Muhlenberg College - Department of Psychology
Psychological
Statistics (PSY-103)
Course Syllabus (Spring
, 2011)
Instructor:
Learning Assistant:
|
Mark J. Sciutto, Ph.D.
Section 01: Danielle Wagner (DW240785@muhlenberg.edu)
Section 02: Samantha Busa (SB236323@.muhlenberg.edu)
|
Class Meetings:
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Section 01: T - R 9:30 - 10:45 a.m., Moyer 309
Section 02: T - R 1:30 - 2:45 p.m., Moyer 309
|
Office Hours
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T 3:00-4:00, Th 11:00 – 12:00, WF 1:00-2:00, or
by appointment. |
Required Texts:
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Jaccard, J., & Becker,
M. A. (2010). Statistics for
the Behavioral Sciences (5th edition). Belmont, CA: Wadsworth Cengage
Learning.
Textbook Companion
Website: Go to http://www.cengage.com/search/ and type in the author name or the
ISBN. Follow the links for the student companion site (Free but requires
registration)
|
Recommended Texts:
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American Psychological
Association (2010). Publication Manual of the American Psychological
Association (6th ed.). Washington, DC: Author.
(2 copies are available in
the Library)
Strongly recommended for
students pursuing graduate study in psychology.
|
Course
News, Documents etc.
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Moodle ( http://moodle.muhlenberg.edu/ )
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Course Objectives:
The final course grade will be determined as follows:
Exam 1 |
15% |
Exam 2 |
15% |
Final Exam/Portfolio |
30% |
Quizzes: |
10% |
Problem Sets |
20% |
Putting it Together Assignments |
10% |
Description of Course Requirements
In-Class Examinations: (30%) Two in-class examinations will be
administered. The exam format will include multiple choice, true/false, short
answer and application problems. If you have a conflict with any exam, you must
notify me at least 24 hours in advance. If an exam is missed, and I am not
notified ahead of time, you will receive a zero for that exam. Make-up exams
will only be given for the following reasons, (1) sickness—you must
bring me documentation verifying your illness, (2) a family
emergency/crisis/death—must be verified by the Dean of Students. If an exam
is missed for reasons other than those listed above and I am not notified ahead
of time, you will receive a zero for that exam. You must take the final exam during the designated final
period. If you have to miss the final, you will receive an “Incomplete” for the
class. You are then subjected to
College procedures regarding an incomplete grade (see student handbook).
Final Exam/Portfolio(30%): Throughout the course, you will be compiling a portfolio that reflects your personalized approach to understanding the major topics of this class. This portfolio will ideally be a concise reference source for your future experiences in psychology and research. The final examination will be cumulative and you will be able to use only your portfolio to complete the exam. The grade for this component of the class will be a weighted average of your score on the final exam (90%) and scores on various "checks" on your portfolio during the semester (10%). Click here for specific guidelines for the construction of the portfolio. The portfolio should be brought to every class. It is also extremely important that you back up your portfolio frequently and in multiple places. Computer glitches (and there will be some for sure) are not a valid excuse for failing to complete the portfolio.
Quizzes (10%): At the end of each class period, several short study questions pertaining to the topics just covered will be posted on the course website. At the beginning of the subsequent class, a brief quiz on those topics may be given. The content of these quizzes will correspond closely to the study questions from the previous class. Whether or not a quiz will be given on any given class will be determined randomly at the beginning of each class.
Problem Sets (20%): Near the beginning of the semester, we will collect data as a class on a common topic. We will use the data gathered from this study for 2 of the 3 problem set assignments. In these assignments, you will need to apply specific concepts from class to the analysis of meaningful research questions. Specifically, for each problem set, you will choose appropriate statistical analyses, use SPSS to conduct those analyses, and write up (in APA format) the results of those analyses. Guidelines for these assignments will be distributed in the first few weeks of the semester. It is important for you to note that these assignments are individual – not group- assignments. This means that you are to work on the problem set by yourself – not with your friends or roommate. More specifically, you SHOULD NOT use another person’s data set, printout or paper. And you SHOULD NOT work on any part of the SPSS analyses or final paper with another person. Any violation of this restriction will be considered a violation of the Academic Behavior Code and will result in an automatic failure for the assignment.
If you have problems with your computer program, you should immediately seek help from me or the learning assistant (Samantha Busa or Danielle Wagner) during the weekly workshops. If you have trouble writing the paper, please see me or a tutor in the writing center. NOTE: If you have a tutor for this class, he or she is NOT supposed to help you with the problem sets.
Putting It Together Assignments (10%): One of the classic pitfalls of learning statistics is that students often think they understand a topic when presented in class and in the text, but struggle when they see the same problems in a new context (e.g., when given a specific hypothesis to test in another class). To complicate this, practice problems in textbooks tend to provide practice only for the topic in each chapter with little connection to previous chapters. To address this issue, throughout the semester, there will be a series of brief practice assignments designed to help you pull together the various topics we cover throughout the semester. Ideally, these assignments will help you transfer what you have learned to new contexts (and better prepare you for the final exam!).
Attendance: Although attendance is not mandatory, it is strongly encouraged. Attendance records will be used in determining borderline courses grades (e.g., Johnny has a 92.95 average and has only missed one class--he gets an A; Jimmy also has a 92.95 average and he has missed 10 classes--he gets an A-). A word of caution: In the past, students who have missed multiple classes have not done very well. Your presence and active participation are essential to learning in this course.
Late Assignments: Late assignments
will be penalized 5% per day late (including weekend days).
Research in Psychology: * Research is the foundation of the information you learn in class and being an active participant in this arena allows you to better understand the field of psychology. Therefore, the Psychology Department has adopted a policy for its courses that requires students to interact with psychological research inside and outside of the classroom. You may satisfy the research requirement for this course in one of two ways:
(a) Participate in Research Studies: Give back to the research community through participation in studies being conducted by psychology peers and faculty members. Students must participate in three studies to satisfy the requirement for this class. You can find studies that qualify for this requirement by looking on the Research Board just outside the Psychology Department Office (Moyer 227).
or
(b) Analyze Statistics in the Popular Press: Students who do not wish to participate in studies or are unable to find studies with sign-up times that match their schedules, may complete an alternative research assignment (see me for details).
*Failure to
fulfill this requirement will result in up to a 3-point deduction from your
final course grade.
Academic Integrity: You are
expected to conduct yourself in accordance with the Academic Behavior Code of Muhlenberg
College (http://www.muhlenberg.edu/main/aboutus/dean-academic/integrity/ ). Honesty is an essential aspect
of academic integrity. Individual students are responsible for doing their own
work and for not taking credit for the effort and ideas of others. This
includes plagiarism, cheating and not contributing to group projects.
This obligation is based on mutual trust and is essential to meeting the goals
of this course. Academic
dishonesty of any type on exams, quizzes or other graded work will not be
tolerated.
Some
important points about academic integrity:
Students with Disabilities: Students with disabilities requesting classroom or course accommodations must complete a multi-faceted application/approval process through the Office of Disability Services prior to the development and implementation of an Accommodation Plan. Each Plan is individually and collaboratively developed with the directors or other staff of the following Departments, as appropriate: Academic Resource Center, Counseling Services, Student Health Services, and the Office of Disability Services. If you have not already done so, please contact the appropriate Department to begin a dialogue regarding your academic needs and recommended accommodations, auxiliary aids, and services. Students with disabilities who may need disability-related accommodations are encouraged to make an appointment to see me during the first two weeks of class.
Important Note
about Information Technology:
In this course, you will be required to make extensive use of the
information technology available at Muhlenberg. You will be using a software
program called Moodle © to exchange documents electronically, communicate
outside of class, and stay updated on class events. Students who are less comfortable with information
technology should schedule an appointment with me so that I can help orient you
to the various tools we will be using.
Being Successful in this Course
If you are like most students, you will find this to be a very challenging
course. The material can be difficult and the workload is typically more than
in other classes you have taken. However, success in this course is very much
within your control. My advice to you is to put forth a consistent and
appropriate effort and never hesitate to ask questions. Perhaps it is better to
let you hear this from your predecessors. Click here to read advice from previous classes.
Date |
Topic |
Links |
Readings |
1/18 (Tu) |
Class Introduction; the research process in psychology |
|
|
1/20 (Th) |
Statistical Preliminaries and Measurement |
|
J & B, Chpt. 1 |
1/25 (Tu) |
Measurement: Reliability and Validity |
|
J & B, Chpt. 1 (cont.)
|
1/27 (Th) |
Introduction
to SPSS; Portfolio; Problem Set
|
|
|
2/1 (Tu) |
Descriptive Analyses: Frequency Distributions and Graphing |
J & B, Chpt. 2 |
|
2/3 (Th) |
Descriptive Analyses (cont.); Measures of Central Tendency |
(Estimating Central Tendency from
Histograms) |
J & B, Chpt. 3 |
2/8 (Tu) |
Descriptive Analyses: Measures of Variability
|
J & B, Chpt. 3 (cont.) |
|
2/10 (Th) |
Percentiles, Percentile Ranks, Standard Scores and the Normal Distribution
|
|
J & B, Chpt. 4 |
2/15 (Tu) |
Standard Scores and the Normal Distribution (cont.);
|
|
|
2/17 (Th) |
Correlation and Regression: Descriptive Uses |
|
J & B, Chpt. 5 |
2/22 (Tu) |
Correlation and Regression: Descriptive Uses (cont.) |
|
J & B, Chpt. 5 (cont.) |
2/24 (Th) |
Exam #1 |
|
|
3/1 (Tu) |
Introduction to Statistical Inference & Hypothesis Testing |
(Central Limit Theorem Demonstration) (Central Limit Theorem Demo #2) |
J & B, Chpt. 7 |
3/3 (Th) |
Statistical
Inference & Hypothesis Testing (cont.)
(Problem
Set # 1 due)
|
|
J & B, Chpt. 8 |
3/4 – 3/13 |
Spring Break |
|
|
3/15 (Tu) |
Hypothesis testing about a single mean; Issues in Hypothesis Testing: Errors, Power, Effect Size, Statistical vs. Practical Significance, Directional Tests |
|
J & B, Chpt. 8 (cont.) |
Date |
Topic |
Links |
Readings |
3/17 (Th) |
Analysis
of Bivariate Relationships: Research Design Issues
|
|
J & B, Chpt. 9 |
3/22 (Tu) |
Hypothesis
Testing and Designs Comparing 2
Independent
Means
|
|
J & B, Chpt. 10 |
3/24 (Th) |
Hypothesis
Testing and Designs Comparing 2 Dependent Means
|
|
J & B, Chpt. 11 |
3/29 (Tu) |
Exam #2 |
|
|
3/31 (Th) |
One-Way ANOVA |
J & B, Chpt. 12 |
|
4/5 (Tu) |
One-Way ANOVA (Problem Set # 2 due) |
|
J & B, Chpt. 12 (cont.) |
4/7 (Th) |
One-Way
ANOVA; Overview of Repeated Measures ANOVA |
J & B, Chpt. 12 (cont.)
J & B, Chpt. 13
(pp. 404 – 415; 424 - 428)
|
|
4/12 (Tu) |
Factorial ANOVA |
J & B, Chpt. 17 |
|
4/14 (Th) |
Factorial ANOVA |
|
J & B, Chpt. 17 (cont.) |
4/19 (Tu) |
Factorial ANOVA |
J & B, Chpt. 17 (cont.) |
|
4/21 (Th) |
Correlation and Regression : Inferential Uses |
J & B, Chpt. 14 |
|
4/26 (Tu) |
Correlation and Regression : Inferential Uses |
J & B, Chpt. 14 (cont.) |
|
4/28 (Th) |
Non-Parametric Statistics: Chi-Square (Problem Set #3 due) |
|
J & B, Chpt. 15 |
5/3 (Tu)
|
Non-Parametric
Statistics: Chi-Square (cont.)
|
|
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5/9 – 5/13 |
Final Exam TBD |
|
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* Class schedule is tentative. Please check Moodle
for updates.