STATISTICS
KAAP 602
Fall 2017
Tentative
Course Outline
Office:
102 Star Annex (Star
Trailer Park)
Telephone:
(302) 831-0515
Hours: TR 10-12 or by appointment
2.
To
be able to calculate and interpret basic descriptive statistics.
3.
To
be able to appropriately apply and interpret various tests of
significance.
4.
To
exhibit a knowledge of fundamental experimental design theory by being
able to
appropriately analyze data from various experiments.
5.
To
exhibit the ability to use existing computer programs to calculate
statistical
measures.
Required Course Textbook:
Andy Field,
Discovering Statistics Using IBM SPSS Statistics, 4th Edition, Sage
Publishing, February 2013
Supplementary Online (and FREE) Textbooks:
Textbook 1: IBM
SPSS Statistics for Windows 22.0: A Basic Tutorial
Required
Software:
Available from: www.onthehub.com
Note: Make sure to select the appropriate platform (IBM, Mac) and the appropriate operating system.
Evaluation:
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Midterm Exam (in
class): |
50% |
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Final Exam (in
class): |
50% |
Please note that the final exam is cumulative. In addition, make-up exams will not be administered for unexcused absences. Please refer to the University's Policy on Absences for details on what constitutes an excused absence.
Homework:
Assignments will be discussed in class on the day
they are due, so it's in your best interest to insure that the
assignments are completed on time. While the assignments do not factor
into the course grade, they are integral in providing a comprehensive
understanding of the material, and students who are diligent about
completing the assignments will be better prepared to successfully
complete the exams and to apply material learned in class to their own
research.
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Course Outline: |
Textbook Link |
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I. Descriptive
Statistics |
Field, Chapters 2 & 3; Textbook 1; Textbook 2 |
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A. Scales of numbers |
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B. Measures of
central tendency |
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C. Measures of
variability |
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D. Normal probability |
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E. Standard scores |
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F. Percentiles |
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II. Correlation
and Regression |
Field Chapter 7; Textbook 1;
Textbook
2 |
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A. Basic correlation
theory |
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B. Rank Order
correlations |
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C. Pearson
Product-Moment correlation |
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D. Regression and
prediction |
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E. Multiple
correlation |
Field Chapter 8; Textbook 1;
Textbook
2 |
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1. Part correlation |
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2. Partial
correlation |
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F. Multiple
Regression |
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III. Inferential
Statistics: |
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A. One and
Two-tailed tests |
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B. t-test for
dependent and independent groups |
Field Chapter 9; Textbook 1;
Textbook 2 |
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C. One-way Analysis
of Variance (ANOVA) |
Field Chapter 11; Textbook 1;
Textbook
2 |
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D. Two-way ANOVA |
Field Chapter 13; Textbook
2 |
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E. Post Hoc Tests |
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F. Repeated Measures
designs |
Field Chapter
14; Textbook
2 |
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G. Designs with
between and within subject factors |
Field Chapter 15 |
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IV.Analysis
of Frequencies: |
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A. General features
of Chi-Square |
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B. Chi-Square
goodness of fit |
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C. Chi-Square test
of independence |
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V. Analysis of Single Subject Data A. Simulation Modeling Analysis |
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VI. Additional
Topics (as time permits): |
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A. Logistic
Regression B. Power and Sample
Size Estimation
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Field Chapter 19
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C. Multivariate tests |
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1. MANOVA |
Field Chapter
16; Textbook
2 |
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2. ANCOVA 3. Discriminate
Function Analysis |
Field Chapter 12 |
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Supplementary Links:
Tables: http://www.statsoft.com/textbook/distribution-tables/
Power, Effect Size, and Sample Size Calculation Resources:
GPower Example for Independent t-tests
* Power Analysis, Statistical Significance and Effect Size
A Comparison of Effect Size Statistics
What Effect Size is, and Why it is Important
Statistics Solutions, Effect Size
Understanding Effect Sizes in User Research
Calculating and reporting effect sizes
Regression Documents/Notes
ANOVA, t-Test Documents/Notes
Introduction to ANOVA
(PowerPoint)
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Date Due |
Directions |
Data and Supplementary Files |
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9/6/17 |
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9/13/17 |
Assignment #2 | |
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9/20/17 |
Assignment #3 | Album Sales,
Inclass
Problem1.xls, InclassProblem1.html, Week 4 Outline |
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PGA2004.sav, PGA2004.txt, ANOVA Intro.ppx, LectureVideoPart1, LectureVideoPart2 |
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In-class Practice: 1-way
ANOVA, 2-way ANOVA with IG, ANOVA Terms |
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In-Class Practice: PracticeProblems#1,
PracticeProblems#2 |
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10/25/17 |
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11/1/17 |
Read
Logistic Regression |
In-Class
Data Set (From Field text) |
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| 11/15/17 |
Assignment #9 | BPBP Description, BPBP Data, DiscrimHomework.sav,
Annotated
Output |
| 11/22/17 |
Thanksgiving Break | |
| 11/29/17 |
Assignment
#10
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12/6/17 |
Assignment #11 | ShoulderMeasureReliability.xlsx |
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12/13/17 |
Final Exam |
10:30-12:30 in STAR229 |