ELPA 7810 Educational Statistics
East Tennessee State University
Fall 2013
Online
Instructor:
Dr. Don Good
Office (WP 514): (423) 439-7621
Cell: (423) 747-6072
Home: (423) 289-3692
Email: gooddw@etsu.edu
Credit:
Three (3) Semester Hours
Texts:
Witte, R. S. & Witte, J. S. (2010). Statistics (9th Ed.). Hoboken, NJ: John Wiley & Sons.
Green, S.B. & Salkind, N.J. (2011). Using SPSS for Windows and Macintosh: Analyzing
and understanding data (6th Ed.). Upper Saddle River, NJ: Pearson.
Other Required Material:
SPSS (statistical software). Available for purchase at etsu.onthehub.com (More Software
> IBM SPSS Statistics 21 > Standard (or Premium) Gradpack)
or
SPSS can be freely accessed at xen.etsu.edu. You’ll find a helpful guideline to using this
resource at http://etsuac1.etsu.edu/p42927366/.
Course Description:
This course emphasized statistics for use in educational research: measures of central
tendency, variation, rank, and correlation; the normal curve and probability; testing
differences between means; analysis of variance; and nonparametric procedures.
Course Purpose and Rationale:
This course will provide a solid introduction to descriptive and basic inferential statistics,
focusing on the role of statistical analysis in the research process. The course is based on
the premise that advanced graduate students in education need to have a good
understanding of statistical analysis in order to interpret effectively research literature.
Students must also be capable of independently selecting, conducting, and reporting
statistical analyses on their own research data. At the completion of the course, students
should have a good working knowledge of statistical analysis through the level of oneway analysis of variance, including multiple-comparisons procedures. Students will also
be able to perform statistical analyses using the Statistical Package for the Social
Sciences (SPSS) for Windows.
Course Prerequisites:
An acceptable Methods of Research graduate course
Relationship of Course to College and Program Philosophy and Goals:
Quantitative analysis is an essential component of the knowledge base in Educating
Leaders for the 21st Century, which is the main focus of the program of the College of
Education. In addition to the required knowledge base in statistics, this course provides
the necessary experience and professional skills in electronic data processing and
analysis, which is an integral part of the leadership preparation program. Furthermore,
this course emphasizes the need to uphold the highest ethical standards and best
professional judgment in data collection, preparation, analysis, interpretation, and
presentation; such ethics are an essential component of our program.
Course Objectives:
This course is designed to develop your ability to perform both descriptive and inferential
statistical analysis of educational research data. You should be able to identify which
statistical procedure to use in a given research situation and conduct the appropriate
analysis. When the course is complete, you should be able to use the SPSS package to
analyze data as you would when completing the dissertation. Specifically, you should:
1. understand the role of statistical analysis in the research process.
2. differentiate between descriptive and inferential statistics.
3. describe data using tabular, graphical, and numerical methods.
4. understand the logic of a statistical test of hypothesis.
5. describe the steps involved in testing a statistical hypothesis.
6. select and perform the appropriate statistical test when presented with a research
situation.
7. interpret the results of a statistical test of hypothesis using both statistical and
practical significance.
8. distinguish between situations requiring parametric and nonparametric statistics.
9. demonstrate a working knowledge of the SPSS statistical software.
10. report statistical results in reports using the current APA style.
Course Topics:
ELPA 7810 will include the following topics: definition of statistics; statistics in various
disciplines; populations vs. samples; scales of measurement; data collection and
preparation; data tabulation and presentation; data summarization and distributions;
measures of central tendency; measures of variation; measures of effect size; the normal
distribution; probability; sampling distribution; inferential statistics; hypothesis testing;
statistical vs. practical significance; t tests, ANOVA and other related techniques;
nonparametric tests; measures of association; sample size and statistical power.
Accommodations for students with disabilities:
In order for the college to make reasonable accommodations for students with
disabilities, the student must contact the Center for Students with Disabilities and present
a Faculty Accommodation Form to each instructor. Accommodations include, but are not
limited to, the following: extended time on tests, alternative test location or format,
interpreter services, and note taking services. When possible, students should request
accommodations prior to the beginning of each semester. Testing accommodations must
be arranged prior to the scheduled test date. No accommodations will be provided
without approval from the Center for Students with Disabilities.
Conceptual Framework Overview:
The College’s Conceptual Framework, Educating Leaders in the 21st Century, was
developed through a series of faculty retreats in 1993 and 1994, and revised in Spring
2002 based on recommendations by the COE Conceptual Framework Committee, which
was comprised of representative COE faculty, and local school teachers and
administrators. Programs were redesigned based on the revised framework that went into
effect in Fall 2002. The Conceptual Framework specifically guides the Teacher
Education programs within the College and, where appropriate, also applies to the
various non-licensure programs housed within the College. The framework is comprised
of nine dimensions that come together to form the tenth: Leadership.
The Conceptual Framework is expressed in terms of the proficiencies that all teacher
candidates must demonstrate. These knowledge, skills, and dispositions are considered
essential to success in teaching as well as in other roles held by other school personnel.
See the accompanying blackboard site for complete information on the 9 dimensions +
Leadership that make up the Clemmer College of Education Conceptual Framework.
Course Requirements/Assignments:
This course will be taught using a variety of techniques. Included will be
lecture, discussion, and group activities. The following specific assignments will be
included:
1. Data Analysis and Reports (4). Each student will complete a series of Data
Analysis Exercises with APA write-ups.
2. Descriptive Statistics Assignment. Each student will complete an individualized
assignment involving descriptive data analysis.
3. Homework Assignments.
.
4. Mid-Term Examination.
5. Final Examination.
Evaluation/Grading:
Grades will be based on points accumulated on the assignments and activities
described above. An approximate grade scale is given. The instructor reserves the
right to adjust the grading procedure as he deems necessary.
Activity
Data Analyses & Reports
Descriptive Data Analysis Assignment
Homework
Mid-Term Exam
Final Exam
Points
100 (4 @ 25 ea.)
100
100
100
100
Grading Scale
Grade
A
AB+
B
BC+
C
F
# points
473-500
463-472
453-462
423-452
413-422
403-412
373-402
0-372
%
95-100
93-94
91-92
85-90
83-84
81-82
75-80
0-74
Student Technical Help:
-Technical/Computer Help
The OIT Student HelpDesk is your best resource for most technical problems.
You can call, email or stop in to see them on the first floor of the Culp Center.
Phone: 423.439.5648 Email: shdesk@goldmail.etsu.edu
-D2L Help
You can find answers to many of your D2L how-to questions on this website:
http://www.etsu.edu/d2l/students.aspx. If you are still having trouble finding
what you need, contact the Student HelpDesk.
-Problems Viewing Course Videos
This website lists some possible solutions for problems you might encounter
when viewing streaming videos through your online course site.
http://www.etsu.edu/academicaffairs/elearning/ats/services/StreamingMediaHelp.
aspx You can also contact the HelpDesk with your questions. The more
information you can provide about what is occurring on your computer the easier
it will be to help with your problems.
-Goldmail
Your Goldmail account is your official ETSU email address. University policy
states that you must use this address as your official point of contact. You are
responsible for the messages sent here. Your email address is
username@goldmail.etsu.edu and you can access your messages by going to
http://goldmail.etsu.edu. Contact the Student HelpDesk if you need help with your
password (it can be different from your ETSU password.)
-Microsoft Office Free Viewers
Some instructors may post Microsoft Word or PowerPoint documents. Even if
you do not have Microsoft Office installed on your computer you can still view
these documents by installing one of the open source products or by installing the
free Office Viewers.
-PowerPoint 2007
http://www.microsoft.com/downloads/details.aspx?familyid=048d
c840-14e1-467d-8dca-19d2a8fd7485&displaylang=en
-Word Viewer 2007
http://www.microsoft.com/downloads/details.aspx?FamilyID=365
7ce88-7cfa-457a-9aec-f4f827f20cac&displaylang=en
-Excel Viewer 2007
http://www.microsoft.com/downloads/details.aspx?FamilyID=1cd
6acf9-ce06-4e1c-8dcf-f33f669dbc3a&DisplayLang=en
-Password Reset
Your ETSU password expires every 90 days. You can select the Password Reset
link located beneath the D2L login fields or access the page directly at:
https://etsuis.etsu.edu/accountactivation/AccountActivation.aspx. The Student
HelpDesk can assist you if you are having trouble resetting the password or have
been locked out of your account.
-Virus Protection
Students may download free Symantec antivirus software at:
http://antivirus.etsu.edu. You will need your ETSU username and password to
download the software.
Student Resources:
-ETSU Bookstore
The ETSU Bookstore can be reached at cbirdwell@nebook.com, 423-439-4436,
or http://www.etsubookstore.com/. If you have the ISBN you can purchase your
textbook from anywhere. Just make sure that you are purchasing the proper
edition. The ETSU Bookstore will have the version your instructor ordered but
other sources may not.
-Disability Services
The Office of Disability Services provides a variety of services to students with
qualifying disabilities. You can find more information on their website at
http://www.etsu.edu/students/disable/default.aspx or by calling the office at
423.439.8346.
-ETSU Email
Your Goldmail account is your official ETSU email address. University policy
states that you must use this address as your official point of contact. You are
responsible for the messages sent here. Your email address
is username@goldmail.etsu.edu and you can access your messages by going
to http://goldmail.etsu.edu. Contact the Student HelpDesk if you need help with
your password (it can be different from your ETSU password.)
-Library
You can access most library materials from your computer. The Sherrod Library
even has one librarian dedicated to distance students. Her name is Amy Arnold
and she is available at 423.439.4714 or by email at arnolda@etsu.edu. You can
search the library databases by starting at http://sherrod.etsu.edu. You will need
your ETSU username and password.
-Student Handbook
The Spectrum contains all the information you will need regarding policies and
procedures. It can be found online at:
http://www.etsu.edu/students/spectrum/policies.htm.
-Tutoring
University Tutoring Services offers free tutoring through D2L for certain courses.
Find more information on their website at
http://www.etsu.edu/scs/uts/OnlineTutoring/. You can also contact them at
423.439.4758 or by email at uts@etsu.edu.
-Writing and Communication
The Writing and Communication Center provides online assistance for writing
papers and research. You can find more information about their services online
at:http://www.etsu.edu/academicaffairs/wcc/. You can call them at 423.439.7848
to schedule appointments or email them at etsuwcc@gmail.com.
-Mental Health
Students often have questions about mental health resources, whether for
themselves or a friend or family member. There are many resources available on
the ETSU Campus, including: ETSU Counseling Center (423) 439-4841; ETSU
Behavioral Health & Wellness Clinic (423) 439-7777; ETSU Community
Counseling Clinic: (423) 439-4187.
-If you or a friend are in immediate crisis, call 911.
-Available 24 hours per day is the National Suicide Prevention Lifeline:
1-800-273-TALK (8255).
Further Notes:
Due dates will be by midnight on the days indicated. Each assignment must be submitted in
pdf form via the appropriate dropbox. Please make sure your name is on each page.
Homework will be given full credit provided it is complete, submitted by due date, and in
acceptable format. Either 70% or 0 credit will be given for late or incomplete homework
submissions. Late submission of assignments (other than homework) will be given 90%
credit if submitted within one week after the due date, 80% credit if submitted between one
and two weeks late. No assignments will be accepted later than two weeks after the due date
or after the final exam.
Tentative Calendar:
Note the information for each session.Reading assignments are from the Witte and Witte
text. Hot links are provided for presentations of each topic. The instructor reserves the right
to adjust the schedule as he deems necessary. Lessons refer to Green and Salkind and will be
done in class, and students are expected to work along while watching the presentations.
Homework assignments refer to Witte and Witte. URLs for recordings of homework
problems will be posted or emailed after the respective due dates. Also note due dates for
assignments.
Session#
1
Week of
Topics & Class Activities / Reading Assignments / HW /
Assignments Due
August 26
Virtual Meeting
Reading Assignment: W & W Chapter 1, Chapter 2: 2.12.9, Chapter 3
Introduction
http://etsuac1.etsu.edu/p60844891/
Types of Statistics (Descriptive and Inferential)
http://etsuac1.etsu.edu/p21379944/
Types (Levels) of Data
http://etsuac1.etsu.edu/p87347541/
Variables (Independent and Dependent, other
classifications)
http://etsuac1.etsu.edu/p72636070/
Organization of Data (eg Frequency Distributions,
Histograms, Frequency Polygons, Curves)
http://etsuac1.etsu.edu/p10598866/
Measures of Central Tendency (Mean, Median, Mode),
Skewness
http://etsuac1.etsu.edu/p29231730/
2
September 2
Reading Assignment: W & W Chapters 4, 5
Measures of Dispersion: Range, Variance, Standard
Deviation
http://etsuac1.etsu.edu/p51273934/
Degrees of Freedom
http://etsuac1.etsu.edu/p50543861/
Normal Distribution
http://etsuac1.etsu.edu/p44423249/
Standard Scores (i.e. z Scores and the z Distribution)
http://etsuac1.etsu.edu/p22861093/
HW1: W & W 5.14 (b, c, e, g)
3
September 9
Reading Assignment: W & W Chapter 6, Chapter 7: 7.1-7.2
Correlation & Intro to Regression (also including
introduction to p values)
http://etsuac1.etsu.edu/p27056245/
G & S Lesson 31
HW2: W & W 6.9, 6.11
DUE September 13: HW1
4
September 16
Reading Assignment: W & W Chapters 8, 9
Populations and Samples
Probability
http://etsuac1.etsu.edu/p25346074/
Sampling Distribution of the Mean
Standard Error
http://etsuac1.etsu.edu/p20235563/
Instructions for Descriptive Data Analysis Project
http://etsuac1.etsu.edu/p95524092/
HW3: W & W 8.12, 8.13
HW4: W & W 9.6, 9.8
DUE September 20: HW2
5
September 23
Reading Assignment: W & W Chapters 10, 11, 12
Hypotheses, Hypothesis Testing
Common and Rare Outcomes, Critical Values
Levels of Significance (Alpha Levels)
z Test
http://etsuac1.etsu.edu/p15499822/
1 and 2 Tailed Tests (Directional & Non-Directional)
Type I and Type II Errors
http://etsuac1.etsu.edu/p96458918/
Confidence Intervals
http://etsuac1.etsu.edu/p72426515/
HW5: W & W 10.7
HW6: W & W 12.6, 12.7
DUE September 27: HW3, HW4
6
September 30
General Discussion, including review for upcoming MidTerm Exam
http://etsuac1.etsu.edu/p10369309/
DUE October 4:
-Descriptive Data Analysis Project, First Draft
-HW5, HW6
7
8
October 7
Mid-Term Exam
(To be completed anytime between Monday 10/7 and
midnight Friday 10/11)
October 14
Fall Break (no class)
October 21
Virtual Meeting/Review of Mid-Term Exam (will not be
recorded)
Reading Assignment: W & W Chapter 13
APA Write-Up for Correlation
http://etsuac1.etsu.edu/p60451051/
Single Sample t Test
http://etsuac1.etsu.edu/p67581764/
Effect Size (Introduction)
http://etsuac1.etsu.edu/p75442550/
G & S Lesson 22
HW7: W & W 13.5, 13.7
9
October 28
Reading Assignment: W & W Chapters 14, 15
Independent t Test
http://etsuac1.etsu.edu/p56679673/
Paired t Test
http://etsuac1.etsu.edu/p16755681/
G & S Lesson 23, 24
HW 8: W & W 14.11
HW9: W & W 15.8
DUE November 1:
-Data Analysis Report #1 (Correlation)
-HW7
10
November 4
Reading Assignment: W & W Chapter 16
Analysis of Variance (ANOVA, one-way)
http://etsuac1.etsu.edu/p19931732/
G & S Lesson 25
HW10: W & W 16.11
DUE November 8:
-Data Analysis Report #2 (t test)
-HW8, HW9
11
November 11
Reading Assignment: W & W Chapter 19
Chi Square (non-parametric)
One Variable
http://etsuac1.etsu.edu/p57365475/
Two Variables (Contingency Table)
http://etsuac1.etsu.edu/p97849523/
G & S Lessons 40, 41
HW11: W & W 19.14
DUE November 15:
-Data Analysis Report #3 (ANOVA)
-HW10
12
November 18
General Discussion, including review for upcoming Final
Exam
http://etsuac1.etsu.edu/p41453884/
DUE November 22:
-Data Analysis Report #4 (Student’s Choice)
-HW11
13
November 25, December 2
Final Exam
(To be completed anytime between Monday 11/25 and
midnight Friday 12/6)
14
December 9
Debrief/Virtual Meeting/Review of Final Exam (will not be
recorded)
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ:
Lawrence Erlbaum.
Cronk, B.C. (2008). How to use SPSS: A step-by-step guide to analysis and interpretation (5th
ed.). Glendale, CA: Pyrczak.
Green, S.B. & Salkind, N.J. (2011). Using SPSS for windows (6th Ed.). Upper Saddle River, NJ:
Pearson.
Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences
(5th ed.). Boston, MA: Houghton Mifflin.
Holcomb, Z.C. (2009). SPSS basics: Techniques for a first course in statistics (2nd ed.).
Glendale, CA: Pyrczak.
Larson, R., & Farber, B. (2000). Elementary statistics. Upper Saddle River, NJ: Prentice Hall.
Levin, J., & Fox, J. A. (2000). Elementary statistics in social research (8th ed.). Boston, MA:
Allyn and Bacon.
Levin, J., & Fox, J. A. (2003). Elementary statistics in social research (9th ed.). Boston, MA:
Allyn and Bacon.
Pyrczak, F. (2009). Success at statistics: A worktext with humor (4th ed.). Glendale, CA: Pyrczak.
Ravid, R. (2011). Practical statistics for educators (4th ed). Lanham, MD: Rowman and
Littlefield.
Rumsey, D. (2005). Statistics for dummies. Hoboken, NJ: Wiley.
Salkind, N. J. (2011). Statistics for people who (think they) hate statistics (4th ed). Thousand
Oaks, CA: Sage.
Van Blerkom, M.L. (2009). Measurement and statistics for teachers. New York, NY:
Roughtledge.
Wilcox, R. R. (2003). Applying contemporary statistical techniques. Amsterdam: Academic.
Witte, R. S. & Witte, J. S. (2010). Statistics (9th Ed.). Hoboken, NJ: Wiley.