(50:920:301) Methods and Techniques of Social Research
Instructor:
Ted
Goertzel email:
goertzel@camden.rutgers.edu.
Teaching Assistant: Ekaterina Shohat Email: kaynarov@camden.rutgers.edu
This is a "hybrid internet" class. We will meet on campus, in Penn 401 on top of the library (unless the registrar changes the room), on January 19, March 1 and April 26. Other classes will be in our Blackboard Collaborate virtual classroom. All classes will meet from 7:30 to 8:50 on Thursdays. The final examination will also be given on campus. All other classes will be held online in a virtual classroom.
The link to the Virtual Classroom is here. Weekly quizzes and homework assignments will be online in SAKAI.
Attendance at the online class sessions on Thursday evenings is required and Blackboard collaborate will automatically take attendance for all virtual sessions. You should be prepared to be called on to participate in discussions if you do not volunteer by raising your (virtual) hand. All sessions will be recorded, and you may make-up missed sessions by viewing the session and posting a 250 word reaction paper to the dropbox on SAKAI. The reaction paper must refer specifically to things discussed in class, not just to things in the readings or posted PowerPoints. To submit a reaction paper: 1) write it in a word processor, 2) copy it, 3) paste it into the box on the "reaction paper" link in SAKAI. All reaction papers must be submitted before the next class is scheduled to begin. If you wait until after that, the assignment box will be closed.
All assignments for this course will be listed in the SAKAI course management system. You should click on the Assignments and Resources link along the left of our SAKAI course page (when it is opened), then click on the folder for each week. A new page of reading assignments, sometimes including powerpoint presentations and videos, will be posted on Friday of each week. Preliminary versions may be posted earlier for your convenience, but may be updated as late as Friday to allow for including things that come up in class on Tuesday night. Some reading materials will be posted on the Internet and will be linked from the weekly assignment page. Others will be posted in the weekly SAKAI resources folder. Writing assignments will also be announced on the weekly assignment page.
To find the quizzes and assignments, log onto SAKAI, look for the tab for our course, and click on "Assignments & Materials." If you have taken many SAKAI courses before, you may have to rearrange your tabs to see our course. Click on the My Workspace tab and on Membership to see all your courses. Click on Preferences and Customize Tabs to set SAKAI so that your current courses appear at the top of the page.
There will be a weekly research or statistics assignment and two versions of each weekly quiz. The "early bird" version of the quiz will close promptly at 11 p.m. on Tuesday of each week. The "last chance" version will close promptly at 5 p.m. on Thursday. The weekly assignment will close at 11 p.m. on Wednesday each week (unless announced otherwise on the weekly assignment page.) The two versions of the quizzes will be similar, but the items will not all be the same. The highest of your two quiz scores will count. If you miss the "early bird" quiz, your "last chance" score will count. If you have a computer crash or other problem, you should email me immediately: tedgoertzel@gmail.com. There will be no make-ups for technical reasons unless you email me within one hour of the official closing time of the quiz. Grading will be based on attendance and participation, weekly quizzes and assignments, and midterm and final exams.
This is an introductory course in the methods and techniques of social research as used in criminal justice, sociology and related fields. This course is a prerequisite for Ethics and Policy in Criminal Justice and Theories of Crime and Delinquency.
1. To learn enough about social research to be able to read original research reports published in social science journals.
2. To learn how to design questionnaires, collect survey data, and analyze the data.
3. To learn how to analyze data from published statistical sources such as The Statistical Abstract of the United States.
4. To learn how to use statistical software packages and how to access statistical data on the World Wide Web.
5. To learn how to make graphs of statistical data.
6. To develop skills in the logical and empirical analysis of social problems.
7. To learn how computerized statistics data ("CompStat") can be used in lowering crime rates and managing other social problems
goertzel@camden.rutgers.edu.
Teaching Assistant: Ekaterina Shohat Email: kaynarov@camden.rutgers.edu
This is a "hybrid internet" class. We will meet on campus, in Penn 401 on top of the library (unless the registrar changes the room), on January 19, March 1 and April 26. Other classes will be in our Blackboard Collaborate virtual classroom. All classes will meet from 7:30 to 8:50 on Thursdays. The final examination will also be given on campus. All other classes will be held online in a virtual classroom.
The link to the Virtual Classroom is here. Weekly quizzes and homework assignments will be online in SAKAI.
| Our class discussions will take place in the
Blackboard Collaboratevirtual classroom. You should log
onto this classroom a few minutes before the session is
scheduled to begin. You should have
headphones so you can speak as well as listen (otherwise
we get feedback). It is best if you also have a
video camera so we can see you as well. However,
only a few students can be on audio or video at a time,
so you need to raise your virtual hand and I will call
on you. The virtual classroom is a Java application. If you do not have Java on your computer, Blackboard Collaboratewill prompt you to install it. It is best to try this out for the first time a few hours before class. For illustrated instructions on how to access the virtual classroom, click here. The link to the virtual classroom will be posted later. |
Attendance at the online class sessions on Thursday evenings is required and Blackboard collaborate will automatically take attendance for all virtual sessions. You should be prepared to be called on to participate in discussions if you do not volunteer by raising your (virtual) hand. All sessions will be recorded, and you may make-up missed sessions by viewing the session and posting a 250 word reaction paper to the dropbox on SAKAI. The reaction paper must refer specifically to things discussed in class, not just to things in the readings or posted PowerPoints. To submit a reaction paper: 1) write it in a word processor, 2) copy it, 3) paste it into the box on the "reaction paper" link in SAKAI. All reaction papers must be submitted before the next class is scheduled to begin. If you wait until after that, the assignment box will be closed.
All assignments for this course will be listed in the SAKAI course management system. You should click on the Assignments and Resources link along the left of our SAKAI course page (when it is opened), then click on the folder for each week. A new page of reading assignments, sometimes including powerpoint presentations and videos, will be posted on Friday of each week. Preliminary versions may be posted earlier for your convenience, but may be updated as late as Friday to allow for including things that come up in class on Tuesday night. Some reading materials will be posted on the Internet and will be linked from the weekly assignment page. Others will be posted in the weekly SAKAI resources folder. Writing assignments will also be announced on the weekly assignment page.
To find the quizzes and assignments, log onto SAKAI, look for the tab for our course, and click on "Assignments & Materials." If you have taken many SAKAI courses before, you may have to rearrange your tabs to see our course. Click on the My Workspace tab and on Membership to see all your courses. Click on Preferences and Customize Tabs to set SAKAI so that your current courses appear at the top of the page.
There will be a weekly research or statistics assignment and two versions of each weekly quiz. The "early bird" version of the quiz will close promptly at 11 p.m. on Tuesday of each week. The "last chance" version will close promptly at 5 p.m. on Thursday. The weekly assignment will close at 11 p.m. on Wednesday each week (unless announced otherwise on the weekly assignment page.) The two versions of the quizzes will be similar, but the items will not all be the same. The highest of your two quiz scores will count. If you miss the "early bird" quiz, your "last chance" score will count. If you have a computer crash or other problem, you should email me immediately: tedgoertzel@gmail.com. There will be no make-ups for technical reasons unless you email me within one hour of the official closing time of the quiz. Grading will be based on attendance and participation, weekly quizzes and assignments, and midterm and final exams.
This is an introductory course in the methods and techniques of social research as used in criminal justice, sociology and related fields. This course is a prerequisite for Ethics and Policy in Criminal Justice and Theories of Crime and Delinquency.
It is helpful if students have had at least an introductory course in sociology or criminal justice before taking this course. Prior work in statistics is not required. Topics include research design, conceptualization and measurement, sampling, experiments, survey research, evaluation research, quantifying data, scale construction, making graphs and data analysis. Particular emphasis is placed on survey research and on time series analysis of trend data.
Specific objectives of this course are:1. To learn enough about social research to be able to read original research reports published in social science journals.
2. To learn how to design questionnaires, collect survey data, and analyze the data.
3. To learn how to analyze data from published statistical sources such as The Statistical Abstract of the United States.
4. To learn how to use statistical software packages and how to access statistical data on the World Wide Web.
5. To learn how to make graphs of statistical data.
6. To develop skills in the logical and empirical analysis of social problems.
7. To learn how computerized statistics data ("CompStat") can be used in lowering crime rates and managing other social problems
