LEJA 303:1– Quantitative Techniques for LE, SPRING 2017 1 QUANTITATIVE TECHNIQUES FOR LAW ENFORCEMENT LEJA 303: SECTION 1 SPRING, 2017 MONDAY, WEDNESDAY & FRIDAY, 10:00 A.M. ~ 10:50 A.M. Stipes 301 Professor: Seungmug (Zech) Lee, PhD Stipes 410 Phone: 309-298-2746 Email: WesternOnline (Desire2Learn) email (preferred) OR s-lee5@wiu.edu Monday & Wednesday (11:00 A.M. ~ 12:00 P.M.) Office Hours: Monday & Wednesday (1:15 P.M. ~ 2:00 P.M.) Tuesday at QC Campus (3:00 P.M. ~ 3:30 P.M.) Walker, Jeffery T. and Maddan, Sean. (2013). Understanding statistics for the Text: social sciences, criminal justice, and criminology. Burlington, MA: Jones & Bartlett Learning. (ISBN 978-1-4496-3403-2) LEJA 101 and any WIU or IAI general education mathematics course; or Prerequisite: permission of instructor/chairperson
What are three elements in social science research?

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Course Description: This course is to introduce the basic research method and quantitative techniques for law enforcement. Its aim is to prepare students to be familiar with the methodology in research and statistics so that they can be able to evaluate critically as well as enable to design various quantitative and qualitative research projects on their own. Through the course, students will learn various new terms and techniques for conducting theoretically based research. In addition, students will learn and practice various quantitative techniques for the description and evaluation of crime prevention measures. Examples may include the analysis of crime data, program evaluation, and community surveys. It is expected for students to develop the skills of critical thinking about issues, practices, and numbers in the criminal justice system. Course Objectives: The study of this course will enable students to: ∙ Identify the basic steps in the research process; ∙ Explain the different levels of measurement; ∙ Understand and explain the descriptive statistics; ∙ Understand the measures of central tendency and dispersion; ∙ Understand the measures of statistical significance, strength, and direction of a relationship; ∙ Understand and explain the inferential statistics; ∙ Understand hypothesis tests; and ∙ Practice and be familiar with SPSS software for data analysis; Classroom Courtesy: Students are expected to observe basic rules of classroom courtesy. While the class is in session, newspaper reading, text messaging, phone checking, sleeping, and conversation with neighbors are UNACCEPTABLE. Cell phone, iPad, and any other electronic device, including a laptop computer, must absolutely be turned off and put away. If any student is detected to use them, he/she will be asked to leave the session. If it occurs twice or more, a letter grade for the course will be B (as the highest) or lower grades. If it happens three times or more, he/she will automatically fail the course. In addition, any “incivility” of verbal expression, statement, or behavior to students or professor during a classroom session, office hour, or any academic-related setting must not be tolerated. LEJA 303:1– Quantitative Techniques for LE, SPRING 2017 2 WesternOnline: This course is a WesternOnline-enhanced course. This means that most handouts and outside readings, if any, will be uploaded at http://westernonline.wiu.edu/. Any email communication should be done via WesternOnline email. The class announcement, schedule change, and all other changes will be uploaded on WesternOnline and announced in class in advance. If at any point you are having trouble getting onto Western Online, contact the UCSS Helpdesk at (309) 298-2704. Class Attendance Policy: The course is very intense and focused. Attendance is mandatory, and a daily roll is taken. TWO very strict attendance policies are applied to all students (NO EXCEPTION!!!). PLEASE read the following policies very carefully. (1) There are total 43 SESSIONS during this semester, except the final examination. Those who have five (5) and more unexcused absences will have two (2) percentage points per absence to be deducted from the final percentage points. For example, if you earn the 95 percentage scores at the end of the semester with six (6) unexcused absences, the final scores for a letter grade of this course will be 91, being subtracted four (4) points for two (2) unexcused absences. (2) Those who absent fourteen (14) and more, including all excused and unexcused absences will automatically fail this course. (3) Students are responsible for informing in advance or in a timely manner of the reason for their absence. An excused absence includes illness, bereavement, or religious observances. Just an email, verbal, or telephone notice for the possible absence or after-the-fact report DOES NOT count as an excusable absence! You MUST provide a proper documentation. (4) Any absence for earlier holiday observation is NOT an excused absence. Therefore, it is your absolute responsibility to attend class, participate in order to fulfill course requirements, and check the number of your absences. Any student who is tardy to class without cause, or leaves during classroom session for an unexcused reason or prior notification, will be given an unexcused absence for that session. Your professor will make the determination if the reason for an absence or tardiness is excusable or not. Grading Policy: This course is 300-level. Expectations are VERY high with two examinations, WorkNotes, exercises, individual/ team projects, SPSS Lab exercises, and class participation. All your scores from the “Activity” will be converted into the “percentage point.” The grading criterion is presented below. All grades will be uploaded on WesternOnline “gradebook” accordingly.
Student Evaluation
Grading
Activity
Point
Percentage Point
A A B+ B B C+ C C D+ D F
100.0~94.0% 93.9~90.0% 89.9~86.0% 85.9~83.0% 82.9~80.0% 79.9~76.0% 75.9~73.0% 72.9~70.0% 69.9~65.0% 64.9~60.0% =< 59.9%
Mid-term Exam Final Exam WorkNote (4X25 pts) Quiz Exercise Statistics Project Class Participation
100 100 100 100 100 100 20
15.0% 20.0% 15.0% 15.0% 15.0% 15.0% 5.0%
TOTAL
620
100%
What are the three approaches to connect between theory and research?

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Examination: There are two (2) examinations. The exams include material covered in the readings and in classroom discussions/lectures. All materials covered in class are not necessarily in the readings. You are responsible for the readings as well as information from the lectures. Since some students perform well in multiple-choice questions, true-false answers, others on essays, and yet others on short answers, the exams in this course include LEJA 303:1– Quantitative Techniques for LE, SPRING 2017 3 a mixture of these testing techniques. On the essay section, you must write according to essay format, not fragmented lists. The exams are not cumulative. WorkNote: Worknotes are designed to hold you accountable for daily/weekly readings and lectures. There are four (4) parts of the WorkNotes according to the major sections of this course. The format of your WorkNote is mostly short answer questions. You have to answer them during classroom sessions or after the sessions. The WorkNote will be collected after the session and be brought back in the following session. It is your responsibility to print them out from WesternOnline and keep them to prepare the examinations later on. PLEASE do not do your missed WorkNotes in class. There is no make-up or late submission for it. Course Exercise and Quiz: “Course Exercise” consists of several activities: (1) classroom exercise; (2) textbook exercise; (3) take-home exercise; and (4) SPSS Lab exercise. (1) The “classroom exercise” may include such activities as classroom discussion, classroom statistical calculations, and classroom team project. (2) The “textbook exercise” is to answer the “EXERCISES” questions. Each chapter has its section at the end. Selected questions and sections will be assigned according to class lectures and discussions. (3) The “take-home exercise” is to design to practice statistical techniques (i.e., to calculate averages, standard deviation, etc.) with real datasets. (4) The “SPSS Lab exercise” is to design to have hands-on practices of SPSS (Statistical Package for the Social Sciences), a popular statistical software (available with the computers at Stipes 303 and Stipes Computer Labs). The datasets and lab exercise guidelines will be either uploaded on WesternOnline or handed out in class. “Quiz” is designed to help you to review your weekly studies and exercises and to prepare the exams. There will be several quizzes by each chapter and available in WesternOnline quiz format. Quizzes will be UNANNOUNCED and administered in class. There is NO make-up quiz. Several course exercises and quizzes will be assigned with 10 points per assignment. The sections and instructions for all exercises will be EITHER handed out in class OR uploaded on WesternOnline in advance. Statistics Project: It is a team project to locate a statistical file mostly from the Interuniversity Consortium for Political and Social Research (ICPSR; https://www.icpsr.umich.edu/icpsrweb/), which is a central repository of data collected by social science researchers. All students must create an account in order to access the website to locate the file. The purpose of this project is to find an original statistical data as a secondary data source, to identify the title and goal of the study, to identify key variables, and to conduct statistical analyses, which will be covered in this class. The final product is to prepare a statistical paper and to present it to the class. All detailed guidelines for several steps will be uploaded on WesternOnline in advance. Late Work and Make-Up Exam Policy: All assignments are due before the session: not the middle; not the end; and not anytime after the session. There are NO make-up exams without documented, verifiable doctor’s excuse or emergency the DAY of the exam (not the day or week before). Further, you must notify me prior to the exam to explain your absence with the documentation. If a make-up should be necessary, it will be comprised of essay questions ONLY. The missed exam must be completed within one week of the scheduled date. Failure to take any examination may result in the student earning a Letter Grade F. In addition, if you expect to have an excused absence, you HAVE TO have the course requirement done in advance (e.g., test, quiz, exercise, etc.), NOT after the absent date. And NO LATE SUBMISSION will be accepted absolutely!! Student Rights and Responsibilities: Please see http://www.wiu.edu/provost/student.phpLEJA 303:1– Quantitative Techniques for LE, SPRING 2017 4 Student Academic Integrity Policy: The instructor will refer any findings of academic dishonesty (e.g., cheating and plagiarism) to university administrative officials for disposition (http://www.wiu.edu/policies/acintegrity.php). Students with Disabilities: In accordance with University values and disability law, students with disabilities may request academic accommodations where there are aspects of a course that result in barriers to inclusion or accurate assessment of achievement. To file an official request for disability-related accommodations, please contact the Disability Resource Center at 309-298-2512, disability@wiu.edu or in 143 Memorial Hall. Please notify the instructor as soon as possible to ensure that this course is accessible to you in a timely manner. Title IX Policy: University values, Title IX, and other federal and state laws prohibit sex discrimination, including sexual assault/misconduct, dating/domestic violence, and stalking. f you, or someone you know, has been the victim of any of these offenses, we encourage you to report this to the Title IX Coordinator at 309-298-1977 or anonymously online at http://www.wiu.edu/equal_opportunity_and_access/request_form/index.php. If you disclose an incident to a faculty member, the faculty member must notify the Title IX Coordinator. The complete Title IX policy is available at http://www.wiu.edu/vpas/policies/titleIX.php. TENTATIVE COURSE SCHEDULE
CLASS DATE
TOPICS
Week 1
Jan. 18,20
∙ Syllabus and Overview of the Course ∙ Ch. 1: The Foundations of Statistics – Theory and Methods
Week 2
Jan. 23,25,27
∙ Ch. 1: The Foundations of Statistics – Measurements
Week 3
Jan. 30 Feb. 1,3
∙ Ch. 1: The Foundations of Statistics – Graphs
Week 4
Feb. 6,8,10
∙ Ch. 2: Descriptive Statistics
Week 5
Feb. 13,15,17
∙ Ch. 2: Measures of Central Tendency NO CLASS (Monday, Feb. 13)
Week 6
Feb. 20,22,24
∙ Ch. 3: Measures of Dispersion
Week 7
Feb. 27 Mar. 1,3
∙ Ch. 3: Forms of a Distribution ∙ Ch. 4: Bivariate Tables and Analysis
Week 8
Mar. 6,8,10
∙ Ch. 5: Measures of Existence and Statistical Significance MIDTERM EXAM (Friday, March 10)
Week 9
Mar. 13,15,17
SPRING BREAK
Week 10
Mar. 20,22,24
∙ Ch. 6: Measures of the Strength of a Relationship
Week 11
Mar. 27,29,31
∙ Ch. 7: Measures of the Direction and Nature of a Relationship
Week 12
April 3,5,7
∙ Ch. 8: Inferential Statistics ∙ Ch. 9: Hypothesis Testing
Week 13
April 10,12,14
∙ Ch. 10: Hypothesis Tests
Week 14
April 17,19,21
∙ Ch. 11: Multivariate Statistics & ANOVA ∙ Ch. 12: Putting It All Together
Week 15
April 24,26,28
Class Reports
Week 16
May 1,3,5
Class Reports
May 8 (Mon.)
FINAL EXAM (10:00 A.M. ~ 11:50 A.M.)
What are the three primary ways that variables can vary?

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∙ It is your responsibility to complete all readings prior to the lecture. ∙ This schedule is tentative and is subject to change. All changes will be announced in class. It is the students’ responsibility to ensure they are apprised of any schedule change, which will be announced in class. QUANTITATIVE TECHNIQUES FOR LAW ENFORCEMENT LEJA 303:1 WORKNOTE SCHOOL OF LAW ENFORCEMENT & JUSTICE ADMINISTRATION WESTERN ILLINOIS UNIVERSITY SEMESTER: SPRING 2017 CLASS DAY/HOUR: MONDAYS, WEDNESDAYS & FRIDAYS @ STIPES 301 10:00 A.M. ~ 10:50 A.M. STUDENT NAME: __________________________ 1 LEJA 303 WorkNote – Part 1 (Name: ) QUANTITATIVE TECHNIQUES FOR LAW ENFORCEMENT WorkNote – Part 1 (Ch 1. Intro ~ Ch 2. Centrality) Major Points: Scientific inquiry Theory Inductive and deductive approaches Research process Literature review Research questions Research design Conceptualization Operationalization Variable Attribute Exhaustive measurement of the variable Mutually exclusive measurement of the variable Qualitative variable Quantitative variable Independent variable Dependent variable Nominal variable Ordinal variable Interval variable Ratio variable Statistics Descriptive statistics Inferential statistics Frequency distributions Frequency (f) Grouped frequency Range Proportion (p) Percentage (%) Rate Ratio Graph basic Histogram Frequency polygon Bar graph Pie chart Line chart (scatterplot) Central tendency Mode Median (Arithmetic) mean Deviation2 LEJA 303 WorkNote – Part 1 (Name: ) Chapter 1: The Foundations of Statistics: Theory & Method Q1. Describe the scientific inquiry. Q2. Describe the “statistical history.” Q3. Describe the “uses of statistics.” Q4. What are three elements in social science research? 3 LEJA 303 WorkNote – Part 1 (Name: ) Q5. Explain about the “theory.” Q6. What are the three approaches to connect between theory and research? Q7. Describe the “deductive method” in the process of scientific inquiry. [Q 8-16 on pages 4-9] Q8. On page 5, identify several activities in the process of scientific inquiry. 4 LEJA 303 WorkNote – Part 1 (Name: ) Q9. Describe the “primary questions” in scientific research. Q10. Describe the “research questions.” Q11. Describe the “hypothesis” with its types. Q12. Describe the “constructing research design.” 5 LEJA 303 WorkNote – Part 1 (Name: ) Q13. Explain about the “conceptualization.” Q14. Explain about the “operationalization.” Q15. Describe the “data collection.” Q16. Describe the “statistical analysis” in the process of research. Q17. Describe the “comparisons” in statistics. 6 LEJA 303 WorkNote – Part 1 (Name: ) Q18. Describe the “using comparable measures.” Q19. Describe the “interpretations” of statistical analysis. Q20. Describe the “communication” of the statistical results. 7 LEJA 303 WorkNote – Part 1 (Name: ) Chapter 1: The Foundations of Statistics: Variables and Measurement Q21. Define the “variable” and “attribute.” Q22. Explain the process of measurement. Q23. What are the three primary ways that variables can vary? Q24. Describe the “exhaustive” measurement of variable. Q25. Describe the “mutually exclusive” measurement of variable. Q26. Describe the “qualitative” variable. 8 LEJA 303 WorkNote – Part 1 (Name: ) Q27. Describe the “quantitative” variable. Q28. Describe the “dichotomous” variable. Q29. Describe the “continuous” variable. Q30. Describe the “discrete” variable. [Q 31-36 on pages 10-12] Q31. What are the four levels of measurement? Q32. Describe the “nominal” level of measurement. 9 LEJA 303 WorkNote – Part 1 (Name: ) Q33. Describe the “ordinal” level of measurement. Q34. Describe the “interval” level of measurement. Q35. Describe the “ratio” level of measurement. Q36. Describe the “changing levels” of measurement. 10 LEJA 303 WorkNote – Part 1 (Name: ) Q37. Describe the “scale continuity.” Q38. What is the “dependent variable”? Q39. What is the “independent variable”? Q40. What is the “confounding variable”? 11 LEJA 303 WorkNote – Part 1 (Name: ) Chapter 2: Descriptive Statistics Q41. What are the goals and branches of statistical analysis? Q42. Describe the “descriptive statistics.” Q43. Describe the “inferential statistics.” 12 LEJA 303 WorkNote – Part 1 (Name: ) Q44. What is the primary goal of inferential statistics? Q45. Summarize the following terms. ① Population: ② Sample: ③ Descriptive Statistics: ④ Inferential Statistics: Q46. Practice some basic mathematical operations and rules. 13 LEJA 303 WorkNote – Part 1 (Name: ) Q47. What are the three questions about the various statistical procedures? ① ② ③ Q48. Describe the “frequency distributions.” Q49. Describe the “frequency table.” Q50. Describe the “grouped frequency table.” 14 LEJA 303 WorkNote – Part 1 (Name: ) Q51. What are three tools to compare the groups of different sizes? ① ② ③ Q52. Describe the “proportion (p).” Q53. Describe the “percentage (%).” Q54. Practice!!
7
5 4
7 4
6
7
3
7
5
6
6 6
5 4
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x
f
p
%
7
6
5
4
3
Total
15 LEJA 303 WorkNote – Part 1 (Name: )
Gender of Student
Criminal Justice Major
College A
College B
f
p
%
f
p
%
Male
879
119
Female
473
64
Total
1352
183
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Q55. Describe the “rate.” Q56. Practice!!!!
City/State
Murders
Population
Murder rate per 10,000 population
City
3
29,665
State
1327
19,439,000
① Does the city have a higher or lower murder rate than the state? Q57. Describe the “ratio.” 16 LEJA 303 WorkNote – Part 1 (Name: ) Q58. Practice!!! Marital status of 334 probationers
Marital Status
f
p
%
Single
93
Married
86
Separated
42
Divorced
93
Widowed
6
Common Law
14
Total
334
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① Ratio of singles to common law: ② Ratio of married to divorced: 17 LEJA 303 WorkNote – Part 1 (Name: ) Illustration of Data (Graph) Q59. What are three graphical representations of frequencies? Q60. Describe “graph basic.” Q61. Describe the “pie chart.” Q62. Describe the “histograms” and “bar charts.” Q63. Describe the “polygons” and “area charts.” 18 LEJA 303 WorkNote – Part 1 (Name: ) Q64. Describe the “line charts.” Q65. Describe the “mapping methods.” 19 LEJA 303 WorkNote – Part 1 (Name: ) Chapter 2: Measures of Central Tendency (Averages) [Q 66-76 on pages 22-29] Q66. What is the “average”? Q67. List the three (3) measures of central tendency ① ② ③ Q68. What is the “mode”? Q69. Find the “mode” value from the below table. Marital status of the offenders
Marital Status
Frequency
Single

Married

Separated

Divorced

Other
93 86 42 89 20
Total
330
Q70. Describe the characteristics of the mode. 20 LEJA 303 WorkNote – Part 1 (Name: ) Q71. What is the “median”? Q72. “Median” practice!!! Test Grades in Three Class Sections
Section A Section B Section C

94 96 93

92 94 92

91 94 90

91 93 88

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89 89 85 87 87 85
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85 85 85 82 83 83
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79 81 79 76 78 76
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74 76 73 73 72
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71 71 67
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Mode =
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Median = ∑ = ܺത =
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Q73. What is the “mean (arithmetic mean)”? Q74. Describe the characteristics of the mean. 21 LEJA 303 WorkNote – Part 1 (Name: ) Q75. “Mean” practice!!! Offenders’ IQ score
Offender X (IQ Score)
Gene Steve Bob Michael Joan Jim Jane Mary
125 92 72 126 120 99 130 100
Total Sum (∑)= ܺത = Mode = Median =
Q76. Describe the concern using the averages. Q77. Describe the “deviation.” Q78. “Deviation” practice!!!
X
Deviation (X – ܺത)
(X – ܺത)2
9 8 6 5 2
Total Sum (∑) = ܺത =
∑ =
∑ =
22 LEJA 303 WorkNote – Part 1 (Name: )
Case
Score
Deviation (X – ܺത)
(X – ܺത)2
A
6
B
4
C
5
D
9
E
2
F
0
G
7
H
3
I
1
J
5
K
4
L
2
Total
∑ = ܺത =
∑ =
∑ =
Q79. “Deviation” and “Sums of the Squared Deviations” practice!!!
X
X - ܆ഥ
ሺࢄ − ࢄഥሻ
X - Mo
(X-Mo)2
X - Me
(X-Me)2
7
Sum (∑) = ܺത = Mode = Median =
6
5
5
4
3
3
3
2
2
∑