Quantitative Analysis in Criminal Justice final paper

COURSE INFORMATION:

CJ 6321 : Quantitative Analysis in Criminal Justice (CRN: 21932) Semester Credit Hours: 3

PROFESSOR: Dr. Shannon Fowler TERM: Fall 2021

PHONE: 713.223.7996 E-MAIL: [email protected] (preferred)

CLASS HOURS: n/a, an asynchronous online course OFFICE: CSB 340.J

CLASSROOM: login to the appropriate course in Blackboard Learn

OFFICE HOURS: Monday 1:00PM - 2:30PM & Wednesday 11:00AM - 12:30PM on Zoom (check Blackboard for meeting ID and password). Please feel free to contact me. I'm available by messaging in Blackboard, email, phone, video chat via Zoom, & face-to-face by appointment (as university allows C340.J) during other times by appointment.

COURSE DESCRIPTION:

Prerequisite: Graduate standing or department approval, an undergraduate statistics course within the last 5 years, and CJ 6320.

Description: The use of descriptive and inferential statistics and computer applications as used in criminal justice research.

COURSE OBJECTIVES:

This course will meet the degree program’s learning objective:

LO 4: Students will be able to interpret and apply techniques of statistical analysis to the study of crime and justice.

By the end of the course students shall be able to:

Learning Objectives:	Assessed by:
1) Evaluate the design context and data assumptions in order to appropriately analyze the data	embedded quizzes, projects, class participation, analytical paper & presentation
2) Analyze data using univariate, bivariate, & multivariate statistical techniques	embedded quizzes, projects, class participation, analytical paper & presentation
3) Interpret the results of analyses	embedded quizzes, projects, class participation, analytical paper & presentation
4) Professionally present the results of the analysis	analytical paper & presentation, projects
5) Analyze data using SPSS	embedded quizzes, Introduction to SPSS assignment, projects, class participation, analytical paper & presentation
6) Choose appropriate statistical techniques for analytical situations	embedded quizzes, projects, class participation, analytical paper & presentation
7) Design and execute a data analysis plan for a selected research question	class participation, analytical paper & presentation, projects

REQUIRED MATERIALS:

Elliot, A. C., & Woodward, W. A. (2019). Quick guide to IBM SPSS: Statistical analysis with step-by-step examples (3rd ed.). Thousand Oaks, CA: Sage. ISBN: 9781544360423

Other required readings and materials will be posted to Blackboard throughout the course.

IBM SPSS (downloaded from UHD) – Most of your assignments will require the use of statistical software, SPSS. You can download it for free from UHD. By clicking this link, you will complete a license download request from UHD. Once your student status is verified you will receive further instructions. Be sure to check your Gatormail for that. You can also use SPSS for free if you can make it to UHD campus computer labs. Should the labs become unavailable, students will be required to obtain the software.

A microphone that is hardwired or adapted to a computer

HIGHLY RECOMMENDED MATERIALS:

Morgan, S. E., Reichert, T., & Harrison, T. R., (2016). From numbers to words: Reporting statistical results for the social sciences. New York, NY: Routledge. ISBN: 9781138638082

Williams III, F. P. (2009). Statistical concepts for criminal justice and criminology. Upper Saddle, NJ: Pearson Education. ISBN: 978-0-13-513046-9

Copies of the texts can be purchased from the UHD Bookstore by clicking here.

Book Purchasing. A student of this institution is not under any obligation to purchase a textbook from a university affiliated bookstore. The same textbook may also be purchased from an independent retailer, including an online retailer.

FULLY ON-LINE:

Technology & Network Requirements. This is a fully online course; as such, all students are expected to have reliable computing hardware, software, and the Internet & network access. To maximize your success in online coursework, you should have access to a desktop or laptop computer running an up-to-date Windows or macOS operating system, using the latest Firefox or Chrome browsers. A built-in or add-on webcam is also often required in certain courses (like this one) where multimedia tools (Zoom, VoiceThread, etc.) and/or exam proctoring tools (Lockdown Browser, Monitor, etc.) are used. Chromebooks and some other tablets are not compatible with test proctoring tools such as ProctorU or Lockdown Browser. While the Blackboard App (e.g., on your phone) can be helpful for some course features, UHD recommends that you do not use it for working on or submitting graded activities.

To avoid being disconnected at critical moments, we encourage you to access courses, in particular exams, on a computer that is hardwired to the Internet router (via Ethernet using a Cat 5, 5e, 6, or 7 cable) as opposed to depending on Wi-Fi whenever possible. Additionally, this course requires additional software downloads and installs, so you will need a machine with permission to do that. For more information on taking Blackboard tests, see this guide. If you are experiencing challenges with technology, please communicate with your instructor in a timely manner and seek help from our UHD IT support center to identify possible solutions, clicking this link can get you started.

You should have access to a desktop or laptop computer running an up-to-date Windows or macOS operating system, using the latest Firefox or Chrome browsers. To avoid being disconnected at critical moments, we encourage you to access courses, in particular exams, on a computer that is hardwired to the Internet router (via Ethernet using a Cat 5, 5e, 6, or 7 cable) as opposed to depending on Wi-Fi whenever possible. Additionally, certain courses may require additional software downloads and installs, so you may need a machine with permission to do that. Problems in these areas are not legitimate excuses for failure to complete assignments or access course materials. These are important criteria for enrolling and successfully completing an online course. Making sure these things are in place is the responsibility of the student. If you do not have access to the requisite required technology your learning and grades may be negatively impacted.

You will be required to use Blackboard Learn as part of this course. This is where the bulk of the course materials are housed (assignments, lesson notes, etc.). Additionally, this is an asynchronous online class, students are not required to attend any specific time-bound events, but will have to complete assignments and exams within certain timeframes.

If you have a technical problem, please do contact me immediately for help resolving the issue. Please understand that I will try to work through as many issues with you as possible; however, I am not able to “fix” every issue. If you lose access to Blackboard or have other technology issues please contact the UHD IT Help Desk. You can contact the Help Desk directly by phone at (713)221-8031, by chatting at www.uhd.edu/rdm, by email, or via website.

Additionally, attempting to use the mobile version of Blackboard may result in a loss of connection, limited access to content, and unreliable or inadequate submission of assignments. While the Blackboard App (e.g., on your phone) can be helpful for some course features, UHD recommends that you do not use it for working on or submitting graded activities. I do encourage the use of the BB mobile app to keep up to date on course notifications.

Online Readiness Self-Assessment. Click here to complete UHD’s self-assessment to receive specific feedback based on a student’s individual needs about your readiness to take online courses. This self-assessment has 22 questions, and it shouldn't take more than a few minutes for you to complete.

Electronic Communication. The instructor will communicate with students on an individual basis primarily using official UHD email. It is the student’s responsibility to check official UHD email and Blackboard messaging accounts and review the messages in them. The instructor will communicate with the class primarily using the announcements feature in Blackboard. It is the student’s responsibility to read class announcements, the course question discussion board, etc. for course news. Additionally, the instructor has a responsibility to respond to student messages sent to him on a regular basis. I will make every effort to respond within 2 business days to student-initiated communications. Emailing me is the best way to reach me. If you have an emergency and I have not responded to you call my phone and leave a voicemail stressing the importance of this situation.

COURSE REQUIREMENTS:

Introduction to SPSS. A straightforward assignment that asks you to create a data set in SPSS. See the Course Outline section of the syllabus and Blackboard for the due date.

Participation. This is based on small group exercises. Class attendance and participation is vital to not only demonstrating comprehension of the course material but also valuable as a chance for feedback and improvement. Students will often be placed in small groups (in a way that does not violate UHD policy on social distancing) to solve problems, execute analyses, interpret results, and receive feedback that can be used to improve overall performance. This is a scored portion of the overall course grade; please do not neglect it.

Lesson notes – embedded quizzes and activities. Most of the lesson modules will contain embedded quizzes and activities based on that lesson’s content. By earning at least 80% of the possible points on these embedded quizzes and activities, students demonstrate that you have been paying attention to the material presented. These quizzes and activities do not count toward students’ final grades. However, in order to access and complete graded assignments in the lessons or move on to the next lesson, students must earn at least 80% of the possible points on these embedded quizzes and activities. As such, these are ungraded requirements of the course. Students not completing these quizzes and activities in the lesson notes with an 80% or better will not be able to complete graded assignments.

Projects. There will be 11 assignments covering course materials for that particular lesson. These assignments gauge students’ understanding & familiarity of the material, their ability to interpret results, how well they can discuss/present results, how well they can analyze data with SPSS, and choose appropriate techniques for data analysis. Each of these assignments is worth 20 points. A typical project will ask you to: (a) select variables in one of the available data sets (or will specify variables and a data set), (b) conduct some form of statistical analysis presented in the corresponding lesson, and (c) interpret the results. Sometimes, lesson projects are open-ended assignments. In other instances, projects are split into two portions. One portion will ask for closed-ended responses and short-answer questions. The second portion will be an open-ended assignment. The dates they are due are listed in the Course Outline section of the syllabus and must be submitted by 11:59 p.m. CT. Project assignments are late immediately after the due date.

Analytical Paper & Presentation. The paper and presentation represent the culmination of the course work. This paper and presentation should demonstrate the student’s ability to analyze data over a particular issue in an appropriate and professional manner. Using data sets available in the class (or outside ones approved by the professor), students will appropriately analyze data over an assigned issue. As such, students will ask a research question, perform a brief literature review, and generate an appropriate hypothesis. Students will then analyze data and interpret the results as either supportive or not supportive of the hypothesis, interpreting other relevant information as necessary.

In order to check progress and performance, students will make at least two mandatory appointments to discuss their topics and progress with the professor at two different points. These meetings will occur prior to the submission deadline, and earlier conversations are encouraged. It is up to the student to request and fit into the professor’s schedule well before the due dates in the Course Outline. In these meetings students should be ready to discuss issues encountered with identifying independent and dependent variables, the suitability of data sources, formulating a hypothesis, locating relevant literature, data characteristics as related to appropriate analysis options, and demonstrating both progress and understanding of the execution and interpretation of the analysis.

From the material in the paper, students will produce an 8-10 minute professional presentation with visual aids (e.g., slide deck, Prezi, etc.). This represents a well-prepared oral description of your paper’s topic and why it is appropriate for analysis, the hypothesis, method, justification for analytical plan, results, and conclusions with discussion of (non)support for the hypothesis and potential sources of error during interpretation—similar to a presentation at an academic conference. Expect instructor feedback that may be used to strengthen the paper prior to submission. Check the Course Outline for presentation and paper due dates.

MAKE-UP ASSIGNMENTS:

I will not accept late homework or other assignments for credit. If you know you will miss an assignment or may have trouble meeting a deadline please contact me ahead of time to work out arrangements, early submissions for credit are welcome. If there are any issues with completing any assignment, please contact the instructor immediately.

GRADING SCALE:

Points	Grade
390-351	= A
350-312	= B
311-273	= C
272-234	= D
< 234	= F

Assignment	Points
Projects (11 @ 20 points each)	220
Class Participation	25
Analytical Paper & Presentation	100
Paper Meeting Sign Ups	30
Introduction to SPSS	15
Total	390

DROP POLICY:

For more information about information and dates related to dropping /withdrawing from a course visit the following sites for a more comprehensive presentation of dropping and withdrawing from courses.

· Registrar Information About Course Drops

· Financial Aid Information About Course Drops

· Academic Calendar Information About Course Drops

STUDENT SUCCESS & COURSE PARTICIPATION:

Student Preparation & Success. It is my wish that students succeed in this class. My role, as an instructor, is to facilitate students’ learning. Ultimately, however, students have the responsibility for their education. Students put themselves in the very best position to succeed by doing, at a minimum, the following: (1) attend all classes; (2) login to Blackboard and engage with the course material; (3) be prepared to ask questions and discuss course material; (4) complete all assignments on time; and (5) check the BB course site and course communications several times per week. It is my expectation that students will spend roughly 4 hours outside class on your own consuming and reflecting on course materials, preparing for classes, and completing assignments for each lesson module.

Course Engagement & Administrative Drop. You must engage with course materials and/or (depending on your faculty’s syllabus and course requirements) connect with your faculty member before the 10th calendar day of class, failure to do so may result in your being administratively dropped from this course. Being dropped from this course may affect your enrollment status and/or your financial aid eligibility. If you are dropped from this course, you may appeal through the Office of the Registrar. Once dropped, you will lose access to the course materials in Blackboard until your appeal is resolved.

STUDENT SUPPORT SERVICES AVAILABLE:

UHD offers students various programs aimed at educational success. In addition to providing academic advising to all incoming students, the University College offers support and tutoring for math at the Math and Statistics Center (phone: 713-221-8241, email, or appointments via website) and for writing at the Writing and Reading Center (phone: 713-221-8670, email, or appointments via website). For further information about academic support, students can visit the University College’s website or call (713) 221-8007.

Diversity, Inclusion, & Respect:

The material in this course is intended to encourage critical thinking and some discussion as we examine new ideas and concepts. As the instructor, I will do my best to foster an environment in which each class member is able to hear and respect each other. In turn, it is vital that each class member show respect for all worldviews and diverse experiences expressed in class.

It is my intent that students from all diverse backgrounds and perspectives be well served by this course, that students’ learning needs be addressed both in and out of class, and that the diversity that students bring to this class be viewed as a resource, strength and benefit. It is my intent to present materials and activities that are respectful of diversity in gender, sexuality, disability, age, socioeconomic status, ethnicity, race, and culture.

Students are asked to be courteous and considerate at all times. Rude comments and other disrespectful behavior are unacceptable. Being considerate also entails not making certain statements that may be construed as obscene/offensive or using similar symbols or wording. There are different ways of accurately and civilly communicating messages. I expect that each student will take the time to carefully consider and reflect on their comments before making them. What you say and how you communicate are important. Keep the following points in mind when communicating with others in the course:

· Refrain from using judgmental language.

· Avoid victim-blaming language.

· Avoid negativity; frame your comments positively. Feel free to disagree, but do so in terms of objectively, logically, or rationally discussing why it is you disagree. Using bold statements and language that is too frank can stifle communication and potentially convey that you are not open to discussion.

· Keep your emotions in check. It is OK to be passionate, but do not let it overshadow the substance of what you are communicating—your idea, criticism, or point raised.

· Being humorous or funny may come across in an unintended fashion; this includes inside jokes. Be straightforward.

· Refrain from using acronyms not everyone would understand.

· Disagree politely.

· Keep comments on track about an idea or issue – avoid personalizing the issue. Do your best to keep your personal history and experiences from being the main idea; rather, use those experiences as jumping off points that other people may experience or use them as a possible alternative perspective that others share.

· What you type is important. ALL CAPS can mean you are screaming! Multiple punctuation marks can be aggressive (???? or !!!!). Make sure what you type is proofread and matches your intended tone.

Keep in mind that when making statements they could be subject to subpoena and be made part of the public record. Communicate accordingly.

Preparing for Emergencies:

I encourage each student to have a backup plan in case emergency circumstances arise while you are enrolled in this course (e.g., computer crash, natural disaster, medical emergency, etc.). I recommend the following:

· Rely on someone you trust to contact the instructor in an emergency. In case you are unable to contact me personally, give someone you trust my contact information and instruct them to contact me on your behalf should you not be able to do so, to briefly describe what the general nature of your emergency is and why you will not be able to complete the course or assignments.

· Save your work and maintain back-ups that are easily accessible to you. For instance, you could save copies of your work to a flash drive or cloud storage (e.g., Dropbox, Google Drive, Microsoft OneDrive, etc.). When your primary computer crashes, be sure to have backup copies to minimize your losses.

· Locate and make sure you can access a secondary computing source. In case you lose your primary computing source that you rely on to complete assignments, be sure to plan ahead and locate alternate computers or devices you can use to complete the necessary work in this course. Examples could be making a trip to a UHD campus computer lab, visiting your local library, or rely on someone you trust to help you as needed.

· Locate and make sure you can access a secondary Internet source. Have a plan on how you will access the Internet to complete and submit your coursework if your primary source becomes unavailable. For instance, if you live near UHD’s campus you can use your credentials to log on to computers in the campus labs, visit your local library, go to your favorite coffee shop, find guest access from a public school, or rely on someone you trust to help you as needed.

UHD Common Course Syllabus Policies

Responses to University-Wide Disruptions. In the event of university-wide disruptions for any reason, including weather, health, and safety concerns, UHD may require instructors and students to engage in their classes via different modalities and/or timelines to minimize disruption to the continuity of the semester. Such changes may entail adjustments in syllabus content. Instructors will communicate any changes in writing to all enrolled students as soon as circumstances allow. Disruptions aside, instructors reserve the right to adjust their syllabi as needed in order to accommodate the education needs of the class, but any such changes will be communicated to students in writing during the course of the semester. Please continue to check the UHD website uhd.edu to understand how UHD is responding to the most current COVID-19 circumstances and regularly check your class Blackboard site and Gatormail sources for information specific to your classes.

COVID-19 Exposure or Diagnosis. Any student who is exposed to or diagnosed with COVID-19 should self-report to the university using forms found on our UHD COVID-19 Webpage, even if you are taking only online courses. Self-reporting allows the university to offer support and guide you to university and community resources, as well as maximize safety for the larger UHD community. You as a student may be eligible for short-term academic accommodations if you are affected by COVID or are asked to quarantine. You should make this request through the Office of Disability Services. Please note that reporting through faculty or staff does not constitute official self-reporting. For classes with in-person meetings (FTF or Hybrid): If any member of the class reports exposure or diagnosis while on campus, instructors will follow the instructions for immediate action posted in all classrooms. Our UHD contact tracing team may contact class members and instructor with appropriate steps, which may include self-isolation for a period of time. All students and instructors should be responsive to contact tracing outreach and watch for emails through official UHD email accounts for any information about class meetings or follow-up steps.

Safety Precautions. All individuals coming to the UHD campus must observe all safety precautions articulated by the university. Please review the most current requirements on our website. We encourage all UHD community members to get vaccinated and follow; masks are optional but encourages as per state health guidance. Failure to comply with any institutional policies, including those regarding COVID precautions, may constitute a violation of the student code of conduct and lead to disciplinary action through the Office of the Dean of Students.

Student Counseling Services. As a student you may experience a range of issues that can cause barriers to learning. These might include strained relationships, anxiety, high levels of stress, alcohol/drug problems, feeling down, or loss of motivation. UHD Student Counseling Services is here to help with these or other issues you may experience. You can learn about the free, confidential mental health services available on campus by calling 713-500-3852 or at https://www.uhd.edu/student-life/counseling/.

Accessibility and Statement of Reasonable Accommodations. The University of Houston-Downtown (UHD), is committed to creating a learning environment that meets the needs of its diverse student population. Accordingly, UHD strives to provide reasonable academic accommodations to students who request and are eligible, as specified by Section 504 and ADA guidelines. Students with disabilities may work with the Office of Disability Services to discuss a range of options to removing barriers in this course, including official accommodations. If you have a disability, or think you may have a disability, please contact the Office of Disability Services, to begin this conversation or request an official accommodation. Office of Disability Services, One Main St., Suite GSB 314, Houston, TX 77002. (Office Phone) 713-221-5078 (Website) www.uhd.edu/disability/ (Email) [email protected]

Technology Requirements. All classes at UHD require students to access materials in our Blackboard learning system or other learning applications. Online, hybrid or even face-to-face classes will assign work that requires access to a computer for creating and submitting assignments, taking tests, conducting research, working with classmates, or engaging with the class. As importantly, if University locations are not available to students for any reason, the online environment becomes a critical pathway for continuing our classes and supporting your goals of completion. Unfortunately, most phones and even some tablets may not provide the level of technology or access that can maximize your success. Therefore, it is essential for every student at UHD to have reliable access to internet and a computer that meets some basic requirements.

You should communicate in a timely manner with your instructors in the case of any challenges in using technology.

Here are some resources to help you determine equipment needs and usage:

For recommended technology requirements: Technology recommendation

For challenges in using technology: UHD IT support center

For resources on purchasing technology: Computer access and support

Testing and Final Exams. Any class may use an online testing option through Blackboard but for in-person or hybrid classes, the exam may be in-person during the scheduled exam period. For more information on taking Blackboard tests, see this guide. If proctoring is required, your instructor will inform you of the process for setting up this option either through Blackboard or an alternative venue, and they will inform you of whether there are any additional costs as part of the course syllabus. UHD has a final exam period at the end of the semester. For any courses with an in-person component, there are specific times scheduled for the exams which can be found on our academic calendars webpage. Students are expected to be available during the scheduled period unless they have consulted their instructor and identified an alternative option.

Use of Blackboard, Gatormail, and Zoom. You are expected to regularly participate in your classes as scheduled as well as engage course material through Blackboard as required by instructors. Gatormail is the official UHD email communication system and UHD staff and faculty must use it to share student-specific information that is protected by FERPA guidelines. You should check your account regularly for both class and university messages. If you are taking a class that has virtual online meetings that use Zoom, you are expected to attend at scheduled times and participate fully following any protocols established by your instructor. Specific course elements and/or exams may require live video. Your instructor will provide this information to you as part of the course syllabus. Students with concerns regarding any requirement to participate in live video for specific course learning outcomes and/or assignments should consult their instructor.

Recording of Class Sessions. Some of the sessions in courses with online engagement may be pre-recorded, recorded or live-streamed by the instructor. Such recordings/streaming will be available only to students registered for this class. Students should not share these instructor-recorded sessions with those not in the class, or upload them to any other online environment. Students should not record or stream course sessions. Doing so may be a violation of the Federal Education Rights and Privacy Act (FERPA). Please check with your instructor before sharing recordings of class content with any individual.

Academic Honesty. As a UHD student, you are responsible for following the UHD Academic Honesty Policy Statement 3.A.19, which defines the scope of academic honesty and identifies processes for addressing violations, including an appeal process. As per the policy, “students are responsible for maintaining the academic integrity of the University by following the Academic Honesty Policy. Students are responsible for doing their own work and avoiding all forms of academic dishonesty.” Academic dishonesty includes, but is not limited to, cheating and plagiarism. Your faculty member will identify the penalty for academic honesty violations and the penalty of an F in a course is recommended “in instances of multiple and/or flagrant violations.” The policy also requires that all violations are reported to the Office of the Dean of Students.

OTHER POLICIES:

Visiting Students. If you are a student visiting from another institution taking this class, you are bound by policies at UHD and those outlined in (and for) this course. Additionally, you may still have to abide by policies from your home institution.

Syllabus Changes. The schedule, policies, and assignments in this course are subject to change at the instructor’s discretion. I will make a concerted effort to adhere to the all things in the syllabus, but unforeseen circumstances sometimes arise that require altering both content, practices, and schedules.

COURSE OUTLINE:

Class Date	Lesson	Assigned Readings	Assignments
8/23	Introduction to Statistics: (1) Types & purposes of statistics, (2) Research design, (3) Variability & measurement, (4) SPSS overview	Elliott: pp. 1-6; 10-13, Appendix B - - - - - - - - - - - - - - Williams: Ch. 1	Orientation Quiz Due: 8/29
8/30	Levels of Measurement & Using SPSS: (1) Levels of measurement, (2) Working with SPSS data	Elliott: pp. 13-23 & Appendix A - - - - - - - - - - - - - - Williams: Ch. 2	Introduction to SPSS Due: 9/5 Paper Topic Sign-Up Due: 9/5
9/6	Descriptive statistics-graphs, tables, & figures: (1) Types of graphs, (2) Frequency distributions, (3) Using SPSS to generate graphs & frequency distributions	Elliott: pp. 42-51 & Ch. 3 - - - - - - - - - - - - - - Williams: Chs. 3 & 7, Appendix A	Project 1 Due: 9/12 Sign up for 1st paper meeting by 9/12
9/13	Descriptive Statistics-summary measures: (1) Measures of central tendency, (2) Measures of dispersion, (3) Describing distributions, (4) Properties of distributions	Review Elliot Ch. 3 - - - - - - - - - - - - - - Williams: Chs. 4-6, Appendix B	Project 2 Due: 9/19 Sign up for 2nd paper meeting by 9/19
9/20	Describing bivariate data & hypotheses: (1) Cross-tabulations, (2) Comparing group means, (3) Scatterplots, (4) Logic of hypothesis testing, (5) Creating hypotheses, (6) Significance	Elliott: pp. 6-10; 51-56 - - - - - - - - - - - - - - Williams: Chs. 8 – 10	Project 3 Due: 9/26
9/27	Chi-square & variants: (1) Chi-square tests, (2) Alternatives to the chi-square test (Fischer’s Exact test, Maximum likelihood chi-square), (3) Layering contingency tables	Elliot: pp. 167-187 - - - - - - - - - - - - - - Williams: Ch. 11, pp. 160-162	Project 4 Due: 10/3
10/4	Measures of association, part 1: (1) Association & correlation, (2) Proportionate reduction of error, (3) Phi-coefficient, (4) Lambda, (5) Uncertainty coefficient	Elliot: pp. 211-212 - - - - - - - - - - - - - - Williams: Chs. 14 & 15, Appendix E	Project 5 Due: 10/10
10/11	Measures of association, part 2: (1) Gamma, (2) Somer’s d, (3) Pearson’s r	Elliot: pp. 125-148 - - - - - - - - - - - - - - Williams: PP. 147-154 & Appendix F	Project 6 Due: 10/17
10/18	Group comparisons, part 1: (1) Mann-Whitney U, (2) Kruskal-Wallis H, (3) t-tests (independent-samples & related-samples)	Elliot: Ch. 4 & pp. 277-285 - - - - - - - - - - - - - - Williams: Appendix C & Ch. 12	Project 7 Due: 10/24
10/25	Group comparisons, part 2: (1) One-way ANOVA, (2) two-way ANOVA	Elliot: pp. 215-249 - - - - - - - - - - - - - - Williams: Ch. 13 & Appendix D	Project 8 Due: 10/31
11/1	Multivariate tests for continuous outcomes: (1) Partial correlation, (2) Semi-partial correlation, (3) Multivariate [multiple] regression	Elliot: pp. 137-166 - - - - - - - - - - - - - - Williams: pp. 154-168	Project 9 Due: 11/7
11/8	Multivariate test for binary outcomes: (1) binary logistic regression	Elliot: Ch. 9 Electronic handout	Project 10 Due: 11/14
11/15	Multivariate test for count outcomes: (1) Poisson regression, (2) Negative binomial regression	Electronic handout	Project 11 Due: 11/21
12/5	Analytical Paper Presentations Due by 11:59 p.m.
12/14	Analytical Papers Due by 11:59 p.m.

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