San José State University Department of Psychology Stat 115 Intermediate Statistics, Section 1, Fall 2017

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1 Course and Contact Information Instructor: San José State University Department of Psychology Stat 115 Intermediate Statistics, Section 1, Fall 2017 Sean Laraway, PhD Office Location: DMH 311 Telephone: Office Hours: (408) (I will only answer the phone during office hours; I do not return voic ) sean.laraway@sjsu.edu (the best way to reach me) M, W 1:15-1:30 p.m. Class Days/Time: M, W 12:00-1:15 ( ) Classroom: DMH 356 Prerequisites: Course Format Technology Intensive, Hybrid, and Online Courses Elementary Statistics (Stat 95 or equivalent) This course is technology intensive and uses a modified flipped classroom format. This means that about 25-50% of class time will be dedicated to in-class activities and related discussions. You should read the assigned readings prior to coming to class, as I will assume that you have done so. You should be prepared to ask questions about the readings at the beginning of class. You will need regular access to a computer and Internet connectivity to submit assignments, take quizzes, communicate with your instructor, etc. You will need to have access to a scientific calculator (with square root, square buttons), SPSS, G*Power ( download for free here: and spreadsheet software (Excel, Numbers, Google Sheets). You can download SPSS for free here: Course Web Page Course materials such as syllabus, handouts, notes, assignment instructions, etc. can be found on Canvas Leaning Management System course login website at You are responsible for regularly checking with the course Canvas site to learn of any updates. All class-related questions regarding assignments, exams, or other content must be posted to the Discussions section on Canvas. That is, I will not answer content questions that are ed to me. This policy will ensure that all students have access to content-related answers that I provide. Before posting a question, be sure to read through the posts to make sure your question is not redundant and has already been answered. You may the instructor through Canvas when you have personal, private questions, such as questions regarding your grade or cases of documented excuses from class. Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 1 of 8

2 Course Description (Required) Statistical analysis at the intermediate level; descriptive statistics, t-statistic, chi-square, analysis of variance, correlation and regression, and topics in experimental design; use of a statistical program, Statistical Package for Social Sciences (SPSS) for statistical analyses and interpretation. The major goal is to enable the student to use numerical and graphical data in personal and professional judgments and in coping with public issues. We also will consider other topics, including experimental and non-experimental research designs, causation, effect size and strength of association measures, and confidence intervals. Course Learning Outcomes (CLOs) Upon successful completion of this course, students will be able to: CLO 1: Describe quantitative data in terms of center, spread, and shape; create appropriate graphical representations of these data. CLO 2: Describe categorical data in terms of frequency and percentage; create appropriate graphical representations of these data. CLO 3: Describe the main features of basic research designs (experimental, observational) and the conclusions that can be drawn from these designs. CLO 4: Choose appropriate statistical analyses for different research situations and describe why the analysis is appropriate. CLO 5: Conduct and interpret inferential statistical procedures by hand and/or using computer software for quantitative and categorical data. CLO 6: Compute and interpret measures of effect size and strength of association. CLO 7: Describe basic concepts in causal inference. CLO 8: Use SPSS and other software to compute descriptive/inferential statistics and create representations of data (tables, graphs). CLO 9: Write APA-style results sections to communicate effectively the results of statistical procedures discussed in class. Program Learning Outcomes (PLOs) Upon successful completion of the Psychology major requirement: PLO1 Knowledge Base of Psychology Students will be able to identify, describe, and communicate the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. PLO2 Research Methods in Psychology Students will be able to design, implement, and communicate basic research methods in psychology, including research design, data analysis, and interpretations. Stat 115 meets this PLO. PLO3 Critical Thinking Skills in Psychology Students will be able to use critical and creative thinking, skeptical inquiry, and a scientific approach to address issues related to behavior and mental processes. Stat 115 meets this PLO. Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 2 of 8

3 PLO4 Application of Psychology Students will be able to apply psychological principles to individual, interpersonal, group, and societal issues. PLO5 Values in Psychology Students will value empirical evidence, tolerate ambiguity, act ethically, and recognize their role and responsibility as a member of society. Stat 115 meets this PLO. The learning objectives will be assessed via participation assignments, homework, exam questions, and the project. These assessment items will involve solving verbal and symbolic quantitative problems, including those that involve real-world situations. Required Texts/Readings (Required) Textbook Tokunaga, H. (2015). Fundamental Statistics for the Social and Behavioral Sciences (1 st Ed.). SAGE Publications, Inc. ISBN-10: ; ISBN-13: Students can buy the text in the Spartan Bookstore or at Other Readings Additional readings may be posted on the course Canvas site. Other technology requirements / equipment / material You should bring several sheets of clean 8 x 11 size paper, one or more sharpened pencils, and an eraser to each class. You will need Scantron (882) forms for all exams. Course Requirements and Assignments (Required) Exams You will have three exams. Exams will comprise multiple-choice, short answer, and computation questions. Please bring a Scantron form (882), pencils, and a calculator to each exam. You may use your text, notes, and calculator (but not cell phone) during exams. You will have access to all formulas and statistical tables for these exams. Exams 1 and 2 will occur at the beginning of the scheduled class and will last 1:15. Exam 3 is the Final Exam. Each exam is worth 150 points, for a total of 450 points (45% of your grade). Study guide and practice questions for each exam will be posted on the course Canvas site. SPSS Projects You will complete five data analysis projects that will require you and your team to analyze data using SPSS, answer questions, and write a concise and correct summary of the results. These reports must be typed, doublespaced, 12-point Times New Roman font, with 1 margins and should include at least one graph or table (software generated). Projects must use correct grammar, punctuation, and statistical style (as described in the Publication Manual of the American Psychological Association, 6th ed.; we will review some of this in class). Teams may consist of 2-3 students and all team members will earn the same grade on the project. These assignments must be uploaded to Canvas by 11:59 p.m. of the stated due date. More information and project guidelines will be given in class. Each project is worth 52 points, for a total of 260 points (26% of your grade). In-Class Participation Activities You will be graded on your in-class participation. You must be present to receive credit for in-class assignments, unless you make other arrangements with me. In-class participation assignments may include Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 3 of 8

4 conceptual/computational exercises and activities from your text. The number, nature, and timing of in-class activities will depend on the progress of the class. These activities total 150 points (15% of your grade). Quizzes You will take 14 online quizzes in Canvas. Quizzes must be completed by 11:59 p.m. of the stated due date. You can take each quiz 3 times and you will earn the highest score of the three attempts. You may use your text and notes for the quizzes, but you may not receive help from any other person. Each quiz is worth 10 points, for a total of 140 points (14% of your grade). Make-up Exams A make-up exam will only be given if you contact me prior to missing the exam in question and/or you have a documented excuse. A cumulative make-up exam will replace one missing exam score (items will be chosen at random from previous exams). This exam will occur immediately following the Final Exam, so you should be prepared to take both. Relation of Assignments to CLOs Exams, in-class activities, and quizzes relate CLO 1-7. SPSS Projects relate to CLOs 1-9. Course Expectations Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of 45 hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus. For this course, the expectation is that you spend a minimum of 9 hours per week on work related to this course, including attending class. Thus, you should spend approximately 6 hours outside of class working on this course (e.g., reading the text, taking quizzes, completing assignments, studying your notes). Grading Policy Table 1. Grading scale A+ = % A = 97-93% A- = 92-90% B+ = 89-88% B = 87-83% B- = 82-80% C+ = 79-78% C = 77-73% C- = 72-70% D+ = 69-68% D = 67-63% D- = 62-60% F = 59-0% Table 2. Assignment grade weights Assignment Number Points Total Percent of Final Grade Exams % SPSS Projects % Participation TBA TBA % Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 4 of 8

5 Quizzes % TOTAL % Note: Late work will not be accepted without prior permission from your instructor. Extra credit may be provided. Opportunities for earning extra credit will be announced in class and/or on the Canvas site. Classroom Protocol Etiquette In an effort to create a classroom environment conducive to learning, I expect you to follow the following classroom etiquette: 1. Arrive for class on time. Arriving late disrupts other students and interferes with continuity of the lectures and class activities. If for any reason you cannot avoid being late, please enter the class through the least noticeable door and take a seat quietly. Do not come in late and enter into a conversation to catch up on information you missed or expect information you missed to be repeated. Leaving early is equally disruptive; please be considerate. 2. Be polite and respectful to other people in the class 3. Do not carry on conversations with others during class. 4. Do not use your cell phone for any reason. If you anticipate an emergency call, please let me know in advance. DO NOT TEXT OR SURF THE WEB DURING CLASS. Students engaging in unauthorized cell phone use will be asked to leave class. 5. Turn off all cell phones, headphones, or any other devices that produce distraction before class. 6. Do not work on any other course material during class, including studying or reading for other classes. If you do so, you will be asked to leave. 7. All professors should be addressed by his or her title (e.g., Dr. or Professor), not by Hey or other informal language. This is true for all classes, not just this one. Students are expected to attend class and maintain a level of professional and courteous behavior in the classroom. Respect for the rights and opinions of others is expected. The free and open exchange of ideas is the cornerstone of higher education, but we must always remain respectful of others, even if we disagree strongly with them. Disagreement is acceptable, but discourteousness is not. Behavior that creates a threatening or harassing environment (either online or in class) will not be tolerated. Disruptions of class activities are a violation of the Student Code of Conduct will be reported to the Office of Student Conduct and Ethical Development. In short, be cool to one another. Class Format During class, we will have lectures, demonstrations, in-class activities, and question-and-answer periods. Attendance is expected and is critical for success in this course. If you miss a class, you are responsible for getting the information covered. It is vital that you complete all scheduled readings and assignments before each class. Do not talk, read non-class materials, text message, or sleep during class time. This policy will be strictly enforced. Students who fail to abide by classroom protocol may be asked to leave class. Please arrive to class on time. If you need to leave early or arrive late, please inform the instructor prior to the start of class. Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 5 of 8

6 I expect you to come to class prepared Prepared means you have completed the readings and any assignments before class starts. Check the course Canvas site regularly I will make important course announcements, answer questions, and post readings on Canvas. If I become ill, I will inform you as soon as I can via Canvas. You should check the site before each class meeting. Neither recording of class lectures/discussions nor distribution of course materials are allowed. Do not post lecture notes on any public website. You may store course notes on your own personal computer or Internet account (e.g., Dropbox, Google Drive). Failure to follow this policy will be considered a violation of the course academic integrity policy and will result in a grade of F in the course and reporting the student to the University and proper authorities for further sanctions/punishment. Laptops/Tablets In-class laptop or tablet use should be restricted to course-related activities (e.g., taking notes, completing assignments). Other activities (e.g., checking , playing games, accessing social media) distract both the instructor and students and will not be tolerated. You will be asked to turn off your laptop/tablet if you are engaged in non-class activities and you may be asked to refrain from further use for the duration of the course if this behavior continues. University Policies Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs Syllabus Information web page at Acknowledgment This syllabus and course incorporates materials developed by Dr. Altovise Rogers, Dr. Ron Rogers, Dr. Susan Snycerski, Dr. Megumi Hosoda, and the SJSU Center for Faculty Development s Accessible Syllabus Template. I have been granted permission by the authors to use these materials in whole or in part. I thank them for the use of their materials. I would also like to thank Dr. Bradley E. Huitema for his teaching and mentoring in statistics. Note on the schedule This course will follow this schedule to the extent possible. The timing and specific nature of topics and activities may change. You are responsible for being informed of any changes made to the class syllabus. Such changes will be clearly stated in class and will be posted on the class web site before the changes take effect. Stat 115 Intermediate Statistics, Fall 2017 Course Schedule Course Schedule Week Date Topics Readings Due, Assignments 1 8/23 Welcome to Stat 115! Attend class, review syllabus, ask questions 1 8/28 Introduction to Statistics Ch. 1 Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 6 of 8

7 Week Date Topics Readings Due, Assignments 2 8/30 Introduction to Statistics; Examining Data: Tables and Figures 2 9/4 NO CLASS Labor Day Ch. 1-2, Quiz /6 Examining Data: Tables and Figures; Ch. 2-3, Quiz 3 Measures of Central Tendency 3 9/11 Measures of Variability Ch. 4, Quiz 4 4 9/13 Normal Distribution Ch. 5, SPSS Project 1 Descriptive Statistics 4 9/18 Normal Distribution Ch. 5, Quiz 5 5 9/20 EXAM 1 Ch. 1-5, lecture notes 5 9/25 Probability and Introduction to Hypothesis Ch. 6 Testing 6 9/27 Probability and Introduction to Hypothesis Ch. 6, Quiz 6 Testing 6 10/2 Testing One Sample Mean Ch /4 Testing One Sample Mean Ch. 7, Quiz /9 Estimating the Mean of a Population Ch /11 Estimating the Mean of a Population Ch. 8, Quiz /16 Testing the Difference Between Two Means Ch /18 Testing the Difference Between Two Means Ch. 9, Quiz 9, SPSS Project 2 Independent Samples t Test 9 10/23 Errors in Hypothesis Testing, Statistical Ch. 10 Power, and Effect Size 10 10/25 Errors in Hypothesis Testing, Statistical Ch. 10, Quiz 10 Power, and Effect Size 10 10/30 Exam 2 Review Study Guide, t Test and Power Analysis Activity (bring to class) 11 11/1 EXAM 2 Ch. 6-10, lecture notes 11 11/6 One-Way Analysis of Variance Ch /8 One-Way Analysis of Variance Ch /13 One-Way Analysis of Variance Ch. 11, Quiz /15 Two-Way Analysis of Variance Ch. 12, SPSS Project 3 One Way ANOVA 13 11/20 Two-Way Analysis of Variance Ch /22 NO CLASS Review Ch /27 Two-Way Analysis of Variance Ch. 12, Quiz /29 Correlation and Linear Regression Ch. 13, SPSS Project 4 Two Way ANOVA Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 7 of 8

8 Week Date Topics Readings Due, Assignments 15 12/4 Correlation and Linear Regression Ch /6 Correlation and Linear Regression Ch. 13, Quiz 13, SPSS Project 5 Correlation and Linear Regression 16 12/11 Chi-Square Ch. 14, Quiz 14 Final Exam 12/19 DMH 356, 9:45 a.m. to 12:00 p.m. ( ) Ch , lecture notes Stat 115, Section 1, Fall, 2017, Dr. Sean Laraway Page 8 of 8

San José State University Department of Psychology PSYC , Human Learning, Spring 2017

San José State University Department of Psychology PSYC 155-03, Human Learning, Spring 2017 Instructor: Valerie Carr Office Location: Dudley Moorhead Hall (DMH), Room 318 Telephone: (408) 924-5630 Email: