,TESTBANK FOR Statistics and Data Analysis Literacy
for Nurses Schreiber
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,Test Bank
to Accompany
Statistics and Data
Analysis Literacy for
Nurses
James B. Schreiber, PhD
Melanie T. Turk, PhD, RN
Copyright © Springer Publishing Company, LLC. All Rights Reserved.
1
,Copyright © 2023 Springer Publishing Company, LLC
All rights reserved.
This work is protected by U.S. copyright laws and is provided solely for the use of instructors in teaching
their courses and as an aid for student learning. No part of this publication may be sold, reproduced,
stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical,
photocopying, recording, or otherwise, without the prior permission of Springer Publishing Company,
LLC.
Springer Publishing Company, LLC
11 West 42nd Street
New York, NY 10036
www.springerpub.com
ISBN: 978-0-8261-6584-8
The author and the publisher of this Work have made every effort to use sources believed to be reliable to
provide information that is accurate and compatible with the standards generally accepted at the time of
publication. The author and publisher shall not be liable for any special, consequential, or exemplary
damages resulting, in whole or in part, from the readers’ use of, or reliance on, the information contained
in this book. The publisher has no responsibility for the persistence or accuracy of URLs for external or
third-party Internet websites referred to in this publication and does not guarantee that any content on
such websites is, or will remain, accurate or appropriate.
2
,Contents
Chapter 1: Statistical Understanding
Chapter 2: Background of Design, Measurement, and Analysis
Chapter 3: Descriptive Analyses
Chapter 4: Visual Representations
Chapter 5: Traditional Study Design
Chapter 6: Variability Between and Within Groups
Chapter 7: Variability Between and Within Groups Expanded
Chapter 8: Correlation and Regression
Chapter 9: Logistic Regression
Chapter 10: Introduction to Bayesian Analysis
Chapter 11: Quality Improvement
Chapter 12: Humility
Copyright © Springer Publishing Company, LLC. All Rights Reserved.
3
,4
,This test bank is organized by chapter and has a variety of true/false, multiple choice, matching,
and short answer scenario problems. We recommend you make any changes to match the
wording used in class with your students. Additionally, these can be used as a starting point to
make your own questions. For example, the matching and multiple choice can easily be adjusted
to the true/false format. And obviously the true/false can be switched. Finally, all items should be
adjusted when necessary to match your class. For example, MSW and MSE are the same thing in
ANOVA, but some people are used to saying within and some error. We use them
interchangeably.
5
,Chapter 1
1. The central focus of a quantitative research study should be the p-value once the analysis is
complete.
*False
RATIONALE: The focus should be on the magnitude of association or difference along with
acknowledgement of sampling and measurement error.
2. Research studies can be easily generalized regardless of sampling process.
*False
RATIONALE: The sample process drives the ability to generalize results
3. p-Values are the probability the results will be observed 95% of the time.
*False
RATIONALE: Less than 5% of the statistical test parameters from many random
samples are farther away from the mean on the sampling distribution for the null
hypothesis than the test parameter for the result observed and the null hypothesis is
true
4. Accuracy is more important than a p-value is less than 0.05.
*True
RATIONALE: If you have accurate values, then the p-value is meaningless because any
difference or association will be stable regardless of p-value
1
,5. In Abelson’s model of MAGIC, articulation is the ability to change people’s beliefs with the
observed results.
*False
RATIONALE: That is interestingness
6. Power analysis determines if the study will be observed to be important.
*False
RATIONALE: Power analysis helps determine a minimum sample size in order to reach p <
0.05.
7. Maija is finishing the first draft of the manuscript of her research study on medical errors. As
she rereads it, she is concerned that other researchers may not see this as useful when they read
it. Maija is most concerned with
A. articulation
*B. interestingness
C. credibility
D. generality
RATIONALE: Interestingness is the correct answer because it is focused on potential of the
readers and whether it will provide something to change thoughts. Whereas articulation,
credibility, and generality are focused on exactness of language, results are believable, and
applicability of results past the sample
8. p-Value less than .05 criterion was developed R. A. Fisher though,
2
, A. creation of mathematical proof to show p must be less than or equal to 0.05.
B. simulation studies that demonstrate p should be less than or equal to 0.05.
C. experimentally, through the examination of the results of studies.
*D. by deciding that 0.05 seemed like a good place to make the cutoff.
RATIONALE: Fisher made up the rule because he thought it felt like that was a good cutoff to
determine if the results were important.
9. The long-run probability of committing a Type I error is based on
A. the p-value is less than 0.05.
*B. the alpha value is less than 0.05.
C. the beta value is set at 0.80.
D. Power is set at 0.80.
RATIONALE: Type I error is based on the set alpha cutoff value.
10. You are reading a research study with age, coded in years, that has a mean of 37.5. Which
sample size is possible for this to be the average
A. 89
B. 91
*C. 82
D. 73
RATIONALE: The other values will not multiply out to an even number.
3
for Nurses Schreiber
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,Test Bank
to Accompany
Statistics and Data
Analysis Literacy for
Nurses
James B. Schreiber, PhD
Melanie T. Turk, PhD, RN
Copyright © Springer Publishing Company, LLC. All Rights Reserved.
1
,Copyright © 2023 Springer Publishing Company, LLC
All rights reserved.
This work is protected by U.S. copyright laws and is provided solely for the use of instructors in teaching
their courses and as an aid for student learning. No part of this publication may be sold, reproduced,
stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical,
photocopying, recording, or otherwise, without the prior permission of Springer Publishing Company,
LLC.
Springer Publishing Company, LLC
11 West 42nd Street
New York, NY 10036
www.springerpub.com
ISBN: 978-0-8261-6584-8
The author and the publisher of this Work have made every effort to use sources believed to be reliable to
provide information that is accurate and compatible with the standards generally accepted at the time of
publication. The author and publisher shall not be liable for any special, consequential, or exemplary
damages resulting, in whole or in part, from the readers’ use of, or reliance on, the information contained
in this book. The publisher has no responsibility for the persistence or accuracy of URLs for external or
third-party Internet websites referred to in this publication and does not guarantee that any content on
such websites is, or will remain, accurate or appropriate.
2
,Contents
Chapter 1: Statistical Understanding
Chapter 2: Background of Design, Measurement, and Analysis
Chapter 3: Descriptive Analyses
Chapter 4: Visual Representations
Chapter 5: Traditional Study Design
Chapter 6: Variability Between and Within Groups
Chapter 7: Variability Between and Within Groups Expanded
Chapter 8: Correlation and Regression
Chapter 9: Logistic Regression
Chapter 10: Introduction to Bayesian Analysis
Chapter 11: Quality Improvement
Chapter 12: Humility
Copyright © Springer Publishing Company, LLC. All Rights Reserved.
3
,4
,This test bank is organized by chapter and has a variety of true/false, multiple choice, matching,
and short answer scenario problems. We recommend you make any changes to match the
wording used in class with your students. Additionally, these can be used as a starting point to
make your own questions. For example, the matching and multiple choice can easily be adjusted
to the true/false format. And obviously the true/false can be switched. Finally, all items should be
adjusted when necessary to match your class. For example, MSW and MSE are the same thing in
ANOVA, but some people are used to saying within and some error. We use them
interchangeably.
5
,Chapter 1
1. The central focus of a quantitative research study should be the p-value once the analysis is
complete.
*False
RATIONALE: The focus should be on the magnitude of association or difference along with
acknowledgement of sampling and measurement error.
2. Research studies can be easily generalized regardless of sampling process.
*False
RATIONALE: The sample process drives the ability to generalize results
3. p-Values are the probability the results will be observed 95% of the time.
*False
RATIONALE: Less than 5% of the statistical test parameters from many random
samples are farther away from the mean on the sampling distribution for the null
hypothesis than the test parameter for the result observed and the null hypothesis is
true
4. Accuracy is more important than a p-value is less than 0.05.
*True
RATIONALE: If you have accurate values, then the p-value is meaningless because any
difference or association will be stable regardless of p-value
1
,5. In Abelson’s model of MAGIC, articulation is the ability to change people’s beliefs with the
observed results.
*False
RATIONALE: That is interestingness
6. Power analysis determines if the study will be observed to be important.
*False
RATIONALE: Power analysis helps determine a minimum sample size in order to reach p <
0.05.
7. Maija is finishing the first draft of the manuscript of her research study on medical errors. As
she rereads it, she is concerned that other researchers may not see this as useful when they read
it. Maija is most concerned with
A. articulation
*B. interestingness
C. credibility
D. generality
RATIONALE: Interestingness is the correct answer because it is focused on potential of the
readers and whether it will provide something to change thoughts. Whereas articulation,
credibility, and generality are focused on exactness of language, results are believable, and
applicability of results past the sample
8. p-Value less than .05 criterion was developed R. A. Fisher though,
2
, A. creation of mathematical proof to show p must be less than or equal to 0.05.
B. simulation studies that demonstrate p should be less than or equal to 0.05.
C. experimentally, through the examination of the results of studies.
*D. by deciding that 0.05 seemed like a good place to make the cutoff.
RATIONALE: Fisher made up the rule because he thought it felt like that was a good cutoff to
determine if the results were important.
9. The long-run probability of committing a Type I error is based on
A. the p-value is less than 0.05.
*B. the alpha value is less than 0.05.
C. the beta value is set at 0.80.
D. Power is set at 0.80.
RATIONALE: Type I error is based on the set alpha cutoff value.
10. You are reading a research study with age, coded in years, that has a mean of 37.5. Which
sample size is possible for this to be the average
A. 89
B. 91
*C. 82
D. 73
RATIONALE: The other values will not multiply out to an even number.
3
