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Professor:
Dr. Larry Morton; Office
Ext: #3835 (Office 3342A) |
Date: Monday 5:00 - 7:50 p.m. Room:
2223 |
E-mail:
morton@uwindsor.ca |
Site:
http://web2.uwindsor.ca/courses/edfac/morton/510.htm |
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Introduction
The Statistics in Education course is more of an applied statistics
course than a theoretical course. While you will learn the basic
concepts, vocabulary, and tests used in educational statistics, the
main focus is upon giving you the skills to actually use the
appropriate software to run the statistical tests and correctly
interpret the results.
You will actually be working with raw data, and data sets, provided
by the instructor, as well as a data set that you generate.
NOTE! You will need a memory stick to transfer your
data files back and forth between your in-class computer and your
home computer. |
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Texts |
Required |
Coladarci, T., Cobb, C. D., Minium, E. W., & Blake, R.
B. (2008). Fundamentals of Statistical Reasoning in Education (2nd
edition). John Wiley & Sons. |
Note, this required text contains a CD with a student
version of SPSS |
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Suggested as Primary Resources |
Ritchey, F. J. (2008). The Statistical Imagination (2nd
edition). Boston: McGraw Hill |
Contains a CD with a student
version of SPSS |
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Huck, S. W. (2004). Reading statistics and research.
(4th edition). Pearson Education Inc. |
Rowntree, D. (2004). Statistics without tears.
Boston: Pearson Education Inc. |
Fraenkel, J., Wallen, N. & Sawin, E.I. (1999). Visual statistics.
Needham Heights, MA: Allyn & Bacon, A Viacom Company. |
Pavkov, T. W. & Pierce, K. A. (2003). Ready, Set,
Go! A student guide to SPSS 11.0 for Windows. Boston:
McGraw-Hill |
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Suggested as Secondary Resources |
Heinman, G. W. (1992). Basic statistics for the
behavioral sciences. Boston: Houghton Mifflin Company. |
Ferguson, GA, & Takane,
Y. (1989). Statistical analysis in psychology
and education (6th ed.). New York: McGraw-Hill. |
Any current introductory statistics text. |
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Advanced Resources |
Tabachnick, B.G. & Fidell, L.S. (1996, 2001). Using
multivariate statistics. Boston: Allyn & Bacon. |
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Assignments |
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25% |
2. Project based on data collected, analyzed, and
interpreted. (Last Class) |
25% |
3. Mid-Term Test |
15% |
4. Attendance and Participation |
10% |
4. Final Test |
25% |
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OUTLINE (Tentative) |
Date (Tentative) |
Topic |
Content |
Chapters |
Lab Application |
Descriptive
Statistics |
Jan 5th Wk1 |
Introduction |
Basic Statistical Notation |
Basic Concepts |
Basic Vocabulary |
Basic Variables |
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SPSS Basics |
-Enter some raw data |
-Loading a file |
-Editing a file |
-Working with Files |
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Jan 12 Wk2 |
Descriptive Statistics |
Frequencies |
Percentiles |
Graphing |
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Assignment #1 |
-Frequencies |
-Bar graphs |
-Pie charts |
-Box plots |
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Jan 19 Wk3 |
Central Tendency &
Variation |
Mode |
Median |
Mean |
Range |
Variance |
Standard deviation |
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Assignment #2 |
-Descriptives: Mean, Median, Mode |
-Skewness & Kurtosis |
-SD, Range, Standard Error |
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Jan 26 Wk4 |
Correlation |
Scatterplots |
Types of relationships |
Strength of relationships |
Problems with correlations |
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Assignment #3 |
-Scatterplots |
-Bivariate Correlation |
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Feb 2 Wk5 |
Reliability
, Validity &
Correlation |
Testing for Reliability |
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Types of Validity |
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Assignment #4 |
-Cronbach's alpha |
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-Correlation |
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Feb 9 Wk6 |
Catch-Up |
Work on your Portfolio Assignments. Work on
your Project Data Assignment. |
Read ahead (Ch 9-11) |
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Feb 16 |
Holiday |
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Feb 23 |
Test 1 |
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Inferential
Statistics |
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Mar 2 Wk8 |
Inferential Statistics |
Foundations -- Probability |
Estimation (Point and Range) |
Hypothesis Testing |
Effect Size |
Power |
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Coladarci et al (Ch 9-12, 19) |
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Mar 9 Wk9 |
t-test |
Confidence Intervals |
Dependent |
Independent |
Post hoc and Planned |
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Coladarci et al (Ch 13-15) |
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Assignment #6 |
-t-tests |
-paired samples |
-independent samples |
-Selecting cases |
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Mar 16 |
Reading Week |
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Mar 23 Wk10 |
ANOVA |
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Oneway |
Two-way |
Interactions |
Repeated Measures |
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Assignment #7 |
-Oneway ANOVA |
-Two-way ANOVA |
-Post-hoc analyses |
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Mar 30 Wk11 |
Advanced Statistics (Overview) |
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Apr 6 Wk12 |
Regression |
Regression lines |
Prediction |
Discriminant Function |
Multiple Regression |
Logistic Regression |
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Assignment #9 |
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-Multiple Regression |
-Discriminant Function Analysis |
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--Your data set |
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Distributed |
Non Parametric Tests |
Chi-Square |
Mann-Whitney U |
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Exam Week |
Exam |
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Student Evaluation of Teaching
Student Evaluation of Teaching (SET) forms will
be administered during the last two weeks of each class schedule.
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Announcements |
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Portfolio Assignments: |
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In-Class Assignment --January 5th
1. (a) Generate an SPSS file (data generated in class). (b) Save an
SPSS file. (c) Load an SPSS file.
2. SPSS (a) Views, (b) Variables--Types, Labels, Values, (c)
3. Some Basics: (a) computing variables, (b) recoding variables, (c)
adding and inserting variables... 4. More Basics: (a) adding cases, (b)
sorting cases, (c) selecting cases...
5. Reports: Cases and Summaries 6. Cutting and Pasting into MS-Word |
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Assignment #1 for Portfolio-- for
January 12th
(Assigned in Class) |
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GETTING A SENSE OF THE DATA |
-Frequencies |
-Bar graphs |
-Pie charts |
-Box plots |
Assignment #2 for Portfolio -- for
January 19th:(Assigned in Class) |
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LOOKING CLOSER AT THE DATA |
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Frequencies
Descriptives
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Assignment # 3 (Assigned in Class) |
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RELATIONS BETWEEN VARIABLES |
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Scatterplots
Correlations |
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Assignment #4 |
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Using Correlation Reliability, validity, internal
consistency,,, |
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Assignment #5 |
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Crosstabs and Chi-square |
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Assignment #6 |
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t-tests |
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Assignment #7 |
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ANOVA |
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Assignment #8 |
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MANOVA |
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Assignment #9 |
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Regression |
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Marks Posted
Note. For the Portfolio and Project the marks were
based on "Wording," Interpretation," "Format," and Statistics
Computed/Reported." |
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Number |
Test1R |
Test2 |
Pfwording |
Ptinterp |
Ptformat |
Ptstats |
Portfolio |
Pjword |
Pjinterp |
Pjformat |
Pjstats |
Project |
ProjPer |
Attend |
Total |
Letter |
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