BUSI 720 Quantitative Research Methods .docx

BUSI 720
Quantitative Research Methods
Assignment Instructions
Liberty University
School of Business
23 May 2018
BUSI 720, Quantitative Research Methods
23 May 2018 Page 2 of 11

Table of Contents
General Instructions ................................................................
................................................ 3
Assignment 1 ..........................................................................
................................................. 4
Assignment 2 ..........................................................................
................................................. 5
Assignment 3 ..........................................................................
................................................. 6
Assignment 4 ..........................................................................
................................................. 7
Assignment 5 ..........................................................................
................................................. 8
Assignment 6 ..........................................................................
................................................. 9
Assignment 7 ..........................................................................
............................................... 10
Assignment 8 ..........................................................................
............................................... 11

23 May 2018 Page 3 of 11
General Instructions
For each Assignment:
1.
Attach your word document for review and grading. Other file f
ormats are not accepted and will
not be graded. Use the following filename format: LastName_B
USI720_AssignmentX.docx
2.
Include an APA title block with your name, class title, date, and
the assignment number.
3.
Include a table of contents and a reference section. Number you
r pages in the footer along with
the date. Include a header starting on page 2 with the Course an
d assignment number.
4.
Write the problem number and the problem title as a level one h
eading (Example ‐ A.1.1:
Chapter 2, Problem 2.1, Check the Completed Questionnaires) a
nd then provide your response.
5.
Use level two headings with short titles for multi part questions
(Example ‐ A1.1.a, Short Title,

A1.1.b, Short Title II, etc.)
6.
Use appropriate level headings for key elements of your discuss
ion such as Research Questions,
Hypotheses, Descriptive Statistics, Assumptions & Conditions, I
nterpretation, Results, and
others. Your goal is to make your analysis easy to follow and lo
gical.
7.
Ensure that all tables and graphs are legible and include a figure
number.
8.
Carefully review your document prior to submission for formatti
ng, flow, and readability. Keep
in mind that running the statistical tests is only the first half of t
he challenge; you must be able
to clearly communicate your findings to the reader!
23 May 2018 Page 4 of 11
Assignment 1
A1.1: Chapter 2, Problem 2.1, Check the Completed Questionna
ires. Write a short narrative of your
process, and an interpretation of your findings.

A1.2: Chapter 2, Problem 2.2, Define and Label the Variables.
Write a short narrative of your process,
and an interpretation of your findings. Include a screen shot of
your Completed Variable View.
A1.3: Chapter 2, Problem 2.3, Display your Dictionary or Code
book. Write a short narrative of your
process, and an interpretation of your findings. Include a screen
shot of your Data Editor with the
updates included.
A1.4: Chapter 2, Problem 2.5, Run Descriptives and Check the
Data. Write a short narrative of your
process, and an interpretation of your findings. Cut and paste th
e Descriptive Statistics table directly into
your document and refer to it in your interpretation.
A1.5, Application Problem, Preparing Descriptive Statistics I. U
sing the “college student data.sav” file, do
the following problems. Write a short narrative of your process
and an interpretation of your findings.
Cut and paste your outputs directly into your document and refe
r to them in your interpretation.
a. Compute the N, minimum, maximum, and mean for all the var
iables in the college student data file.
b. How many students have complete data?
c. Identify any statistics on the output that are meaningful. Expl
ain your opinions.
d. What is the mean height of the students?
e. What about the average height of the same sex parent?
f. What percentage of students are male?
g. What percentage have children?

23 May 2018 Page 5 of 11
Assignment 2
A2.1: Chapter 4, Problem 4.1, Descriptive Statistics for the Ordi
nal and Scale Variables. Write a short
narrative of your process, and an interpretation of your findings.
Cut and paste the Descriptive Statistics
tables directly into your document and refer to them in your inte
rpretation.
A2.2: Chapter 4, Problem 4.2, Boxplots for One Variable and fo
r Multiple Variables. Write a short
Cut and paste the Case Processing
Summaries and Boxplots directly into your document and refer t
o them in your interpretation.
A2.3: Chapter 4, Problem 4.3, Boxplots and Stem‐and‐Leaf Plot
s Split by a Dichotomous Variable. Write a
short narrative of your process, and an interpretation of your fin
dings. Cut and paste the Case
Processing Summary, Descriptive Statistics Table, and Boxplot
directly into your document and refer to
them in your interpretation.
A2.4: Chapter 4, Problem 4.4, Descriptive Statistics for the Dic
hotomous Variables. Write a short
Cut and paste the Descriptive Statistics

table directly into your document and refer to it in your interpre
tation.
A2.5: Chapter 4, Problem 4.5, Frequency Tables for a Few Vari
ables. Write a short narrative of your
process, and an interpretation of your findings. Cut and paste th
e Descriptive Statistics table and the
Frequency Tables directly into your document and refer to them
in your interpretation.
A2.6, Application Problem, Preparing Descriptive Statistics II.
Using the “college student data.sav” file,
do the following problems. Write a short narrative of your proce
ss and an interpretation of your
findings. Cut and paste your outputs directly into your documen
t and refer to them in your
interpretation.
a. For the variables with five or more ordered levels, compute th
e skewness and describe the results.
b. Which variables in the data set are approximately normally di
stributed/scale?
c. Which ones are ordered but not normal?
d. Prepare a stem‐and‐leaf plot for the same sex parent’s height
split by gender and discuss the plots.
e. Which of the variables are nominal? Run the frequencies for t
he nominal variables and other variables
with fewer than five levels and discuss the results.
f. Prepare boxplots for student height and for hours of study. Di
scuss a comparison of the two plots.

23 May 2018 Page 6 of 11
Assignment 3
A3.1: Chapter 5, Problem 5.1, Count Math Courses Taken. Writ
e a short narrative of your process, and
an interpretation of your findings. Cut and paste Output 5.1 dire
ctly into your document and refer to it
A3.2: Chapter 5, Problem 5.2, Recode and Relabel Mother’s and
Father’s Education. Write a short
Cut and paste the Statistics Table and
Frequency Tables directly into your document and refer to them
A3.3: Chapter 5, Problem 5.3, Recode and Compute Pleasure Sc
ale Score. Write a short narrative of your
process, and an interpretation of your findings. Cut and paste O
utput 5.3a and Output 5.3b directly into
your document and refer to them in your interpretation.
A3.4: Chapter 5, Problem 5.4, Compute Parent’s Revised Educat
ion with the Mean Function. Write a
short narrative of your process, and an interpretation of your fin
dings. Cut and paste Output 5.4 directly
into your document and refer to it in your interpretation.
A3.5: Chapter 5, Problem 5.5, Check for Errors and Normality f
or the New Variables. Write a short
Cut and paste Output 5.5 directly into
your document and refer to it in your interpretation.

A3.6, Application Problem ‐ Managing Data. Using the “college
student data.sav” file, do the following
problems. Write a short narrative of your process and an interpr
etation of your findings. Cut and paste
your outputs directly into your document and refer to them in yo
ur interpretation.
a. Compute a new variable labeled “average overall evaluation”
(aveEval) by computing the average
score (evalinst + evalprog + evalphys + evalsoc)/4.
b. Compute a similar variable (meanEval) using the Mean functi
on. Compare with the aveEval score and
discuss why they differ.
c. Count the number and types of TV shows that each student w
atches.
d. Recode the “student’s current gpa” into three categories: 1 =
1.00 ‐ 1.99, 2 = 2.00 ‐ 2.99, 3 = 3.00 ‐
4.00. Produce a Frequency Table for the recoded values.
23 May 2018 Page 7 of 11
Assignment 4
A4.1: Chapter 7, Problem 7.1, Cohen’s Kappa to Assess Reliabil
ity with Nominal Data. Write a short
narrative of your process, an interpretation of your findings, and
write your results. Cut and paste the
Case Processing Summary, Crosstabulation, and Symetric Meas

ures tables directly into your document
and refer to them in your interpretation.
A4.2: Chapter 7, Problem 7.2, Correlation and Paired t to Asses
s Interrater Reliability. Write a short
Paired Sample Statistics, Paired Samples Correlations, and Paire
d Samples Test tables directly into your
document and refer to them in your interpretation.
A4.3: Chapter 7, Problem 7.3, Exploratory Factor Analysis to A
ssess Evidence for Validity. Write a short
write your results to include tables. Cut
and paste the Descriptive Statistics, Correlations, KMO and Bar
tlett’s Test, Factor Matrix, Total Variance,
and Factor Transformation Matrix tables directly into your docu
ment and refer to them in your
interpretation.
A4.4: Chapter 7, Problem 7.4, Cronbach’s Alpha to Assess Inter
nal Consistency Reliability. For each of the
following Scales; 7.4a Alpha for the Revised Competency Scale,
7.4b Alpha for the Revised Motivation
Scale, and 7.4c Alpha for the Revised Pleasure Scale, complete
the following: Write a short narrative of
your process, an interpretation of your findings, and write your
results. Cut and paste the Case
Processing Summary, Reliability Statistics, Item Statistics, Inter
‐Item Correlation Matrix, and Item‐Total
Statistics tables directly into your document and refer to them i
n your interpretation. Include
appropriate headings to clearly show each separate reliability te
st completed.

A4.5, Application Problem ‐ Measuring Reliability and Validity.
Using the “hsbdata.sav” file, do the
following problems. Write a short narrative of your process and
an interpretation of your findings. Cut
and paste your outputs directly into your document and refer to
a. Write a research question and a null hypotheses relating to th
e variables “mosaic” and “mosaic2” that
could be answered using a paired sample t test. Run the t test an
d provide a full interpretation if the
findings to include the outputs.
b. Combine “item01”, “item07”, “item12”, “item13” to form a
summated scale. Run the Cronbach’s
alpha for that scale and provide a full interpretation of the findi
ngs to include the outputs.
23 May 2018 Page 8 of 11
Assignment 5
A5.1: Chapter 8, Problem 8.1, Chi‐Square and Phi (Or Cramer’s
V). Write a short narrative of your
process, an interpretation of your findings, and write your result
s to include tables. Cut and paste the
Case Processing Summary, Crosstabulation, Chi‐Square Tests, a
nd Symetric Measures tables directly into
your document and refer to them in your interpretation.

A5.2: Chapter 8, Problem 8.2, Risk Ratios and Odds Ratios. Wri
te a short narrative of your process, an
interpretation of your findings, and write your results. Cut and p
aste the Case Processing Summary,
Crosstabulation, and Risk Estimate tables directly into your doc
ument and refer to them in your
interpretation.
A5.3: Chapter 8, Problem 8.3, Other Nonparametric Association
al Statistics. Write a short narrative of
results. Cut and paste the Case
Processing Summary, Crosstabulation, and Symetric Measures t
ables directly into your document and
refer to them in your interpretation.
A5.4: Chapter 8, Problem 8.4, Cross‐Tabulation and Eta. Write
a short narrative of your process, an
interpretation of your findings, and write your results to include
tables. Cut and paste the Case
Processing Summary, Crosstabulation, and Directional Measure
s tables directly into your document and
A5.5, Application Problem ‐ Crosstabulation and Chi‐Square. U
sing the “college student data.sav” and
“hsbdata.sav” files, do the following problems. Write a short na
rrative of your process, an interpretation
of your findings, and write your results. Cut and paste your outp
uts directly into your document and
a. Write two research questions and two null hypotheses relatin
g to the following pairs of data, run
crosstabs and interpret the results of chi‐square and phi (or Cra

mer’s V), as discussed in Chapter 6 and in
the interpretation of Output 8.1 for the following data pairs: 1)
“gender” and “marital status” and 2)
“age group” and “marital status”. Include Case Processing Sum
mary, Crosstabulation, Chi‐Square Tests,
and Symetric Measures tables and refer to them in your interpre
tation. Include a discussion of relevant
differences or similarities. Prior to running the analysis, discuss
how the data meets the assumptions
and conditions for the tests you are going to conduct. Support y
our assertion with the appropriate
descriptive statistics.
b. Write two research questions and two null hypotheses relatin
g to the following pairs of data, run
crosstabs and interpret the results of chi‐square and phi (or Cra
mer’s V), as discussed in Chapter 6 and in
the interpretation of Output 8.1 for the following data pairs: 1)
“mathach” and “calc” and 2) “mathach”
and “trig”. Include Case Processing Summary, Crosstabulation,
Chi‐Square Tests, and Symetric Measures
tables and refer to them in your interpretation. Include a discuss
ion of relevant differences or
similarities. Prior to running the analysis, discuss how the data
meets the assumptions and conditions
for the tests you are going to conduct. Support your assertion wi
th the appropriate descriptive statistics.
23 May 2018 Page 9 of 11

Assignment 6
A6.1: Chapter 9, Problem 9.1, Scatterplots to Check the Assump
tion of Linearity. Write a short narrative
of your process and interpretation of your findings. , Cut and pa
ste the Scatterplots with Regression
Lines from Output 9.1a and 9.1b directly into your document an
d refer to them in your interpretation.
A6.2: Chapter 9, Problem 9.2, Bivariate Pearson and Spearman
Correlations. Write a short narrative of
results. Cut and paste the Descriptive
Statistics, Correlations, and Nonparametric Correlations tables
directly into your document and refer to
A6.3: Chapter 9, Problem 9.3, Correlation Matrix for Several V
ariables. Write a short narrative of your
s to include tables. Cut and paste the
Descriptive Statistics and Correlations tables directly into your
document and refer to them in your
interpretation.
A6.4: Chapter 9, Problem 9.4, Bivariate or Simple Linear Regre
ssion. Write a short narrative of your
s. Cut and paste the Model Summary,
Variables Entered/Removed, ANOVA, and Coefficients tables d
irectly into your document and refer to
A6.5: Chapter 9, Problem 9.5, Multiple Regression. Write a shor
t narrative of your process, an

tables. Cut and paste the Descriptive
Statistics, Correlations, Variables Entered/Removed, Model Su
mmary, ANOVA, and Coefficients tables
directly into your document and refer to them in your interpretat
ion.
A6.6, Application Problem ‐ Correlation and Regression. Using
the “college student data.sav” file, do the
following problems. Write a short narrative of your process, an
interpretation of your findings, and write
your results to include tables. Cut and paste your outputs directl
y into your document and refer to them
a. Write a research question and a null hypothesis exploring the
relationship between student’s height
and parent’s height. Conduct a correlation analysis to test the re
lationship including a scatterplot.
Include Descriptive Statistics, Correlations, and Nonparametric
Correlations tables and refer to them in
your interpretation. Prior to running the analysis, discuss how t
he data meets the assumptions and
conditions for the tests you are going to conduct. Support your a
ssertion with the appropriate
b. Write a research questions and a null hypothesis exploring th
e relationship between student gender,
parent’s height, and student’s height to see if student’s height c
an be predicted. Conduct a regression
analysis to test the relationship. Include Descriptive Statistics,
Correlations, Variables Entered/Removed,
Model Summary, ANOVA, and Coefficients tables and refer to t
hem in your interpretation. Prior to
running the analysis, discuss how the data meets the assumption
s and conditions for the tests you are

going to conduct. Support your assertion with the appropriate de
scriptive statistics.
23 May 2018 Page 10 of 11
Assignment 7
A7.1: Chapter 10, Problem 10.1, One‐Sample t Test. Write a sho
rt narrative of your process and
interpretation of your findings. , Cut and paste the One‐Sample
Statistics and One‐Sample Test tables
ion.
A7.2: Chapter 10, Problem 10.2, Independent Samples t‐Test. W
rite a short narrative of your process, an
tables. Cut and paste the Group
Statistics, Independent Samples t Test, tables directly into your
document and refer to them in your
interpretation.
A7.3: Chapter 10, Problem 10.3, The Nonparametric Mann‐Whit
ney U Test. Write a short narrative of
results. Cut and paste the Ranks and
Test Statistics tables directly into your document and refer to th
em in your interpretation.

A7.4: Chapter 10, Problem 10.4, Paired Samples t Test. Write a
short narrative of your process, an
interpretation of your findings, and write your results. Cut and p
aste the Paired Samples Statistics and
Paired Samples Test tables directly into your document and refe
r to them in your interpretation.
A7.5: Chapter 10, Problem 10.5, Nonparametric Wilcoxen Test f
or Two Related Samples. Write a short
Wilcoxen Signed Ranks Test and Test Statistics tables directly i
nto your document and refer to them in
your interpretation.
A7.6, Application Problem ‐ Comparing Two Groups. Using the
“college student data.sav” file, do the
your results. Cut and paste your outputs directly into your docu
interpretation.
difference between genders on
student’s average height. Conduct an independent samples t test
to test the difference. Include Group
Statistics, Independent Samples t Test tables and refer to them i
n your interpretation. Prior to running
the analysis, discuss how the data meets the assumptions and co
nditions for the tests you are going to
conduct. Support your assertion with the appropriate descriptive
statistics.
b. Write two research questions and two null hypotheses explori

ng the difference between the number
of hours students study and the hours they work as well as the r
elationship between the two variables.
Conduct a paired samples t test to test the difference and the rel
ationship. Include Paired Samples
Statistics and Paired Samples Test tables and refer to them in yo
ur interpretation. Prior to running the
analysis, discuss how the data meets the assumptions and condit
ions for the tests you are going to
conduct. Support your assertion with the appropriate descriptive
statistics.
23 May 2018 Page 11 of 11
Assignment 8
A8.1a: Chapter 11, Problem 11.1, One‐Way (or Single Factor) A
NOVA. Write a short narrative of your
process and an interpretation of your findings. Cut and paste the
One‐Way Descriptives, Test of
Homogeneity of Variances, and ANOVA tables directly into you
r document and refer to them in your
interpretation.
A8.1b: Chapter 11, Problem 11.2, Post Hoc Multiple Compariso
n Tests. Write a short narrative of your
process and an interpretation of your findings. Cut and paste the
ANOVA, Post Hoc Tests, and
Homogeneous Subset tables for the Tukey HSD tests and the Ga

mes‐Howell tests directly into your
document and refer to them in your interpretation.
A8.1c: Chapter 11, Problem 11.1 & 11.2 One‐Way ANOVA wit
h Post Hoc Tests. Write the results of
Problem 11.1 and 11.2 to include tables.
A8.2: Chapter 11, Problem 11.3, Nonparametric Kruskal‐Wallis
Test. Write a short narrative of your
s. Cut and paste the Ranks and Test
Statistics tables directly into your document and refer to them i
n your interpretation.
A8.4: Chapter 11, Problem 11.4, Two‐Way (or Factorial) ANOV
A. Write a short narrative of your process,
an interpretation of your findings, and write your results to incl
ude tables. Cut and paste the Between
Subjects Factors, Descriptive Statistics, Tests of Between Subje
cts Effects, and Profile Plots tables
ion.
A8.5, Application Problem ‐ ANOVA. Using the “college studen
t data.sav” and “hsbdata.sav” files, do the
your results. Cut and paste your outputs directly into your docu
interpretation.
potential difference in the students’
scholastic aptitude test (satm) mean scores based upon ethnicity
(ethnic). Conduct a One‐Way ANOVA,
Tukey HSD Post Hoc test, and the Games‐Howell Post Hoc test

to test for the difference in mean scores.
Include One‐Way Descriptives, Test of Homogeneity of Varianc
es, ANOVA, Post Hoc Tests, and
Homogeneous Subset tables and refer to them in your interpretat
ion. Prior to running the analysis,
discuss how the data meets the assumptions and conditions for t
he tests you are going to conduct.
Support your assertion with the appropriate descriptive statistic
s.
b. Write a research question and a null hypothesis exploring the
potential difference in students’ heights
based upon gender and marital status. Examine any potential int
eraction between gender and marital
status. Conduct a Two‐Way ANOVA to test for the difference in
mean heights. Include Between Subjects
Factors, Descriptive Statistics, Tests of Between Subjects Effect
s, and Profile Plots tables and refer to
them in your interpretation. Prior to running the analysis, discus
s how the data meets the assumptions
and conditions for the tests you are going to conduct. Support y
our assertion with the appropriate

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