A. ordinal data and a dependent-groups design B. nominal data and an independent-groups design C. nominal dichotomous data and a dependent-groups design D. ordinal data and an independent-groups design

C

The chi-square goodness of fit for unequal frequencies is used when ______. A. expected frequencies are larger than the observed frequencies B. we need to test an interaction C. the alternative hypothesis predicts different frequencies for groups D. the null hypothesis is false

C

The mean of the dependent variable (DV) (or outcome) of the entire sample is called the ______. A. group mean B. cell mean C. grand mean D. sample mean

C

These results indicate ______. A. a statistically significant main effect for gender B. a statistically significant main effect for the instruction condition C. a statistically significant interaction effect D. a statistically significant main effect for gender and instructions

C

This graph depicts ______. (both horizontal at score 4) A. two main effects but no interaction B. an interaction but no main effects C. no main effects and no interaction effect D. one main effect but no interaction

C

This graph depicts ______. (dotted line horizontal at 2, blue line horizontal at 6) A. two main effects but no interaction B. an interaction but no main effects C. a main effect for the second factor, but no main effect for the first factor and no interaction D. a main effect for the first factor, but no main effect for the second factor and no interaction

C

When analyzing a factorial design, you must calculate F for ______. A. the main effects only B. the interaction only C. each main effect and the interaction D. each main effect, the interaction, and the error

C

When we have ordinal data and want to compare two independent groups of 30 adults each, we should compute a ______. A. Mann-Whitney U test B. Wilcoxon T test C. Rank Sums test D. Friedman χ2

C

Which is the appropriate statistical test to use if all of your participants undergo the same three conditions? A. dependent-samples t test B. independent-samples t test C. dependent-samples one-way ANOVA D. independent-samples one-way ANOVA

C

Which of the following is a good rationale for a factorial design? A. A factorial design allows you to examine the main effect of one variable on another. B. A factorial design provides additional opportunities to find statistically significant results. C. A factorial design allows you to systematically examine potential confounds. D. A factorial design reduces the chance of a Type II error.

C

Which of the following is an advantage of a repeated-measures design? A. decreased attrition B. increased error variance C. no need to worry about different participants variability in each condition D. carryover effects

C

A researcher conducts a 2 (major) x 2 (GPA) factorial. Which of the following might be the cells for this study? A. psychology majors with under 2.5 GPA, psychology majors with 2.5 or higher GPA, biology majors with under 2.5 GPA, biology majors with 2.5 or higher GPA B. psychology majors with under 2.5 GPA, biology majors with 2.5 or higher GPA C. psychology majors with under 2.5 GPA, biology majors with 2.5 or higher GPA, business majors with under 2.5 GPA, history majors with 2.5 or higher GPA D. psychology majors, biology majors, those with a GPA under 2.5, those with GPA 2.5 or higher

A

A researcher conducts an experiment examining the effect of a new medication on anxiety. If she wants to examine participant gender as a potential moderating factor, she would have a(n) ______ factorial design. A. hybrid B. quasi-experimental C. experimental D. correlational

A

A two-way mixed ANOVA is used to ______. A. analyze designs with one independent factor, one dependent factor, and an interval or ratio outcome B. analyze designs with two dependent factors and an interval or ratio outcome C. analyze designs with two independent factors and an interval or ratio outcome D. analyze designs when the results are expected to be mixed

A

Bobby collects data from 30 adolescents (15 ages 13 15 and 15 ages 16 18) on the average minutes of daily practice on the guitar and converts the data to ranks. He wants to know whether age is related to practice time. He should compute a ______. A. Mann-Whitney U test B. Rank Sums test C. Spearman's rho D. Wilcoxon T test

A

Desi wants to compare whether there is a difference in the number of people over and under 30 years of age who report using texting as their primary mode of communication. She might state the following as her alternative hypothesis ______. A. the number of people under 30 and over 30 who report using texting as their primary mode of communication will differ B. the number of people under 30 and over 30 who report using texting as their primary mode of communication will be equal C. the average number of people under 30 and the average number of people over 30 who report using texting as their primary mode of communication will differ D. there will be no difference in the number of people under 30 and the number of people over 30 who report using texting as their primary mode of communication

A

Expected frequencies are the ______. A. number we would expect in a category according to the null hypothesis B. number we obtain in a particular category C. frequency we hope to get in each category D. frequency reported in the literature for a particular category

A

How might you describe this hypothesized interaction effect? (graph about ADHD) A. A cell phone ringing during a lecture will lead to more errors on an exam, especially for those students who have symptoms of attention deficit hyperactivity disorder (ADHD). B. A ringing cell phone will lead to more errors on an exam but that those with low levels of ADHD will be unaffected. C. Those who experience a ringing cell phone during a lecture and have ADHD will make the most errors on the exam. D. Those who experience a ringing cell phone during a lecture will make the most errors on the exam.

A

If you have ordinal data and want to compare two independent groups of 10 adults each, you should compute a ______. A. Mann-Whitney U test B. Wilcoxon T test C. Rank Sums test D. Friedman χ2

A

One of the advantages of nonparametric tests is ______. A. they are appropriate for small samples with a nonnormal distribution of scores B. they help to increase external validity C. they can quickly test interactions D. they are appropriate for normally distributed data

A

The assumption that the variances of the differences between all the combinations of pairs of groups are equal is known as ______. A. sphericity B. deviance of variance C. skewness D. counterbalancing

A

The interaction df for a 2 x 2 design will always be ______. A. 1 B. 2 C. 4 D. 6

A

The matching variable you choose should be ______. A. highly correlated with your dependent variable B. the same as your dependent variable C. the same as your independent variable D. something that increases the variance between groups

A

The mean of each level of a factor that ignores the other factor is called ______. A. group means B. cell means C. grand means D. sample means

A

This graph depicts ______. (dotted line on the bottom, blue line on top, both going up) A. two main effects but no interaction B. an interaction but no main effects C. a main effect for the second factor, but no main effect for the first factor and no interaction D. a main effect for the first factor, but no main effect for the second factor and no interaction

A

What is true about post hoc tests and dependent-samples ANOVAs? A. They are run only when results are significant. B. They are run regardless of the results. C. They are run only when results are not significant. D. They are never run with this type of ANOVA.

A

Which is the appropriate statistical test to use if your participants all experience both of your conditions? A. dependent-samples t test B. independent-samples t test C. dependent-samples one-way ANOVA D. independent-samples one-way ANOVA

A

Which of the following involves pretesting participants on some variable that is relevant to the variable you measure? A. matched pairs design B. repeated-measured design C. independent-groups design D. within-subjects design

A

Which of the following is a potential problem for a repeated-measures design? A. carryover B. the need for more participants C. matching D. decreased power

A

Which of the following is one of the differences between a dependent-groups design and an independent-groups design? A. decreased chance of confounds B. increased heterogeneity of variance C. less sensitivity to changes in the measured variable D. larger sample size

A

______ is a factorial design in which all the factors have independent levels. A. Independent-groups factorial design B. Dependent-groups factorial design C. Mixed factorial design D. Matched-groups factorial design

A

A design with at least one experimental IV and at least one quasi-IV or predictor is called a(n) ______. A. quasi-experimental factorial design B. experimental factorial design C. correlational factorial design D. hybrid factorial desigN

D

A researcher conducts a 2 (participant gender) ? 2 (participant marital status) factorial design. This is a(n) ______ factorial design. A. hybrid B. quasi-experimental C. experimental D. correlational

D

A researcher examines how both education level and political beliefs relate to environmental values. An interaction hypothesis might be ______. A. those with a college degree who are also liberal will have the strongest environmental values B. liberals with a college degree will have the strongest environmental values, and conservatives without a college degree will have the lowest environmental values C. those with a college degree will have stronger environmental values than those without a college degree D. those with a college degree will have stronger environmental values than those without a college degree, and this relationship will be stronger for liberals than conservatives

D

A study is comparing the number of people who engage in different types of exercise (walking, jogging, classes on the green, use of an exercise trail) at a park to see if there is a preference for the usage of the park. The minimum number of participants needed in order to compute a chi-square test is ______. A. 5 B. 10 C. 15 D. 20

D

A(n) ______ is the appropriate analysis for a 2 x 2 x 2 independent-groups factorial design, when the outcome is measured on an interval or ratio scale. A. Chi-square test of independence B. two-way between-subjects ANOVA C. two-way within-subjects ANOVA D. three-way between-subjects ANOVA

D

Bobby collects data from 30 adolescents on the average minutes of daily practice on the guitar and converts the data to ranks. He wants to know whether age (13 15 or 16 18) is related to practice time. His alternative hypothesis might state ______. A. there will be no difference in guitar practice times for older and younger adolescents B. there will be a difference in guitar practice times for older and younger adolescents C. there will be no difference in the sum of ranks for older and younger adolescents D. there will be a difference in the sum of ranks for older and younger adolescents

D

How might you describe this hypothesized interaction effect? (blue line horizontal, dotted line intersecting and going up) A. A cell phone ringing during a lecture will lead to more errors on an exam, especially for those students high in narcissism. B. A cell phone ringing during a lecture will lead to more errors on an exam, especially for those students low in narcissism. C. Those who experience a ringing cell phone during a lecture and who are high in narcissism will make the most errors on the exam. D. A ringing cell phone will lead to more errors on an exam for those low in narcissism, but those with high levels of narcissism will be unaffected.

D

If the impact of the treatment or measurement lasts longer than the time between different conditions, this is known as ______. A. boredom B. practice C. fatigue D. carryover

D

In a dependent ANOVA, the ______ is equal to treatment plus error variability, while the ______ is equal to the error variability in each condition. A. MSw; MSb B. MSw; MSa C. MSa; MSb D. MSa; MSw

D

One of the objections to the transformation of interval or ratio data to an ordinal scale is ______. A. decreased power B. decreased internal validity C. too few tied ranks D. too many tied ranks

D

The chi-square goodness of fit is appropriate when we have ______. A. ranking data B. ordinal data C. two nominal variables with two or more categories D. one nominal variable with at least two categories

D

The standard deviation of the differences for a sampling distribution of mean differences is known as ______. A. the variance B. the mean difference C. the critical value D. the standard error of the mean difference

D

This graph depicts ______. (straight going up) A. two main effects but no interaction B. an interaction but no main effects C. a main effect for the second factor, but no main effect for the first factor and no interaction D. a main effect for the first factor, but no main effect for the second factor and no interaction

D

Where does the power of a repeated-measures dependent design come from? A. its greater external validity B. more sensitive-dependent variables C. stronger manipulations of the independent variables D. controlling all potential confounding participant variables

D

Where does the power of the dependent-groups design come from? A. the large sample size B. the stronger manipulation C. the more sensitive dependent variable D. the decrease in random error that is created by participant characteristics

D

Which is an appropriate measure of effect size for dependent-samples groups? A. There is no appropriate measure of effect size for dependent-samples groups. B. Cohen's t C. Cohen's r D. Cohen's d

D

Which of the following example shows the proper format to the report results of a dependent-samples ANOVA? A. F(2, 459) = 4.57, p > .05 B. F(2, 459) = 4.57, p = ns C. F(459, 2) = 4.57, p = .07 D. F(2, 459) = 4.57, p = .07

D

Which of the following is the appropriate analysis for a dependent multiple-groups design, when the outcome variable or DV is measured on an interval or ratio scale? A. within-subjects t test B. between-subjects ANOVA C. Pearson's r D. dependent-groups ANOVA

D

A researcher conducts a study with two IVs, both of which were manipulated and participants were randomly assigned to groups. This is a(n) ______. A. quasi-experimental factorial design B. experimental factorial design C. correlational factorial design D. hybrid factorial design

B

A(n) ______ is the appropriate analysis for a 2 x 2 independent-groups factorial design, when the outcome measured on an interval or ratio scale. A. one-way within-subjects ANOVA B. two-way between-subjects ANOVA C. three-way within-subjects ANOVA D. four-way between-subjects ANOVA

B

An interaction is ______. A. how one variable predicts or affects the outcome B. how one variable predicts or affects the outcome based on the levels of another variable C. a comparison of one level of a factor across a level of another factor D. a design used to examine how two or more variables (factors) predict or explain an outcome

B

A 2 (gender of participant) x 2 (marital status of participant) design is an example of a(n) ______. A. independent-groups factorial design B. dependent-groups factorial design C. mixed factorial design D. hybrid factorial design

A

A Cochran Q test is computed when you have ______. A. dichotomous measure and three or more repeated measures or matched groups B. nominal data and repeated measures C. ordinal data and three or more repeated measures or matched groups D. ordinal data and a 3 x 4 contingency table

A

A main effect is ______. A. how one variable predicts or affects the outcome B. how one variable predicts or affects the outcome based on the levels of another variable C. a comparison of one level of a factor across a level of another factor D. a design used to examine how two or more variables (factors) predict or explain an outcome

A

A researcher conducts a 2 (exercise) x 3 (type of music) factorial. The main effect for exercise is ______. A. the impact of the exercise, not taking into account the type of music that was playing B. the impact of exercise when classical music is playing C. the impact of exercise when no music is playing D. the impact of exercise at each of the three levels of music

A

A researcher conducts a study with two IVs, both of which were manipulated but participants were not randomly assigned to group. This is a(n) ______. A. quasi-experimental factorial design B. experimental factorial design C. correlational factorial design D. hybrid factorial design

A

Nonparametric statistics are used when we have ______. A. ordinal or nominal data B. normally distributed variables C. homogeneity of variance D. the need for a more powerful test

A

Phi squared is computed when the contingency table is a ______. A. 2 x 2 B. 4 x 3 C. 3 x 3 D. the chi-square test for independence is significant

A

What nonparametric test for nominal data corresponds to the related-samples t test? A. McNemar test B. Cochran Q test C. Chi-square goodness of fit D. Kruskal-Wallis H test

A

Do children have a preference for a type of snack? When given the choice between snacks that are healthy, moderately healthy, or junk food, a study finds that 10 chose healthy snacks, 12 chose moderately healthy snacks, and 20 chose junk food. The analysis finds χ2 (2, N = 42) = 8.56, p < .01. Based on your study you can conclude ______. A. children are twice as likely to choose junk food as healthy or moderately healthy snacks B. more children preferred junk food than healthy or moderately healthy snacks C. children love sugar D. you cannot draw any conclusions from the results

B

Neshia examined the relationship between pet ownership (dog, cat, or other) and health (poor, average, excellent). Because the chi-squared test for independence was significant, she should compute a ______. A. phi squared B. Cramer's V squared C. contingency coefficient squared D. the chi-square test for independence is significant

B

The chi-square test for independence tests whether ______. A. the variance of each variable is independent B. the frequency distributions of two variables are independent C. homogeneity of variance has been violated D. the variables show a significant interaction

B

The lowest possible value of χ2 is ______, which represents ______. A. 1; a small difference between the observed and expected frequencies B. 0; no differences between the observed and expected frequencies C. 10; some difference between the each of the observed and expected frequencies D. -1; larger expected than observed values

B

The null hypothesis for a chi-square test for independence predicts that the two variables are ______. A. related B. independent C. causally related D. interactive

B

In a chi-square goodness of fit, the expected observations are computed by dividing ______. A. N by the observed frequency (O) B. the observed frequency (O) for a category by n C. N by the number of categories (k) D. the observed frequency (O) by the total frequency

C

The chi-square test compares ______. A. observed observations with obtained observations B. sum of the observations with obtained observations C. observed frequencies with expected frequencies D. predicted observations with the expected frequencies

C

The computation of the expected frequency is more complicated for a test for independence than for a goodness of fit because ______. A. we have to consider the relationship of the total number of frequencies to the observed frequency in each cell B. the expected frequency is the sum of the probabilities for each variable represented in the cell C. we have to compute the probability of the frequency for each variable represented in the cell and multiply these probabilities D. the expected frequencies for the second variable are unknown

C

The expected frequencies for each category of a chi-square goodness of fit ______. A. must equal the total N divided by the number of categories B. must be equal for each category C. can differ according to the null hypothesis D. are irrelevant to the calculation of chi-square

C

You should choose between using a Kruskal-Wallis H test and a Friedman ?2 to analyze your data based on ______. A. the number of scores in each group B. the number of categories for each variable C. whether the groups are dependent or independent D. whether the measure is nominal or ordinal

C

Assumptions for the chi-square goodness of fit include ______. A. two variables with two or more categories B. matching or repeated measures C. expected frequency of at least 10 in each category D. every member of the data set belongs to only one of the categories

D

The appropriate statistic to compute when you have a dependent-groups design with nominal data is ______. A. Cochran Q test or Friedman χ2 B. Wilcoxon T test or McNemar test C. Spearman rho or Friedman χ2 D. McNemar test or Cochran Q test

D

The specific statistic used to calculate the effect size for a χ2 test for independence depends on ______. A. the level of significance for χ2 obt B. the number of variables in the study C. the relative size of the contingency table and the frequency distribution D. the size of the contingency table and the relationship of rows and columns

D

According to these results, ______ of the variance in test scores were accounted for by gender. A. 17.3% B. 1.1% C. 11% D. .01%

B

A 3 x 3 x 3 x 3 factorial has ________. A. three factors, each with three levels B. four factors, each with three levels C. nine factors each with two levels D. none of these; this type of design is impossible

B

A factorial design in which all the levels of the factors are related via matching or repeated measures is called a(n) ______. A. independent-groups factorial design B. dependent-groups factorial design C. mixed factorial design D. hybrid factorial design

B

A researcher conducts a factorial design with the following three factors: Gender (male or female), age (18 28, 29 39, 40 50, 50+), and weight (underweight, normal weight, overweight). What type of factorial design is this? A. 3 x 3 B. 2 x 4 x 3 C. 2 x 12 D. 2 x 2 x 2

B

Which of the following involves participants serving as their own control by participating in every condition of the experiment? A. matched pairs design B. repeated-measured design C. independent-groups design D. quasi-experimental design

B

Which of the following is a disadvantage of a matched design? A. carryover effects B. the matching variable may sensitize participants to the purpose of your study C. the matching variable may decrease demand characteristics D. there is always a loss of power with this design

B

Which of the following is a type of dependent-groups design? A. case study B. repeated-measured design C. quasi-experimental design D. between-subjects design

B

Which of the following is one of the assumptions of the dependent-samples t test? A. the outcome is dichotomous B. the n of the groups is equal C. the groups are independent D. the predictor is interval or ratio

B

Which of the following would be an appropriate post hoc test to run after a dependent-samples ANOVA? A. sum of squares test B. Fisher's LSD C. partial eta squared D. There are no appropriate post hoc tests to run after a dependent-samples ANOVA.

B

What is the most basic factorial design? A. 1 x 1 B. 1 x 2 C. 2 x 2 D. 2 x 2 x 2

C

Which of the following is one of the assumptions for the one-way within-subjects ANOVA? A. predictor has two levels B. groups are independent C. outcome is interval or ratio scale of measurement D. outcome variable is skewed

C

With a chi-square goodness of fit we want to see if our data ______. A. deviate from the observed frequencies B. are significantly skewed C. fit what we would expect by chance D. interact with one another in unexpected patterns

C

With three different conditions in a repeated-measures design, how many different orders of condition are possible? A. 1 B. 3 C. 6 D. 12

C

______ is when each condition appears once in each sequence and participants are then randomly assigned to the difference sequences. A. Complete counterbalancing B. Partial counterbalancing C. Latin Square counterbalancing D. Randomized partial counterbalancing

C

A 2 x 2 x 2 design has ______ cells. A. 2 B. 4 C. 6 D. 8

D

A 3 x 4 design has ______ cells. A. 3 B. 4 C. 7 D. 12

D

A ______ is the appropriate analysis for a dependent-groups factorial design. A. dependent-samples t test B. one-way within-subjects ANOVA C. two-way between-subjects ANOVA D. two-way within-subjects ANOVA

D

Which of the following is used to analyze data from matched groups two-group designs when the outcome variable or DV is measured on an interval or ratio scale? A. Pearson's r B. one-way ANOVA C. independent-samples t test D. within-subjects t test

D

Which of the following tests the assumption of sphericity for a dependent-samples ANOVA? A. Hyunh-Feldt test of sphericity B. Geisser test of sphericity C. Greenhouse test of sphericity D. Mauchly's test of sphericity

D

______ is used to assess the effect size of a dependent-groups ANOVA. A. Pearson's r B. rpb2 C. partial eta D. partial eta squared

D

______ is when participants are randomly assigned to all possible sequences of conditions in an experiment. A. Complete counterbalancing B. Partial counterbalancing C. Latin Square counterbalancing D. Randomized partial counterbalancing

D

______ is when participants are randomly assigned to one of the possible sequences of conditions without concern about order or sequence and is typically used when you have a larger number of sequences than participants. A. Complete counterbalancing B. Partial counterbalancing C. Latin Square counterbalancing D. Randomized partial counterbalancing

D