Contact Information
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This course is designed to cover hypothesis
testing in the behavioral sciences, building on concepts learned in
PSY/ECO/GEO/POS
138. The logic, assumptions, computation, and interpretation of
inferential
statistics will be covered, including one-sample, related-samples, and
independent-samples t-tests; one-way and two-way ANOVA; correlation and
bivariate regression; and non-parametric procedures. In addition
to the logic of hypothesis testing, PSY 340 will integrate the use of the
software package SPSS as a tool for data management and hypothesis
testing.
Writing skills will also be developed through a research report and written
exam questions.
Extra-credit opportunities
score = 0.30*(homework average) + 0.10*(quiz average) + 0.45*(exam average) + 0.15*(project)The total score will be computed and available within the Mallard web page for each student throughout the semester. Grades will be assigned based on the following ranges:
Grade | Percentage Score Range |
A | 90 - 100 |
B | 80 - 89.9 |
C | 70 - 79.9 |
D | 60 - 69.9 |
F | 0 - 59.9 |
To ensure a smooth flow of discussions, the following policies are established: Students are encouraged to listen with an open mind, respect the contributions of others, and avoid personal attacks. Students will often be faced with alternative viewpoints from the professor or their peers. Thus, students should be prepared to defend their own positions with empirical data, obtained from the assigned readings, and reasoned argument.
You are expected to do your own work. Plagiarism and cheating of any sort will not be tolerated. Either behavior will result in a grade of "F". Note that plagiarism includes situations where you meet with other students for group discussions and are asked write a summary. Unless otherwise instructed, this means that each participant in the group must write their own summary. Making up false excuses for absences will also be considered cheating and may result in a grade of "F" for missed work.
And finally, if you have any questions regarding anything in the syllabus and or the course in general, please feel free to ask. Talk to me in class, via phone, or e-mail. Don't just assume that you know (or should know) the answer, I may not have been clear enough or may have forgotten to mention something.
Illinois State University is an institution and a faculty concerned with helping all of our students feel welcome, and with helping all students learn and develop to their full potential. Any student needing to arrange a reasonable accommodation for a documented disability should contact Disability Concerns at 350 Fell Hall, 438-5853 (voice), 438-8620 (TDD).
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Class Dates | Tentative topic calendar | Readings | Lectures | Labs | Homework | |
WK1 | Aug 22 | Introduction and syllabus review. | syllabus | lecture | Lab1 | |
Aug 24 | Basic research methodology & Review of SPSS |
SPSS tutorials 1 | 2 | lecture | Lab2 | ||
WK2 | Aug 29 | Describing Distributions I (Graphically) | Chapter 1 | lecture | Lab3 | Homework #1 Due: Wed, Sept 7 |
Aug 31 | Describing Distributions II: Center & Variability | Chapter 2 | lecture | Lab4 | ||
WK3 | Sept 5 | |||||
Sept 7 | Correlational studies | Chapter 3 | lecture | Lab5 |
Homework #2 Due: Wed, Sept 14 |
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WK4 | Sept 12 | Prediction | Chapter 4 | lecture | Lab6 | Homework #3 Due: Wed, Sept 21 Homework 3 key |
Sept 14 | Bi-variate Regression & Multiple regression | Chapter 4 | lecture | Lab7 | ||
WK5 | Sept 19 | Probability and the Normal Distribution | Chapters 5 & 6 | lecture | Lab8 | Homework #4 Due: Wed, Sept 28 |
Sept 21 | Hypothesis testing | Chapters 5 & 6 | lecture | Lab9 | ||
WK6 | Sept 26 | |||||
Sept 28 | Sampling Distributions | Chapter 7 | lecture | Lab10 | Homework #5 Due: Wed, Oct 12 | |
WK7 | Oct 3 | Effect sizes and power I | Chapter 8 | lecture | Lab11 | |
Oct 5 | Effect sizes and power II | Chapter 8 | lecture | Lab11 | ||
WK8 | Oct 10 | Hypothesis testing: t-tests I | Chapters 9 & 10 | lecture | Lab13 | Homework #6 Due: Wed, Oct 19 |
Oct12 | Hypothesis testing: t-tests II | Chapters 9 & 10 | lecture | Lab14 | ||
WK9 | Oct 17 | Hypothesis testing: t-tests III | Chapters 9 & 10 | lecture | Lab15 | Homework #7 Due: Wed, Oct 26 Solutions |
Oct 19 | Hypothesis testing: t-tests IV | Chapters 9 & 10 | lecture | Lab16 | ||
WK10 | Oct 24 | Hypothesis testing for correlation and regression | Chapter 10 | lecture | Lab17 | |
Oct 26 | Hypothesis testing for correlation and regression | Chapter 10 | lecture | Lab18 | ||
WK11 | Oct 31 | |
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Nov 2 | Single factor between groups ANOVA | Chapter 11 | lecture | Lab19 | Homework #8 Due: Nov. 16 |
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WK12 | Nov 7 | Single factor between groups ANOVA | Chapter 12 | lecture | Lab20 | |
Nov 9 | Single factor Repeated measures ANOVA | lecture | Lab21 | |||
WK13 | Nov 14 | Single factor Repeated measures ANOVA | Research Project | lecture | Lab22 | Homework #9 Due: Nov. 30 |
Nov 16 | Factorial ANOVA | Chapter 13 | lecture | Lab23 | ||
WK14 | Nov 21 | |||||
Nov 23 | ||||||
WK15 | Nov 28 | Factorial ANOVA | Chapter 13 | lecture | Lab24 |
Homework #10 Due: Dec. 7 Final Project Due Dec. 12 |
Nov 30 | Mixed design ANOVA | lecture | Lab25 | |||
WK16 | Dec 5 | Putting it all together | Chapter 16 | lecture | Work on Final Project | |
Dec 7 | Review for the final exam | lecture | ||||
Finals Week |
FINAL EXAM 8 AM Wed Dec. 14 |
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