Lecture 1: MR Process Flashcards

1
Q

MR Process Planning Stage: Figure out what to research

A
  1. Establish the need
  2. Define the problem
  3. Establish research objectives
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2
Q

MR Process Data Collection Design: Design the ways to do the research

A
  1. Identify information types and sources
  2. Determine methods of accessing data
  3. Design data collection forms
  4. Determine the sample plan and size
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3
Q

MR Process Data Collection Stage: Gather data

A
  1. Collect data
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4
Q

MR Process Analysis Stage: Generate findings and interpret them

A
  1. Analyze data
  2. Prepare and present the research report
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5
Q

Problem Definition

A

The most important step
- A problem well defined is half-solved
- “If you don’t know where you want to go, any road will get you there”
- Exploratory research is often needed to find out real problems (detecting symptoms is not enough!)
- Good communication b/w marketers and marketing researchers is important

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6
Q

Problems vs. Symptoms: Problem

A

A situation requiring some type of action

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7
Q

Problems vs. Symptoms: Symptom

A

Evidence that a problem exists

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8
Q

Problems = Opportunities (in many cases)

A
  • A competitor’s new product - developing our new product
    A customer’s complaint letter - quality improvement
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9
Q

Constructs are

A

Information

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10
Q

Operational definitions are

A

Data

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11
Q

When formulating research objectives

A
  • Researchers should consider relevant & necessary constructs and their operational definitions to be used in the research
  • Each decision problem may need multiple constructs, and each construct may need multiple operational definitions / measurements
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12
Q

Exploratory research

A
  • Clarifying ambiguous problems
  • What are probable causes?
    (Our market share is declining, I don’t know why!)
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13
Q

Descriptive research

A
  • Describing characteristics of a population
  • Who, what, when, where, how
    (Who buys our product? What features of our product do consumers like?)
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14
Q

Causal research

A
  • Identifying cause and effect relationships among variables
  • Why, what-if
    (Will consumers buy more of our product if we change the product package design?)
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15
Q

Secondary data

A

Collected for some other purposes

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16
Q

Primary data

A
  • Gathered specifically for the current research purpose
  • Need to understand measurement, scaling, sampling issues
17
Q

Types of secondary data

A
  • Internal data
  • Libraries
  • Information vendors
  • Books and periodicals
  • Government data
  • Broadcast media
  • Trade associations
18
Q

Types of primary data

A
  • Observations
  • Interviews
  • Survey methods
  • Experiments
19
Q

Data Analysis

A
  1. Data cleaning
  2. Data coding
  3. Data entry
  4. Data analysis
20
Q

Descriptive statistics

A

Revealing general patterns

21
Q

Statistical inference

A

Testing hypothesis on population values

22
Q

Difference analysis

A

Comparing two or more groups

23
Q

Associative analysis

A

Investigating relationships among two or more variables

24
Q

Predictive analysis

A

Enhancing prediction capabilities