Unit 11: Analysis of Variance and Prediction Techniques - Practice Quiz

DEMGN832 — Research Methodology 60 Questions
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1 What is the main purpose of analysis of variance (ANOVA)?

Analysis of variance for mean difference Easy
A. To compare means across groups
B. To predict one categorical value
C. To calculate a sample median
D. To measure internal consistency

2 In a one-way ANOVA, what does the null hypothesis usually state?

Analysis of variance for mean difference Easy
A. All group means are different
B. All group variances are zero
C. All group means are equal
D. All observations are identical

3 Which test statistic is commonly used in ANOVA?

Analysis of variance for mean difference Easy
A. The statistic
B. The chi-square statistic
C. The statistic
D. The correlation coefficient

4 If an ANOVA result has , what is the usual conclusion at the 5% significance level?

Analysis of variance for mean difference Easy
A. Every group mean is equal
B. The sample size is insufficient
C. Every group mean differs
D. At least one group mean differs

5 What does reliability refer to in research measurement?

Reliability Easy
A. Consistency of measurement results
B. Importance of the research topic
C. Accuracy of a causal theory
D. Size of the research sample

6 Which type of reliability is assessed by giving the same test to the same participants at two different times?

Reliability Easy
A. Inter-rater reliability
B. Test-retest reliability
C. Internal consistency reliability
D. Parallel-forms reliability

7 Which statistic is commonly used to assess the internal consistency of a multi-item scale?

Reliability Easy
A. The regression slope
B. The statistic
C. Pearson's correlation
D. Cronbach's alpha

8 What does inter-rater reliability measure?

Reliability Easy
A. Association between two variables
B. Agreement among different observers
C. Stability of scores over time
D. Coverage of a subject area

9 What does validity indicate about a research instrument?

Validity Easy
A. It uses a large research sample
B. It always produces identical scores
C. It contains many questionnaire items
D. It measures the intended concept

10 Which type of validity examines whether an instrument adequately covers all aspects of a topic?

Validity Easy
A. Construct validity
B. Statistical validity
C. Criterion validity
D. Content validity

11 Which type of validity examines whether a measure behaves according to the theory of its underlying concept?

Validity Easy
A. External validity
B. Content validity
C. Face validity
D. Construct validity

12 Criterion validity is assessed by comparing a measure with what?

Validity Easy
A. A larger questionnaire
B. An unrelated variable
C. A random sample
D. An external standard

13 How many predictor variables are used in a simple bivariate regression model?

Bivariate regression Easy
A. Three predictor variables
B. Two predictor variables
C. Four predictor variables
D. One predictor variable

14 In the bivariate regression equation , what does represent?

Bivariate regression Easy
A. The predicted outcome
B. The regression intercept
C. The regression slope
D. The model residual

15 In the equation , which variable is the dependent variable?

Bivariate regression Easy
A.
B.
C.
D.

16 What does a positive regression slope indicate?

Bivariate regression Easy
A. remains constant as increases
B. tends to decrease as increases
C. tends to increase as increases
D. has no observed values

17 What distinguishes multiple regression from bivariate regression?

Multiple regression analysis Easy
A. It uses two or more predictors
B. It uses no outcome variable
C. It measures only test consistency
D. It compares only group means

18 In multiple regression, what does represent?

Multiple regression analysis Easy
A. The number of predictors included
B. The difference between group means
C. The proportion of outcome variance explained
D. The average value of the outcome

19 What is the dependent variable in a multiple regression model?

Multiple regression analysis Easy
A. The variable selected randomly
B. The variable used as a predictor
C. The variable held constant
D. The variable being predicted

20 What is multicollinearity in multiple regression?

Multiple regression analysis Easy
A. High variation in the outcome variable
B. Low agreement among research raters
C. Low consistency among scale items
D. High correlation among predictor variables

21 A researcher compares mean test scores across four teaching methods using one-way ANOVA. The analysis gives with . What is the most appropriate conclusion?

Analysis of variance for mean difference Medium
A. All four population means are significantly different
B. The teaching method with the largest mean is best
C. At least one population mean differs from another
D. Exactly two population means are significantly different

22 In a one-way ANOVA, the between-group mean square is and the within-group mean square is . What is the calculated statistic?

Analysis of variance for mean difference Medium
A.
B.
C.
D.

23 A one-way ANOVA finds a significant difference among five group means. Which procedure is most suitable for determining which pairs of means differ while controlling the familywise Type I error rate?

Analysis of variance for mean difference Medium
A. A separate unadjusted test for every pair
B. Tukey's honestly significant difference test
C. A one-sample test for each mean
D. A Pearson correlation significance test

24 Three independent groups have strongly unequal variances and noticeably different sample sizes. Which approach is most appropriate for comparing their means?

Analysis of variance for mean difference Medium
A. Use repeated-measures ANOVA
B. Use Welch's ANOVA
C. Use a paired-samples test
D. Use the standard pooled ANOVA

25 A 20-item attitude scale has Cronbach's alpha of . After removing one poorly correlated item, alpha rises to . What does this result most directly suggest?

Reliability Medium
A. The removed item weakened internal consistency
B. The respondents became more stable over time
C. The remaining items have no measurement error
D. The scale now has established criterion validity

26 A researcher administers the same anxiety questionnaire to the same participants twice, two weeks apart, and correlates the two sets of scores. Which type of reliability is being assessed?

Reliability Medium
A. Inter-rater reliability
B. Internal consistency reliability
C. Test-retest reliability
D. Parallel-forms reliability

27 A test has a standard deviation of and a reliability coefficient of . Using , what is its standard error of measurement?

Reliability Medium
A.
B.
C.
D.

28 Two trained observers independently classify classroom behavior into the same set of categories. Which statistic is most appropriate for assessing agreement beyond chance?

Reliability Medium
A. Cohen's kappa
B. Adjusted
C. Pearson's slope
D. Cronbach's alpha

29 Experts review a new research-methods examination to determine whether its questions adequately represent all areas in the course syllabus. Which form of validity is primarily being evaluated?

Validity Medium
A. Predictive validity
B. Discriminant validity
C. Content validity
D. Concurrent validity

30 Scores from a university entrance test are correlated with students' grade point averages obtained at the end of their first year. Which type of validity does this evidence support?

Validity Medium
A. Discriminant validity
B. Predictive validity
C. Face validity
D. Content validity

31 A new depression scale correlates strongly with an established depression inventory but weakly with a measure of mathematical ability. What does this pattern support?

Validity Medium
A. Face and concurrent reliability
B. Internal and inter-rater reliability
C. Convergent and discriminant validity
D. Content and predictive validity

32 A questionnaire produces highly consistent scores, but it systematically measures social confidence instead of the intended construct of self-esteem. Which statement best describes the questionnaire?

Validity Medium
A. It is valid but lacks internal consistency
B. It is reliable but lacks construct validity
C. It has predictive validity but low stability
D. It has content validity and no measurement bias

33 A regression model predicting examination score from study time is , where is the number of study hours. What score is predicted for a student who studies for hours?

Bivariate regression Medium
A.
B.
C.
D.

34 In the model , where is daily screen time in hours and is a concentration score, how should the slope be interpreted?

Bivariate regression Medium
A. Each extra hour predicts a -point decrease in concentration
B. Each extra hour predicts a -point decrease in concentration
C. Zero screen time predicts a concentration score of
D. A concentration increase of predicts one extra screen hour

35 The correlation between two variables is . In a bivariate linear regression with an intercept, what proportion of variance in the outcome is explained by the predictor?

Bivariate regression Medium
A.
B.
C.
D.

36 For one participant, a regression model predicts a score of , while the observed score is . Using , what is the residual?

Bivariate regression Medium
A.
B.
C.
D.

37 A multiple regression model is , where is study hours and is absence days. What is the predicted outcome for and ?

Multiple regression analysis Medium
A.
B.
C.
D.

38 In a regression predicting salary from education and work experience, the coefficient for education is when experience is included in the model. How should this coefficient be interpreted?

Multiple regression analysis Medium
A. Each additional experience year predicts more salary, holding education constant
B. A salary increase of causes one additional education year
C. Education and experience together increase salary by exactly
D. Each additional education year predicts more salary, holding experience constant

39 A regression model has and adjusted after several weak predictors are added. What does the difference most reasonably indicate?

Multiple regression analysis Medium
A. Every predictor has a significant unique effect
B. The model satisfies all regression assumptions
C. The outcome contains no unexplained variance
D. Some predictors add little useful explanatory power

40 In a multiple regression model, two predictors have variance inflation factors above , and their estimated coefficients change greatly when either predictor is removed. What is the most likely problem?

Multiple regression analysis Medium
A. Outcome truncation
B. Independent errors
C. Homoscedasticity
D. Multicollinearity

41 A one-way ANOVA compares three groups, each containing five observations. The group means are , , and , and the within-group sum of squares is . What is the resulting statistic?

Analysis of variance for mean difference Hard
A.
B.
C.
D.

42 In a one-way ANOVA, group sizes are highly unequal and the smallest group has the largest population variance. Assuming normal observations, which conclusion is most appropriate?

Analysis of variance for mean difference Hard
A. The unequal variances are harmless because normality ensures robustness of the test
B. The conventional test becomes conservative; the Kruskal–Wallis test is mandatory
C. The conventional test remains exact if all group means are estimated without bias
D. The conventional test may have an inflated Type I error; Welch's ANOVA is preferable

43 A repeated-measures factor has four levels, and its uncorrected ANOVA has degrees of freedom . Mauchly's test indicates violated sphericity, with Greenhouse–Geisser estimate . Which correction is applied?

Analysis of variance for mean difference Hard
A. Use degrees of freedom while increasing the observed value
B. Use degrees of freedom while retaining the observed value
C. Use degrees of freedom while reducing the observed value
D. Use degrees of freedom while retaining the original critical value

44 In a balanced factorial study, the cell means are and for across and , and and for across the same levels. What pattern of effects is implied?

Analysis of variance for mean difference Hard
A. Equal main effects of both factors and an additive pattern
B. A main effect of factor , but no interaction
C. A main effect of factor , but no interaction
D. No main effect of either factor, but a crossover interaction

45 An eight-item standardized scale has an average inter-item correlation of . What is its standardized Cronbach's alpha?

Reliability Hard
A.
B.
C.
D.

46 A test has reliability . If its length is increased by a factor of using items parallel to the original items, what reliability is predicted by the Spearman–Brown formula?

Reliability Hard
A.
B.
C.
D.

47 Two measures correlate at . Their reliabilities are and . Under classical test theory, what is the estimated correlation between their error-free true scores?

Reliability Hard
A.
B.
C.
D.

48 A scale has Cronbach's alpha of but test–retest reliability of . Which interpretation best reconciles these results?

Reliability Hard
A. Items are internally homogeneous, but scores may be unstable across occasions
B. The scale necessarily has strong construct validity despite temporal instability
C. The scale has low random error both within and across testing occasions
D. Items measure unrelated constructs, but scores remain stable across occasions

49 Which correlation pattern provides the strongest evidence of convergent and discriminant validity in a multitrait–multimethod matrix?

Validity Hard
A. Equal correlations for all trait–method combinations regardless of trait identity
B. High different-trait correlations within methods and lower same-trait correlations across methods
C. Low same-trait correlations across methods and high correlations between measurement errors
D. High same-trait correlations across methods and lower different-trait correlations within methods

50 Twelve experts evaluate whether an item is essential, and ten classify it as essential. Using Lawshe's content validity ratio, what is the item's ?

Validity Hard
A.
B.
C.
D.

51 A reduced criterion-prediction model has . Adding two focal predictors produces . With and five predictors in the full model, what is the partial statistic for the added predictors?

Validity Hard
A.
B.
C.
D.

52 Researchers wish to compare latent construct means across two cultural groups. Which level of measurement invariance is ordinarily required before interpreting the latent mean difference?

Validity Hard
A. Configural invariance only
B. Metric invariance only
C. Strict invariance only
D. Scalar invariance

53 For variables and , , , , , and . What value of is predicted when ?

Bivariate regression Hard
A.
B.
C.
D.

54 Given , , and , the slope from regressing on is . What is the slope from separately regressing on ?

Bivariate regression Hard
A.
B.
C.
D.

55 At , why is a prediction interval for a new individual response wider than a confidence interval for the mean response?

Bivariate regression Hard
A. It includes both mean-estimation uncertainty and irreducible individual residual variation
B. It assumes heteroscedastic errors while the confidence interval assumes normal errors
C. It uses a larger slope estimate and excludes uncertainty in the fitted intercept
D. It corrects attenuation in while the confidence interval does not

56 A new observation is added far from but lies almost exactly on the existing fitted regression line. What is its most likely effect?

Bivariate regression Hard
A. It may increase leverage and reduce the slope's standard error without creating a large residual
B. It has negligible leverage because its standardized residual is approximately zero
C. It necessarily changes the slope's sign because its predictor value is unusually distant
D. It must create a large residual and substantially weaken the fitted linear relationship

57 Predictor has a near-zero bivariate correlation with outcome , yet its regression coefficient becomes large and significant after predictor is included. Which explanation is most plausible?

Multiple regression analysis Hard
A. eliminates all sampling error from the estimated coefficient of
B. suppresses variance in that is irrelevant to predicting
C. converts the residuals into perfectly homoscedastic random variables
D. proves that the zero-order association between and is causal

58 A predictor has a variance inflation factor of . Relative to an otherwise comparable orthogonal design, by what factor is its coefficient's standard error inflated?

Multiple regression analysis Hard
A. A factor of
B. A factor of
C. A factor of
D. A factor of

59 A regression model has , four predictors, and . What is the adjusted coefficient of determination?

Multiple regression analysis Hard
A.
B.
C.
D.

60 Consider the fitted model . At what value of is the conditional effect of on equal to zero?

Multiple regression analysis Hard
A.
B.
C.
D.