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CHAPTER 5: CLARIFYING THE RESEARCH QUESTIO THROUGH SECONDARY DATA AND…
CHAPTER 5: CLARIFYING THE RESEARCH QUESTIO THROUGH SECONDARY DATA AND EXPLORATION
a research strategy for exploration
exploratory research
expand the management dilemma
refine the research question
formulate investigative questions
indentify sources, actual questions
levels of information
secondary sources:interpretations or primary data: ex: textbooks, handbooks, magazine and newpaper article
tertiary sources: interpretations of a secondary source but generally are represented by indexes, bibliographies, and other finding aids
primary sources: original works of research or raw data without interpretation or pronouncements
exploration
should not be slightly
improve the research design
develop concepts more clearly
develop operational definitions
save time and money
establish priorities
types of information sources
dictionaries
indexes
biblographies
directories
encyclopedias
handbooks
evaluating information sources
purpose, authority, scope, audience, format
The question hierarchy: How about ambiguos questions become actionable research?
research question
define research question
several research questions maybe formulated
define management question
word the dilemma or the correction of the symtom in question form
discover management dilemma
identified systoms rather than problems
investigate question
list of investigative questions included
in the bankchoice question has several subquestions
represent the information that the decision maker needs to know
management research question hierarchy
management question
measurement question
investigate question
research questions
management dilemma
management dicision
measurement question
function: become questions on a survey or elements on an observation checklist
types:predesigned, pretested questions, custom-design questions
definition: the actual questions that researchers use to collect data in a study
Mining internal sources
evolution of data mining
pattern discovery
predicting trends and behaviour
data mining process
five- steps
modify: based on the discoveries
model: once the data are prepared
explore: data viualization
assess: applying a portion a data stage
sample: yes/no sampling