Eugene Lang College – Spring 2015 Statistics with SPSS LMTH2030A: Syllabus Faculty: Ellen L. Halpern, Ph.D. Email: halperne@newschool.edu1 Phone: 908-361-3733 Class Time: Mondays and Wednesdays 11:55-1:35 Class Location: Parsons East 25 E13th 302 Office Hours: before/after class by arrangement Office Hours Location: by arrangement Course Description (from Catalog): “This course is an introduction to statistics using the software package SPSS. Emphasis is on exploring quantitative data and applying concepts to a range of situations. Topics include descriptive statistics, basic probability, normal distributions, correlation, linear regression, and hypothesis tests. The course combines lectures, discussions, and computer assignments. During the semester, students meet at a computer lab to learn specific software skills. Students are expected to go to the lab on a regular basis to complete homework assignments and explore the functionality of SPSS. This course fulfills the second math requirement for the IS major, is a requirement for the ES and Psychology majors, and is taught Fall & Spring.” Course Objectives: By the end of this course, the successful student will be able to: 1. Compute measures of central tendency and variability, create tables and graphs, and interpret descriptive statistics in publications. 2. Utilize concepts of probability to distinguish events likely to occur by chance from those more likely to be a result of an experimental manipulation or non-chance relationship among variables. 3. Select appropriate inferential techniques such as t-tests, correlation, regression, ANOVA, and non-parametric techniques such as Chi-Square, perform calculations to obtain statistical findings, and interpret these findings. 4. Describe how social scientists and researchers in a wide range of disciplines interpret statistical results to evaluate their research hypotheses. 5. Use SPSS to prepare tables and graphs of data, and to perform the statistical analyses required for hypothesis testing. Required Text: Statistics for the Behavioral Sciences, 2nd edition. Gregory J. Privitera. Sage Publishing, 2015. Feel free to obtain an online copy. You may want to bring your book to use with SPSS in lab, but online copies often allow you to print individual pages as needed. You will not be required to bring your text to class. Recommended: Student Study Guide with SPSS Workbook for Statistics for the Behavioral Sciences, 2nd edition. This study guide provides additional material for learning and practice. I would suggest seeing how the first few weeks go. If you feel that you need more practice material, then you could purchase it then. 1 If you email me, and don’t receive a response within 24 hours, please text me. There have been several occasions where I haven’t received a couple of New School email messages for days or weeks after it’s been sent. This doesn’t affect all the messages, just a few. LMTH2030A Sp15 - Syllabus Required Calculator: A simple calculator with a square root function is required. Look closely before you buy. Some little calculators have the square root key and some do not. You may not use your phone or other smart device as a calculator for exams. You may not share calculators during exams. Communication: Please make sure you can access our course site in Canvas. Course materials and communications about the course will appear there. Each unit’s materials can be found under Modules. Additional links to assignments, discussions, syllabus, and files are provided to make accessing exactly the item you want more efficient. Announcements automatically go to your email as well as appearing in Canvas. Make sure that the email address you have associated with Canvas is working. You are responsible for ensuring that you get all messages. If you have registered, but do not have access to Canvas, please let me know right away! Requirements: Grades will be based on worksheets, lab assignments (SPSS), small projects, and tests. Details for each are provided in a separate handout. Attendance and class participation are required, Lecture PowerPoints will be posted in advance of the respective class. Please print your own copy if you would like to have it during class. Tests will occupy the entire class session. You may not share calculators or other materials during tests. No computers, cellphones, pdas, or other technological resources may be used for tests. % of Final Grade 20% (4% each) 15% (5% each) 10% (5% each) 10% 45% (15% each) 5 Worksheets 3 Labs (SPSS) Small Projects 1 & 2 Final Project Tests (4, lowest 1 or missed 1 dropped) Assignments and lectures will be posted on Blackboard at the beginning of each unit. Begin working on assignments early. Due dates are shown in the schedule below. Make sure that your work is legible, neatly prepared, and complete – problems typically have multiple parts. Check your work. If you need help, schedule time to meet with me. Students often study together and ask each other for help. If you give or get help on an assignment, make sure that you complete the work independently. Except as noted in the final project below, assignments are to be completed individually. Many people don’t like statistics, or anything mathematical. Some people have difficulty with these topics. If this is you, don’t expect to spend less time on your stats reading and written assignments than you would on topics you like better or are more comfortable with. Plan to spend time reading and testing yourself each week, before and after each class if possible. If you come to class prepared, having done the reading, and ask questions about what is not clear, you will find that each lesson builds logically on the previous one. Keep up with the work; contact me for help ANYTIME in the term. You can do well in this class! Page 2 of 6 LMTH2030A Sp15 - Syllabus Attendance: (See page 4 for details regarding the attendance policy.) Attendance is required. If you must be late or miss class, email or text me ahead of time, if possible. If you are ill and will be out for more than one class, contact me and your dept. Late and/or missed assignments: Hand in whatever you’ve finished when it is due. Falling behind in statistics is an invitation to disaster. Need help? PLEASE PLEASE contact me – text, email, before or after class. Don’t wait! (include your name) Cell Phones, iPods, etc.: . Do not send or receive texts or email in class2. Ditto for other devices. You are not invisible – it is distracting to me. What is even more distressing to me is the knowledge that the time you spend not participating in class detracts from your confidence with the material and success in the course. Lab Classes: Several times during the term we will have class in one of the computer labs where you will learn how to use SPSS to analyze data for a variety of designs typical of research. Attendance is required as it is for classroom sessions. Exams: You may not use your cell phone or any device other than your own calculator for exams. You may not use your phone or other device as a calculator during an exam. You may not share calculators during an exam. Worksheets: Some worksheets involve hand calculations; all assignments involve interpretation of statistical results, sometimes from SPSS output or other tables and graphs. Small Projects (2) and Final Project: You will select research topics of interest to you. All projects will involve applying the statistical procedures you have learned. For the first project, you will use data you collect or made-up data; for the second project, students will find secondary data online. Data analysis will be performed using SPSS. Projects 1 and 2 will involve summary reports submitted online. Project 3, which may be completed individually or in pairs, includes an in-class PowerPoint presentation. Students may select different topics for each project, or expand upon an earlier topic for each subsequent project. Course Grades: 94-100: A 91-93: A88-90: B+ 82-87: B 76-78: C+ 70-75: C 79-81: B67-69: C- Last Day to drop a class: Friday Feb. 13, 2015 Last Day to withdraw with a grade of W: Friday, March 13, 2015 2 If you are required to be on-call, please provide me with written proof. Page 3 of 6 LMTH2030A Sp15 - Syllabus Class Schedule3 Dates 1/26, 8 2/2 2/4 2/9 2/11 2/16 2/18 2/23 2/25 3/2 3/4, 9 3/11 3/16 3/18 3/23, 25 3/30 4/1 4/6 4/8, 13 4/15 4/20, 22 4/27 4/29 5/4 5/6 5/11 5/13, 18 3 Topic UNIT 1 – Descriptive Statistics Syllabus; Research Overview, Variables, Measurement, Math Review Frequency Tables/Graphs, Distributions; Small Project 1 Discussion Project 1 Topic and Data Plan Due – Submit online. Measures of Central Tendency and Variability Worksheet 1 Due. LAB 1: Descriptive Statistics: Lab 1 Due at end of class Brief review; Test 1 (Chapters 1 - 4) UNIT 2 – Foundations of Inferential Statistics Probability, Probability tables, Expected Value, Binomial Distributions Project 1 Due – online. z scores and the normal distribution; Sampling distributions PRESIDENTS DAY – NO CLASS Worksheet 2 Due. Sampling distributions; Review Test 2 (Chapters 5 - 7) UNIT 3 – Making inferences about One or Two means Review Test 1. Project 2 Discussion – Secondary Data. Hypothesis Testing, Effect Size, Power; Project 2 Topic Due; z Tests and Single Sample t Tests Two Independent Samples t Test; Related Samples t Test Lab 2: Hypothesis Testing using t Tests SPRING BREAK – NO CLASSES Lab 2 Due. Estimation and Confidence Intervals Small Project 2 Results Due Online; Worksheet 3 Due; Review Test 3 (Chapters 8-11) Project 3 Discussion; Oneway Analysis of Variance (ANOVA) Oneway within Subject ANOVA, Factorial ANOVA (parts) Correlation & Regression Worksheet 4 Due. Lab 3: ANOVA, Correlation, Regression. Review for Test 4. Lab 3 Due; Test 4 (chapters 12-16) Final Project Lab – prepare to show me your analyses Nonparametric Statistics Final Project Presentations! Subject to change – topics may be added, lengthened, shortened or eliminated. Page 4 of 6 Chapter 1 2 3-4 5 6-7 7 8-9 9-10 11 12 13-14 15-16 17-18 LMTH2030A Sp15 - Syllabus Lang’s Policy on Attendance and Lateness Absences may justify some grade reduction and a total of four absences mandate a reduction of one letter grade for the course. More than four absences mandate a failing grade for the course, unless there are extenuating circumstances, such as the following: o an extended illness requiring hospitalization or visit to a physician (with documentation) o a family emergency, e.g. serious illness (with written explanation) o observance of a religious holiday The attendance and lateness policies are enforced as of the first day of classes for all registered students. If registered during the first week of the add/drop period, the student is responsible for any missed assignments and coursework. For significant lateness, the instructor may consider the tardiness as an absence for the day. Students failing a course due to attendance should consult with an academic advisor to discuss options. Divisional and/or departmental/program policies serve as minimal guidelines, but policies may contain additional elements determined by the faculty member.” Disability Services. http://www.newschool.edu/student-services/student-disability-services/ “In keeping with the university’s policy of providing equal access for students with disabilities, any student with a disability who needs academic accommodations is welcome to meet with me privately. All conversations will be kept confidential. Students requesting any accommodations will also need to contact Student Disability Service (SDS). SDS will conduct an intake and, if appropriate, the Director will provide an academic accommodation notification letter for you to bring to me. At that point, I will review the letter with you and discuss these accommodations in relation to this course.” Tutoring: The New School offers free academic support for Statistics. Students can book appointments online at the following website. http://www.newschool.edu/learning-center/math-support/ University Policy on Academic Honesty Academic Honesty and Integrity Compromising your academic integrity may lead to serious consequences, including (but not limited to) one or more of the following: failure of the assignment, failure of the course, academic warning, disciplinary probation, suspension from the university, or dismissal from the university. University Policy The New School views “academic honesty and integrity” as the duty of every member of an academic community to claim authorship for his or her own work and only for that work, and to recognize the contributions of others accurately and completely. This obligation is fundamental to the integrity of intellectual debate, and creative and academic pursuits. Academic honesty and integrity includes accurate use of quotations, as well as appropriate and explicit citation of sources in instances of paraphrasing and describing ideas, or reporting on research findings or any aspect of the work of others (including that of faculty members and other students). Academic dishonesty results from infractions of this “accurate use”. The standards of academic honesty and integrity, and citation of sources, apply to all forms of academic work, including submissions of drafts of final papers or projects. All members of the University community are expected to conduct themselves in accord with the standards of academic honesty and integrity. Page 5 of 6 LMTH2030A Sp15 - Syllabus Students are responsible for understanding the University’s policy on academic honesty and integrity and must make use of proper citations of sources for writing papers, creating, presenting, and performing their work, taking examinations, and doing research. It is the responsibility of students to learn the procedures specific to their discipline for correctly and appropriately differentiating their own work from that of others. Individual divisions/programs may require their students to sign an Academic Integrity Statement declaring that they understand and agree to comply with this policy. The New School recognizes that the different nature of work across the schools of the University may require different procedures for citing sources and referring to the work of others. Particular academic procedures, however, are based in universal principles valid in all schools of The New School and institutions of higher education in general. This policy is not intended to interfere with the exercise of academic freedom and artistic expression. Definitions and Examples of Academic Dishonesty Academic dishonesty includes, but is not limited to: cheating on examinations, either by copying another student’s work or by utilizing unauthorized materials using work of others as one’s own original work and submitting such work to the university or to scholarly journals, magazines, or similar publications submission of another students’ work obtained by theft or purchase as one’s own original work submission of work downloaded from paid or unpaid sources on the internet as one’s own original work, or including the information in a submitted work without proper citation submitting the same work for more than one course without the knowledge and explicit approval of all of the faculty members involved destruction or defacement of the work of others aiding or abetting any act of academic dishonesty any attempt to gain academic advantage by presenting misleading information, making deceptive statements or falsifying documents, including documents related to internships engaging in other forms of academic misconduct that violate principles of integrity. The full policy is provided in the syllabus section of our Canvas Site. Page 6 of 6