BUSI 820 SPSS Assignment
Quantitative Research Methods Assignment Instructions

Liberty University School of Business 30 Aug 2018

Table of Contents

General Instructions 3 Assignment: Defining Variables, Entering Data, Running Descriptives and Checking the Data 4 Assignment: Working with Variables, Z Scores, Population and Interpreting Output 5 Assignment: Computing and Recoding, Checking for Normality and Managing Data 6 Assignment: Assessing Reliability with Nominal Data, Exploratory Factor Analysis and Cronbach’s Alpha 7 Assignment: Analyzing Chi-Square, Phi (Or Cramer’s V) and Writing Research Questions 8 Assignment: Examining Bivariate Pearson, Spearman Correlations and Linear Regression 9 Assignment: One Sample and Paired Sample t-Tests, and Group Comparison 10 Assignment: One-Way ANOVA and Nonparametric Kruskal-Wallis Test 11

BUSI 820, Quantitative Research Methods

Assignment Instructions

30 August 2018

Page 10 of 11

General Instructions
For each Assignment:

1. Attach your word document for review and grading. Other file formats are not accepted andwill not be graded. Use the following filename format: LastName_BUSI820_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 your pages in the footer alongwith the date. Include a header starting on page 2 with the Course and assignment number.

4. Write the problem number and the problem title as a level one heading (Example ? A.1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires) and then provide yourresponse.

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 discussion such as Research Questions, Hypotheses, Descriptive Statistics, Assumptions & Conditions, Interpretation, Results, and others. Your goal is to make your analysis easy to follow and logical.

7. Ensure that all tables and graphs are legible and include a figure number.

8. Carefully review your document prior to submission for formatting, flow, and readability. Keep in mind that running the statistical tests is only the first half of the challenge; you must be able to clearly communicate your findings to the reader!

Assignment: Defining Variables, Entering Data, Running Descriptives and Checking the Data
A1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires. 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 Codebook. Write a short narrative of your process. Include a screen shot of your Codebook.

A1.3: Chapter 2, Problem 2.4, Enter Data. Write a short narrative of your process. 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 the Descriptive Statistics table directly into your document and refer to it in your interpretation.

A1.5, Application Problem, Preparing Descriptive Statistics I. Using 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 refer to them in your interpretation.

a. Compute the N, minimum, maximum, and mean for all the variables in the college student data file.

b. How many students have complete data?

c. Identify any statistics on the output that are not meaningful. Explain 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?

Assignment: Working with Variables, Z Scores, Population and Interpreting Output
A2.1: Chapter 4, Problem 4.1, Descriptive Statistics for the Ordinal 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 interpretation.

A2.2: Chapter 4, Problem 4.2, Boxplots for One Variable and for Multiple Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Case Processing Summaries and Boxplots directly into your document and refer to them in your interpretation.

A2.3: Chapter 4, Problem 4.3, Boxplots and Stem?and?Leaf Plots Split by a Dichotomous Variable. Writea short narrative of your process, and an interpretation of your findings. 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 Dichotomous Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Descriptive Statistics table directly into your document and refer to it in your interpretation.

A2.5: Chapter 4, Problem 4.5, Frequency Tables for a Few Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the 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 process and an interpretation of your findings. Cut and paste your outputs directly into your document and refer to them in your interpretation.

a. For the variables with five or more ordered levels, compute the skewness and describe the results.

b. Which variables in the data set are approximately normally distributed/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 theplots.

e. Which of the variables are nominal? Run the frequencies for the 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. Discuss a comparison of the two plots.

Assignment: Computing and Recoding, Checking for Normality and Managing Data
A3.1: Chapter 5, Problem 5.1, Count Math Courses Taken. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 5.1 directly into your document and refer to it in your interpretation.

A3.2: Chapter 5, Problem 5.2, Recode and Relabel Mother’s and Father’s Education. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Statistics Table and Frequency Tables directly into your document and refer to them in your interpretation.

A3.3: Chapter 5, Problem 5.3, Recode and Compute Pleasure Scale Score. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 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 Education with the Mean Function. Write a short narrative of your process, and an interpretation of your findings. 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 for the New Variables. Write a short narrative of your process, and an interpretation of your findings. 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 interpretation of your findings. Cut and paste your outputs directly into your document and refer to them in your 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 function. Compare with the aveEval score and discuss why they differ.

c. Count the number and types of TV shows that each student watches.

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.

Assignment: Assessing Reliability with Nominal Data, Exploratory Factor Analysis and Cronbach’s Alpha
A4.1: Chapter 7, Problem 7.1, Cohen’s Kappa to Assess Reliability 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 Measures tables directly into your document and refer to them in your interpretation.

A4.2: Chapter 7, Problem 7.2, Correlation and Paired t to Assess Interrater Reliability. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Paired Sample Statistics, Paired Samples Correlations, and Paired 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 Assess Evidence for Validity. Write a short narrative of your process, an interpretation of your findings, and write your results to include tables. Cut and paste the Descriptive Statistics, Correlations, KMO and Bartlett’s Test, Factor Matrix, Total Variance, and Factor Transformation Matrix tables directly into your document and refer to them in your interpretation.

A4.4: Chapter 7, Problem 7.4, Cronbach’s Alpha to Assess Internal 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 in your interpretation. Include appropriate headings to clearly show each separate reliability test 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, an interpretation of your findings, and your results. Cut and paste your outputs directly into your document and refer to them in your interpretation. Write the results.

a. Write a research question and a null hypotheses relating to the variables “mosaic” and “mosaic2” that could be answered using a paired sample t test. Run the t test and 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 findings to include the outputs.

Assignment: Analyzing Chi-Square, Phi (Or Cramer’s V) and Writing Research Questions
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 results to include tables. Cut and paste the Case Processing Summary, Crosstabulation, Chi?Square Tests, and 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. 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 Risk Estimate tables directly into your document and refer to them in your interpretation.

A5.3: Chapter 8, Problem 8.3, Other Nonparametric Associational Statistics. 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 Measures tables 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 Measures tables directly into your document and refer to them in your interpretation.

A5.5, Application Problem ? Crosstabulation and Chi?Square. Using the “college student data.sav” and “hsbdata.sav” files, do the following problems. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste your outputs directly into your document and refer to them in your interpretation.

A5.5a. Write two research questions and two null hypotheses relating to the following pairs of data, run crosstabs and interpret the results of chi?square and phi (or Cramer’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”. Before beginning the test, recode marital status to BinaryMarital where Single and Divorced (1 & 3) are listed as Single (1) and Married (2) is listed as Married (2).

Include Case Processing Summary, Crosstabulation, Chi?Square Tests, and Symetric Measures tables and refer to them in your interpretation. 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 your assertion with the appropriate descriptive statistics.

A5.5b. Write two research questions and two null hypotheses relating to the following pairs of data, run crosstabs and interpret the results of chi?square and phi (or Cramer’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”. Before beginning the test, recode math achievement into two groups HighAch and LowAch using the median score as the dividing point.

Include Case Processing Summary, Crosstabulation, Chi?Square Tests, and Symetric Measures tables and refer to them in your interpretation. 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 your assertion with the appropriate descriptive statistics.

Assignment: Examining Bivariate Pearson, Spearman Correlations and Linear Regression
A6.1: Chapter 9, Problem 9.1, Scatterplots to Check the Assumption of Linearity. Write a short narrative of your process and interpretation of your findings. , Cut and paste the Scatterplots with Regression Lines from Output 9.1a and 9.1b directly into your document and refer to them in your interpretation.

A6.2: Chapter 9, Problem 9.2, Bivariate Pearson and Spearman Correlations. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Descriptive Statistics, Correlations, and Nonparametric Correlations tables directly into your document and refer to them in your interpretation.

A6.3: Chapter 9, Problem 9.3, Correlation Matrix for Several Variables. Write a short narrative of your process, an interpretation of your findings, and write your results 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 Regression. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Model Summary, Variables Entered/Removed, ANOVA, and Coefficients tables directly into your document and refer to them in your interpretation.

A6.5: Chapter 9, Problem 9.5, Multiple Regression. Write a short narrative of your process, an interpretation of your findings, and write your results to include tables. Cut and paste the Descriptive Statistics, Correlations, Variables Entered/Removed, Model Summary, ANOVA, and Coefficients tables directly into your document and refer to them in your interpretation.

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 directly into your document and refer to them in your interpretation.

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 relationship 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 the data meets the assumptions and conditions for the tests you are going to conduct. Support your assertion with the appropriate descriptive statistics.

b. Write a research questions and a null hypothesis exploring the relationship between student gender, parent’s height, and student’s height to see if student’s height can be predicted. Before beginning the

test, recode gender (1 = male, 2 = female) to “Male” (1 = male, 0 = not male).

Explain why recoding gender “Male” was necessary to run this test. Conduct a regression analysis to test the relationship. Include Descriptive Statistics, Correlations, Variables Entered/Removed, Model Summary, ANOVA, and Coefficients tables and refer to them in your interpretation. 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 with the appropriate descriptive statistics.

Assignment: One Sample and Paired Sample t-Tests, and Group Comparison
A7.1: Chapter 10, Problem 10.1, One?Sample t Test. Write a short narrative of your process and

interpretation of your findings. , Cut and paste the One?Sample Statistics and One?Sample Test tables directly into your document and refer to them in your interpretation.

A7.2: Chapter 10, Problem 10.2, Independent Samples t?Test. Write a short narrative of your process, an interpretation of your findings, and write your results to include 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?Whitney U Test. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Ranks and Test Statistics tables directly into your document and refer to them 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 paste the Paired Samples Statistics and Paired Samples Test tables directly into your document and refer to them in your interpretation.

A7.5: Chapter 10, Problem 10.5, Nonparametric Wilcoxen Test for Two Related Samples. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Wilcoxen Signed Ranks Test and Test Statistics tables directly into your document and refer to them in your interpretation.

A7.6, Application Problem ? Comparing Two Groups. Using the “college student data.sav” and “hsbdata.sav” files, do the following problems. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste your outputs directly into your document and refer to them in your interpretation.

a. Write a research question and a null hypothesis exploring the difference between genders on student’s average height from the “college student data.sav” file. Conduct an independent samples t

test to test the difference. Include Group Statistics, Independent Samples t Test tables and refer to them in your interpretation. 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 with the appropriate descriptive statistics.

b. Write a research questions and a null hypotheses exploring the difference between raters in the mosaic pattern test score between rater 1 and rater 2 in the “hsbdata.sav” file. Conduct a paired samples t test to test the for possible differences between the raters. Include Paired Samples Statistics and Paired Samples Test tables and refer to them in your interpretation. 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 with the appropriate descriptive statistics.

Assignment: One-Way ANOVA and Nonparametric Kruskal-Wallis Test
A8.1a: Chapter 11, Problem 11.1, One?Way (or Single Factor) ANOVA. 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 your document and refer to them in your interpretation.

A8.1b: Chapter 11, Problem 11.2, Post Hoc Multiple Comparison 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 Games?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 with 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 process, an interpretation of your findings, and write your results. Cut and paste the Ranks and Test Statistics tables directly into your document and refer to them in your interpretation.

A8.3: Chapter 11, Problem 11.4, Two?Way (or Factorial) ANOVA. Write a short narrative of your process, an interpretation of your findings, and write your results to include tables. Cut and paste the Between Subjects Factors, Descriptive Statistics, Tests of Between Subjects Effects, and Profile Plots tables directly into your document and refer to them in your interpretation.

A8.4, Application Problem ? ANOVA. Using the “college student data.sav” and “hsbdata.sav” files, do the following problems. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste your outputs directly into your document and refer to them in your interpretation.

a. Write a research question and a null hypothesis exploring the 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 meanscores. Include One?Way Descriptives, Test of Homogeneity of Variances, ANOVA, Post Hoc Tests, and Homogeneous Subset tables and refer to them in your interpretation. 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 with the appropriate descriptive statistics.

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 interaction 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 Effects, and Profile Plots tables and refer to them in your interpretation. 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 with the appropriate descriptive statistics.

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