| oliver at ssc dot wisc dot edu |
Pamela Oliver
Sociology Dept.
1180 Observatory Dr. Madison, Wisconsin
53706-1393
608-262-6829
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Professor
Pamela Oliver
Department
of Sociology
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Sociology 357/8
FIELD OBSERVATION EXERCISE
DUE DATE:
For this exercise, you plan and carry out a structured field observation.
You will select a hypothesis, operationalize the independent and dependent
variables, and do structured observation to test your hypothesis. Preceding
this formal observation, you will do some unstructured observation to
train yourself to see concrete behaviors without filtering them through
any interpretive filter.
Reading:
For assignment, Singleton, Chapter 11; also review Chapters 4 and 5,
paying special attention this time to the discussions of reliability (pp.
114-122). For writing a research report, Singleton Chapter 17.
You may use any appropriate hypothesis for this research, but if you
cannot think of anything you like better, I suggest that you focus your
research on testing the hypothesis that women pause and scan or stop and
groom themselves just before entering a room more often than men do. As
you will read in your text, Lyn Lofland has found a "grooming"
pattern in her research, so we can be pretty sure there will be something
to see, but this particular hypothesis has not been tested in any research
I know of. If a number of people test the same general hypothesis in different
settings with different specific operationalizations, we should find it
interesting to compare our results. (NOTE: If you have a different
idea, discuss it in class. You always get better information if several
teams work on the same general idea than if each team tries to be unique.
This is because replication is essential before any finding can be treated
as trustworthy.)
I suggest that you observe someplace where people are entering a room,
building, or other well-defined space. Your dependent variable will be
some dimension along which their behavior varies as they enter, "grooming,"
if you go with my example. (Another commonly observed behavior is pausing
and scanning a room before entry.) You may use either of these ideas,
or some other idea suggested by your own observations. I suggest focusing
on entering because it eliminates a lot of the sampling problems in deciding
who to focus on when. Any other locale would work if people flow through
fast enough to give you enough subjects but slow enough to permit accurate
observation. (An average of one a minute is a good rate. The acceptable
range is as fast as three a minute or as slow as one every three minutes,
on average.) People buying things at some kind of sales counter might
also give a good flow of people, as might people going through some sort
of exhibit. I suggest "grooming" or "pausing and scanning"
because they have enough variability that you should get interesting data,
and they require some effort to operationalize properly. Any other dependent
variable that your preliminary observation tells you varies, and that
is of comparable (or greater) difficulty to operationalize is also acceptable.
The central point of this assignment is to show that you can operationalize
an observable variable, so do not attempt to avoid the problem by picking
a variable that is so obvious you cannot imagine there being any problem
in operationalizing it.
About Teams.
You are strongly encouraged but not required to do this exercise with
another class member. Teams have two options: (1) write a joint report,
or (2) each person write the whole report individually. Option 1 is appropriate
when team members are truly working and learning together. It is unfair
and unethical for one student to do most of the studying and writing while
another "free rides" under the guise of option 1. Those doing
the work must refuse to "give" partners papers they did not
help write. If you choose option 2, you work together until the data are
collected and, if you wish, put into a statistical table, but you do not
collaborate in writing your separate reports. Option 2 is a good choice
if you have busy schedules which make it difficult to meet with others,
but want the advantage of having a partner in thinking up the original
idea and collecting data. If you find yourself in an ambiguous position
about these options because of unforeseen problems, speak to me and I
will help you to determine the fairest thing to do.
Steps in Execution
Preliminary Unstructured Observation
- With your partner, select a place and time to observe for a minimum
of 30 minutes. Select the same place (or type of place) and same general
time of day as you plan to use for your structured observation. If as
you observe it becomes clear that people move through this place too
quickly or too slowly, look around for another place.
- Your task is to force yourself to see the concrete details of people's
actual behavior, not your interpretations of them. Watch what people
actually do; suppress the normal instinct to evaluate people or to presume
motives. Look at behavioral details like patterns of movement through
space, hand gestures, posture, positions of legs or arms, ways of eating
or drinking, eye or head movements, amount or volume of talking. As
you observe, take brief "jotted notes" of specific behaviors
worth observing.
It is OK to be thinking about the kind of behavior you might want
to do your structured observation on, but do NOT focus narrowly
on ONLY that kind of behavior. If you are thinking about grooming
or pausing and scanning, train yourself to look for the variations and
differences among people in these behaviors. Also keep your eyes and
mind open to other kinds of behaviors that might be more interesting
to you to study.
- When the time is up, stop and write down what you can recall of the
behaviors you saw. Your jotted notes may remind you of things, and there
may be others that did not make it into your notes. Make a special note
of details you saw that seem worth remembering for your structured research.
Then write a short paragraph explaining when and where you observed
and attach it to these observation notes. List 1-3 possible hypotheses
that arise from this observation. ATTACH THIS AS AN APPENDIX TO YOUR
OBSERVATION ASSIGNMENT. It is perfectly OK if this is in your normal
illegible handwriting with spelling and grammar errors. I just want
to know that you did this step. It is NOT worth recopying or
typing it.
- If you have a partner at this stage, compare notes on what you saw
and talk over your ideas for hypotheses for your structured observation.
Some Variations
The above assignment is all that is required, but there is a great deal
more that can be learned from unstructured observation if you have the
time. Try observing people in different settings to see if you can notice
how their behavior changes with the setting. Try observing people on TV
or in a movie and then observing a similar setting in real life. Try sitting
for a very long time or repeatedly in the same setting or type of setting
to see if you begin to notice things that were initially invisible to
you. Try behaving in some slightly "odd" way and notice the
reactions. The hardest thing to do is to train yourself to see people's
actual behavior, and not your highly abstracted interpretations of it.
"Friendly smile," "in a hurry," "flirting,"
and "nervous," are interpretations, not actions.
Structured Observation
Plan for Structured Observation
- Pick your dependent variable, the behavior you will observe. You
need to operationalize this variable. This means choosing a level of
measurement, deciding on the categories, and then carefully spelling
out what observable cues you will use for categorizing people's behavior.
Basically you will either count how many times (or how long) a person
does something, or you will categorize their behavior. If you categorize,
your operationalization is focused on defining the differences among
the categories. If you count, your operationalization is focused on
defining exactly when the behavior you are counting or timing begins
and ends. We will discuss in class.
You need to understand what operationalization of a variable means
so that you can carefully define the observational rules for distinguishing
the exhaustive and mutually exclusive categories of this dependent variable.
This operationalization should be so complete that another person could
use only your written instructions and record the variable the same
way you would. You will operationalize only one dependent variable.
Remember to plan to have an "other" category in case something
unexpected comes up in the field.
- Pick your independent variable and explain its operationalization.
It will usually be gender (male, female) or some other obvious physical
characteristic. Your operationalization will usually be your subjective
judgment based on common cultural standards, but you should keep in
mind that what you can see is not always the truth. (You may use a more
"difficult" independent variable if you wish; just be sure
to explain how you operationalized it.)
- Create a recording sheet for your structured observations. PLEASE
NOTE: This format is almost always the best one; students often
invent their own formats which are more error-prone and unreliable than
this one. USE THIS FORMAT UNLESS I TELL YOU THAT ANOTHER IDEA IS
BETTER FOR YOUR PARTICULAR PROJECT. Let each line be a different
subject (unit of analysis). Select consistent shorthand symbols for
each category of the independent and dependent variables. Suppose you
agreed to use M and F for male and female, and to use L for licked ice
cream cone, B for bit it, and O for anything else. Then your recording
sheet might look like this:
| IndVar Sex |
Dep Var Eating |
Identifier |
Comment |
| M |
B |
red shirt |
|
| F |
L |
blond, pink dress |
|
| M |
O |
red hair green shirt |
some of each |
| M |
L |
asian, yellow shirt |
|
| F |
B |
AfAm, white jacket used lips |
used lips |
Regardless of how you measure your dependent variable, you will need
"identifiers" for the individuals observed. These identifiers
are so you and your partner(s) can go back over your individual data
later to check your reliability. Generally, use hair, skin, and shirt/blouse
colors as identifiers.
Before the observation, agree upon the symbols and set up the columns,
being sure to have a few extra made up in case you get more subjects
than you expect. Comment whenever it is difficult to decide how to categorize
someone on the independent or dependent variable, or to explain "other"
codes.
- Plan your sampling procedure. That is, explicitly decide who will
count as a subject. In this study, you are "sampling" one
period of time, and you should try to study everyone who comes into
the setting during that time who is an appropriate subject. However,
you should define who "counts" as a subject, both in terms
of being in a position for your dependent variable to be relevant, and
in terms of their personal characteristics. For example, will you consider
children, or only adults? Will people have to enter a certain space
or spend a certain amount of time in the setting to count as subjects?
Will you exclude certain people (e.g. those wearing employee uniforms)?
Will you include only those people who enter a certain physical area,
or spend a minimum amount of time in the area? What will you do if too
many people come in at once for you to observe? (Don't use a setting
where this is the normal problem, but even when the flow is usually
OK, you might have occasional problems.) NOTE: You do not have
to worry about random or representative sampling at this point.
- Consider the problem of subjectivity in your sampling criteria and
the need to operationalize the variables which define your sample. For
example, if you are studying only "adults," what are the criteria
for "adult"? Or only people who are "alone," how
do you tell if they are alone? Spell that out.
Carry Out Your Research
Using the form you have developed, you and your partner observe for
a minimum of 30 minutes until you obtain a minimum of 30 observations.
If it turns out that the pace is so slow that you cannot observe at least
30 people in the time you have available, move to a different setting,
or come back at a different time. If it turns out that people are coming
in so fast that you cannot possibly observe them, stop and move to a better
location or come back at a slower time.
If you realize part way through that there is a problem with your operationalization
or sampling, use the comments column to note the details for difficult
cases and keep going. If you add a decision rule part way through, record
it on your sheet and keep observing. Quit observing early only if the
problems are so bad that you just cannot use your scheme at all, in which
case you need to fix the problem and start over.
Calculate Your Reliability
Even when two people observe the same thing and follow the same rules,
there will usually be some disagreement in the observation. This is more
likely when you have done a "hard" variable to observe, rather
than a trivially easy one. Inter-coder reliability is an excellent way
to assess the accuracy with which it is possible to record data. This
is somewhat tedious to do, but has the potential of being a valuable learning
experience.
- Compare your sheets and match up people, using the identifiers and
the person's sex (which is almost always accurately recorded unless
it was ambiguous). Mark the people who do not match up people on the
other sheet. For each person who does match up, check whether the independent
and dependent variables are the same; mark everyone for whom you disagree
about a variable. (Note: if you are counting or timing something, give
yourselves a reasonable margin of error such as being within 1 or 2
seconds still counts as "the same," so you do not have to
include too many errors. See me if you need help with this.)
- Count up the following numbers:
- A = number you agree on, same person, same dependent variable code.
- C = coding difference: number of times you saw same person but coded
dependent variable differently.
- S1 = sample difference 1: number of times partner 1 saw someone
partner 2 did not see.
- S2 = sample difference 2: number of times partner 2 saw someone
partner 1 did not see.
- N = total number of distinct people seen by either partner 1 or
partner 2 (or both).
- Reliability computations:
- SE = (S1 + S2)/N = sample selection error (proportion of total cases
that one person saw but not the other).
- CE = C/(A+C) = coding error (proportion you both saw that you disagree
about in the dependent variable).
NOTE: If you have a three-person team, there are three possible
pairs for which you can do this analysis. Either do the above for all
three possible pairs (if it does not make you feel too oppressed) or do
it for two of the three pairs, the two partners that seem most alike and
the two partners that seem most different. SEE ME if you do not
understand this or want to negotiate.
WRITTEN REPORT
PLEASE FOLLOW THIS FORMAT EXACTLY. This is based on Chapter 17
of the Singleton book, but includes some specifics for this class.
About Truthfulness. Science depends on researchers telling the truth
about what really happened in their research, not what they wish had happened.
At the same time, students worry that they will be graded down if they
tell the truth. So, for each question in your report, I insist that you
tell the truth about what really happened in the research, but then follow
it with an opportunity to explain what you now think you should have done.
If there was a mistake and your self-criticism gives a correct statement
about what you should have done, you will receive full credit as if you
had done things right in the first place.
- Title page. Title of report, author(s), date. Put partner's name
in parentheses at the bottom of the page if you worked with someone
but wrote reports separately. (Give your project a real title as if
you were taking it seriously, not just "assignment 1" or some
such.)
- Abstract. Write one paragraph which summarizes your research methods,
hypotheses, and findings. You may include this on the title page if
you wish.
- Body of paper.
- Introduction. Write a paragraph stating your topic and why it is
worth researching. Summarize observations relevant to the topic that
came up in your unstructured research. Explicitly state your bivariate
hypothesis and why you believe it is true. (If you are just guessing
about the hypothesis, or team members disagree, just write about the
reasoning in your guess, or what the disagreement is.) (Note: we will
NOT normally do literature reviews in our course assignments, but
this is where it would go, and if something you read went into your
thinking on this project, this is the appropriate place to mention
it.)
- Methods of research. (Note: We will write this section in a more
closely structured format than the usual research article. This is
so I can more easily grade your paper. Number each section of this
discussion as it is numbered here, e.g. 2b for operationalization
of dependent variable; this is essential for grading, as part of the
grade is putting the correct information under the correct heading!)
- Sampling.
- Describe the setting of your research, the time of day you
conducted it, and any details relevant to understanding your data.
- Describe your sampling procedures, including any restrictions
placed on eligible subjects, or other procedures for deciding
whom to study within the setting.
- Discuss the problem of possible subjectivity in the sampling
criteria; how did you operationalize the sample selection variables?
- Evaluation: why you think these procedures were good, or what
you now believe should have been done differently.
- Dependent variable.
- Why you chose your particular operationalization
- Complete details on your operationalization as you planned
it. (Note: This is never correctly a one-sentence answer.
I'm looking for details of wording that tell me you know what
is important about operationalization, as well as for indications
that you did things properly. Many people do it right but cannot
explain it right.)
- How the operationalization actually worked out. d) Evaluation:
why you think these procedures were good, or what you now believe
should have been done differently.
- Independent variable.
- Why you chose your particular operationalization.
- Complete details on your operationalization as you planned
it. (Note: This answer is typically short, but it must be worded
to show that you know what an operationalization is.)
- How the operationalization actually worked out. d) Evaluation:
why you think these procedures were good, or what you now believe
should have been done differently.
- Ethics. Discuss your evaluation of the ethics of doing this research.
Do you feel you invaded anyone's privacy? How did you feel about
doing covert observation?
- Results. (Attach the original messy data collection sheet to the
back of your paper as an appendix. You will be graded down if this
is missing.)
- Sampling Reliability Analysis.
- Present the results of your reliability calculations. (Include
the computations in an appendix so that I can check your work.)
- Discuss these results. Did you have more than trivial disagreements
(more than 1 case) over sampling? Can you figure out what caused
the problem(s)? Discuss in some detail.
- Evaluation: why you conclude your procedure were good, or what
you now believe you should have done differently.
- Measurement Reliability Analysis.
- Present the results of your reliability calculations. (Include
the computations in an appendix so that I can check your work.)
- Discuss these results. Did you have more than trivial disagreements
(more than 1 case) over coding? Can you figure out what caused
the problem(s)? Discuss in some detail.
- Evaluation: why you conclude your procedure were good, or what
you now believe you should have done differently.
- Explain how you chose/constructed the data you analyzed for your
hypothesis test.
- Test of hypothesis. a) Prepare a bivariate statistical table
to show the relationship between your independent variable and dependent
variable. Do either a contingency table or a difference of means
table. (Refer to "bivariate association" in the statistics
part of this course. Or ask for help, if necessary.)
- Write a paragraph discussing your statistical results saying what
they show and whether your hypothesis is confirmed or disconfirmed.
- Discuss anything else worth mentioning that you learned in your
research, including unexpected events or surprising findings.
- Conclusions and interpretations. This is where you talk about the
larger issues your research raises, whether you feel that your findings
are likely to be more generally true, and what research, if any, you
would like to see pursued by yourself or others as a consequence of
your research. For this class, it is also a chance to talk informally
about what you liked or didn't like about the assignment or the way
you did your research.
- Appendices
- Your unstructured observation notes and hypotheses. (The original
messy version.)
- Your original structured observation data collection sheet, the
one you actually used in the field to get the data. DO NOT
recopy or retype this sheet. I want to see the real data.
- The work showing the computations for your reliability analysis
and test of hypothesis. This can be an unrecopied "rough draft"
(I certainly would NOT type it!!), but I DO need to
be able to follow your computations and check them against your data
sheet to be sure you did not make an error.
- Group process report. Pick the category that applies to you and answer
the relevant questions. PARTNERS MUST HAND THESE IN SEPARATELY SO
THEY CANNOT POSSIBLY HAVE ACCESS TO EACH OTHER'S ANSWERS. I WILL NORMALLY
NOT RETURN THESE STATEMENTS, BUT WILL KEEP THEM FOR MY RECORDS.
- No partner.
- How did you feel about working alone? Would you do it again,
or would you prefer a group?
- How much effort did you have to put into this project
- How well prepared did you feel in terms of course materials and
understanding what to do.
- Tell me if there is anything I should know about you or your
life that you want me to know, especially if it might affect your
grade or my ability to be fair in grading your work.
- Had partner, wrote separate papers
- Compare you and your partner in the effort you put into the project.
- Compare you and your partner in the extent to which you studied
course materials and knew what to do for the assignment.
- Who did your statistical analysis?
- Did you start trying to work together before deciding to write
separate papers? How far did you get?
- Were there some things you found necessary to discuss in preparation
for writing your papers? What?
- How did the group process work out? Was it a positive or negative
experience? Would you do things differently in the future?
- Tell me anything else I should know that might affect your grade
or your partner's, or that I should know to be fair in grading your
work, or that you would like me to know even if it is not relevant
to your grade.
- Wrote joint paper.
- Do you stand by the paper as written, or is there something you
feel should have been said differently? Any corrections you offer
at this point will be factored into your grade. This answer may
be as long or short as you feel is appropriate.
- Compare you and your partner in the effort you put into the project.
- Compare you and your partner in the extent to which you studied
course materials and knew what to do for the assignment.
- Who did your statistical analysis?
- How did you go about getting the writing done?
- How did the group process work out? Was it a positive or negative
experience? Would you do things differently in the future?
- Tell me anything else I should know that might affect your grade
or your partner's, or that I should know to be fair in grading your
work, or that you would like me to know even if it is not relevant
to your grade.
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Questions or Comments? Email Oliver -at- ssc -dot- wisc -dot- edu.
Last updated
December 25, 2004
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