Download Key Terms CODING: The act of reducing large amounts of raw data

Key Terms
CODING: The act of reducing large amounts of raw data into small, manageable piles (p.471)
OPEN CODING: A first coding of qualitative data in which a researcher examines the
data to condense them into preliminary analytic categories or codes. (p.472)
AXIAL CODING: A second stage of coding of qualitative data in which a researcher
organizes the codes, links them, and discovers key analytic categories. (p.472)
SELECTIVE CODING: A last stage in coding qualitative data in which a researcher
examines previous codes to identify and select data that will support the conceptual
coding categories that were developed. (p.474)
OUTCROPPING: An aspect of qualitative data analysis in which a researcher recognizes
some event or feature as representing deeper structural relations. (p.477)
IDEAL TYPES: Models or mental abstraction of social relation or processes. They are
pure standards against which the data or “reality” can be compared. (p. 477)
ILLUSTRATIVE METHOD: A method of qualitative data analysis in which a
researcher takes the theoretical concepts and treats them as empty boxes to be filled with
specific empirical examples and descriptions. (p.479)
EMPTY BOXES: The conceptual categories in an explanation used as part of the
illustrative method. (p. 479)
METHOD OF AGREEMENT: A method of qualitative data analysis in which a
researcher compares characteristic that are similar across cases that share a significant
outcome. (p.480)
ANALYTIC COMPARISON: Qualitative data analysis in which a researcher uses the
method of agreement and the method of difference to discover causal factors that affect
an outcome among a set of cases. (p. 479)
METHOD OF DIFFERENCE: A method of qualitative data analysis in which a researcher
compares characteristics among cases where some cases share a significant outcome but others
do not, and the researcher focuses on the differences among cases. (p. 480)
NARRATIVE: Refers to type of qualitative data, a form of inquiry and data gathering, a
way to discuss and present data, a set of qualitative data analysis techniques, and a kind
of theoretical explanation. (p.482)
NARRATIVE ANALYSIS: Both a type of historical writing that tells a story, and a type
of qualitative data analysis that presents a chronologically linked chain of events in which
individual or collective social actors have an important role. (p. 482)
PATH DEPENDENCY: An analytic idea used in narrative analysis that explains a
process or chain of events as having a beginning that triggers a structured sequence, such
that the chain of events follows an identifiable trajectory over time. (p.483)
PERIODIZATION: The technique generally used by historians that breaks up a
historical time period and smaller subunits of time based around important events or
ideas. (p. 484)
HISTORICAL CONTINGENCY: An analytic idea in narrative analysis that explains a
process, event, or situation by referring to the specific combination of factors that came
together in a particular time and place. (p.484)
NEGATIVE EVIDENCE: The idea that what is missing or not said can often be quite
valuable when analyzing qualitative data. (p. 486)
MULTIPLE SORTING: An analytical technique that a researcher uses to discover how
people categorize their experiences or classify items into systems of similar or different.
(p.488)
NETWORK ANALYSIS: An analytical technique that involves mapping the
connections among a set of people, organizations, events, or places. It is used for
displaying sets or relations. (p. 488)
FLOWCHART: An analytical technique that displays the order of decisions in order to
understand how one event or decision is related to others. (p. 488)
TIME SEQUENCE ANALYSIS: An analytical technique that displays the time-order or
events in order to understand the progression of a phenomenon. (p.488)
EVENT-STRUCTURE ANALYSIS: Qualitative data analysis , often conducted with
computer software, that forces a researcher to specify the links among a sequence of
many events. It clarifies causal relationships by asking whether one event logically had to
follow another, or it just happened to follow. (p. 489)