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Clarifying the Research Question through Secondary Data and Exploration -…
Clarifying the Research Question through Secondary Data and Exploration
A Search Strategy for Exploration
Types of Information Sources
Dictionaries: verify spelling or grammar usage or to define terms
Encyclopedias: find background or historical information on a topic or to find names or terms that can enhance search results in other sources
Indexes and Bibliographies: mainstay of any library
Handbooks: collection of facts unique to a topic
Directories: used for finding names and addresses as well as other data
Evaluating Information Sources
5 factors
Authority: the level of the data and the credentials of the source
author(s).
Audience: how the information is presented and the degree of ease of locating specific information within the source.
Scope: the level of the data and the credentials of the source
author
Format:how the information is presented and the degree of ease of locating specific information within the source.
Purpose: explicit or hidden agenda
Levels of Information
Secondary sources
interpretations of primary data.
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 pro- nouncements that represent an official opinion or position
Exploration
particularly useful when researchers lack a clear idea of the problems they will meet during the study
The exploratory phase search strategy usually comprises
expert interview
individual depth interviews
Discovery and analysis of secondary sources.
Group discussions with individuals involved with the problem or its possible solutions
exploratory research
Identify information that should be gathered
Identify sources for and actual questions
Gather background information on your topic
Identify sources for and actual sample frames that might be used in sample design.
Expand your understanding of the management dilemma
Mining Internal Sources
Evolution of Data Mining
Pattern Discovery
Data-mining tools can be programmed to sweep regularly through databases and identify previously hidden patterns
Predicting Trends and Behaviors
Using data from past promotional mailings to identify the targets most likely to maximize return on investment can make future mailings more effective.
Data-Mining Process
Data mining
The term data mining describes the process of discovering knowledge from databases stored in data marts or data warehouses.
data warehouse is an electronic repository for databases that organizes large volumes of data into categories to facilitate retrieval, interpretation, and sorting by end users
data marts: compile locally required information
The Question Hierarchy: How Ambiguous Questions Become Actionable Research
Investigative Questions
represent the information that the decision maker needs to know
developing your list of investigative questions,
Performance considerations
Attitudinal issues
Behavioral issues
The Management Question
restatement of the management dilemma in question form
management–Research Question Hierarchy
Formulating the Research Question
The Research Question
The Research Question
Fine-Tuning the Research Question
best states the objective of the business research study
Measurement Questions
he actual questions that researchers use to collect data in a study
Two types of measurement questions are common in business research:
Predesigned, pretested questions.
Custom-designed questions.
