Syllabus Template - Online Learning - Keystone Collegeweb.keystone.edu/Library/TLT2/docs/Math 314 OL syllab… · Web viewThis workforce solution was funded by a grant awarded under

Course Math 314 01 OL Statistics and ResearchInstructor Donato J. Summa Ph.D.

Credits 3 Term Fall 2010

Meetings Online-no on campus meetings are requiredProblem Solving Sessions - Mondays 9:00PM - 10:00 PM

Instructor’s Contact InformationOffice Phone 570-945-8573

Emergency Contact In the event of an emergency, contact 570 - 961-5477 (Home Phone) OR contact Cheryl Guse Coordinator of Online Learning. [email protected]

Office Location Kemmerer 105 Please use email to set up a face to face meeting. Email Address [email protected]

Office HoursVirtual office hours using chat on Bb are on Sunday evening from 9 to 10 PM. Face to Face office hours are available by appointment and on Tuesday and Thursday from 2:00PM - 3:00PM , and Monday and Friday 1:00PM - 2:00 PM.

Syllabus ChangesInstructors reserve the right to make changes to the syllabus as needed, and you are responsible for keeping up with those changes. Please logon regularly to Blackboard to get the most current information.

Other Information Response time for emails – 1 day maximumResponse time for assignments - 3 days maximum

Course Description & Information

Pre-requisites, Co-requisites, & other

restrictions

Prerequisite: MATH 205 with a grade of “C” or better, or consent of instructor.

Online Learning Expectations: To be successful academically, online students must be able to navigate & search the internet, use email, attach and upload documents, download & save files, and have access to and use Microsoft Word, & PowerPoint. A scanner, webcam and some simple programs like snag it are also helpful.

Course Description

Investigates the importance of research, variables and measurement, samples, normal distributions, and hypothesis testing. Emphasizes computers using SPSS to help organize, analyze, interpret, and present dataFall, Spring and Summer, $65 fee, 3 hours lecture, discussion, and laboratory work, 3 credits.

Required ReadingsElementary Statistics: a step by step approach, Allen G. Bluman, 7th ed. McGraw Hill, 2009.

SPSS for Introductory Statistics. Use and Interpretation, Third Edition, Barrett, K.C. Gloeckner G.W., Leech ,N.L., Morgan, G. A. Psychology Press, 2006

This workforce solution was funded by a grant awarded under WIRED as implemented by the U.S. Department of Labor’s Employment and Training Administration.

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http://blackboard.keystone.edu/

mailto:[email protected]

Buying TextbooksPlease note that the Keystone College Bookstore has the most complete and up-to-date information about your course textbooks. Be sure you are purchasing the correct edition and receive all the materials you need.

Recommended Readings

Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009(ON RESERVE IN MILLER LIBRARY)

Special Software/Hardware

All students enrolled in online courses are required to have active Keystone e-mail and Blackboard accounts. Students are expected to begin participation in their virtual classroom on Blackboard the first day of the semester. Each course requires the completion of an online orientation. Failure to complete the orientation will result in students being dropped from the class. Basic computer skills such as word processing, use of e-mail including sending file attachments, and searching the Internet are necessary. Installed software should include a web browser, Microsoft Office, (Microsoft Word/Excel) Windows Media Player, and Adobe Acrobat Reader. Some courses may require additional software. DSL or cable connection to the internet is recommended. Internet Connection to Blackboard is only supported using Internet Explorer 5.0 or higher. Note: Javascript & Cookies must be enabled.

SPSS software

SPSS will be on samurai02.keystone.edu, which is a terminal server that is available in all on-campus computer labs.

To get to Samurai02 from on or off campus using an XP or Vista PC, click Start, then Run, enter mstsc /v:samurai02.keystone.edu in the box, then hit ENTER. We do not support anything other than XP or Vista, but it’s possible to get on via Mac or Linux (sorry, those folks are on their own for figuring out how to connect but, as a hint, it’s a Remote Desktop Protocol, aka RDP, connection).

A bit of terminal server etiquette: When you are done, do not click the “X” to close your session. Instead, click Start, then Log Off.

More terminal server etiquette: It’s a shared resource that you are remote controlling. Running too many things at a time slows it down for everyone.

Samurai02 is available now, so you can test getting on, but Minitab isn’t there yet.

Samurai02 is NOT for general computing use. If we catch people using it for web surfing (especially gaming, which really slows it down), general office use, etc, we will lock them out of the server so their misuse does not interfere with other people who need the machine. Accessing Blackboard/E-Mail to download or submit work files is fine. If someone wants to get onto a terminal server for general use, use the same MSTSC command, but replace samurai02.keystone.edu with 216.37.198.29 from off-campus or ixs01.keystone.edu from on-campus. These machines are NOT good for web surfing, especially multimedia, and are intended for


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http://www.bkstr.com/webapp/wcs/stores/servlet/StoreCatalogDisplay?storeId=10117&langId=-1&catalogId=10001

access to academic resources. All of these systems are unavailable every Monday from 12:01 AM

until as late as 7:00 AM when the system that hosts them is backed up. We also reserve the right to take any system down without notice from 2:00 AM until 7:00 AM any day for backups and/or maintenance. We will soon be publishing a backup schedule to give those outages better predictability.

Think Samurai02 is an odd name? The machine is an IBM Blade Server (entire system in a plug-in module). The word Samurai, which most of us think of as a warrior, really translates as “to serve.” The Blade Center that Samurai02 sits in has 14 numbered slots. Guess which slot number Samurai02 sits in?

Browser/Plugin/Viewer Info

For standard Browser/Plugin/Viewer visit this page: http://web.keystone.edu/library/syllabus/browser.htmor add your own info below

Other Required Materials

None

Course Goals The Goals of the course is to help students learn how to:

1 Provide students with an introduction to the research process using SPSS software.2 Make the appropriate choice of a statistical test that is influenced by the design of the research.3 Use SPSS to help the researcher answer research questions. 4 Interpret SPSS outputs in order to make appropriate decisions concerning statistical significance.5 Write about the outputs in the Results section of a paper.6 Provide students with the skills to become analytical and critical learners.7 Provide students with skills to critically read and analyze graphs and charts provided through SPSS.8 Provide students with skills to collect and analyze data.9 Provide students with opportunities of problem solving through collaborative work in the areas of

statistics and research.10 Encourage independent mathematical thinking and exploration.11 Connect statistics to other disciplines.12 Provide students with preparation needed for data collection and research projects.

Measurable Learning Outcomes Upon completion of this course, a student should be able to:

1 Write a research paper with findings in the APA ( American Psychological Association) format. 2 Identify the appropriate parametric and nonparametric statistics to use in research3 Access and use established databases and internet sources. 4 Be an informed consumer of social science research by being able to evaluate published research on issues

of validity, reliability, sampling, data collection and analysis.5 Conceptualize and operationalize a research question by developing research hypotheses, identifying

appropriate research designs, choosing appropriate measurement instruments, planning the sampling and data collection strategy, and statistically processing the data.

6 Conduct secondary and primary source literature reviews. 7 Design studies for empirical research, including problem stating, hypothesizing or posing research

questions, sampling, data gathering and analysis, reporting of results, and discussion of results. 8 Use SPSS to enter, organize, describe, analyze and present data


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9 Discuss research studies (purpose, findings, implications)

Course Assessment Chart

Number Assessment Goal(s) Outcomes(s)1 Research Project 1 2 3 4 5 8 11 12 1 2 3 5 6 7 82 Oral Presentation 6 7 10 11 12 1 2 5 93 Literature Review 4 6 8 10 11 1 3 4 64 Quizzes 1 2 3 4 5 6 7 8 11 1 2 5 7 85 Tests 1 2 3 4 5 6 7 8 11 1 2 5 7 86 Research Article Summaries 6 7 10 11 12 1 3 4 6 97 SPSS Assignments 1 3 4 7 9 11 12 1 2 5 7 8

Grading

Grading (credit) Criteria

Tests: There will be three (3) timed tests during the semester. (timed test = 75 min)

Quizzes: There will, also be ten (10) online Quizzes one per chapter. They will be online but will not be timed.

Note: Each test/quiz will have a due date and time to be completed. If you cannot take a test/quiz on the designated day due to extreme circumstances, please contact the instructor as soon as possible (the day of the test at the latest) so that arrangements can be made for another testing time. Quizzes will become unavailable one hour after the due date and time. You may be required to provide a doctor’s note if the extreme circumstance is medical.. The make-up exam must be taken within 24 hrs. or a zero will be given for that test or quiz

Evaluation and Assessment: The following will be used in the assessment of student outcomes:

* SPSS Lab Assignments (10 @ 10 points each) 100 points*Discussion Board Projects(10 @ 10 pts each) 100 points* Literature Review Assignment 20 points* Examinations (3 @ 100 points each) 300 points* Quizzes (10 @ 10 points each) 100 points* Final Project 150 points* Presentation 50 points

TOTAL 820 POINTS

Students will not be allowed to make up any assignments, exercises and/or tests that were missed because they were not prepared, or had forgotten the due date. A grade of zero will be recorded in this case. Assignments can only be made up when missed due to extenuating circumstances, and may be graded with no or partial credit. (Rarely will make-ups be accepted. Documentation of the extenuating circumstances is required in these cases.)

To figure out your final grade, divide the total number of points by 820. Grades will be assigned as follows:


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Grade PercentageA 94 - 100A- 90-93B+ 87-89B 84-86B- 80-83C+ 77-79C 70-76D 60-69F below 60

*Note: Failure to do a good job on the final project/oral presentation could result in a low grade/failure of the course.

Assignments

Online students will be completing online assignments in the form of labs, lectures, testing, individual projects, and participating in a discussion board as a problem solving session each week/module. Most online students say the most important thing about taking an online class is to set aside time each week to work on the class assignments, just as you would in a regular classroom. In this course you will probably not be able to work ahead and get your course work completed in a shorter time frame. Reading, studying and homework will require additional time just as it does in a traditional classroom environment. Most people are busy and choose online to fit education into an already busy life. Most students log in everyday for 5 to 15 minutes just to see what is going on. There is a student lounge and frequently asked questions area. Students often ask each other questions there and answer each others questions. The instructor is not the only one who answers the questions in this area. It is a great source for nearly instant help and support; someone is often online and working at the same time.

You will be required to complete:

10 SPSS Assignments 15 Discussion Board Projects1 Literature Review Assignment 3 Examinations 10 Quizzes 1 Final Project 1 Final project Oral Presentation

Submitting Article Summaries and SPSS Exercises

These assignments will be submitted through Blackboard on the due date.

Discussion Board Criteria

Online Problem Solving Sessions will be held through the Discussion Board. These sessions are mandatory, and are also tied into the Extra Credit Assignments Each student will be expected to post comments on the discussion board every week. This is a major portion of your grade. There will be problem solving assignments posted each week. Everyone must participate and you will be graded on your comments. Each week some students will have special assignments as group leader (facilitator) or group summarizer and poster (key observer). Everyone will have this responsibility at one time or another. The facilitator makes sure the discussion board stays on topic and the key observer summarizes the discussion and posts the results of the week in the Report Out section for the assignment. Each week you will have the potential to earn 10


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points from the discussion board. The instructor expects a student to post to the discussion three times during each assignment, which is one week long. The first post is expected by Tuesday at midnight, a second post by Thursday at midnight and a third by Saturday at midnight. Our Online Problem Solving Sessions will run a weekly schedule of Sunday 10:00 PM to the next Sunday at 10:00 PM. Posts are graded on quality as well as timing. Saying "I agree" is not a substantive post. Please explain your thoughts completely.

Extra Credit Criteria

You will start out the Semester with Eligibility to do Extra Credit Assignments worth up to 30 points.

1st Online Problem Solving Session absence- 10 points deducted2nd Online Problem Solving Session absence – 10 more points deducted3 or more Online Problem Solving Session absences – you will loose eligibility for the Extra Credit Assignments.

Final Project

The Final Project and Oral Presentation is an integral component of this course. This project will be on a topic chosen by the student that relates to their undergraduate major. It will use second–hand data unless the student wants to conduct new research. Any new research will require compliance with Keystone College's IRB (Institutional Review Board ) Policy and Guidelines.

The final project consists of :

1. writing a research hypothesis, 2. doing research on your topic, 3. creating and carrying out a research design, 4. and reporting the results through a paper and oral presentation.

Oral Presentation The Oral Presentation will be given during final exam week. The student will speak briefly on their research project: the purpose, hypothesis, participants, methodology, findings, and any limitations/problems they may have had in carrying out the project. The presentation should be between 5 and 10 minutes long, and should include at least one of the following: PowerPoint, handouts, and/or other pre-approved visual aids.

Submitting the Oral Presentation of the Final project

On Campus Options:

1. Make an appointment with the instructor to hear the Oral presentation during Final Exam Week.

2. Make an appointment with the Media Lab prior to the last week of class toa. Use Adobe presenter to add audio to their powerpoint presentation.b. or to videotape their oral presentation.

Off Campus Options:

1. Make an appointment with the instructor to hear the Oral presentation during Final Exam Week.

2. Make an appointment with the Media Lab prior to the last week of class to come on campus toa. Use Adobe presenter to add audio to their powerpoint presentation.b. or to videotape their oral presentation.

3. To export your powerpoint slides as images, video tape your presentation using a webcam, and integrate the powerpoint slides into the video using windows movie maker or other video editing software (unless you have an LCD projector to project your powerpoint and videotape the entire


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presentation).

All options require that the finished presentation be sent to the instructor by the last day of classes. The instructor will then post a Discussion Board thread with the presentation. All members of the class will then comment on this presentation.

The instructor will then post a Discussion Board thread with the presentation. All members of the class will then comment on this presentation.

Note: Failure to complete the final project or the Oral presentation will result in an “F” for the course regardless of the grade up to that time

Make-Up& Late Work

Examinations and other assignments are to be done in the time frame allotted. Exams can only be made up with an excuse from the Dean’s Office. Should you need to miss a class for vacation or other reasons please inform the instructor and make arrangements to do your work ahead of the due date.

SPSS Projects & Research Article Summaries Each project will have a due date and time to be turned in. there is no grace period

Class Preparation & Participation

Students should prepare for an online class just as they would for a face to face class. Class participation is required using the Discussion Board for the Online Problem Solving Sessions.

Course Policies

Make-Up Exams

Tests and Quizzes

Each test/quiz will have a due date and time to be completed. If you cannot take a test/quiz on the designated day due to extreme circumstances, please contact the instructor as soon as possible (the day of the test/quiz at the latest) so that arrangements can be made for another testing time. Quizzes and tests will become unavailable one hour after the due date and time. An test or quiz that is not taken on the scheduled day of the test will not be identical to the test or quiz that was given in class.

Extra Credit Eligibility based on Discussion Board Problem Solving Sessions

Late Work Each Assignment will have a due date and time to be turned in. there is no grace period for projects not handed in on time.

Special Assignments None

Class Attendance

Students are expected to come to class in the online setting on a regular basis just as in a face to face classroom. Make sure you set aside time and make a schedule that works for you to be in class. Most students log in everyday just to see what is going on. The students' Blackboard work will be monitored by the instructor. Inactivity will cause the instructor to report this finding to the appropriate counselor.

Student Conduct/

Netiquette

For Netiquette information, visit this webpage: http://web.keystone.edu/library/syllabus/netiquette.htm

Special Procedures

All quizzes and exams will be taken online. Check out this web site.

Taking Exams and Proctoring: http://www.keystone.edu/onlinelearning/studentresources/takingtest.dot

Blackboard Support For Blackboard assistance http://blackboard.keystone.edu/ or e-mail the Blackboard

administrator at [email protected]

For a New Student Orientation to Blackboard, visit: This workforce solution was funded by a grant awarded under WIRED as implemented by the U.S. Department of Labor’s Employment and Training Administration.

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http://blackboard.keystone.edu/

http://www.keystone.edu/onlinelearning/studentresources/takingtest.dot

http://web.keystone.edu/library/syllabus/netiquette.htm

http://academic.keystone.edu/ksussman/blackboard_student_training.htm

For tutorials on using specific aspects of Blackboard, visit http://academic/ksussman/blackboard_student_training.htm

Technical Support

You can get technical support or assistance by visiting the Technology Support page here: http://www.keystone.edu/current_students/technology_support/ or by contacting the IT Helpdesk at (570) 945-8778 or [email protected]

Plagiarism & Academic Integrity

Academic misconduct and dishonesty includes any activity that compromises the academic integrity of the College or subverts the educational process. For information on dishonest acts including plagiarism, cheating, and fraud, consult your Student Information Guide or click on the link below. If you have any questions, talk with your instructor.

http://web.keystone.edu/Library/syllabus/integrity.htm

Copyright Notice

The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted materials, including music and software. Copying, displaying, reproducing, or distributing copyrighted works may infringe the copyright owner’s rights and such infringement is subject to appropriate disciplinary action as well as criminal penalties provided by federal law. Usage of such material is only appropriate when that usage constitutes “fair use” under the Copyright Act. As a Keystone College student, you are required to follow the College’s copyright policy. For more information about the fair use exemption, see the Miller Library’s copyright page: http://web.keystone.edu/library/copyright.html

Email Use

Keystone College states that all official student email correspondence be sent only to a student’s Keystone email address and that faculty and staff consider email from students official only if it originates from a Keystone account. This allows the College to maintain a high degree of confidence in the identity of all individuals and the security of transmitted information. Keystone College furnishes each student with a free email account that is to be used in all communication with College personnel.

Withdrawal from Class

The College has set deadlines for withdrawing from courses. These dates and times are published in the course catalog and on the Academic Calendar. It is the student's responsibility to handle withdrawal requirements from any class. You must do the proper paperwork to ensure that you will not receive a final grade of "F" in a course if you choose not to attend once you are enrolled. If you are considering withdrawing from a class, talk with your Advisor and consult the College Catalog.

Academic Grievance

Procedures

Procedures for student grievances are found in the College Catalog. Please consult the procedures before taking action.

Please note: The first step in attempting to resolve any student grievance regarding grades, evaluations, or other fulfillments of academic responsibility, is to make a serious effort to resolve the matter with the instructor. The College Catalog outlines any subsequent steps.

Incomplete Grades According to the College Catalog, an Incomplete (“I”) will only be awarded in the case of

exceptional circumstances. Mere inability to submit work on time, or missing the final exam, is not valid reasons for an Incomplete.


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http://www.keystone.edu/academics/catalog/




http://web.keystone.edu/library/copyright.html

http://web.keystone.edu/Library/syllabus/integrity.htm

http://www.keystone.edu/current_students/forms/StudentInformationGuide.pdf

http://www.keystone.edu/current_students/forms/StudentInformationGuide.pdf


http://www.keystone.edu/current_students/technology_support/

http://academic/ksussman/blackboard_student_training.htm

http://academic.keystone.edu/ksussman/blackboard_student_training.htm

Students must make arrangements with the instructor prior to the final exam it they wish to receive a grade of incomplete. (Forms are available in the Office of the Registrar.) The deadline for the completion of the coursework is four weeks into the next semester. If the course work is not completed within the specified time frame, the incomplete grade will become an “F.”

ADA Statement

Keystone College does not discriminate in any of its programs on the basis of disability.

While there is not a deadline for the disclosure of a disability by a student, in order to facilitate the documentation and accommodation processes, students are encouraged to voluntarily and confidentially disclose and disability requiring an accommodation prior to the beginning of class. This disclosure should be made to Owen Conaghan, [email protected] College Counselor & Coordinator of Disability Services. Students who disclose a disability, and who are seeking an accommodation, ultimately will be expected to provide documentation verifying the disability.

KC Connect For information about classes & advisers, to check midterm and final grades or to register for classes, logon to KC Connect.

Tutoring Info

The College does offer tutoring assistance for many courses. For more information or to schedule an appointment, consult the Tutoring webpage here: http://www.keystone.edu/studentlife/studentresources/studentsuccess/tutoring.dot

Advising & Other

Student Support Info

For information about academic advising, visit the Academic Advising Center homepage here: http://www.keystone.edu/studentlife/studentresources/studentsuccess/academicadvising.dot For a list of Student Support Services, visit the Support Services webpage here: http://www.keystone.edu/studentlife/studentresources/

Bookstore Info

Visit the Bookstore at this link: http://www.bkstr.com/webapp/wcs/stores/servlet/StoreCatalogDisplay?storeId=10117&langId=-1&catalogId=10001

Library Info Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009

(ON RESERVE IN MILLER LIBRARY)

Schedule of Assignments

Math 314OL Modules

Modules New

Module # and date Modular Learning Objectives AssignmentsModule # 0OrientationAug 24

Learn to use the online classroom

Meet the other members of the class


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http://www.keystone.edu/studentlife/studentresources/

http://www.keystone.edu/studentlife/studentresources/studentsuccess/academicadvising.dot

http://www.keystone.edu/studentlife/studentresources/studentsuccess/academicadvising.dot

http://www.keystone.edu/studentlife/studentresources/studentsuccess/tutoring.dot

https://kcconnect.keystone.edu/cgi-bin/login.mbr/login


Module #1Research Process

Aug 28 - Sept 4

.Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009

Chapter 2. The Research Process: Coming to Terms

At the conclusion of this chapter, students should be able to:

1. Describe the research process from formulating questions to seeking and finding solutions.

2. Describe the difference between dependent and independent variables.

3. Identify other types of variables that may interfere with the research process.

4. Define a hypothesis and describe how it works.5. Discuss the value of the null hypothesis.6. Describe the difference between a null

hypothesis and a research hypothesis.7. List the characteristics of a good hypothesis.8. Explain the difference between a sample and

the population.9. Define statistical significance and explain its

importance.

Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009 Chapter 3A. Selecting a Problem and Reviewing the Research


1. Discuss how to find a topic for a research process.

2. Discuss how to develop an idea into a research question, then a hypothesis.

3. Develop a research hypothesis.4. Define the three types of sources typically

consulted when conducting a literature review (i.e., general, primary, secondary).

5. Discuss how to use general, primary, and secondary sources.

6. Define terms related to a literature review.7. Summarize how to use sources such as reviews,

indices and journals to conduct a literature review.

8. Describe how scholarly journals work, including the criteria for judging a research study.

9. Define electronic tools available via the World Wide Web and discuss their uses.

10. Discuss how to use a bibliographic database program.

11. Demonstrate how to write a literature review.

Quiz #1

Quiz #2

Literature Review AssignmentResearch Article Summary #1


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Module #2Descriptive StatisticsReview of Math 205

Sept 7 - Sept 18


Chapter 1: Variables, Research Problems and Questions


1. Explain the difference between research problems, research hypotheses and research questions.

2. Provide definitions for different types of variables.

3. Identify the research question, research hypothesis, and types of variables used in a study.

4. Determine if a research question is a difference research question, an associational research question, or a descriptive research question.

5. Explain the relationship between the type of independent variable used in a study and the type of research question that can be answered (difference, associational, descriptive).

6. Discuss how the type of research questions drives the selection of the type of statistic.

7. Utilize the SPSS data editor and variable view features to examine the variables of an existing dataset.

Chapter 2: Data Coding, Entry, and Checking


1. 1. Describe the steps necessary to plan, pilot test and collect data.

2. Prepare data for entry into SPSS or a spreadsheet

3. Define and label variables.4. Display your SPSS codebook (dictionary).5. Enter data into SPSS or a spreadsheet.6. Check accuracy of data entry using SPSS

Descriptive Statistics.

Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009

Chapter 7 Data Collection and Descriptive Statistics

At the conclusion of this chapter, students should be

Quiz #3Research Article Summary #2



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able to:

1. Explain the steps in the data collection process.2. Construct a data collection form and code data

collected.3. Identify 10 “commandments” of data collection.4. Define the difference between inferential and

descriptive statistics.5. Compute the different measures of central

tendency from a set of scores.6. Explain measures of central tendency and when

each one should be used.7. Compute the range, standard deviation, and

variance from a set of scores.8. Explain measures of variability and when each

one should be used.9. Discuss why the normal curve is important to the

research process.10. Compute a z-score from a set of scores.11. Explain what a z-score means.


Chapter 3: Measurement and Descriptive Statistics

The student will be able to:

1. Utilize frequency distributions to determine if data is normally distributed.

2. Define the various levels of measurement (nominal, ordinal, interval, ratio, etc.) and recognize terms that are used interchangeably.

3. Distinguish between the types of measurement (e.g. nominal vs. ordered, ordinal vs. normal).

4. Utilize SPSS to generate descriptive statistics (frequency distributions, measures of central tendency, measures of variability) for a data set.

5. Select the appropriate descriptive statistics based upon the level of measurement of the data.

6. Describe the difference between parametric and non-parametric statistics.

7. Describe the properties of the normal curve.8. Determine whether data is normally distributed

and describe types of non-normality exhibited (skewness, kurtosis, etc.).

9. Explain the relationship between the area under the normal curve and probability distributions.

10. Explain the purpose of converting data to a standard normal curve and generating z-scores.

SPSS #1 Plots & Measures of Central Tendency & Dispersion

Module #3 Exploring Research 7th ed., Neil J. Salkind, Prentice This workforce solution was funded by a grant awarded under WIRED as implemented by the U.S. Department of Labor’s Employment and Training Administration.

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Writing a Research Manuscript

Sept 21 - Sept 25

Hall, 2009

Chapter 14. Writing a Research Manuscript


1. Identify the essential components of a typical manuscript and summarize the purpose of each.

2. Discuss why the abstract is such an important part of the manuscript.

3. List the basic “rules of thumb” for formatting manuscripts using APA style.


Chapter 5: Data File Management


1. Explain why data transformations might be necessary.

2. Count data.3. Recode and relabel data.4. Compute scale scores using either the numeric

expression or function features of the SPSS Compute Variable command.

5. Check transformed data for errors and normality.


Research Article Summary #5

Test #1 On Modules 1,2 & 3

Module #4

Inferential StatisticsReview of Math 205

Sept 28 - Oct 9


Chapter 8 Introducing Inferential Statistics


1. Explain the difference between descriptive and inferential statistics.

2. Define the central limit theorem and explain why it is important to the world of inferential statistics.

3. List the steps in completing a test of statistical significance.

4. Discuss the basic types of statistical tests and how they are used.

5. Explain Type I and Type II errors in null hypothesis testing.

6. Discuss the distinction between statistical significance and meaningful significance.


SPSS #2 One Sample t Test

SPSS #3 Independent Samples t Test


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Chapter 6: Selecting and Interpreting Inferential Statistics

After completing this chapter, you should be able to:

1. Identify the general design classification for difference research questions.

2. Explain the distinctions of within subjects design versus between groups design classifications.

3. Utilize a decision tree (Figure 6.1) to guide the selection of appropriate inferential statistics (Tables 6.1-6.4).

a. Identify the research problem.b. Identify the variables and their level of measurement.c. Select appropriate inferential statistic.

4. Describe the relationship between difference and associational inferential statistics as a function of the general linear model.

5. Interpret the results of a statistical test. a. Determine whether to reject the null

hypothesis.b. Determine the direction of the effect.c. Evaluate the size of the effect.

6. Discuss the relationship between statistical significance and practical significance.

Chapter 9 Comparing Two Groups with t Tests and Similar Nonparametric Tests


1. Analyze data using a One Sample t Test2. Analyze data using a Independent Samples t Test3. Analyze data using a Paired Samples t Test

SPSS #4 Paired Samples t Test


Module #5Correlation and Regression

Oct 12 - Oct 16

Elementary Statistics: a step by step approach, Allen G. Bluman, 7th ed. McGraw Hill, 2009.

10 Correlation and Regression

After completing this chapter, you should be able to

1. Draw a scatter plot for a set of ordered pairs.2. Compute the correlation coefficient.3. Test the hypothesis H0: = 0.4. Compute the equation of the regression line.5. Compute the coefficient of determination.6. Compute the standard error of the estimate.7. Find a prediction interval.8. Be familiar with the concept of multiple

regression.9.

Quiz #7


SPSS #5: Bivariate or Simple Linear Regression

SPSS #6: Multiple Regression


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Chapter 8 Correlation and Regression


1. Create and interpret scatterplots.2. Explain the assumptions and conditions for the

Pearson Correlation versus the Spearman rho.3. Compute and interpret the Pearson Correlation.4. Compute and interpret the Spearman Rho.5. Compute a correlation matrix to indicate the

associations among the pairs of three or more variables.

6. Compute and interpret Chronbach’s alpha as a measure of reliability.

7. Compute and interpret a bivariate regression.8. Compute and interpret a multiple regression

(Enter method).9. Write about the results of the statistical tests

performed in this chapter.

Module #6

Other Chi-Square Tests

Oct 19 - Oct 30


11 Other Chi-Square Tests


1. Test a distribution for goodness- of -fit, using chi-square.

2. Test two variables for independence, using chi-square.

3. Test proportions for homogeneity, using chi-square.


Chapter 7 Cross Tabulation, Chi Square, and Nonpararmetric Measures of Association


1. Create cross-tabulation tables from two variables which both have few levels.

2. State the assumptions and conditions for the use of Chi-square, Phi and Cramer’s V.

3. Determine if there is a statistically significant relationship between two nominal variables

Quiz #8

SPSS #7: Chi square and Phi (or Cramer's V)

SPSS 8: Cross Tabulation and Eta

Test #2 On Modules 4,5 & 6


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using Chi-square.4. Assess the strength of the relationship (effect

size) between two nominal variables using phi (or Cramer’s V).

5. Compute and interpret Kendall’s tau-b for ordinal and categorical variables.

6. Compute and interpret eta for the relationship between one nominal and one normal/scale variable.

7. Compute Cohen’s Kappa to assess interobserver reliability for two nominal variables.

8. Write about the results of the statistical tests performed in this chapter.

Module #7

Analysis of Variance

Nov 2 - Nov 13


12 Analysis of Variance


1. Use the one-way ANOVA technique to determine if there is a significant difference among three or more means.

2. Determine which means differ, using the Scheffé or Tukey test if the null hypothesis is rejected in the ANOVA.

3. Use the two-way ANOVA technique to determine if there is a significant difference in the main effects or interaction.


Chapter 10: Analysis of Variance (ANOVA)


1. Analyze data by using a One Way (or Single Factor) ANOVA

2. Analyze data by using Post Hoc Multiple Comparisons Tests

3. Analyze data by using a Two Way (or Factorial) ANOVA

Quiz #9

SPSS #9: One Way (or Single Factor) ANOVA & Post Hoc Multiple Comparisons Tests

SPSS #10: Two Way (or Factorial) ANOVA

Module #8

Nonparametric Statistics

Nov 16 - Nov 26


13 Nonparametric Statistics


1. State the advantages and disadvantages of nonparametric methods.

2. Test hypotheses, using the sign test.

Quiz #10

Test #3 On Modules 7 & 8


] Page 16

3. Test hypotheses, using the Wilcoxon rank sum test.

4. Test hypotheses, using the signed-rank test.5. Test hypotheses, using the Kruskal-Wallis test.6. Compute the Spearman rank correlation

coefficient.7. Test hypotheses, using the runs test.



1. Analyze data by using Other (Nonparametric) Associational Statistics

2. Analyze data by using the Nonparametric Mann Whitney U Test

3. Analyze data by using theNonparametric Wilcoxon Test for Two Related Samples

4. Analyze data by using the Nonparametric Kruskal Wallis Test

Module #9

Sampling and Simulation

Nov 30 - Dec 4


14 Sampling and Simulation


1. Demonstrate a knowledge of the four basic sampling methods.

2. Recognize faulty questions on a survey and other factors that can bias responses.

3. Solve problems, using simulation techniques.

Dec 7 - 11 Final Exam WeekFinal Presentation -

Weekly Schedule

Week/ Module Topics & Assignments Due Dates

Module #0

Aug 24

IntroductionOrientation

Module #1 Research Process

Aug 28 - Sept 4

.Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009

Chapter 2. The Research Process: Coming to Terms - Quiz #1 ........ Chapter 3A. Selecting a Problem and Reviewing the Research - Quiz #2…………………………….

Aug

Aug

Sept

Module #2Descriptive

SPSS for Introductory Statistics. Use and Interpretation, Third Edition, Barrett, K.C. Gloeckner G.W., Leech ,N.L., Morgan, G. A. Psychology Press,


] Page 17

StatisticsReview of Math 205

Sept 7 - Sept 18

2006Chapter 1: Variables, Research Problems and QuestionsChapter 2: Data Coding, Entry, and Checking - Quiz #3

Exploring Research 7th ed., Neil J. Salkind, Prentice Hall, 2009Chapter 7 Data Collection and Descriptive Statistics - Quiz #4

Literature Review Assignment ...............................................................

SPSS #1 Plots & Measures of Central Tendency & Dispersion .......



Sept

Sept

Module #3

Writing a Research Manuscript

Sept 21 - Sept 25


Chapter 14. Writing a Research Manuscript - Quiz #5 ………….


Chapter 5: Data File Management

Test #1 On Modules 1, 2 & 3 ……………………………………….

Sept

Sept

Module #4Inferential StatisticsReview of Math 205

Sept 28 - Oct 9


Chapter 8. Introducing Inferential Statistics - Quiz #6.....................

SPSS for Introductory Statistics. Use and Interpretation, Third Edition, Barrett, K.C. Gloeckner G.W., Leech ,N.L., Morgan, G. A. Psychology Press, 2006Chapter 6: Selecting and Interpreting Inferential Statistics

Chapter 9 Comparing Two Groups with t Tests and Similar Nonparametric Tests

SPSS #2 One Sample t Test.....................................................................

SPSS #3 Independent Samples t Test ………………………………..

SPSS #4 Paired Samples t Test ………………………………………

Sept

Oct

Oct

Oct

Module #5Correlation and Regression


10 Correlation and Regression - Quiz #7 …………………………… Oct


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Oct 12 - Oct 16


Chapter 8 Correlation and Regression

SPSS #5: Bivariate or Simple Linear Regression …………………

SPSS #6: Multiple Regression ……………………………………..

Oct

Oct

Module #6

Other Chi-Square Tests

Oct 19 - Oct 30


11 Other Chi-Square Tests - Quiz #8 ……………………………….


Chapter 7 Cross Tabulation, Chi-Square, and Nonpararmetric Measures of Association

SPSS #7: Chi square and Phi (or Cramer's V) ……………………

SPSS 8: Cross Tabulation and Eta …………………………………

Test #2 On Modules 4,5 & 6 ………………………………………….

Oct

Oct

Oct

Oct

Module #7Analysis of VarianceNov 2 - Nov 13


12 Analysis of Variance - Quiz #9 …………………………………..


Chapter 10: Analysis of Variance (ANOVA)

SPSS #9: One Way (or Single Factor) ANOVA & Post Hoc Multiple Comparisons Tests ………………..

SPSS #10: Two Way (or Factorial) ANOVA ……………………..

Nov

Nov

NovModule #8

Nonparametric Statistics

Nov 16 - Nov 26


13 Nonparametric Statistics - Quiz #10 ………………………………

Test #3 On Modules 7 & 8 …………………………………………….

Nov

Nov

Module #9Sampling and SimulationNov 30 - Dec 4


14 Sampling and SimulationThis workforce solution was funded by a grant awarded under WIRED as implemented by the U.S. Department of Labor’s Employment and Training Administration.

] Page 19

Last Day to turn in ……………………………………………………… 1. Hard copy of Final Paper 2. Digital copy of Final Paper 3. Digital copy of the Final Paper Dataset.

Dec 2

Oral Presentation of Final Project By appointment

Extra Credit SPSS Assignments ( In Blackboard under Assignments)

Pick only one from each chapter for a maximum of three (3) Assignments worth 10 points each.

Chapter Assignment Due Dates

Chapter 2 – Data Coding, Entry, and Checking

Using your College Student data file, on the CD in the back of this book, do the following problems. Print your outputs and circle the key parts that you discuss.

2.1 Compute the N, minimum, maximum, and mean, for all the variables in the college student data file. How many students have complete data? Identify any statistics on the output that are not meaningful. Explain.

2.2 What is the mean height of the students? What about the average height of the same sexparent? What percentage of students are males? What percentage have children?


Use the hsbdata.sav file from the CD in the back of the book to do these problems with one or more of these variables: math achievement, mother's education, ethnicity, and gender. Use Tables 3.2, 3.3, and the SPSS instructions in the text to produce the following plots or descriptive statistics, when appropriate or OK, for each of the four variables.

3.1 Create bar charts. Discuss why you did or didn't create a bar chart for each variable.

3.2 Create histograms. Discuss why you did or didn't create a histogram for each variable.

3.3 Create frequency polygons. Discuss why you did or didn't create a frequency polygon foreach variable. Compare the plots in 3.1, 3.2, and 3.3.

3.4 Compute the range, standard deviation, and skewness. Discuss which measures ofvariability are meaningful for each of the four variables.

3.5 Compute the mean, median, and mode. Discuss which measures of central tendency aremeaningful for each of the four variables.

Chapter 5: Data File Management Using the college student data, solve the following problems:

5.1. Compute a new variable labeled average overall evaluation This workforce solution was funded by a grant awarded under WIRED as implemented by the U.S. Department of Labor’s Employment and Training Administration.

] Page 20

(aveevao by computing the average score (evalinst + evalprog + evalphys + evalsocl)/4.

5.2 Compute a similar variable (meanevao, using the Mean command. Compare the two (5.1 and 5.2) scores. Why do they differ?

5.3 Count the number of types of TV shows that each student watches.5.4 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 recorded values.

Chapter 7 Cross Tabulation, Chi Square, and Nonpararmetric Measures of Association

Using the College Student data file, do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you discuss.

7.1. Run crosstabs and interpret the results of chi square, and phi (or Cramer's P), as discussed in Chapter 6 and in the interpretation of Output 7. 1, for: a) gender and marital status and b) age group and marital status.

7.2. Select two other appropriate variables, run and interpret the output as we did in Output 7.1.

7.3. Is there an association between having children or not and watching TV sitcoms?

7.4. Is there a difference between students who have children and those who do not in regard to their age group?

7.5. Compute an appropriate statistic and effect size measure for the relationship between gender and evaluation of social life.

Chapter 8: Correlation and Regression

Using the College Student data on the CD included with this book, do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you discuss.

8.1. What is the correlation between student's height and parent's height? Also produce a scatterplot. Interpret the results, including statistical significance, direction, and effect size.

8.2. Write a question that can be answered via correlational analysis with two approximately normal or scale variables. Run the appropriate statistics to answer the question. Interpret the results.

8.3. Make a correlation matrix using at least four appropriate variables. Identify, using the variable names, the two strongest and two weakest correlations. What were the r and p values for each correlation?

8.4. Is there a combination of gender and same sex parent's height that significantly predicts student's height?

8.5. Is there a combination of hours of TV watching, hours of studying, and hours of work that predicts current GPA?

Chapter 9: Comparing Two Groups with t Tests and Similar Nonparametric Tests

Using the College Student data file, do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you use for your interpretation.

9.1. Is there a significant difference between the genders on average student height? Explain. Provide a full interpretation of the results.

9.2. Is there a difference between the number of hours students study and the hours they work? Also, is there an association between the


] Page 21

two?9.3. Write another question that can be answered from the data using a

paired sample t test. Run the t test and provide a full interpretation.9.4. Are there differences between males and females in regard to the

average number of hours they (a) study, (b) work, and (c) watch TV? Hours of study is quite skewed so compute an appropriate nonparametric statistic.

Chapter 10:Analysis of Variance (ANOVA)

Using your College Student data file, do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you use for your interpretation.

10.1.Identify an example of a variable measured at the scale/normally distributed level for which there is a statistically significant overall difference (E) between the three marital status groups. Complete the analysis and interpret the results. Do appropriate post hoc tests.

10.2. Use the Kruskal Wallis test, with Mann Whitney post hoc follow up tests if needed, to run the same problem as 10. 1. Compare the results.

10.3.Do gender and marital status seem to have an effect on student's height and do gender and marital status interact? Run the appropriate SPSS analysis and interpret the results.

10.4.Do gender and having children interact and do either seem to affect current GPA?

10.5.Are there differences between the age groups in regard to the average number of hours they (a) study, (b) work, and (c) watch TV?

“This workforce solution was funded by a grant awarded under Workforce Innovation in Regional Economic Development (WIRED) as implemented by the U.S. Department of Labor’s Employment and Training Administration. The solution was created by the grantee and does not necessarily reflect the official position of the U.S. Department of Labor. The Department of Labor makes no guarantees, warranties, or assurances of any kind, express or implied, with respect to such information, including any information on linked sites and including, but not limited to, accuracy of the information or its completeness, timeliness, usefulness, adequacy, continued availability, or ownership. This solution is copyrighted by the institution that created it. Internal use by an organization and/or personal use by an individual for non-commercial purposes is permissible. All other uses require the prior authorization of the copyright owner.”


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