PSYCHOLOGY 210: Introduction to Statistics

PSYCHOLOGY 210: Introduction to Statistics Dr. Pamela Schaefer Spring 2016

Office: 218 Garland Hall Phone: 229-4985 Email: [email protected]

Office hours: Monday 10-11:45 By appointment

TAs: Megan Kangiser ([email protected]) Vanessa Ehlers ([email protected]) Kyle Jennette ([email protected])

Required Course Materials: Gravetter, F.J. & Wallnau, L.B. (2012). Statistics for the Behavioral Sciences, 9th ed. Wadsworth: Belmont, CA.

Mindtap Psychology e-access. Note that this e-study guide is bundled with the loose leaf version of our textbook at the Panther Bookstore for a total cost of about $90. A paper study guide will be on reserve at the library as well.

Schaefer, P. (2016) Statistics Lab Modules. Can be downloaded from the D2L site as available. http://d2l.uwm.edu/

A calculator (memory function is option—make sure you know how to use it!). Calculators are used for exams and quizzes. Statistical or scientific functions will be useful and allowed. NO CELL PHONE CALCULATORS ALLOWED

Optional Resources (for those wanting extra help): The Cartoon Guide to Statistics by Gonick Statistics Without Tears by Rowntree Statistics for the Terrified by Kranzler & Moursund Inferential Statistics for Dummies Statistics for the Utterly Confused by Jaisingh https//www.khanacademy.org (algebra help)

Free Tutoring available: Supplemental Instructor: Bridgette Knecht ([email protected]) Tutoring and Academic Resource Center, Bolton 180, 229-2770. Schedules are available for walk-in hours and appointments. The Peer Mentoring Center, Bolton 192, 229-5385. By appt. GER requirements: This course meets the UWM General Educational Requirements as a quantitative level B course. Students in this course will be able to construct hypotheses that represent quantitative information, evaluate the validity of the hypotheses as appropriate to the data, analyze data using appropriate statistical tests, interpret results by stating conclusions, predictions, and inferences, and assess the reasonableness of their conclusion. In addition, this course achieves the following Essential Learning Outcomes of Critical Thinking (critically evaluate theories explaining psychological research findings), Information Literacy (understand the body of knowledge across the field of psychological statistics), and Integrative Applied Learning (apply concepts to experiences across the curriculum/major).

GER Assessment To achieve these outcomes, which are closely related, students will read their textbook which covers issues related to research design and statistical analyses. Achievement of these outcomes will be measured, in part, by six multiple choice quizzes, three multiple choice exams, and 10 homework modules. The modules are designed to meet specific learning objectives. Students will be able to construct hypotheses that represent quantitative data, evaluate the validity of these hypotheses as they predict the outcome of the analyses, complete data analyses, interpret the findings of the analyses as they relate to the hypotheses, and understand the reasonableness of their conclusions.

Course Description: The primary goal of this course is to gain an understanding of the logic and application of basic laws of probability and statistical analyses. Students will become familiar with hypothesis testing, and be able to apply appropriate statistics to datasets. In addition, students will learn to become critical consumers of statistics in psychological research. Students will learn to apply SPSS programs to analyze datasets.

COURSE WORKLOAD This course requires that you are in lecture 2.5 hours/week. In addition, you will be in the discussion/lab sections for 100 minutes/week. It is expected that you will need approximately 2 hours of study time for every hour you are in class—at a minimum 8 hours/week of study time.

It is extremely important to keep up in this course because the material builds on previous material. You are expected to READ THE ASSIGNED CHAPTERS before lecture and DO THE PROBLEMS AT THE END OF EACH CHAPTER. The answers for the odd-numbered questions are at the back of the textbook. These questions will not be collected. They are to help you understand the concepts and processes of the chapter. Students who keep up with the course will find it easier to learn new material and will likely receive higher grades. MISSING LECTURE, LAB, OR MATERIAL WILL AFFECT YOUR ABILITY TO LEARN SUBSEQUENT MATERIAL. SUCCESS IN THIS COURSE REQUIRES THAT YOU KEEP UP WITH THE WORK. Laboratory/discussion Sections: You MUST be enrolled in a Laboratory AND discussion section. ATTENDANCE IS MANDATORY AND IS WORTH 50 POINTS TOWARDS YOUR FINAL GRADE. You may arrange with your TA to attend a different lab section for a given week if necessary. The discussions meet the first hour in a classroom, and the second hour in BOL 293, a Social Sciences Computer Laboratory. BRING YOUR TEXTBOOK, LAB MODULES, AND CALCULATOR TO EVERY LAB MEETING. You will be responsible to complete the online homework and statistic lab modules for lab. These modules help you use SPSS to solve a variety of statistical problems.

Modules: There will be ten homework modules that teach how to use the statistical program. These will be assigned throughout the semester and are due prior to the section exam in which they are assigned. Each of the modules are equally weighted and worth 10 points for a total of 100 points. Points will be deducted for any late assignments. The total points earned in lab are 150: attendance (50 points) and modules (100 points).

Quizzes: The purpose of the quizzes is to keep you abreast of the material rather than trying to master all of the material before the test. In-lecture quizzes will be given to assess your knowledge of the readings and assigned problems. Quizzes will be given in class, and they are to be handed in to your TA before leaving the lecture hall. They will be very similar to the type of questions you will see on your exams. Each quiz will cover new material covered since the last quiz. Each of the quizzes will be worth 10 points. The top 5 quiz scores will be entered into your final grade for 50 total quiz points. THERE WILL BE NO MAKE-UP QUIZZES except for religious reasons. Missed quizzes will be one of the dropped scores. Quiz dates in the syllabus are TENTATIVE and dependent on how much is covered in lecture; therefore THE EXACT DATES WILL BE ANNOUNCED IN CLASS.

Exams: There will be two examinations during the semester and a final exam. Each of these three examinations will consist of multiple-choice questions and be worth 100 points each (300 points total). The exams will cover the basic material covered in lecture and lab during that section. Note that because the material builds over the course, some of the concepts will be cumulative. Extra Credit: A maximum of 3 extra credit points may be earned in this course. The points are added to your final grade (i.e., the final percentage) and are primarily designed to permit you to receive the next higher grade if you are near the borderline between two grades. You can earn extra credit points by participating in a research study, earning 1 point for every hour that you participate. If you do not wish to participate in research, you can earn 1.5 points by completing a two-to-three page summary of a research article from a research psychology journal. A full copy of the article must be attached to your summary. The article must be about research in psychology— Letters to the editor, website information, or comments on previously published articles are not acceptable. The summary must point out the statistics that are used. A complete APA reference is required for credit.

Grading Procedure: Please note that class participation and attendance will affect borderline grades. Grades are based on three exam scores (300 points), laboratory points (150), and quiz points (50), for a total of 500 points. Final grades will be based on the following distribution. Add your total points, divide by 500 and multiply by 100 to get your final percentage. Extra credit is added to the final percentage.

Percentage Final Grade 97-100 A+ 93-96 A 90-92 A- 87-89 B+ 83-86 B 80-82 B- 77-79 C+ 73-76 C 70-72 C- 60-69 D <60 F Miscellaneous: This syllabus is designed to present a general course outline and to communicate course policies and procedures. The dates are tentative and subject to change or correction, although every effort will be made to keep this schedule. Students are responsible for any information presented in a class meeting in which they are absent, including changes of schedule.

UNIVERSITY POLICIES: Information on university policies on academic misconduct, participation by students with disabilities, accommodations for religious observances, complaint procedures, grade appeal procedures, and other standing policies (e.g., sexual harassment, incompletes, drop deadlines) can be found on this web page: http://www4.uwm.edu/secu/SyllabusLinks.pdf

ARRANGEMENTS FOR STUDENTS WITH DISABILITIES: If you have a documented disability and need special accommodations in order to meet any of the requirements of this course, please contact me as soon as possible. I will need your VISA form, which you can obtain at the Student Accessibility Center (Mitchell 112, phone 414-229-6287, http://www4uwm.edu/sac/).

ACADEMIC MISCONDUCT: In this course, we will strictly adhere to UWM’s policy regarding academic misconduct. UWM does not tolerate academic misconduct, in any form. Cheating and plagiarism are examples of academic misconduct. Here is the university’s definition: “an act in which a student seeks to claim credit for the work or efforts of another without authorization or citation, uses unauthorized materials or fabricated data in any academic exercise, forges or falsifies academic documents or records, intentionally impedes or damages the academic work of others, engages in conduct aimed at making false representation of a student’s academic performance, or assists other students in any of these acts.” Information about the procedures that are followed when a student is suspected of academic misconduct can be found on this web page: http://www4.uwm.edu/Dept/AcadAff/policy/academicmisconduct.cfm. LECTURE TOPICS

WEEK OF TOPIC READING LAB 1/25 Introduction to Statistics Ch 1 Frequency Distributions Ch 2 MOD 1

2/1 Central Tendency Ch 3 Variability Ch 4 MOD2

2/8 z-scores: Location of Ch 5 Scores and Standardized Distributions MOD3

2/15 Probability Ch 6 MOD4

2/22 Probability cont.

Exam 1 (Ch 1-6) Wednesday February 24

2/29 Probability and Samples Ch 7

3/7 Introduction to Hypothesis Ch 8 MOD 5 Testing

Spring Break 3/14-3/20

3/21 Introduction to the t Statistic Ch 9 MOD6

3/28 t-test for 2 Independent Samples Ch 10 t-test for Two Related Samples Ch 11 MOD7

Exam 2 (Ch 7-11) Monday April 4

4/6 Analysis of Variance Ch 12

4/11 Repeated Measures ANOVA Ch 13 MOD8

4/18 Two-Factor ANOVA Ch 14 MOD 9

4/25 Correlation Ch 15

5/2 Chi Square Ch 17 MOD 10

5/9 Chi Square (cont)

Final Exam: Wednesday May 18 12:30-2:30 SONA INSTRUCTIONS FOR PARTICIPANTS Spring 20135

Research Participation for Extra Credit Opportunities for research participation for extra credit can be found on the Psychology Department SONA website – see the top link on the department Sona webpage: http://www4.uwm.edu/letsci/psychology/Sona_research_participation/. If you participated in previous semesters you may already have an account. If your account no longer exists or you need to establish a new account, follow these steps: 1. Log onto the SONA website: http://uwmilwaukee.sona-systems.com/ 2. In the bottom left-hand corner click on “Request an Account Here” under the “New Participant” heading. 3. Enter all of the requested information – MAKE SURE YOUR EMAIL ADDRESS IS CORRECT. Your username should be your epanther email address, not your student ID number. 4. When you receive your password via email, log into your account and change your password. The first time you log in you will be asked to do a brief prescreening survey (approximately 20 questions). Researchers may invite you to participate in their studies based on your responses to the prescreen questions. You may choose whether or not you wish to participate in these studies. Once you have logged on to the website you will see a list of studies. If a study interests you and “Time slots available” is stated to the left of the study title, you can view available sessions and sign up for those sessions by clicking on the study title and then on View Time Slots at the bottom of the study description page. You will receive a reminder email prior to your session. It is very important to remember that when you sign up for a session you are making a commitment to show up for that appointment. If you need to cancel you may do so via the SONA website prior to the session. Studies vary in how much advance notice they need of cancellation (most are 24 hours) – please take note of this when you sign up. If you do not show up for a session you will lose the opportunity to earn one percent of extra credit. If you fail to show for a second session you will again lose the opportunity to earn a second percentage of extra credit and you will no longer have the opportunity to sign up for research studies to earn extra credit for your course(s). You can make up the extra credit points you lost by completing an alternative extra credit option (see Alternative to Research Participation study on Sona). The alternative option involves reading an empirical paper related to the course for which you wish to receive extra credit and writing a summary of the article. If you have questions please contact the SONA Subject Pool Coordinator, Dr. Christine Larson, [email protected].