Statistics Paper Needed

elementary_statistics_syllabus_fall_2016-1.doc

Home >Social Science homework help >Statistics Paper Needed

Elementary Statistics

Course Outline

What this course is about....

The purpose of this class is to provide an opportunity for the student to learn how sociologists and other researchers analyze data they collect in conducting research. This course is designed to introduce techniques used to analyze quantitative research data. Emphasis will be placed on the basic concepts of quantitative analysis including models used to explore causality, an introduction to multivariate analysis, and the use of statistical software. The course will focus on understanding, applying, and interpreting statistical techniques, rather on the derivations of methods or performance of calculations.

This course is viewed as a course in data analysis, not a course in statistics, per se. It is an applied course with special attention on the use of statistical software, SPSS in particular, in analyzing research data. Emphasis is placed on the selection of appropriate statistical procedures in the analysis of research data, and the interpretation of the results of the subsequent analyses.

The course provides an introduction to the use of statistical methods from the points of views of both consumers and producers of statistics. The course requires no prior experience with statistics, advanced mathematics, or computing.

At the end of this course, the student should be able to:

1. Understand the reasoning by researchers used statistics in conducting research.

2. Carry out commonly used univariate, bivariate and multivariate statistical procedures utilizing SPSS.

3. Interpret and make sense of statistical information reported in newspapers and magazines.

4. Become both a user and a consumer of basic statistical techniques that are commonly used in contemporary research in the social and behavioral sciences.

5. Demonstrate an understanding of the following:

· Distinction between descriptive and inferential statistics and their applications.

· Goals and logic of statistical inference and hypothesis testing

· The basic procedures for developing a research question, selecting procedures and carrying out a research project.

· Application of appropriate statistical techniques to basic and applied research in sociology and related disciplines.

6. Interpret statistical results involving univariate, bivariate, and multivariate statistical analysis.

7. Write a research report presenting the results of typical statistical analyses performed in social and behavioral research.

What textbooks are used in the course...

There is no required textbook to be purchased for this course. However, there are a number of elementary statistics textbooks available in the University libraries that students may use to review topics covered in the course. Examples of relevant textbooks that may be used are listed below:

Aron, Arthur & Elaine N Aron. 2007. Statistics for the Behavioral and Social Sciences. 4th edition. Engleton Cliffs: Prentice Hall. ISBN-13: 978-0131562783.

Bluman, Allan. 2008. Elementary Statistics: A Step by Step Approach. 7th edition. New York: McGraw-Hill Science/Engineering/Math. ISBN-13: 978-0077302351.

Brase, Charles Henry. 2006. Understanding Basic Statistics. 4th edition. Brooks Cole. ISBN-13: 978-0618632275.

Cronk, Brian C. (2008) How to Use SPSS: A Step-by-Step Guide to Analysis and Interpretation 5th edition. Glendale, CA: Pyrczak Publishing.

Levin, Jack A., James Alan Fox David R Forde. 2009. Elementary Statistics in Social Research. 11th edition. Allyn & Bacon. ISBN-13: 978-0205570690.

Field, Andy. 2009. Discovering Statistics Using SPSS. 3rd edition. Three Oak, CA: Sage Publications. ISBN-13: 978-1847879073.

Frankfort-Nachmias, Chava & Anna Leon. 2008. Social Statistics for a Diverse Society. 5th edition Pine Forge Press. ISBN-13: 978-1412968249.

Gravetter, Frederick J & Larry B Wallnau. 2008. Statistics for the Behavioral Sciences. 8th edition. Belmont, CA: Wadsworth Publishing. ISBN-13: 978-0495602200.

Healey, Joseph F. 2008. Statistics: A Tool for Social Research. 8th edition. Belmont, CA: Wadsworth Publishing. ISBN-13: 978-0495096559.

Hinkle, Dennis E. 2002. Applied Statistics for the Behavioral Sciences. 5th edition. Belmont, CA: Wadsworth Publishing. ISBN-13: 978-0618124053.

Howell, David C. 2007. Fundamental Statistics for the Behavioral Sciences. 6th edition. Belmont, CA: Wadsworth Publishing. ISBN-13: 978-0495099000.

Jaisingh, Lloyd. 2005. Statistics for the Utterly Confused. 2nd edition. New York: McGraw-Hill. ISBN-13: 978-0071461931.

Johnson Richard A. 2005. Statistics: Principles and Methods. 5th edition. New York: Wiley. ISBN-13: 978-0471656821.

Knoke, David. 2002. Statistics for Social Data Analysis. 4th edition. Belmont, CA: Wadsworth Publishing. ISBN-13: 978-0135085073.

Mann, Prem S. 2006. Introductory Statistics. 6th edition. New York: Wiley. ISBN-13: 978-0471755302.

Moore, David S. 2009. The Basic Practice of Statistics. 5th edition. W H Freeman. ISBN-13: 978-1429224260.

Pallant, Julie. 2013. SPSS Survival Manual. A Step by Step Guide to Data Analysis Using IBM SPSS. 5th edition. Open University Press.

Peck, Roxy. 2007. Statistics: The Exploration & Analysis of Data. 6th edition. Duxbury Press. ISBN-13: 978-0495390879.

Salkind, N. J. (2008). Statistics for People Who (Think They) Hate Statistics. 3rd edition. Thousand Oak, CA: Sage Publications. ISBN: 978 1 4129 5151 7.

Sullivan, Michael. 2008. Statistics: Informed Decisions Using Data. 3rd edition. Engleton Cliffs: Prentice Hall. ISBN-13: 978-0321568021.

Triola, Mario F. 2009. Elementary Statistics (11th Edition). 11th edition. Reading Mass.: Addison Wesley. ISBN-13: 978-0321500243.

Welkowitz, Joan. 2006. Introductory Statistics for the Behavioral Sciences. 6th edition New York: Wiley. ISBN-13: 978-0471735472.

How to contact me....

If you have any questions or concerns about the subject matter or your performance in this course, I urge you to contact me. My contact information is below.

Office: Room 212D, Douglass Hall

Office Hours: M 5:00 to 6:00; TW 4:00 to 5:00; or by appointment

Office Phone: 202 806-6853

E-mail address: [email protected]

What you will be expected to do ...

You are expected to do the following:

· Students are expected to become familiar with elementary statistical procedures and concepts that are used in the analysis of research data.

· Attend and actively participate in all classes the entire duration of the class period. If you are uncomfortable about speaking in public, you will be given other opportunities to participate. For example, you can meet with me outside of class to talk. You can e‑mail me your thoughts and reactions and I will try to integrate them into the course.

· Answer all the items listed in the syllabus before their scheduled class discussion date and come to class prepared to discuss them. You should come to class prepared to discuss the items, make inquiry regarding any ambiguity, and respond to questions that are asked regarding them.

· Show respect for everyone in the classroom. You don't have to agree with everything your classmates or instructor says, but you are expected to be respectful at all times.

· Take detailed notes while in class. At times modifications will be made to the definitions of concepts in the textbook. Moreover, often information will be presented that is not in the textbook. Each student is responsible to take good notes, and ask questions about anything that is unclear.

· Re-write and study your notes before the next class session. A good study technique is to re-write notes taken in class, add information from the textbook, and read these revised notes at least two times before coming to class and at least five times before taking the examination that covers them.

· Obtain notes from other students if you happen to miss a class. Absence from class, regardless of the reasons, is not an excuse for not being prepared to discuss the assigned topics.

· Let me and the Dean for Special Student Services know if you need special American Disabilities Act (ADA) considerations.

Howard University is committed to providing an educational environment that is accessible to all students. In accordance with this policy, students who need accommodations because of a disability should contact Dr. Barbara Williams, Dean for Special Student Services (202-238-2420), as soon as possible after admission to the University or at the beginning of each semester. If you need a special accommodation required by the American Disabilities Act, please document and discuss your disability with me during the FIRST TWO WEEKS of classes.

· Take and pass all examinations. If students follow the study tips above, he/she should not have a problem earning a least a grade of (B( for the course.

· Read, re-read, and re-read all hand-outs passed out in class.

· Complete all assignments in a timely manner.

· Each student is expected to participate in a campus survey. The questionnaire used in this survey will be prepared by students in the Sociological Methods class. Each student in this class is expected to obtain thirty (30) completed questionnaires, and key the data collected into SPSS. The data collected by all students will be combined and used to write a research paper for the class. The student is expected to use one of the questions in the questionnaire as a dependent variable, select relevant independent variables, conduct an analysis of the relationships among the variables selected, and write a report describing the methodology, findings, conclusion, and implications of the research. Examples of the type of research report expected are articles published in professional journals reporting the results of research, such as, the American Journal of Sociology, Social Forces, Social Problems, etc. Specific tasks are the following:

· Select students via the class sampling procedures and secure the target number of completed questionnaires

· Key the data collected into SPSS

· Analyze the data using statistical procedures in SPSS testing one’s hypotheses.

· Write a report of procedures used and findings of one’s study

The research report should have the following sections:

Cover page: Title (should be a KISS-ME title), author, course title, date.

Introduction: This should be a brief description (two paragraphs) of the background of the research problem.

Research Problem: This section should include description of the following:

Statement of the problem (one sentence)

Nature of the problem (one to two paragraphs providing additional details about problem)

Significance of the problem (two paragraphs, focusing on practical significance and scientific significance of the problem)

Hypothesis and Theory: This section should include description of the following:

Hypothesis (one sentence)

Justification for the hypothesis (two paragraphs)

Analytical model (Figure 1)

Description of one’s analytical model (one paragraph)

Methodology: This section should include description of the following:

Research design employed (one paragraph)

Detailed description of the research design employed and its advantages and disadvantages

Selection of the study participants design (one paragraph)

Detailed description of how study participants were selected and the advantages and disadvantages of the procedures used

Data collection design (three to four paragraphs)

Detailed description of the procedures and instrument used in collecting the data. Questionnaire items used must be described verbatim. The advantages and disadvantages of the procedures used must be described.

Data analysis design (two paragraphs)

Detailed description of the statistical procedures used in analyzing the data.

Findings: This section should include description of the following:

Univariate analysis: (one page)

Table 1, Frequency and percentage distribution of your dependent variable)

Bivariate analyses: (two pages)

Table 2, Percentage distribution of the dependent variable by your key independent variable

Results of chi square test

Results of independent samples t-test

Results of ANOVA (Table 3)

Table 4, Matrix of correlation of variables in your analytical model

Multivariate analysis: (one page)

Table 5, Results of the regression of your dependent variable on a regression model consisting of all of the independent variables in your analytical model

Extra credit options:

Partial correlation of DV and key IV controlling for antecedent IVs and intervening IVs

Two-way ANOVA

Stepwise multiple regression analysis

Discussion: This section should include description of the relationship between your hypothesis and your findings (two to four paragraphs)

Conclusion: This section should include a concluding statement for your study (one sentence)

What you will be expected not to do...

· Turn on cell phones while in class. Class participation points will be subtracted from each student using a cell phone while in class.

· Have private conversations while in class. Class participation points will be subtracted from each student engaging in private conversation with other students regardless what is the purpose of the conversation.

· Disrupt the class by text-messaging, listing to music, chatting with your neighbor, or surfing the Internet. Such behavior will result in a loss of class participation points.

· Communicate with anyone except the instructor during an examination. This means persons sitting next to you for any purpose. Any conversation will result in a grade of “0” for the exam.

· Leave the classroom for any purpose during the exam. If you have a medical condition that requires you to use the restroom, you must have a letter from a doctor indicating such a need. Simply getting up and walking out of the classroom is not tolerated.

· Violate the Academic Code of Student Conduct:

Academic cheating (any intentional act(s) of dishonesty in the fulfillment of academic course or program requirements. This offense shall include (but is not limited to) utilization of the assistance of any additional individual(s), organization, document, or other aid not specifically and expressly authorized by the instructor or department involved. (Note: This infraction assumes that with the exception of authorized group assignments or group take-home assignments, all course or program assignments shall be completed by an individual student only without any consultation or collaboration with any other individual, organization, or aid.).

Plagiarism (to take and pass off intentionally as one's own the ideas, writings, etc. of another without attribution (without acknowledging the author). To clarify, here are some examples of plagiarism:

· Copying essays or papers from friends

· Copying paragraphs or sentences out of books

· Cutting and pasting paragraphs, sentences from the Internet

· Downloading or purchasing papers off of the Internet

Penalties. The minimum disciplinary penalty imposed upon a student found to have committed an infraction(s) of this Code shall be no credit for the course assignment or examination in which the infraction(s) occurred; however, a more severe penalty, such as failure in the course involved or suspension from the University, may be imposed depending upon the nature and extent of the infraction(s).

How will your final grade be computed...

The final grade will be computed as follows:

Weight

Quizzes 10%

Assignments 10%

All assignments are graded on a pass/fail

basis. Late assignments are not accepted;

no exceptions.

Research report 20%

Graduating seniors: Due 11/30/2016

Others: Due 12/14/2016

Examinations

First examination, Sept. 28th 20%

Second examination, Nov. 9th 20%

Final examination 20%

Graduating seniors: Nov. 30th

Others: Dec. 14th

Extra credit paper 0 to 10 points added to overall average

All examinations are comprehensive examinations. Examinations will cover all handouts, lectures, and assignments. Typical examination questions are listed throughout this syllabus. Typically, once exams are graded, they are returned to students two weeks after the exam.

No make-up exams will be given irrespective of the reason for missing an exam. If one misses an examination for any reason whatsoever, one’s exam grade will be a zero. All students will have the option to drop the lower grade of the first two exams and count the final exam 40 percent of their final grade.

Several pop quizzes will be given throughout the semester. They may be given at the beginning of a class, at the end of a class, or both; and may be oral or in writing. Pop quizzes may cover any topic discussed in class at any time during the semester.

Extra credit:

One also has the option to incorporate additional statistical procedures in one’s research paper that are not required to be included. Such statistical procedures include the following:

· Two-way analysis of variance

· Partial correlation

· Stepwise regression analysis

· Univariate and bivariate and graphs

These procedures will be reviewed at the end of the semester. They are described in Pallant (2013) SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS, and many other statistics textbooks.

Outline of topics…

Overview of topics to be covered:

Week Topic

1 Part One: Introduction

Introduction to the course

Overview of statistics

Overview of the research process

2 Step 1. Identify the research problem

Step 2. Develop hypotheses and theory

Step 3. Construct an analytical model

3 Step 4. Construct research design

Step 5. Select study participants

4 Step 6. Collect data

Review for first exam

5 First exam

Collect data for the fall 2016 campus survey

Part Two: Preparation of Data for Analysis

Step 7. Analyze data

Step 7.1 Preparation of data for analysis

Step 7.1.1 Edit questionnaires

Step 7.1.2 Code data

6 Step 7.1.3 Create computer data file

Step 7.1.4 Data entry

Step 7.1.5 Clean the data

7 Step 7.1.6 Exploratory graphical analyses

Step 7.1.7 Assessment of data quality

Step 7.1.8 Data modification and reduction

8 Part Three: Descriptive Research Questions

Step 7.2 Univariate analyses

Distribution statistics

Measures of central tendency

Measures of dispersion

9 Second exam

10 Part Four: Relationship Research Questions

Step 7.3 Bivariate analyses

Crosstabulation

Zero-order correlation

11 Step 7.4 Multivariate analyses

Partial correlation

Multiple correlation

Multiple regression

12 Part Five: Comparative Research Questions

Step 7.3 Bivariate analyses

T-tests

13 ANOVA

14 Part Six: Assessment of Findings and Report Writing

Step 8. Interpret findings

Step 9. Draw conclusions and write report

Step 10. Apply findings

15 Final exam

16 Research report due

Detailed outline

PART ONE: INTRODUCTION

Week 1:

August 24th

Topics to the covered:

Introduction to the course

Requirements

Grading procedures

Overview of the research process

Overview of statistics

What is statistics?

What are the major classes of statistics?

Questions that should be answered:

1. Is it important that you understand how to use statistics? Why, or why not?

2. How are statistics used in your field of study?

3. What is the difference between descriptive and inferential statistics?

4. List several examples of descriptive statistics and inferential statistics.

5. What are the major steps in conducting a research project?

6. What are the principal tasks of each step?

Assignment 1:

This assignment must be submitted in Microsoft Word and submitted via email by its due date. Review any five (5) textbooks on elementary statistics. For each book you reviewed, create a Word file containing the following information:

Name of author(s)

Year of publication

Title

Place of publication

Publisher

Detailed listing of the table of contents

Due date: Midnight, August 29, 2016

Week 2:

August 31st

Topics to the covered:

Step 1. Identify the research problem

Step 2. Develop hypotheses and theory

Step 3. Construct an analytical model

Dependent variable

Key independent variable

Antecedent variables

Intervening variables

Other causes of the dependent variable

Other causes of the key independent variable

Other effects of the key independent variable

Questions that should be answered:

1. What are the three major types of research problems, and how do they differ from each other? Provide several examples of each type.

2. What is the relationship between the type of research problem and the type of statistics used in a study?

3. What is a hypothesis?

4. What are the major types of hypotheses? Provide several examples of each type.

5. What is the difference between a null hypothesis and an alternative hypothesis?

6. What is a theory?

7. What are the functions of theories in social and behavioral research?

8. What is an analytical model?

9. What is the purpose of an analytical model?

10. What are the rules for constructing an analytical model?

11. Distinguish and provide examples of the following types of variables:

Dependent variable

Key independent variable

Antecedent variables

Intervening variables

Other causes of the dependent variable

Other causes of the key independent variable

Other effects of the key independent variable

Assignment 2:

This assignment must be submitted in Microsoft Word and submitted via email by its due date.

1. Identify any research study of your interest addressing a relationship research question published in a journal in the social and behavioral sciences. For the research study you selected, perform the following tasks:

2. Provide the following bibliographic information:

a. Name of author(s)

b. Year of publication

c. Title of article

d. Name of journal

e. Volume

f. Page numbers

3. Describe the research problem of the research.

4. Construct an analytical model in Microsoft Word representing the relationship among the variables in the study.

5. Identify which of the variables in the study are representative of the following types of variables:

Dependent variable

Key independent variable

Antecedent variables

Intervening variables

Other causes of the dependent variable

Other causes of the key independent variable

Other effects of the key independent variable

Due date: Midnight, September 5, 2016

Week 3:

September 7th

Topics to the covered:

Step 4. Construct research design

Step 5. Select study participants

Questions that should be answered:

1. What is a research design?

2. What are the major components of a research design?

3. What are the major types of research designs?

4. What is the relationship between the type of research design that is employed and the type of statistical procedures that are used in a study?

5. What is the relationship between the type of research design that is employed and the type of statistical procedures that are used in a study?

6. Define and provide examples of the following:

a. Experimental research

b. Non-experimental research

7. What are the major ways social and behavioral scientists select study participants?

8. Distinguish the following procedures for selecting study participants:

a. Census

b. Sampling

c. Probability sampling

d. Simple random sampling

e. Stratified sampling

f. Cluster sampling

g. Multistage sampling

h. Nonprobability sampling

i. Availability sampling

j. Purposive sampling

k. Quota sampling

l. Respondent-assisted sampling

9. What is the relationship between the procedures a social and behavioral scientist used to select the participants in his/her study and the statistical procedures in the study? Illustrate using the sampling procedures listed above.

Assignment 3:

This assignment must be submitted in Microsoft Word and submitted via email by its due date.

2. Provide the following bibliographic information:

a. Name of author(s)

b. Year of publication

c. Title of article

d. Name of journal

e. Volume

f. Page numbers

3. Describe the procedures the researcher(s) used to select study participants.

4. What justifications did the author(s) provide for the use to the procedures used?

Due date: Midnight, September 12, 2016

Week 4:

September 14th

Topics to the covered:

Step 6. Collect data

Questions that should be answered:

1. What are the principal ways social and behavioral scientists collect data in conducting their research?

2. Distinguished the following levels of measurement:

a. Level of measurement

b. Nominal data

c. Ordinal data

d. Interval data

e. Ratio data

3. Distinguish: theoretical definition versus operational definition

4. Why is it important to take into account the level of measurement of the data to be analyzed in determining the appropriateness of different types of statistical procedures to conduct the analyses?

Assignment 4:

This assignment must be submitted in Microsoft Word and submitted via email by its due date.

2. Provide the following bibliographic information:

Name of author(s)

Year of publication

Title of article

Name of journal

Volume

Page numbers.

3. Describe the operational definition the researchers used in measuring any three variables employed in the study.

4. Describe the statistical procedures used in the research.

5. What, if any, relationships you can identify between the procedures used to select study participants, the operational definitions used in the study, and the statistical procedures used in the study?

Due date: Midnight, September 19, 2016

PART TWO: PREPARATION OF DATA FOR ANALYSIS

Week 5:

September 21nd

Topics to the covered:

Step 7. Analyze data

Data analysis flow:

Preparation of data for analysis

Univariate analysis

Bivariate analysis

Multivariate analysis

Step 7.1 Preparation of data for analysis

Step 7.1.1 Edit questionnaires

Step 7.1.2 Code data

Questions that should be answered:

1. What rules are typically used in editing data?

2. What is a codebook?

3. What should be included in a codebook?

4. What conventions are used in coding data?

Assignment 5:

Collect data for the fall 2016 campus survey

Coding exercise

Due date: Midnight, September 26, 2016

Week 6:

September 28th

Topics to the covered:

First examination

Step 7.1.3 Create computer data file

Step 7.1.4 Data entry

Step 7.1.5 Clean the data

Questions that should be answered:

1. What are the steps in creating a SPSS data file?

2. What factors should be considered in determining the names of variables in creating SPSS databases?

3. What are the different types of variables in SPSS?

4. How should the width of variables be determined?

5. What are value labels and variable labels?

6. What are missing data? What are the different types of missing data?

7. How should one determine the column width?

8. How should a researcher clean the data collected in a research study?

9. What are the stages of data cleaning?

10. What SPSS commands would you use to carry out these stages?

11. How might one use SPSS to measure and correct the following:

a. Interviewer or data collector bias

b. Missing data bias

c. Sampling bias

Assignment 6: iLab assignment

Continuation of collection and data entry of campus survey data.

Create a SPSS database for the fall 2016 campus survey. Key data into data file. Clean data file. Email the SPSS file by the deadline below.

Due date: Midnight, October 3, 2016

Week 7:

October 5th

Topics to the covered:

Step 7.1.6 Exploratory graphical analyses

Step 7.1.7 Assessment of data quality

Step 7.1.8 Data modification and reduction

SPSS commands: Compute, recode, count, and if statements

Questions that should be answered:

1. How would you create an index using variables that have the same scale?

2. How would you create an index using variables that have different scales?

3. What is a dummy variable, and how is such a variable used in assessing data quality, missing data effects, etc.

4. Give examples using the following SPSS commands in modifying and reducing data: compute, recode, count, and if statements.

Assignment 7: iLab assignment

Data modification and reduction exercises.

Due date: Midnight, October 10, 2016

PART THREE: DESCRIPTIVE RESEARCH QUESTIONS

Week 8:

October 12th

Topics to the covered:

Step 7.2 Univariate Analyses

Distribution statistics

Measures of central tendency

Measures of dispersion

7.2.1 Descriptive statistics

7.2.1.1 Frequency and percentage distributions

7.2.1.2 Measures of central tendency: mean, median, mode

7.2.1.3 Measures of dispersion: range, IQR, semi IQR, standard deviation, variance

7.2.2 Inferential statistics

7.2.2.1 z test, margin of error, confidence interval

7.2.2.2 chi square test

7.2.3 Graphics

Questions that should be answered:

1. How would one generate a univariate frequency and percentage distribution using SPSS?

2. Construct a report‑ready table showing a frequency and percentage distribution.

3. Describe the patterns in the above table.

4. Define and describe how the following are calculated:

a. Mean, median, mode

b. Range, average deviation, IQR, semi IQR, standard deviation, variance

c. Standard error of the mean

5. How would one create and edit a chart in SPSS?

6. Construct a report‑ready table showing a frequency and percentage distribution.

7. Describe the patterns in the table you created

8. Distinguish the following

a. Percent, valid percent, cumulative percent

b. Data view, variable view

c. Data file, syntax file, output file

Assignment 8: iLab assignment

Measures of central tendency analyses

Measures of dispersion analyses

Distributional statistics analyses

Due date: Midnight, October 17, 2016

Week 9:

October 19th

Topics to the covered:

Second examination

Assignment 9: iLab assignment

Using graphs in analyzing data assignment

Due date: Midnight, October 24, 2016

PART FOUR: RELATIONSHIP RESEARCH QUESTIONS

Week 10:

October 26th

Topics to the covered:

Step 7.3 Bivariate analyses

Crosstabulation

Zero-order correlation

Questions that should be answered:

1. How would one generate a crosstabulation using SPSS?

2. When should one request row percentages, column percentages, and total percentages?

3. What is the chi square test, and how would one carry out the test for a bivariate crosstabulation?

4. What correlation procedures are appropriate for the nominal data, ordinal data, and interval or ratio data?

5. Describe the SPSS output of a correlation analysis.

Assignment 10: iLab assignment

Crosstabulation and correlation exercises

Due date: Midnight, October 31, 2016

Week 11:

November 2nd

Topics to the covered:

Step 7.4 Multivariate analyses

Partial correlation

Multiple correlation

Multiple regression

Questions that should be answered:

1. What are the assumptions of regression analysis?

2. What is the difference between regression analysis and correlation?

3. Define the following terms and described how the statistics are used in research:

a. Unstandardized regression coefficient

b. Standardized regression coefficient

c. Multiple correlation coefficient

4. Distinguish the different types of regression.

Assignment 11: iLab assignment

Multiple regression exercises

Due date: Midnight, November 7, 2016

PART FIVE: COMPARATIVE RESEARCH QUESTIONS

Week 12:

November 9th

Topics to the covered:

Second examination

Bivariate analyses

T-tests

Questions that should be answered:

1. What are the various types of t-tests, and when should each one be used?

2. Provide examples that illustrate the different types of t-tests.

Assignment 12: iLab assignment

T-test exercises

Due date: Midnight, November 14, 2016

Week 13:

November 16th

Topics to the covered:

ANOVA

Step 8. Interpret findings

Step 9. Draw conclusions and write report

Step 10. Apply findings

Questions that should be answered:

1. When should ANOVA be used?

2. What is a post-hoc test?

3. How should a research report be organized, and what should be included in each section?

4. What principles should be used in constructing tables?

5. What principles should be used in constructing figures?

Assignment 13: iLab assignment

ANOVA, table construction, and figure construction exercises

Due date: Midnight, November 21, 2016

PART SIX: ASSESSMENT OF FINDINGS AND REPORT WRITING

Week 14:

November 23rd

Thanksgiving Recess

Assignment:

Writing of research paper.

Due date: Midnight, day of final exam.

Week 15:

November 30th

Topics to the covered:

Last day of formal classes.

Final examination and paper due date for prospective December 2016 graduates.

Assignment:

Continuation of writing of research paper.

Due date: Midnight, December 7th, day of final exam.

Week 16:

December 7th

Research report due.

Final exam.