RESEARCH DESIGN AND STATISTICS

Psychology 220

Winter 1997

Meeting Times:

Class: 1:00-1:50 MWF

Laboratory: 1:00-3:50 T

Texts: Research Methods in Psychology, 4th ed. Instructor: John H. Krantz
Shaughnessy and ZechmeisterOffice Hours: TBD by Class
Statistical Applications for the Behavioral Sciences Office: Science Hall 112
Grimm (Perhaps this authors is well named?!) Phone: x 7307
Email: krantzj@hanover.edu

Class Tutor(s):___________________________________

Hours and Location:______________________________

Objectives:


Psychology is a science! You have heard that in every psychology course that you have taken so far but you have probably not yet confronted exactly what that phrase means. The fundamental objective of this course is to challenge you with the scientific approach to psychology. As a preview, using a scientific approach is a way of thinking: more particularly, it is specific ways of collecting information (called data), ways of looking at and manipulating the information (statistics for the most part), and the way in which conclusions are reached using that information. These techniques for thinking are not just essential for trying to contribute to psychological knowledge (that is, to do research) but also for understanding what a particular piece of psychological knowledge means. Hopefully, as a result of the course you will think differently about what you have read in psychology so far and also approach your other courses with a more critical eye. To best accomplish these goals we will both cover the theory behind several psychological methods and try our hand at as many as possible. The theory will be covered in class and we will use the labs to perform very small scale psychological research and see how these methods work in some real situations.



Course Outline:

Material covered in any course that you take at Hanover College represents more than a collection of facts or ideas loosely held together by the course title. There is an intricate structure to what is included and what is not included which makes that course content distinct from other courses. I find, however, that in the heat of a term students and faculty get caught up in the particulars of the day's lecture or fulfilling the next assignment and sometimes lose sight of how the specifics of the day fit into the overall structure of the course. It is a "lose sight of the forest for the trees" type of phenomenon. In order to help you understand and keep track of the overall structure of this course, I have prepared the following course outline. The reading assignments are listed within the outline so that you can see how the daily lectures relate to the overall structure of the course.

I. Background

A. Psychology as a Science and What is Psychological Research
Jan 6-17Shaughnessy Chapter 1
Week 1 and 2*Grimm Chapters 1-5 (these are review)
LAB1: Library Research (50 points)
LAB 2: Serial Position Effect (Results Section) Report #1 (25 points)

B. Ethical Issues in Research
Jan 20-24Shaughnessy Chapter 2, Appendix C
Week 3*LAB: Serial Position Effect (Method and Results) Report #2 (50 points)

II. Non-Experimental Methods of Research (Descriptive)

A. Observational Methods/Hypothesis Testing
Jan 27-31Shaughnessy Chapters 3
Week 4*Grimm 6, 7
LAB: Naturalistic Observation of Behavior (Method and Results) Report #3 (50 points)

B. Correlational Methods (Correlation and Regression)
Feb 3-7Shaughnessy Chapter 4, Appendix B
Week 5*Grimm 15, 16
LAB: Correlation of two psychological variables (Introduction, Method, Results) Report #4 (75 points)

III. Experimental Methods

A. Independent Groups Designs
Feb 10-14Shaughnessy Chapter 6; pp. 269-276
Week 6Grimm 8
LAB: Facial Perception I Report #5 (Full report, 75 points.)

B. Within Subjects Designs
Feb 17-21Shaughnessy Chapter 7; pp. 276-280
Week 7*Grimm 9
LAB: Midterm Examination

C. Complex Designs
Mar 3-14Shaughnessy Chapter 8; pp. 280-285
Week 8*,9*Grimm 12,13
LAB1: Facial Perception II Report #6 This is a poster presentation (75 points)
LAB2: Muller-Lyer Illusion Report #7 (75 points)

D. Issues in Experimental Analysis
Mar 17-21Shaughnessy pp. 285-290
Week 10*Grimm 14
LAB: Off or Discussion - will announce later

IV. Alternative Research Methods.

A. Single Subject Designs/Nonparametric Designs
Mar 24-28Shaughnessy Chapter 10
Week 11*Grimm 18
LAB: Effectiveness of Schedules of Reinforcement

This is part of class assignments

B. Quasi-Experimental Designs
Mar 31-Apr 4Shaughnessy Chapter 11
Week 12*LAB: OFF (We might have some class activities.)

V. Presentation of Final Lab Projects.
Apr 7-11
Week 13LAB: Poster presentation of own projects.

Apr 14-18 During Final Exam Period Final Exam


Assignments and Examinations:

  1. 1.
  1. Get this syllabus and bring to class on Wednesday, Sep 4. (10 points)
  1. 2.
  1. Assignment 2: Create a file in a word processor of your choice. Save the document as a text file and include that file to me in another e-mail message (this is a second message). I will cover the specifics for this assignment in a laboratory class. Both assignment 1 and 2 must be completed one week before the first journal assignment is due as you will use these techniques to submit your papers. Due by the end of the second week. (10 points)
  1. 3.
  1. Assignment 3: I have had the Academic Computing center create a news discussion group for the class. This is to be a means for you to communicate ideas/successes/frustrations/questions to each other and to me. This third assignment is for you to post a message to the class on the group. The initial post is due on the newsgroup by the end of the third week. (The initial post is worth 20 points. Continued use of the group is worth 30 points.)

Class Participation:

Participation in and regular attendance of classroom activities and discussions will be worth 100 points. I expect each student to participate fully in discussions in class and laboratories. These discussions are integral to getting the greatest possible benefit from this class.

Grading:

I grade on a point system which means that each assignment of the course is worth a certain amount of points towards the final grade. When you get an assignment back you will be given a grade with the points earned over the total number of points. Thus, you should be able to follow your progress in the course on your own. There are a total of 1500 points in this course.

Grades will be assigned as follows:
GradePoints Needed
A
1500 - 1350
B
1349 - 1200
C
1199 - 1050
D
1049 - 900
F
< 900

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