CCJ 3700 SYLLABUS RESEARCH METHODS Course: Number: Schedule: Term: Credits: Reference # Room Research Methods CCJ 3700 Monday, 5:40 PM – 8:20 PM Spring, 2013 3 Credit Hours 728395 7209 Instructor Information: Dr. Caryn Horwitz, Assistant Professor School of Justice Office: 9114 Office Hours: Mon: 7:00 AM – 8:10 AM, 11: 05 AM – 11:15 AM, 12:40 PM – 2:30 PM Office Hours: Mon: 4:10 PM – 5:40 PM Office Hours: Tues: 10:00 AM – 2:20 PM Office Hours: Wed: 7:00 AM – 8:10 AM, 11:05 AM – 11:15 AM, 12:40 PM – 2:20 PM Office Hours: Also by Appointment Phone: 305-237-1731 Email: chorwitz@mdc.edu Course Description: This course describes and evaluates various research methodologies as applied to the study of Crime, Criminology, and Criminal Justice. Prerequisite: STA 2023. Textbook: Basics of Research Methods for Criminal Justice and Criminology, 3rd Edition Authors: Michael Maxfield and Earl Babbie Publisher: Wadsworth/Cengage Learning ISBN: 978-1-111-34691-1 Class Requirements Assignments: You will be required to take two in-class exams. You will participate in one group power point presentation based on a research topic approved by your professor. You will also write a research paper based on your research topic. Additionally, you will write two short papers based on your textbook readings. You will also be required to participate in all class discussions. We will discuss group presentation and writing requirements in class. Late Assignment Policy: No late presentations can be done nor will late papers be accepted. Grading Scale and Policy: You can earn up to 500 points in this class. Midterm Exam ==================================== 100 Points Final Exam =======================================100 Points Group Presentation =================================100 Points Research Paper ==================================== 100 Points 2 Short Papers (30 Points each) ========================= 60 Points Class Attendance and Participation ======================= 40 Points You can earn 3 points for each class meeting. Arrivals 10 minutes after start time and/or departures before the class ends will only earn you a maximum of 2 points for that class meeting. Please see below for electronic device use policy. If I need to ask you to put away your electronic device, you will only earn a maximum of 2 points for that class meeting. Thus, you have the potential of getting 0 to 3 points per class meeting even if you are partially in attendance. For example, if you arrive late and I need to ask you to put away your phone, you will only earn 1 point for that class meeting. Please keep track of your attendance (including late arrivals, early departures, and “caught by professor” electronic use violations). A ====== 440 or Above Points B ====== 390 – 439 Points C ====== 340 – 389 Points D ====== 290 – 339 Points F ====== 289 or Below Points Make-up Exam Policy: No make-up exams will be offered. Class Policies and Methodology Attendance: Attendance will be taken at each class meeting and is expected of each of you. You earn points for attending and participating in class. See above. Electronic Device Use: Please refrain from using any electronic device during class. If you must make an emergency call, please step out of the classroom. Email Policy: Copies of papers and presentations need to be printed and turned into professor. You may email the professor for specific questions that cannot be handled before and/or after class. Equipment and Supplies: No special supplies and/or equipment to buy except for the textbook used for our class. See above. 2 Professor’s Expectations: You will be expected to take a key role in your learning experience. You will read the textbook, attend class, participate in discussions, do your in-class presentations, write your papers, and take both the mid-term and final exam. Exams will be based on class discussions/lectures and your reading assignments. If you miss class, please get information about covered material from one of your colleagues in the class. Please do not write to me and ask me “Did I miss anything?” Assume you missed something! Methods of Instruction: Lectures and Discussions based on textbook and class participation. Unique Requirements of the Class: Your active participation in your learning experience by sharing in class discussions and bringing current newsworthy issues into class. Class Outline and Assignments: See below for reading assignments, dates for exams, and dates for papers due. College Policies: ATTENDANCE REPORTING: Federal guidelines require that the faculty now report student attendance. Students who have never attended class will be withdrawn prior to the withdrawal date. If a student has attended class and wants to withdraw, they should do so before the withdrawal deadline. If you have attended class but do not complete any assignments and then stop attending, you will receive a grade of F. If you complete an assignment and stop attending, you will receive a grade of F. ACADEMIC HONESTY: You are expected to do your own work. Cheating WILL NOT be tolerated. This includes, but is not limited to, collaboration on exams or quizzes and plagiarized papers. The first incidence will result in a grade of zero for the assignment. A second occurrence will result in a failing grade for the class, removal from the class and possible additional sanctions as determined by the Dean of Students. IMPORTANT NOTE: The course outline below is subject to change by the professor. CLASS OUTLINE Week 1 – Week of January 7 No Class Meeting Yet Week 2 – Week of January 14 Introduction: General Discussion Research Topics Week 3 – Week of January 21 – MLK Day! No Class – Please celebrate Martin Luther King Meet with your Research Group 3 Week 4 – Week of January 28 Criminal Justice and Scientific Inquiry Read Text, Chapter 1 Week 5 – Week of February 4 Ethics and Criminal Justice Research Read Text, Chapter 2 Week 6 – Week of February 11 General Issues in Research Design Read Text, Chapter 3 Week 7 – Week of February 18 – Presidents Day! No Class – Please celebrate your favorite President Meet with your Research Group Week 8 – Week of February 25 -- SHORT PAPER #1 DUE Concepts, Operationalization, and Measurement Read Text, Chapter 4 Week 9 – Week of March 4 -- MID-TERM on Monday Mid-Term Exam Group Project Meetings Week 10 – Week of March 11 Survey Research and Asking Questions Read Text, Chapter 7 Week 11 – Week of March 18 Sampling Read Text, Chapter 6 Week 12 – Week of March 25 Survey and Sampling Continued Text, Chapters 6 and 7 Week 13 – Week of April 1 Interpreting Data Read Text, Chapter 11 4 Week 14 – Week of April 8 -- ALL Copies of Presentations and Papers Due on Monday Interpreting our Own Data Text, Chapter 11 GROUP PRESENTATIONS Week 15 – Week of April 15 -- SHORT PAPER #2 DUE Other Research Techniques Reader’s Choice: Text, Chapters 5, 8, 9, or 10 GROUP PRESENTATIONS Week 16 – Week of April 22 Final Conclusions and Class Discussion GROUP PRESENTATIONS Week 17 – Week of April 29 – FINAL Exam on Monday Course Competencies: Competency 1: The student will understand criminal justice research statistics by: a. defining the nature of criminal justice research b. comparing differing hypotheses c. reviewing the stages of criminal justice research and data sources d. assessing the function of statistics and surveys Competency 2: The student will analyze the organization of criminal justice data by: a. comparing distribution and frequency distributions of nominal data b. reviewing proportions and percentages, ratios and rates c. interpreting graphic presentations d. defining using decimal data, percentile ranks, and cross tabulations Competency 3: The student will be able to measure the central tendency by: a. defining central tendency b. exploring modes of measurements c. describing data d. computing the mode, median, and mean Competency 4: The student will learn the measures of variability as it relates to crime statistics by:: a. comparing and contrasting Uniform Crime Report (UCR) data b. reviewing the National Crime Victimization Survey (NCVS) data c. analyzing the interpretation of crime data 5 Competency 5: The students will analyze probability and the normal curve by: a. computing probability and probability distributions for crime victimization b. examining the characteristics of perpetrators and victims c. examining crime trends and causal effects Competency 6: The student analyze crime data relative to populations targeted for violent crime by: a. defining and discussing sample populations b. identifying targeted populations for criminality c. reviewing professional journals for crime analysis and interpretation d. gathering arrest data from samples of populations Competency 7: The student will analyze crime related research by: a. identifying the research hypothesis b. analyzing the sample distribution c. analyzing levels of significance d. defining and discussing duration Competency 8: The student will analyze crime data by: a. examining the calculation between crime victimization and demographics b. examining the methodologies of reporting U.S. crime statistics c. examining the cause and effect of terrorist related crime d. utilizing a regression model reference to the “aging-out” theory Student Learning Outcomes: The School of Justice, Academic Programs will focus on the following Student Centered Learning Outcomes as a measure of student and program success: 1. DATA a. Examine the various types of data in criminal justice research. Learn how to collect and analyze data pertaining to specific criminal justice issues. 2. CULTURE a. Create strategies to research various criminal justice issues as relates to specific groups over and/or under represented in the criminal justice system. 3. ETHICS a. Create strategies to deal with various ethical issues in conducting criminal justice research. 4. COMMUNICATION a. Learning how to operationalize our research hypotheses and how to best communicate the results of our research. 5. LOGICAL REASONING a. Use logical reasoning in deciding research questions and analyzing our findings. 6