Instructor:
Ted
Goertzel email: goertzel@camden.rutgers.edu.
Teaching Assistant: Ekaterina Shohat
Email: kaynarov@camden.rutgers.edu
Mays Landing Assistant: Elizabeth
Moore
Email: ebeth@rci.rutgers.edu
Link
to
recordings of classes.
Link
to
our Virtual Classroom.
This is a "hybrid internet" class. We will have
occasional
class sessions in a classroom, but most classes will be
offered online
using the SAKAI
course management system and the Blackboard
Collaborate
virtual classroom. Class will meet
online from 7:30 to
8:50 on Thursdays, beginning on September 1, 2011.
The first
class will be held physically on the Camden campus in Fine
Arts 110 and
virtually in Blackboard
Collaborate (formerly elluminate live!). The
final examination
will be given in class (or on the Atlantic Cape Community
College
campus for students there). Weekly quizzes and
homework
assignments will be online. Some classes may be held
at Atlantic
Cape Community College in Mays Landing if there is enough
enrollment
there and the students would like an on campus
class. You
can participate from your home or from a computer lab on
campus or
anyplace else where you have a computer, an internet
connection, a
microphone and headphones. It is preferable that you
also have a
video camera so we can see you as well as hear you.
These can be
purchased quite inexpensively if your computer did not come
with
them. The
link
to our Virtual Classroom is here. No special
software is
required, everything you need is downloaded from the
Blackboard
Collaborate site.
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.
To log onto the virtual classroom for this class, click
here.
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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