Discourse Analysis & Coding - University of Colorado Boulder

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Geo-Methods

Geography 5161, Spring 2010

Amanda Kass

WHAT IS CODING?

“Coding is analysis” (Miles & Huberman 1994, 56).

Coding, “involves taking text data or pictures gathered during data collection, segmenting sentences (or paragraphs) or images into categories, and labeling those categories with a term…” (Creswell 2009, 186).

“It is important to note the different epistemology here from many quantitative projects. What is generally of interest is not so much the codes as the text they denote, not how often they occur but what is in them” (Crang 1997, 188).

WHY CODE?

Minimize data overload

Some types of computer software can aid in content analysis

Useful in identifying themes and patterns

Can be used with many other methods ethnography, interviews, surveys, discourse analysis, focus groups

HOW AND WHEN TO

CODE?

When do you develop your codes?

A priori, predefined, predetermined

Inductive, post-defined

Combination, accounting-scheme guide

When do you code?

Hand-coding versus Computer software

EXAMPLE & TYPES OF

CODES

Sample field note: “I asked him what the need for the new program was, and he responded that the students coming into 9 th grade were two years below grade level and that the old curriculum was ineffective. Through testing…it was determined that students were growing academically only 5 or 6 months during the 10-month school year.”

Descriptive Code: MOT = Motivation

Interpretive Code: PUB-MOT = Public Motivation

(Miles & Huberman 1994, 57)

EXAMPLE & TYPES OF

CODES

Pattern Codes: Inferential and Explanatory. Used when a

“segment of field notes illustrates an emergent leitmotiv or pattern that you have discerned in local events and relationships.”

Analogous “to the cluster-analytic and factor-analytic devices used in statistical analysis.”

Sample Codes:

LM = Leitmotiv

PATT = Pattern

TH = Theme

CL = Casual Link

(Miles & Huberman 1994, 57 & 69)

QUALITATIVE COMPUTER

SOFTWARE

MAXqda

– “The Art of Text Analysis”

Atlas.ti

“Tame your Data. Go wild with your research”

QSR NVivo

– “Organize. Analyze. Visualize. Report.”

HyperRESEARCH

– “Simply Powerful Tools for

Qualitative Analysis”

Kwalitan

DOWNSIDES & WEAKNESSES

“Laborious and time-consuming” (Creswell 2009, 188).

“Coding is hard, obsessive work” (Miles & Huberman 1994,

65).

For manual (or hand) coding you may have to revise codes or codebook numerous times.

Computer software can be expensive and time-consuming to learn.

THEORETICAL DEBATES

Post-structuralism:

 Coding is concerned with interpretation and representation of data. Post-structuralism is concerned with, “struggles over representation”

(Johnston and Sidaway 2004, 281).

 Representations (be it a newspaper, photograph, or diary) are never neutral nor is the researcher neutral in analyzing the meaning of a text; representations are always tied up with power.

THEORETICAL DEBATES

Discourse: “A specific series of representations and practices through which meanings are produced, identities constituted, social relations established, and political and ethical outcomes made more possible”

(Gregory et al. 2009, 166).

Discourse Analysis

Formal Method vs. Critical Interpretative Approach

Primary concern: formal components & properties of linguistic representations vs. social practices made possible by language.

(Gregory et al. 2009, 167).

THEORETICAL DEBATES

Feminist Geography

 “Great care is needed when developing a coding scheme because rigid categorization is a major weakness…”

(Kwan 2002, 164).

 “Social differentiation should be defined by using many dimensions…”

(Kwan 2002, 164).

REFERENCE LIST

Baker, Paul. 2006. Using corpora in discourse analysis. Continuum Discourse Series, ed.

Ken Hyland. New York: Continuum.

Crang, Mike. 1997. Analyzing qualitative materials. In Methods in human geography: A

guide for students doing a research project, eds. Robin Flowerdew and David

Martin, 183-196. Essex, England: Longman.

Creswell, John W. 2009. Research design: Qualitative, quantitative, and mixed methods

approaches. 3 rd ed. Thousand Oaks, CA: SAGE Publications.

Gregory, Derek; Johnston, Ron; Pratt, Geraldine; Watts, Michael J. and Sarah Whatmore, eds. 2009. The dictionary of human geography. 5 th ed. Malden, MA: Wiley-

Blackwell.

Kwan, Mei-Po. 2002. Quantitative methods and feminist geographic research. In Feminist

geography in practice: Research and methods, ed. Pamela Moss, 160-173.

Malden, MA: Blackwell Publishers.

Johnston, R. J. and J. D. Sidaway. 2004. Geography & Geographers: Anglo-American

human geography since 1945. 6 th ed. New York: Oxford University Press.

Miles, Matthew B. and A. Michael Huberman. 1994. An expanded sourcebook: Qualitative

data analysis. 2 nd ed. Thousand Oaks, CA: SAGE Publications.

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