Qualitative data analysis methods coding

QUALITATIVE DATA ANALYSIS METHODS CODING HOW TO

public market institutions beliefs about food vs cash Theoretical categories? Marketing cost Maize vs cotton price expectations risk management ДЎ3 Data Display 12 Second-level of qualitative data analysis Can be narrative or diagrammatic Goal: Provide new ways of arranging and thinking about textually embedded data Extrapolate from the data enough to begin to discern systematic patterns and interrelationshipsДЎ4 Data Display Strategies 13 Display strategy depends on your questions and your preference. What are some potential organizational categories? Markets, prices, labor, profitability, farmer charaterisitics What could be some substantive categories under these? Markets: beliefs about private vs. Substantive and theoretical categories Often sub-categories of organizational categories but often not generated a priori They implicitly make a claim about the topic being studied In other words, they could be wrong rather than just conceptual boxes for holding the data What do I mean by this?ДЎ0 Data Reduction: Category Typology 9 Substantive Categories Emerge out of respondents concepts and beliefs (emic categories) Inductively developed through open coding of data (Corbin and Strauss 2007) Used to develop a theory of what is going on but don t depend on existing theory Contrast with theoretical categoriesДЎ1 Data Reduction: Category Typology 10 Theoretical Categories Data coded according to more abstract or general framework Often derived from prior theory Usually represent the researchers concepts rather than the participantsДЎ2 11 Data Reduction: Category Typology example Qualitative study of the effects of FRA on cotton production.

Organizational codes/categories Broad subjects or issues Often established prior to data collection They function primarily as bins for sorting data for further analysis may serve as chapter or section headings, but won t help you to make sense of what is going on What are some examples of potential organizational categories for your research?Д© Data Reduction: Category Typology 8 2. Connecting statements to context)ДЁ Data Reduction: Category Typology 7 1. Verification/Drawing ConclusionsДҐ Data Reduction 4 'Data reduction refers to the process of selecting, focusing, simplifying, abstracting, and transforming the data that appear in written up field notes or transcriptions.' (Miles and Huberman 1994) How do we transform pages of textual data into something more managable?Д¦ Data Reduction 5 Coding Goal of coding in qual methods is to fracture the data and rearrange it into categories to facilitate analysis How do we develop our coding strategy? Derived from existing theory (deductive categories) Generated through research (inductive categories) Drawn from categories used by subjects (emic categories)Д§ 6 Data Reduction Coding allows the researcher to: Develop a general sense of what is going on Generate themes and theoretical concepts Organize and retrieve data However By fracturing text into categories you may neglect important contextual relationships among data What are ways of managing this? Connecting strategies (case studies, profiles.

QUALITATIVE DATA ANALYSIS METHODS CODING HOW TO

Immediately analyzing data allows for progressive focusing of subsequent interviews and observations Helps research to decide how to test emerging conclusions.Д¤ Components of Analysis 3 1.

Sitko June 21 st 2013 INDABA AGRICULTURAL POLICY RESEARCH INSTITUTEДў 1 Interactive Model of Research Design Goals Conceptual Framework Research Questions Methods ValidityДЈ Data Analysis 2 What type of data are usually generated through qualitative methods? Should data analysis and data collection be treated as discrete activities? Qualitative methods are inherently iterative.

1 QUALITATIVE METHODS: DATA ANALYSIS AND VALIDATION Nicholas J.

Qualitative data analysis methods coding