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Material Type: ClassMaterial; Professor: Govern; Class: BEHAVIORAL STATSTICS; Subject: Psychology; University: Towson University;
Typology: Lecture notes
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Dr. Govern Office: LA 2143 Office Hours: Psychology 212.004, 212.005 Office Phone: 410-704-2372 T, Th, F 8:30-9:30. Fall 2011 Psych Dept: 410-704-2634 also by appt email: govern@towson.edu BEHAVIORAL STATISTICS SYLLABUS TEXT Pagano, R. Understanding Statistics in the Behavioral Sciences. 9th^ ed. Wadsworth. You wouldn’t miss much if you used the 8th^ edition. COURSE CATALOG DESCRIPTION Distributions and graphs, notation, levels of measurement, percentiles, measures of central tendency and variability, principles of probability, the normal curve, standard scores, sampling theory, hypothesis testing, significance of differences, correlation and prediction, Chi square, non-parametrics, one-way analysis of variance. Not open to those who have successfully completed PSYC 111. Prerequisites: MATH 109 or higher except MATH 204. GenEd I.C. OBJECTIVES Psychology 212 addresses the following learning goals identified by the American Psychological Association: Goal 1: Students will learn the major concepts of statistics including conceptual knowledge of various statistical procedures and when it is appropriate to use each one. Goal 2: For various types of research design, students will learn to: Use descriptive statistics to organize, simplify, and summarize data. Compute and interpret various inferential statistics (including t, r, and F). Goal 3: Students will learn to read, interpret, and critically evaluate the results and conclusions of statistics as reported in research articles and the popular press. ATTENDANCE Roll is taken during each class period. Class attendance is strongly suggested because many topics covered in class are not addressed in the textbook. (...and if you don't come to class, I'll make a note of it on your PERMANENT RECORD CARD - wherever that is ...). Also, attendance will be considered when deciding whether a borderline average will be assigned the higher or the lower course grade. CLASS AND LABORATORY ASSIGNMENTS You will be given several assignments to do outside of class. Some of these assignments will be related to the laboratory work that we do, and others will be based on class and lecture material. Collectively, the homework problems will be worth approximately 10 percent of your final grade. More importantly, these problems provide excellent practice for the examination questions. Hopefully, students will quickly recognize that completing these assignments is essential to learning the material, and that it is better to work on the problems throughout the course than to either make an initial attempt before they are covered in class or not to make any attempt at all.
There will be four equally weighted in-class examinations. Each exam will consist of multiple choice and some short answer essay questions that cover both conceptual material (that stuff I ramble about in between giving you formulae) as well as calculation types of problems (on fairly small data sets). THIS IS NOT A MATH COURSE - AT LEAST ONE HALF OF THE EXAM QUESTIONS WILL NOT INVOLVE ANY CALCULATION. Grading of these exams is on an absolute scale and not curved. Examinations are given on dates scheduled. MAKE-UP EXAMS ARE ONLY PERMITTED WHEN A VALID MEDICAL EXCUSE IS PRESENTED. IF YOU MISS AN EXAM YOU MUST CONTACT ME WITHIN 24 HOURS OF THE EXAM WITH THE REASON FOR YOUR ABSENCE OR NO MAKE UP WILL BE GIVEN. A VOICE OR EMAIL MESSAGE IS SUFFICIENT – YOU DON’T HAVE TO SPEAK WITH ME DIRECTLY. Hopefully, students will realize that it is better to work on the material throughout the course than to try to cram it in as an exam approaches. EXTRA CREDIT (OPTIONAL) Students can earn up to 12 extra credit points by participating in research through the department’s research pool. If you would like to avail yourself of this option, you must sign up for an account on the website: researchpool.towson.edu and click the “New Participant?” link in the lower left corner of the screen. A comprehensive set of instructions is available if you click the “Need help using this website?” link on the research pool homepage. Be sure to select this course so that the credits you earn will be visible to me when I check the class list. Each posted study will include the number of credits it is worth. Studies under 30 minutes in duration are worth 1 credit, 31-60 minutes are worth 2 credits, etc. Extra credit points will be awarded as follows: If you earn 1 credit you get 3 points; If you earn 2 credits you get a total of 7 points; 3 credits get you a total of 12 points. COURSE GRADE Final course grades will be calculated as follows: Your score Exam I 100 possible points _____ Exam II 100 possible points _____ Exam III 100 possible points _____ Exam IV 100 possible points _____ Homeworks 50 possible points _____ Optional Extra Credit 12 possible points _____ Course Grade 462 possible points _____ Final grades will be calculated as follows based on 450 possible points (i.e., not earning extra credit points does not count against you) and assigned as follows: : 416 and above =A 329-346 =C 405-415 =A- 392-404 =B+ 306-328 =D+ 374-391 =B 284-305 =D 360-373 =B- 283 and below =F 347-359 =C+ REPEATING THIS COURSE This course may be repeated only once without the prior permission of the Academic Standards Committee. SPECIAL NEEDS If you need an accommodation due to a disability, please make an appointment to see me, and bring a statement from Disability Support Services (x42638) authorizing your accommodation.
Dates (Approximate) Chapters Subject Aug 31, 1,2 Basic Definitions, Concepts, and Operators Sept. 7, Sept. 12,14 3 Distributions, Graphs, and Percentile Points Sept. 19,21 4 Measures of Central Tendency Measures of Dispersion Sept 26 Exam I Sept 28, 5 Normal Distribution and Standard Scores Oct 3 Oct 5,10 6 Correlation Coefficients and Causality Oct 12,17 7 Regression, Slope, Intercept, r^2 , Standard Error of Estimate Oct 19 Exam II Oct 24,26 8 Probability Oct 31, Nov 2,7 Chapters 12-13 plus: Inference, and Hypothesis Testing: One sample pp 242-243 (top) tests ( z and t). Central Limit Theorem pp.244 (middle) – 251 p 256 Nov 9,14 14 Inference Testing with means: Two sample tests Nov 16 Exam III Nov 21,28 15 One-way Analysis of Variance Nov 30 16 Two-Way Analysis of Variance: Main and Dec 5,7,12 Interaction effects Dec 14 17 Chi-square Wednesday Dec 21 8:00 am Final Exam for Section 212.004 (meets at 8 am during the semester) Friday, Dec 16 8:00 am Final Exam for Section 212.005 (meets at 10 am during the semester)