Course outline PDF

Title Course outline
Course Methods and Statistics II
Institution Ryerson University
Pages 5
File Size 126.2 KB
File Type PDF
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Summary

Course outline for Dr. Reed's class....


Description

RYERSON UNIVERSITY DEPARMENT OF PSYCHOLOGY PSY 511: Methods and Statistics II Instructor: Maureen Reed Ph.D. Office: A816-A Jorgenson Hall Phone: 979-5000 ext 7111 Email: [email protected] Class Location/Time: Tuesday 12-3 (section 011)/ KHE321A Office Hours: Tuesday after class or by appointment Course Designation: Professionally Related Note: Students registered in a Ryerson programme or intending to register in a programme should examine their programme’s curriculum and the Ryerson calendar carefully. To graduate from a programme, students require a number of Liberal Studies credits as well as Professional and Professionally-related credits. Ryerson courses are correspondingly designated as Professional and Professionally-related or Liberal Studies. Liberal Studies courses are further divided into Lower-Level (normally for first or second year credit) and Upper-Level (normally for third or fourth year credit). You may not use a Professionally related for a Liberal Studies course of visa versa, nor may you use a Lower-Level Liberal studies course for Upper-Level Liberal Studies credit. Course Description: This course builds on students' knowledge gained in previous research methods courses. Topics include research designs with multiple independent and dependent variables, and statistical analyses such as multi-way analysis of variance, post-hoc comparisons, multiple regression, and using a statistical software package. Prerequisites: PSY 202, ACS 301, and PSY 411 (or equivalent). Learning Objectives 1. To become familiar with the basic terms, concepts, principles, and techniques of research methods and statistics 2. To appreciate the relations between the hypotheses being tested (question asked) and the most appropriate statistical test to use

3. To become proficient in using SPSS software to conduct various forms of basic data analysis 4. To feel equipped by term’s end to apply the knowledge and skills gained to better understanding the statistical methods and results in published literature and to conduct one’s own analyses 5. To understand how to interpret the results from these analyses For More Information: The Department of Psychology has a web site at www.ryerson.ca/psychology , where students will find information regarding the Psychology degree, the Certificate in Psychology, and the Psychology Minor, as well as departmental policies regarding appeals, plagiarism, and other issues. It is the student’s responsibility to know and adhere to all Departmental and University policies, and also to make arrangements for maintaining proper registration in this course. Also, please refer to the Ryerson Calendar for information on many issues you might encounter (e.g., religious observances, plagiarism, withdrawal dates, etc.). Required Text: Gravetter, FJ & Wallnau (2013) Statistics for the Behavioral Sciences, 9e Ed. Belmont CA: Thomson-Wadsworth. Computer Program: For statistical analysis SPSS is available in the Ryerson Computing Centre. You will need an account to use these computers (your name and user ID for email should work). Please go to Computing and Communication Services in room W-71 to receive an account if you do not have one. You can call computing services at 6840. We will be having some in-class computer sessions to learn to use this software. You can get access to SPSS from home by going to http://www.ryerson.ca/ccs/software/vapps/ Recommended: Calculator- small, inexpensive that performs simple functions (add, subtract, multiply, divide, square and square root). Students will not be allowed to bring calculators to exams or quizzes that perform statistical tests or functions such as r, t, mean, standard deviation, nor will alpha-numeric/programmable calculators, calculators

with storage (STO button) or storage memory functions, cell phones, pagers, PDAs or any other type of programmable or wireless communication be allowed. The dollar store sells a variety of acceptable calculators. Assignments and Evaluation: 1. Laboratory Assignment (2@10%) 2. Minor Assignments (5@ 1%) 3. Quiz (5@5%) 4. Midterm test 5. Final Exam

20% 5% 25% 25% 25%

Laboratory Assignments: The purpose of the assignment is 1) to give you hands on experience in the applications of statistical techniques to real data, 2) to develop lab report writing skills, 3) to determine the power of the scientific method for the study of diverse questions and 4) to encourage analytical thinking skills with respect to statistical and real life issues. Lab reports must be written in the format specified in the Publication Manual of the American Psychological Association (I will provide a summary of this style to you) and specific laboratory requirements will be discussed in class. Quizzes: There will be a short quiz every other week (except for exam days). The quiz will test material learned since the previous quiz. Most quiz take 20-30 minutes to complete and are held at the end of class. If you miss a quiz due to illness you must arrange to write it prior to the next class where quiz are returned otherwise it will be graded as zero. Minor Assignments: Approximately every other week a take home short assignment based on the material currently being learned will be handed out. These assignments are due in the next class. Although assignments are worth only 1% each, they are a very good way of practicing in class material and a good way for me to review with you where you might be making wrong assumptions and errors. One question (the same for all students) on each assignment will be

graded as a pass or fail (fail receives 0%). To be acceptable however the entire assignment must be complete. Late assignments will not be accepted without acceptable documentation (Ryerson policy) Examinations: The mid-term test will test material covered since the beginning of term and the final exam will cover material since the beginning of the term but emphasize material covered since the mid-term. The final exam will be in the examination period Due Dates: All work should be submitted on the due date, no later than the end of class time. Late submissions will be graded as a zero. Extensions will be granted only on medical or compassionate grounds but will not be granted beyond the date when the work is returned to other students. All work in this class must be independent. Sharing references or thoughts on papers or assignments is not acceptable. Highly similar or identical laboratory papers are unacceptable and will be penalized (see Ryerson’s policies academic misconduct in the Undergraduate Program Calendar, pg. 91-99)

Lecture Schedule/Readings/Due Dates Date Sept. 8 * Sept. 15 Sept. 22

*Sept. 29 Oct. 6 *Oct. 20 Oct. 27 Nov. 3 *Nov. 10 Nov. 17 *Nov. 24 Dec. 1

Lecture Review of 411/ Hypothesis testing about two means One way Analysis of Variance Multiple Comparisons (Post Hoc Tests), Laboratory 1 Two way Analysis of Variance Interactions Repeated Measures Analysis of Variance Computer session ANOVA/ Exam Review Mid year examination

Readings/Due dates Chapters 10, 11, and pg 295-296 (Cohen’s d) Chapters 12 Chapter 12

Chapter 14 Chapter 13 Laboratory 1 due

Mixed Model ANOVA Laboratory 2 Review of correlation and simple Chapters 15, 16 (558-572) regression Multiple Regression Chapter 16 (572-589) Computer session: Correlation Regression and Multiple Reg Chi Square designs

Laboratory 2 due Chapter 17,

Final Exam During the final exam timetable *Quiz day, and you will receive an assignment due the next Tuesday (exception: Oct 6 Assignment is due Oct 20) If you are a student registered with the access center, please book all quiz and tests IMMEDIATELY. Exams are three hours, and quiz are usually 45 minutes. Book all quiz for the last hour of class, however, I will let the access center know you may arrive a bit late because you are coming from class . Book all exams at the same day and time as the class is writing the exam....


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