Psychology 2231A: Psychological Statistics

Carroll 2266

MWF, 9:00-9:50

 

Professor        Dr. Janie Wilson

Office              1050G Psychology Department (Carroll)

Phone             681-5580 (my office); leave message if no answer

E-Mail            jhwilson@georgiasouthern.edu

Web                http://personal.georgiasouthern.edu/~jhwilson/

Office Hours  9:50-10:50 MWF, and by appointment

 

Required Texts

Wilson, J. H. (2005). Essential Statistics. Upper Saddle River, NJ: Prentice Hall.

 

Prerequisites

To be in this course, you must have received a C or better in PSYC 1101.

 

Course Overview

This course will provide information concerning descriptive and inferential statistics. We will cover basic statistical designs such as chi square, correlation, regression, and t-tests. You will learn how to calculate many statistics by hand before learning to analyze data using SPSS, a popular computer program for statistics. Of course, theoretical bases of statistical tests will be of primary importance. It will be necessary for you to understand the best test to use in a given situation.

 

Learning Objectives

After taking this course, you should

·                     understand the theory behind basic statistical analyses

o   related-samples t-test

o   independent-samples t-test

o   correlation

o   regression

o   goodness-of-fit test (one-way chi square)

o   test of independence (two-way chi square)

·                     be able to calculate the above statistical analyses by hand

·                     be able to calculate statistical analyses using SPSS

·                     be capable of making sense of SPSS output

·                     create graphs of data using EXCEL

·                     be competent when deciding which statistic to use for a specific study design

In addition, you should have completed a workbook of examples, including data layout in SPSS, SPSS output, results in plain English, and EXCEL graphs.

 


Attendance Policy

There is no attendance policy. However, I believe it will be difficult to perform well without class instruction. Information given in class will not be repeated in the event of an absence, but you can make prior arrangements with a colleague to take notes for you if you wish. If you make an appointment with me to go over missed information, you must bring with you copies of two students’ notes, and have questions to clarify specific parts of the notes.

 

Class Participation

Participating in class is important for your personal growth as well as class learning. I understand that each class is composed of different personalities, and I want quiet students be given the opportunity to answer questions as often as extroverted students. To facilitate this “fairness,” I will choose students to answer questions during each class. If you are called on and do not know the answer, you may use the “pass” option by saying “I pass.” I feel that this format will enhance concentration and participation. Two percent of your grade will be based on class participation.

 

Homework/Quiz Reviews

Due to the many homework assignments required in this class, they cannot be turned in late. In the event of unforeseen circumstances, you may choose not to turn in one homework assignment during the semester. The lowest homework or quiz grade will be dropped. I will give you further instructions concerning the format of homeworks when they are assigned.

Homework will always be due at the beginning of each class, so you will not want to be late. When you enter class, please place your homework on the desk at the front of the room. After 9:00am, your homework will not be graded (a zero), but I will be glad to offer feedback.

Included in this portion of your grade will be quiz reviews. These will be used to assess your knowledge of the subject matter throughout the semester.  Please listen carefully in class, as all quiz reviews will be announced at least one class day in advance.

 

Tests

Tests will consist of multiple-choice theory questions in addition to questions designed to assess your ability to apply the correct formulas and calculate the correct statistic in a specific research situation.

You will be responsible for bringing a Scantron sheet and a No. 2 pencil to class for tests and the final exam. Please bring Scantron Form No. 20092 (small brown sheet). If you do not bring the appropriate scantron with you on the day of a test, I will grade your test at the end of the term.

If you must miss a test, you should contact me prior to the test date. If an unavoidable event occurs, please contact me as soon as you are able to do so. Regardless of the reason, I cannot provide a separate but comparable multiple-choice/short-answer test; therefore, you may be required to take an essay and/or problem-based test of the material. This is not designed to punish you. You will be given 50 minutes to complete all make-up exams on 12-4-09.

 

Computer Project

Eight percent of your grade will be a computer project, which is a workbook you will create to remind you how to analyze different data sets. The workbook will contain at least one example of each statistic you learn in this course. You will be given specific instructions on the computer project in class. Due by noon on 11/20/09.

 

Moral Conduct

Although I realize that you all know right from wrong, I need to tell you that cheating will not be tolerated.  If you are caught cheating, I will feel morally obligated to seek the maximum punishment available at Georgia Southern.  If you have any questions about acceptable and unacceptable conduct, please refer to the Georgia Southern Student Conduct Code Policies and Procedures.

 

Grades                                              Grading Scale

Class Participation      2%                              90-100%          A

Homework                  25%                             80-89               B

Tests (6)                      50%                             70-79               C

Computer Project        8%                              60-69               D

Final Exam                  15%                             <60                  F

                                                             

 

 

Lecture Schedule

(Please note that this schedule is subject to change if less or additional time is needed to cover a topic.  In the event that this occurs, we will adjust the following schedule.)

 

8/17/09            Introduction to psychological statistics

8/19/09            Math                                                                                        Ch. 1

8/20-24/09       Samples, populations, and research design                             Ch. 1              

8/26-28/3/09    Variables and graphing                                                           Ch. 2

8/31/09            Introduction to EXCEL                                                         (notes)

 

9/2/09              Test 1

 

9/4/09             Measures of central tendency                                                 Ch. 3

                        Introduction to SPSS

9/1/09              Labor Day (no classes)

9/9/09                SPSS continued

9/11-16/09       Measures of variability                                                            Ch. 4

                        Review SPSS

 

9/18/09            Test 2

 

9/21/09            Descriptive z-scores                                                                Ch. 5

9/23-25/09       Inferential z-scores                                                                  Ch. 6

9/28-30/09    Hypothesis testing                                                                  Ch. 7

 

10/2/09            Test 3

 

10/5-7/09         Single-sample t-test                                                                 Ch. 8

10/9-14/09     Related-samples t-test                                                             Ch. 8

                        SPSS application

10/12/09          Last day to withdraw

10/16-21/09     Independent-samples t-test                                                     Ch. 8

                        SPSS application

 

10/23/09          Test 4

 

10/26-30/09     Correlation                                                                              Ch. 11

                        Correlation on SPSS

11/2/09            Artificially low and high correlations                                     Ch .11

11/4/09            Scatterplots (SPSS and EXCEL)

11/6-11/09       Linear regression                                                                     Ch. 12

                        Regression on SPSS

 

11/13/09          Test 5

 

11/16-18/09     One-way chi-square (goodness-of-fit test)                             Ch. 13

11/20/09          Two-way chi-square (test of independence)                           Ch. 13

                        Test of independence on SPSS

 

11/23-27/09     Thanksgiving Holiday (no classes)

 

11/30/09            Two-way chi-square (continued)                                            Ch. 13

 

12/2/09            Test 6

 

12/4/09            Make-up tests

 

12/9/09          Final Exam (cumulative)   7:30-9:30am

 

One final note: At this stage in your education, you should have learned to empower yourself.  You are in charge of your life.  It is your responsibility to complete your work as specified and turn it in on time.  In order to perform well, you must read and listen carefully at all times to know what is expected of you.  I trust that you will allow yourself to devote your energy to this class and your college career.

 

Seriously the final, final note: I really like students. I know we’ll get along great. I just have to be rigid and serious in this document because it’s sort of like a contract. I’m much nicer in person! I will help you in any way I can to make sure you learn the material. My main rule is that I have to treat everyone the same to be fair to all students. So if I ever have to tell you I won’t take your homework late, remember that I am just trying to be fair to students who managed to get their homework in on time (even though their lives might have had some bumps too).

 

Thank you!

Janie