This review has been accessed times since January 1, 2005
Becker, Howard S. (1998). Tricks of the Trade: How to Think about
Your Research While You're Doing It. Chicago: University of
Chicago Press
Pp. xii + 232
$35.00 (Cloth) 0-226-04123-9
$14.00 (Paper) 0-226-04124-7
Reviewed by Lynn Stallings, Georgia State University and
Ansley Yeomans, Georgia State University
Howard S. Becker's Tricks of the Trade is an invitation to
sit in on a graduate seminar in methodology with an experienced
social science researcher. The tone is conversational and
thought-provoking, often humorous. Through a quirky set of
examples that includes embezzlement, theatre casting,
transvestitism, forestry, and opiate addiction, Becker describes
common methodological problems in research and some "tricks" that
might be helpful in unlocking them. Although the word "tricks" in
the title might put some readers off, the author explains that he
has found these to be useful tools in "tam[ing] theory...[by
providing] ways of thinking that help researchers faced with
concrete research problems make some progress" (p. 4). These
tricks are not shortcuts to the solution of theoretical problems;
in fact, Becker points out that they may cause more, rather than
less, work because they "suggest ways of interfering with the
comfortable thought routines academic life promotes and supports"
(p. 6).
Becker's collection of tricks is organized under four
topics: imagery (the images a researcher brings to his or her
research), sampling (the issues involved in data collection),
concepts (their creation and definition), and logic (the
processes involved in elaborating concepts and the connections
between them). In the chapter on imagery, Becker addresses the
ways a researcher's images about a study develop and the bias
caused by the researcher's preconceived images. The crux of the
imagery problem is that researchers' lives shape their images, so
they must "do something about the character of [their] ordinary
lives" (p. 15) in order to improve the quality of their imagery.
Becker calls one of his imagery tricks the "Machine Trick."
He uses a somewhat dated example from educational research to
illustrate how it works. Studies that try to explain
disappointing student achievement by focussing solely on
variables such as race, socioeconomic status, gender, or
intelligence ignore that student learning occurs in a "machine"
or system. Student achievement cannot be explained without an
understanding of the other factors in the machine, including
teaching, and the organization of the school.
Another example from the chapter on imagery is "What is a
nice girl like you doing in a place like this?" This trick points
out that each behavior or circumstance is the logical result of a
sequence of events. For example, unless the educational
researcher knows enough about the preceding events, a teacher's
highly developed procedures for managing students will be
incomprehensible or may even seem silly. The chapter on imagery
includes these and many other tricks, such as the more commonly
known one of asking "how" and not "why" when interviewing.
Sampling is an important issue for every researcher. Becker
addresses what to include in the sample, how much detail is
needed, and the importance of finding cases that do not fit into
conventional categories. Becker also debunks some of the reasons
that researchers use to make decisions about their samples. These
reasons include not studying a particular topic because
"Everybody knows that!" or "That's been done." Further, when
studying an organization, Becker reminds researchers to avoid the
assumption that people in high-status positions are more credible
than people of lower status within the organization. The final
tricks in the chapter on sampling address the problems of using
data collected by other people and the need for recognition of
bastard institutions, which are the informal "collective human
activities" that develop to achieve certain communal purposes.
One sampling trick that Becker offers is called "Why them?"
He points out that researchers very often choose to study the
best possible schools, the most effective teachers, or the
brightest students. Instead, the researcher should consider the
selection of cases from other parts of the spectrum, cases that
might challenge and elaborate our existing theories and much
more. This trick is closely related to another in this section: a
challenge not to accept the evaluation from participants in a
study that "nothing is happening," but rather to analyze what is
occurring when "nothing's happening."
In working with concepts or "generalized statements about
whole classes of phenomena" (p. 109), Becker discusses the
problems involved in defining concepts and takes the position
that the development of concepts should be based on continuing
interaction with empirical data. Becker suggests tricks to
"create more complex ideas that will help you find more problems
worth studying and more things about what you have studied worth
thinking about and incorporating into your analysis" (p. 109).
One way for a researcher to produce well-defined concepts is to
describe the findings of a study without including any
terminology specific to the actual cases studied. For instance,
Becker examined the careers of Chicago school teachers in his
dissertation. Describing this work without using the words
teacher, school, student, principal, or Chicago leads to
findings that are more generalizable and abstract.
The final chapter, "Logic," is the longest and the most
difficult because the tricks describe techniques of data
analysis. Although the tricks in previous chapters are neat
analogies or ways of thinking about research problems that
provide researchers with quick ways to challenge their own
thinking, the tricks in the chapter on logic are data analysis
techniques. Becker hints that the tricks in the last chapter do
not parallel those in previous chapters when he calls them
"families of tricks." Some of these methods may seem "pretty
abstract and frighteningly mathematical" (p. 189), however Becker
assures the reader that they are no harder than performing simple
algebra. Property space analysis [PSA], qualitative comparative
analysis [QCA], and analytic induction [AI] are the three
combinatorial "tricks" in this chapter. Each provides a logical
procedure for classifying objects, determined by the degree to
which they share relevant traits. The tricks are combinatorial
because they are ways to account for all possible combinations of
characteristics. Every combination defines a type, and the
frequency or absence of each type provides interesting data.
Although the logic chapter may be more difficult to read, the
ideas seem useful, and they serve the same purpose as those in
the previous chapters.
Each of these approaches has its own strengths: PSA is a way
to define and examine types by putting them into a table or
matrix that shows all of the logical possibilities. QCA
emphasizes "conjunctural explanation, the search for combinations
of elements that produce unique and invariant results" (p. 196).
AI allows the researcher to discover and account for examples
that do not fit the emerging theory.
As befits a professor of sociology who is also a musician,
Becker closes with a coda on the application of his tricks. He
urges constant mental practice so that the tricks become second
nature, although he does warn that practicing research techniques
in everyday life may irritate a researcher's family and friends.
He also encourages readers to develop and practice their own
"tricks of the trade."
Becker's very readable book will probably be most
interesting to someone who has some research experience and has
grappled with the methodological and theoretical problems it
addresses. For that reason, it would be less useful as an
introductory methodology textbook than it would for a beginning
researcher, but reading Tricks of the Trade will benefit
researchers of any experience level. The usefulness of a
particular trick to a given researcher will depend on the
researcher's interests and experiences, but this may well be one
of those books that yields fresh insights each time it is read.
The main strength of Tricks of the Trade is the glimpse it
provides into the thinking of an experienced and respected
researcher.
About the Reviewers
Lynn Stallings
Lynn Stallings is an assistant professor of mathematics
education at Georgia State University. Her research interests
include teacher content knowledge and how it impacts mathematics
instruction with computing technologies.
Ansley Yeomans
Ansley Yeomans is a graduate student in mathematics education
at Geogia State University. Her research interests include the
aesthetic appreciation of mathematics in high school teachers and
students.
|