Stats Spring 2015 1 Syllabus Reasoning in Psychology Using Statistics PSY 138 Section 001-Lecture Sections 002-005 Lab Spring 2015 Contact Information: Instructor: Dan Ispas, Ph.D. Office: DeGarmo Hall 436 Email: [email protected] Course Information: Lecture Hall: CVA 151 Web Site: ReggieNet Lecture: Monday and Wednesday 9:00AM – 9:50 AM Lab: DeGarmo 13 Monday and Wednesday: 10:00-10:50 Section 02 Hannah 11:00-11:50 Section 03 David Monday and Wednesday: 12:00-12:50 Section 04 David 1:00-1:50 Section 05 Hannah Office Hours Dr. Ispas: Tuesday 1-2 PM or by appointment DeGarmo 436 Office Hours GAs DeGarmo 308 David Wolfe: [email protected] T & Th 1-2 Hannah Archos: [email protected] M 2-4 Highly Recommended Texts (read the assigned chapters before lecture): Essentials of Statistics for the Behavioral Sciences, 7th Edition, 2011. Authors: Frederick J. Gravetter and Larry B. Wallnau. For SPSS: IBM SPSS Statistics 21 Step by Step: A Simple Guide and Reference, 13th Edition, Allyn & Bacon, 2013. Authors: Darren George and Paul Mallery. Course Description (from the University Undergraduate Catalog 2014-2016) Introduction to descriptive and inferential statistics. Includes use of the Statistical Package for Social Sciences (SPSS) on laboratory computers. May not be taken under the CT/NC option. Prerequisite: Grade of C or better in MAT 120 or 121 or 144 or 145.Stats Spring 2015 2 Lecture and Lab This course contains both a lecture and lab component. Both components of the course are essential to your learning of the material. The lab will NOT simply repeat what is covered in lecture. It will extend material presented in lecture and teach you to analyze data by hand and on the computer using SPSS something that cannot be covered in the large lecture meetings. Exams will be given during both lecture and lab time. Lecture attendance is highly encouraged, but not required. Lab attendance is mandatory! Course Objectives Upon successful completion of this course, you should be able to 1. Compute and interpret descriptive statistics 2. Answer basic questions about probability and compute simple probabilities 3. Answer questions about the logic of statistical significance tests 4. Compute and interpret certain inferential statistics Evaluating Student Performance 1. Exams. There will be four exams: three unit exams during the semester, and one cumulative final exam. Exams will be a combination of materials included in the text and materials discussed in class. If you miss an exam, you will get zero points for that exam. I will drop the lowest exam grade for exams 1-3 (You cannot drop your exam 4 grade). Although exams 1-3 are focused on specific chapters, they will include concepts from earlier chapters. Exam 4 is fully cumulative. No make-up exams unless you have documented excuses. See the course calendar for the scheduled exams. Please arrive at least 5 minutes before the scheduled exam time. Bring and be prepared to show a picture ID! There may be assigned seating during exams. Bring a #2 pencil. Scantrons will be provided. Put your name and U-number on scantron AND exam. The exams will have 2 parts: a more “theoretical” part in class and a more “applied/practical” part in lab. 2. Lab Assignments. There will be 10 lab assignments (You will be working on these in lab and they are due at the end of lab as indicated in the course schedule). Each lab assignment is worth 10 points. You will have the opportunity to receive back up to 50% of lost points on lab assignments. In order to do this you must see your GA during his/her office hours within 1 week after your grade was posted. You cannot do this if you did not submit a lab assignment. Example: Let’s say you got 6 out of 10 on a lab assignment and your grade was posted on Monday 2/2. If you show up to your GA’s office hours by 2/9, and youStats Spring 2015 3 go through the assignment with him/her your grade could be changed to 8 out of 10. For LAB 10 you will only have 1 week to do this. 3. SPSS Exam. There will be one exam focused on SPSS. The lecture component will focus on interpreting SPSS output while the lab component will focus on answering questions based on analyses that you will run in SPSS. Both components are closed book. You cannot drop this exam. 4. Extra credit. There are 3 ways you can get extra credit points i. SONA Research Participation ii. Lecture Extra-Credit iii. Lab Participation Extra-Credit i. SONA Research Participation. I will accept as extra-credit up to 5 points for research participation in experiments. All necessary information is explained at the following website: http://psychology.illinoisstate.edu/research/students.shtml. It is your responsibility to go to this website and watch the web tutorial. If you join the class after the first week and wish to participate, please contact Dr. Wesselmann at [email protected] with the following information: First Name, Last Name, Course(s) you wish to use your credits in, and your User ID (your ULID). If you choose to participate in research projects, you must sign up for individual research sessions using the Sona Systems sign-up program. The web address is https://ilstu.sona-systems.com/. a) User ID: The user id is the same as your ULID. Example: jsmith (from email [email protected]) b) Password: The password will be generated by the Sona Systems program early in the second week of the semester and sent to your ISU e-mail account (Example: [email protected]). Please check your ISU e-mail and let the Experiment Coordinator [[email protected]] know if you do not receive a password from Sona Systems by the end of the second week of the semester. Even if you do not plan to participate in experiments at the beginning of the semester, you are advised to try logging in to the system. You may cancel your participation in an experiment by following the instructions on-line in the Sona Systems program twenty-four hours in advance of the experiment session. Failure to do so will result in an “unexcused no show.” In the case of a dire emergency, you may directly contact the researcher or the Experiment Coordinator for consideration in rescheduling the session.Stats Spring 2015 4 You will have access to your participation history for the semester and be allowed to manage the allocation of your credits to