Test Bank all Chapters,

Applied Multivariate Statistical Concepts, 1e Debbie Hahs- Vaughn (Test Bank all Chapters, Test Bank Correct Answer are in Bold.)

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Instructor Resource – 9780415842365 © Hahs-Vaughn, D.L. Applied Multivariate Statistical Concepts, 1e (2017, Routledge, Taylor & Francis)

Test Bank Chapter 1 Answers to each question are in bold.

• A researcher has measured college aptitude, a continuous measure, on students within all high

schools in the state and wants to examine the relationship between GPA and college aptitude. Which one of the following procedures is recommended given this scenario?

• discriminant analysis
• multilevel modeling

c) MANOVA

• exploratory factor analysis

• A researcher wants to examine the mean difference between treatment and control participants on

time on task, number of behavioral referrals, and sense of wellness. Which one of the following procedures is recommended given this scenario?

• discriminant analysis
• multilevel modeling

c) MANOVA

• exploratory factor analysis

• A researcher wishes to predict group classification based on pretreatment covariates. Which one of

the following procedures is recommended given this scenario?

• discriminant analysis
• multilevel modeling

c) MANOVA

• exploratory factor analysis

• A researcher wants to apply a variable-level approach to group variables based on participants. Which

one of the following procedures is recommended given this scenario?

• discriminant analysis
• multilevel modeling

c) MANOVA

• exploratory factor analysis

• A researcher wants to predict whether or not someone will vote at the polls versus mailing in their

ballot. Which one of the following procedures is recommended given this scenario?

• cluster analysis
• confirmatory factor analysis
• logistic regression
• propensity score analysis
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Instructor Resource – 9780415842365 © Hahs-Vaughn, D.L. Applied Multivariate Statistical Concepts, 1e (2017, Routledge, Taylor & Francis)

• A researcher wants to apply a person-level approach to group participants based on observed

variables. Which one of the following procedures is recommended given this scenario?

• cluster analysis
• confirmatory factor analysis
• logistic regression
• propensity score analysis

• A researcher wants to classify variables into common groups based on theoretical evidence. Which

one of the following procedures is recommended given this scenario?

• cluster analysis
• confirmatory factor analysis
• logistic regression
• propensity score analysis

• A researcher has conducted a study with participants self-selecting into groups. However, they are

interested in making causal inference from this data. Which one of the following procedures is recommended given this scenario?

• cluster analysis
• confirmatory factor analysis
• logistic regression
• propensity score analysis

• A researcher was not able to randomly assign cases to groups, but is interested in matching cases

even though they self-selected to groups. Which one of the following procedures is recommended given this scenario?

• confirmatory factor analysis
• discriminant analysis
• multilevel modeling
• propensity score analysis

• A researcher wants to predict years of employment based on age and number of college courses

completed. Which one of the following procedures is recommended given this scenario?

• discriminant analysis
• multilevel modeling
• multiple linear regression
• propensity score analysis

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Instructor Resource – 9780415842365

© Hahs-Vaughn, D.L. Applied Multivariate Statistical Concepts, 1e (2017, Routledge, Taylor & Francis)

Test Bank Chapter 2 Answers to each question are in bold. Feedback (in bold) follows each set of answers.

• In hypothesis testing, the probability of rejecting H0 when H0 is false is denoted by which one of the

following?

• α
• 1 - α
• β
• 1 - β

Feedback: Rejecting H0 when H0 is false is a correct decision and specifically, one minus beta--also known as power

• In hypothesis testing, the probability of rejecting H0 when H0 is true is denoted by which one of the

following?

• α
• 1 - α
• β
• 1 - β

Feedback: Rejecting H0 when H0 is true is a Type I error, also known as alpha

• In hypothesis testing, the probability of failing to reject H0 when H0 is true is denoted by which one of

the following?

• α
• 1 - α
• β
• 1 - β

Feedback: Failing to reject H0 when H0 is true is a correct decision, computed as one minus alpha

• The probability of making a Type I error when rejecting H0 when H0 is true, at a significance level of

.10, is which one of the following?

• 0%
• 5%
• 10%
• 100%

Feedback: The probability of making a Type I error, which is rejecting H0 when H0 is true, is alpha. In this case, alpha is .10 so the probability is 10%.

• Which one of the following is an assumption of the independent t test?
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