Note:
Course content may be changed, term to term, without
notice. The information below is provided as a guide
for course selection and is not binding in any form,
and should not be used to purchase course materials.
EDUC 712 Course Syllabus
COURSE SYLLABUS
EDUC 712
ADVANCED EDUCATIONAL STATISTICS
COURSE DESCRIPTION
This course involves an examination of descriptive statistics and basic inferential statistical
techniques. Hypothesis testing, confidence intervals, analysis of variance, correlation techniques
and nonparametric statistical methods will be discussed.
RATIONALE
This course is designed to help educators gain a basic understanding of the nature of educational
statistics. At the conclusion, the candidate should be able to apply what he/she has learned in
actual practice in a God-centered manner.
I.
PREREQUISITES
For information regarding prerequisites for this course, please refer to the Academic
Course Catalog.
II.
REQUIRED RESOURCE PURCHASES
Click on the following link to view the required resource(s) for the term in which you are
registered: http://bookstore.mbsdirect.net/liberty.htm
III.
IV.
ADDITIONAL MATERIALS FOR LEARNING
A.
Computer with basic audio/video output equipment
B.
Internet access (broadband recommended)
C.
Microsoft Office
D.
Software Downloads
(Silverlight, Adobe PDF Reader, and Flash Player are available to the candidate
through the Services/Support link on the Course Menu in Blackboard)
E.
iTunesU (Optional)
F.
Rockinson-Szapkiw, A. (2013). Statistics guide. (link provided in the course to a
PDF)
G.
Dissertations in the digital commons
MEASURABLE LEARNING OUTCOMES
Upon successful completion of this course, the candidate will be able to:
A.
Define various approaches to faith and learning integration.
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EDUC 712 Course Syllabus
V.
B.
Explain basic research terms, the process by which research design informs the
choice of statistical procedure, and the way in which questions and hypotheses
should reflect a chosen design and statistical procedure.
C.
Define basic statistical terms including normal and non-normal distributions of
data, measures of central tendency (i.e. mean, median, and mode), variability (i.e.
range, variances, standard deviations, and the standard error of the mean), levels
of measurement, and probability.
D.
Use SPSS to calculate and interpret descriptive statistics, to explore data and
solve statistical problems, and to communicate statistical results in accordance
with current APA style.
E.
Describe statistical hypothesis testing, including rejecting and failing to reject the
null hypothesis.
F.
Define Type I and Type II errors in statistical decision-making, the power of a
statistical procedure, and the maximizing of power.
G.
Describe the factors that inform the choice of a statistical procedure, choosing
appropriate statistical procedures to solve educational research problems.
H.
Describe the logic of selected statistical procedures.
I.
Identify a potential dissertation topic while reading about the dissertation process.
COURSE REQUIREMENTS AND ASSIGNMENTS
A.
Textbook Readings and Presentations
The candidate will complete assigned readings from course texts and course
documents. The candidate will also view corresponding instructor material
including presentations, tutorials, and notes.
B.
Course Requirements Checklist (CRC)
After reading the Course Syllabus and Student Expectations, the student will
complete the related checklist found in Module/Week 1
C.
Program Quizzes
The candidate will complete the Background Check Quiz and either the Ed.D. or
Ed.S. Advising Guide Quiz, whichever coincides with his/her degree.
D.
Discussion Board Forums (4)
Discussion boards are collaborative learning experiences. Therefore, the candidate
will complete 4 Discussion Board Forums in two parts: 1) the posting of a thread in
response to the stated prompt and 2) the posting of at least 2 replies to peers’
threads. The thread is due by Wednesday of the pertinent module/week and must be
150–300 words. The replies are due by the last day of the pertinent module/week
and must be 100 words. All posts must be in current APA format and include
citations and references.
E.
SPSS Assignments (4)
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EDUC 712 Course Syllabus
The candidate will use the SPSS software to complete the SPSS assignments.
Using the SPSS data set provided and corresponding case studies, the candidate
will choose the appropriate analysis, run the statistical procedure, analyze the
data, and report the results in a properly formatted APA results section. The
results section must be written using the candidate’s own words and structure;
using the wording and structure of the course examples will be considered
plagiarism. The candidate will also submit his/her SPSS output copy and pasted at
the end of the submitted Word document. Each SPSS Assignment is due by the
end of the identified module/week. When submitting the document, the candidate
must use the following file name: course, last name, first name, assignment (i.e.,
EDUC712_Doe_John_tTest).
F.
Check Your Understanding (CYU) Quizzes (12)
The candidate will take 12 open-book/open-notes quizzes covering the assigned
Warner textbook readings and corresponding course presentations and tutorials.
Each quiz will consist of 20 multiple-choice questions. Each quiz may be taken up
to 3 times. The score earned on the final attempt will be the score earned on the
quiz. There will not be a chance to revert back to an earlier score, even if it is
higher. The candidate will have 2 hours and 45 minutes to complete each quiz. It
is recommended that the candidate complete the comprehension questions at the
end of each Warner chapter to prepare for the quizzes, as many quiz questions are
derived from the comprehension questions.
G.
Final Exam: Check Your Understanding Test and SPSS Assignment
After completing the textbook readings, viewing the presentations, and
completing the course assignments, the candidate will complete a 2-part final
exam. The first part of the exam is a test consisting of 60 multiple-choice
questions covering all of the assigned readings from the Warner text and
corresponding course material. The candidate will have 2 hours and 45 minutes to
complete this part. The second part of the exam is an SPSS test similar to the
SPSS assignments completed in this course. Each portion of the exam will be
graded separately. The Final Exam: SPSS Assignment is to be submitted to both
Blackboard SafeAssign and LiveText.
VI.
COURSE GRADING AND POLICIES
A.
Points
Course Requirements Checklist
Discussion Board Forums (4 at 50 pts ea)
SPSS Assignments (4 at 70 pts ea)
Check Your Understanding (CYU) Quizzes
Final Exam
Check Your Understanding Test
SPSS Assignment
B.
(12 at 20 pts ea)
10
200
280
240
Total
120
160
1010
Scale
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EDUC 712 Course Syllabus
A = 960–1010 A- = 940–959 B+ = 920–939 B = 890–919 B- = 870–889
C+ = 850–869 C = 820–849 C- = 800–819 D+ = 780–799 D = 750–779
D- = 730–749 F = 0–729
C.
Late Assignment Policy
If the candidate is unable to complete an assignment on time, then he or she must
contact the instructor immediately by email.
Assignments that are submitted after the due date without prior approval from the
instructor will receive the following deductions:
1.
Late assignments submitted within one week of the due date will
receive a 10% deduction.
2.
Assignments submitted more than one week late will receive a 20%
deduction.
3.
Assignments submitted two weeks late or after the final date of the
course will not be accepted.
4.
Late Discussion Board threads or replies will not be accepted.
Special circumstances (e.g. death in the family, personal health issues) will be
reviewed by the instructor on a case-by-case basis.
D.
Plagiarism Policy
Plagiarism is prohibited. See the current APA manual for information about
plagiarism and how it is defined. Also, be aware that the examples in the course are
provided as examples and not templates. Copying the verbiage of examples will be
considered plagiarism. Additionally, academic misconduct includes not only
plagiarism, but also academic dishonesty falsification. This includes hiring a tutor
or consultant to complete assignments. See The Liberty Way for specific
definitions, penalties, and the processes of reporting.
E.
Professional Writing Policy
The candidate is expected to demonstrate professionalism in all writing
assignments. Assignments that display poor writing and numerous APA, spelling,
and/or grammar errors will be required to be rewritten or will result in a zero at the
instructor’s discretion.
F.
Email Policy
The course instructor will only email the candidate using the candidate’s
university email address; therefore, the candidate is responsible for regularly
checking his/her university email. Additionally, when sending an e-mail to the
instructor, the candidate must label it in the following manner: course, last name,
first name (i.e., EDUC712_Doe_John).The candidate must only e-mail the faculty
from his/her Liberty account.
G.
Disability Assistance
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EDUC 712 Course Syllabus
Teacher candidates with a documented disability may contact Liberty University
Online’s Office of Disability Academic Support (ODAS)
at LUOODAS@liberty.edu to make arrangements for academic accommodations.
Further information can be found at www.liberty.edu/disabilitysupport.
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EDUC 712 Course Schedule
COURSE SCHEDULE
EDUC 712
Textbooks: APA, Publication Manual of the American Psychological Association (Current).
Green & Salkind, Using SPSS for Windows and Macintosh (2014).
Rockinson-Szapkiw, Statistics Guide (2013).
Warner, Applied Statistics (2013).
MODULE/
WEEK
READING & STUDY
1
APA: chs. 3–5
Rockinson-Szapkiw: pp. 1–17
Warner: chs. 1–3
1 presentation
2 websites
Course Requirements Checklist
Background Check Quiz
Ed.D. Advising Guide Quiz
Ed.S. Advising Guide Quiz
DB Forum 1
CYU Quizzes (3)
10
0
0
0
50
60
2
APA: chs. 3–5
Green & Salkind: Units 1–5
Rockinson-Szapkiw: pp. 1–17
Warner: ch. 4
1 SPSS tutorial
SPSS Descriptive Statistics
Assignment
70
3
APA: chs. 3–5
Green & Salkind: Unit 6
(Lessons 22–24)
Rockinson-Szapkiw: pp. 18–20
Warner: ch. 5
2 SPSS tutorials
SPSS t Test Assignment
CYU Quiz
70
20
4
Warner: chs. 7, 9–10
DB Forum 2
CYU Quizzes (3)
50
60
5
APA: chs. 3–5
Green & Salkind: Unit 8
(Lessons 31–34)
Rockinson-Szapkiw: pp. 21–25
3 SPSS tutorials
SPSS Correlation & Regression
Assignment
70
6
Warner: chs. 6, 13, 17, 19, 22
DB Forum 3
CYU Quizzes (5)
50
100
7
APA: chs. 3–5
Green & Salkind: Unit 7
(Lessons 25–30)
Rockinson-Szapkiw: pp. 26–33
2 SPSS tutorials
SPSS ANOVA & MANOVA
Assignment
70
ASSIGNMENTS
POINTS
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EDUC 712 Course Schedule
MODULE/
WEEK
READING & STUDY
8
Review all course texts
Rockinson-Szapkiw: pp. 34–36
Review all SPSS tutorials
ASSIGNMENTS
POINTS
DB Forum 4
Final Exam: Check Your
Understanding Test
Final Exam: SPSS Assignment
50
120
160
TOTAL
1010
DB = Discussion Board; CYU = Check Your Understanding
NOTE: Each course week begins on Monday morning at 12:00 a.m. (ET) and ends on Sunday
night at11:59 p.m. (ET). The final week ends at 11:59 p.m. (ET) on Friday.
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