PSY 3801 (Lec section 001, Lab sections ) Introduction to Psychological Measurement and Data Analysis Spring, 2014

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1 PSY 3801 (Lec section 001, Lab sections ) Introduction to Psychological Measurement and Data Analysis Spring, 2014 Lectures MWF, 11:15-12:05, Bell Museum Auditorium Course website: Moodle (accessible via MyU) Labs Mondays in the STSS Building (see schedule at the bottom of this page) Course Description: PSY 3801 (4 cr) is an introduction to the basic concepts and procedures related to the measurement and analysis of psychological variables (subject matter often called Statistics). The main goal of this course is for students to understand the data of psychology and the appropriate selection and use of statistical tools to describe and evaluate results of psychological research. This course will fulfill the University s Liberal Education Requirement in Mathematical Thinking and provides the quantitative foundations for PSY 3001W: Intro to Research Methods, and PSY 3902W: Major Project in Psychology. This course will also prepare you to understand research results presented in other Psychology courses and to participate in faculty research projects. Prerequisites: Knowledge of math through high school algebra; PSY 1001 (Intro Psychology). This course is designed to meet two of the seven Undergraduate Student Learning Outcomes: In order to successfully complete this course, you must demonstrate that you: - Can identify, define, and solve problems. - Can locate and critically evaluate information. Specific Course Goals: 1. To teach you how to select the appropriate method(s) of data analysis for a given research question. 2. To help you understand the equations that define data analysis concepts in mathematical form. 3. To teach you to identify and select the appropriate computational equations for the relevant methods of data analysis. 4. To teach you how to apply the equations to data to compute appropriate statistics. 5. To teach you to interpret the results for the psychological problem that motivated the analysis. Required materials: Textbook: Caldwell, S. (2010). Statistics Unplugged (4th ed.). Wadsworth/Cengage Learning. Calculator: Sharp EL-243SB (available in the bookstore and online). The calculator itself says SHARP ELSI MATE EL-243S on its face. This is the ONLY calculator you will be permitted to use during Exams and Quizzes. Lectures and Textbook Readings: The textbook will support and supplement the lecture material, so you should refer to the textbook as necessary to understand the lecture material. Material that is presented on the screen during lectures will be posted at the course website shortly after each lecture. Instructor: Mark A. Stellmack, Ph.D. Ways to contact me: stell006@umn.edu (I usually reply pretty quickly.) phone: (You usually will have to leave a message.) In person at my Student Hour : Wednesdays and Fridays, 2:00-3:00, Elliott Hall S105 By appointment: Send me an or phone me to arrange a time. LABS All labs are on MONDAYS in the Science Teaching & Student Services Building (STSS). Sec Time Room Section Leader :45-11:00 420B Jacob Paulsen paul0569@umn.edu 003 9:45-11:00 131B Chaitali Phadke phadk011@umn.edu 004 1:00-2:15 432A Chris Hulme-Lowe hulme005@umn.edu 005 8:15-9:30 432A Chaitali Phadke phadk011@umn.edu 006 9:45-11:00 512B Jack Kostal kosta021@umn.edu 007 5:30-6:45 512B Sarah Semmel semm0023@umn.edu 008 8:15-9:30 420B Jack Kostal kosta021@umn.edu 009 2:30-3:45 420B Chris Hulme-Lowe hulme005@umn.edu 010 4:00-5:15 432B Amy Shu shuxx069@umn.edu 011 5:30-6:45 530A Bijan Camp campx051@umn.edu Section Leaders office hours will be posted on the course web site (Moodle). You may attend any Section Leader s office hour. You may ask questions about course material during lectures, labs, or office hours, or you may questions to me or the Section Leaders. Tutors: Former PSY 3801 students have volunteered to answer your questions about the course material. If you would like to meet with a tutor, me (stell006@umn.edu) the days and times that you have available. I will forward your times to our tutors and if one can meet with you at one of those times, he or she will contact you directly to make the arrangements. PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

2 2 WAYS TO EARN POINTS IN THIS COURSE (also see the scorecard on the last page of this syllabus) (1) Exams: - There will be 4 non-cumulative exams (each worth 100 points) and a cumulative final exam (150 points). Thus, it is possible to accumulate 550 points on exams. - Exams will be based on lecture material and material from the Caldwell text. - If the instructor determines that there is not enough space in the lecture hall for exams, some students will be directed to an alternate location for exams. Students will be told where to take the exam via and during lecture. YOU MUST TAKE THE EXAM IN THE ROOM TO WHICH YOU WERE ASSIGNED. IF YOU TAKE THE EXAM IN AN INCORRECT LOCATION, 10 POINTS WILL BE DEDUCTED FROM YOUR EXAM SCORE. - Students who arrive late will be able to take the exam, but STUDENTS WHO ARRIVE AFTER THE FIRST STUDENT HAS FINISHED THE EXAM WILL NOT BE PERMITTED TO TAKE THE EXAM. - All regularly-scheduled exams will include some combination of multiple-choice questions and written problems to be solved. (The written problems will involve doing computations, writing your answer, and showing your work.) Please bring a #2 pencil to exams. - Bring a photo ID to exams. - During exams, students will not be permitted to listen to audio reproduction devices (e.g. personal stereos). Students also will be asked to turn off cell phones and place them out of sight. - University policy requires that make-up tests be made available in very limited circumstances. Unless your situation fulfills the criteria outlined by the University, REQUESTS FOR MAKE-UP EXAMS WILL NOT BE CONSIDERED. The Instructor (Dr. Stellmack) alone will determine whether an absence is legitimate (see Legitimate Absences on page 3). Exams will be given on the dates shown on the attached Schedule (see pages 5-6). (2) Lab Points: During 10 of the labs this semester (Labs 1, 2, 3, 4, 6, 7, 9, 10, 12, and 13; see schedule below), there will be 10 points available for you to earn. There will be EITHER a 10-point Quiz OR a 5-point Quiz and an additional 5- point activity. The available points will be explained in lab. Note that there will ALWAYS be a quiz during the labs listed above. During the remaining labs (Labs 5, 8, 11, and 14), your Section Leader will return the most recent exam and go over the exam questions and answers to help you prepare for the cumulative Final Exam. The Quiz system is described in detail on the next page. PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

3 Quizzes (and Homework): Quizzes are intended to test your mastery of the material on a regular basis. Quiz questions will be based on the homework problems. Completing and understanding the homework should be adequate preparation for the Quizzes. You should try to work out the homework problems on your own before consulting the answers or obtaining help from others. Here are details of how the Quiz system works: a. At the end of most LECTURES, you will be assigned homework problems. Complete the homework problems on paper, showing all your work. (If you want to keep a copy of your homework, be sure to make a copy before you hand it in.) b. At the start of the next lab (on Monday), turn in your homework. Homework will be collected at the scheduled start time of the lab. Homework will not be graded, but you must turn in your homework or your Quiz score will not be counted (you will receive zero points for that Quiz). Your homework must reflect a genuine effort on your part to complete the problems. This is a judgment call on the part of your lab Section Leader, so show all of your work and make it clear that you attempted to complete the problems. c. Take the PRE-QUIZ at the start of the lab. The Pre-Quiz will be given immediately after the homework is collected. The Pre-Quiz will take approximately minutes. d. Turn in the completed Pre-Quiz. Your lab Section Leader will go over the answers to the Pre-Quiz problems. e. If you are satisfied with your performance on the Pre-Quiz, you may leave the lab. Your Section Leader will spend some of the rest of the lab answering questions and presenting examples based on the homework and material from the previous week s lectures. (There may be other activities during the lab which can be completed for additional points. Your Section Leader will specify that during lab.) f. Take the QUIZ at the end of the lab. Your Section Leader will give the Quiz during the last minutes of the lab. The Quiz will cover the same material as (but it will not be identical to) the Pre- Quiz. BOTH THE PRE-QUIZ AND QUIZ WILL BE GRADED. THE HIGHER OF YOUR TWO SCORES, PRE-QUIZ OR QUIZ, WILL BE RECORDED AS YOUR QUIZ SCORE. IT CAN ONLY HELP YOU, NOT HURT YOU, IF YOU TAKE BOTH THE PRE-QUIZ AND QUIZ. The Pre-Quiz is an additional opportunity for you to practice the material. Pre-Quizzes are extra opportunities that are available only to students who attend the regularly scheduled lab sessions. Students with excused absences from labs will only be allowed to take the Quiz, not the Pre-Quiz. COMMUNICATION: THE KEY TO KEEPING SMALL PROBLEMS FROM BECOMING BIG PROBLEMS. If a situation arises for you during the semester that will affect your ability to attend lecture or lab, notify the Instructor and your Section Leader as soon as possible, preferably BEFORE the lecture or lab that you will miss. Legitimate Absences : The Instructor will decide whether an absence is legitimate based on the University Senate Policy on Makeup Work for Legitimate Absences (described at The Instructor very rarely considers absences to be legitimate. Please come to class on the scheduled exam dates and attend lab sessions to avoid unnecessary conflicts. PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

4 ADDITIONAL POLICIES AND PROCEDURES Incompletes (Per CLA Classroom, Grading, and Examination Procedures): A grade of I (Incomplete) will only be assigned to a student if the student s coursework is incomplete and (1) the Instructor has a "reasonable expectation" that the student can successfully complete the unfinished work on his/her own no later than one year from the last day of classes and (2) the Instructor believes that legitimate reasons exist to justify extending the deadline for course completion. If a student does not complete the requirements for the course and does not request an incomplete, a grade reflecting the student's performance in the course will be assigned. The student and Instructor must fill out a written agreement stating the terms for completion whenever an incomplete is requested and approved. Students assigned I's must complete the unfinished work by the date agreed upon with the instructor or, if no date is specified, no later than one year after the last day of final examinations of the term in which the I is given. Students with Special Needs (Per CLA Classroom, Grading, and Examination Procedures): Any student with a documented disability condition (e.g., physical, learning, psychiatric, systemic, vision, hearing, etc.) who needs to arrange reasonable accommodations should contact the Instructor and Disability Services at the beginning of the semester. Student Academic Integrity and Scholastic Dishonesty (Per the Office for Student Conduct and Academic Integrity): All students enrolled in University courses are expected to complete coursework responsibilities with fairness and honesty. Failure to do so by seeking unfair advantage over others or misrepresenting someone else s work as your own can result in disciplinary action. The University Student Conduct Code defines scholastic dishonesty as follows: Scholastic dishonesty means plagiarizing; cheating on assignments or examinations; engaging in unauthorized collaboration on academic work; taking, acquiring, or using test materials without faculty permission; submitting false or incomplete records of academic achievement; acting alone or in cooperation with another to falsify records or to obtain dishonestly grades, honors, awards, or professional endorsement; altering forging, or misusing a University academic record; or fabricating or falsifying data, research procedures, or data analysis. Within this course, a student responsible for scholastic dishonesty can be assigned a penalty up to and including an "F" for the course and a report to the Office for Student Conduct and Academic Integrity. Student Mental Health and Stress Management (Per the Provost Committee for Student Mental Health): As a student you may experience a range of issues that can cause barriers to learning, such as strained relationships, increased anxiety, alcohol/drug problems, feeling down, difficulty concentrating and/or lack of motivation. These mental health concerns or stressful events may lead to diminished academic performance or reduce a student's ability to participate in daily activities. University of Minnesota services are available to assist you with addressing these and other concerns you may be experiencing. You can learn more about the broad range of confidential mental health services available on campus via *************************************************************************** *** This syllabus is subject to change at the Instructor s discretion. *** *** Changes will be announced during lecture. *** *************************************************************************** The following pages show a rough outline of the topics to be covered each day. We may not adhere precisely to this schedule of lecture topics, but EXAMS AND QUIZZES DEFINITELY WILL BE GIVEN ON THE DATES SHOWN. PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

5 8 Mar Mar Feb 23- Mar 1 5 Feb Feb Feb Jan 26- Feb 1 1 Jan Monday Wednesday Friday 1/20: NO LECTURE/NO LABS Martin Luther King, Jr. Day 1/22: Why The World Would Be A Better Place If Everyone Were Just Like Me (ch. 1) 1/24: Scales of Measurement (ch. 1); Summation Notation 1/27: Basics of Experimental Design Lab 1 Quiz A 1/29: Measures of Central Tendency (ch. 2) 1/31: Measures of Variability (ch. 2) 2/3: Frequency Distributions (ch. 3) Lab 2 Quiz B 2/5: Probability and Normal Curves (ch. 3) 2/7: The Standardized Normal Curve (ch. 4) 2/10: Z-Scores (ch. 4) Lab 3 Quiz C 2/12: More Z-Scores (ch. 4) 2/14: Sampling (ch. 5) 2/17: More Sampling (ch. 5) Lab 4 Quiz D 2/19: **EXAM 1** (ch. 1, 2, 3, 4, 5) 2/21: Confidence Intervals and the Z-Distribution (ch. 6) 2/24: Confidence Intervals and the t-distribution (ch. 6) Lab 5 2/26: Hypothesis Testing (ch. 7) 2/28: Z-tests (ch. 7) 3/3: Decision Errors; Single-Sample t-tests (ch. 7) Lab 6 Quiz E 3/5: More Single-Sample Tests (ch. 7) 3/7: Related-Samples t-test (ch. 8) 3/10: Independent-Samples t-test (ch. 8) Lab 7 Quiz F 3/12: Review for Exam 2 3/14: **EXAM 2** (ch. 6, 7, 8) PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

6 Final Exam 16 May Apr 27- May 3 14 Apr Apr Apr Mar 30- Apr 5 10 Mar Mar Monday Wednesday Friday 3/17: NO LECTURE / NO LABS Spring Break 3/19: NO LECTURE Spring Break 3/21: NO LECTURE Spring Break 3/24: Directional/Non-Directional Tests (ch. 9) Lab 8 3/26: ANOVA (ch. 10) 3/28: More ANOVA (ch. 10) 3/31: More than One IV: Main Effects and Interactions (online chapter S3) Lab 9 Quiz G 4/2: More Main Effects and Interactions (online chapter S3) 4/4: Calculating and Interpreting Two-Way ANOVA (online chapter S3) 4/7: Review for Exam 3 Lab 10 Quiz H 4/9: **EXAM 3** (ch. 9, 10, online chapter S3) 4/11: The Chi-Square Test (ch. 11) 4/14: More Chi-Square Test (ch. 11) Lab 11 4/16: Review of Linear Relationships 4/18: Correlation, Part I (online chapter S1) 4/21: Linear Regression, Part I (online chapter S1) Lab 12 Quiz I 4/23: Linear Regression, Part II (online chapter S2) 4/25: Correlation, Part II (online chapter S2) 4/28: Review for Exam 4 Lab 13 Quiz J 4/30: **EXAM 4** (ch. 11, online chapters S1 & S2) 5/2: Introduction to statistical software 5/5: Final Exam Preparation: Review Lab 14 5/7: Final Exam Preparation: Come to lecture with questions 5/9: NO LECTURE FINAL EXAM (CUMULATIVE) Friday, May 16, 1:30 p.m. 3:30 p.m. Bell Museum Auditorium PLEASE BRING A PHOTO ID AND #2 PENCIL PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,

7 PSY 3801 SCORECARD Exams: Lab Points: 1 / 100 Quiz A / 10 2 / 100 Quiz B / 10 3 / 100 Quiz C / 10 4 / 100 Quiz D / 10 Final / 150 Quiz E / 10 Total 1 / 550 Quiz F / 10 Quiz G / 10 Quiz H / 10 Quiz I / 10 Quiz J / 10 Total 2 / 100 Total Points (Total 1 + Total 2) Percent (Approximate) Final Grade A A B B B C C C D D < 364 < 56 F PSY 3801 Introduction to Psychological Measurement and Data Analysis Spring,