Market Research Flashcards

1
Q

market research

A

composed of: problem identification + problem solving

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2
Q

problem identification

A

research on:
market potential + share + characteristics + sales analysis + forecasting + business trends

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3
Q

problem solving

A

research on:
segmentation + product + pricing + promotion + distribution

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4
Q

the research process

A
  1. problem definition
  2. approach to the problem
  3. research design
  4. fieldwork
  5. data analysis
  6. present the report
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5
Q

problem definition

A

tasks: discussion w/ decision makers, interview industry experts, secondary data analysis + qualitative research

consider: past info, resources, objectives, buyer behavior, legal + economic environment…

  • management decision problem vs research problem
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6
Q

approach to the problem

A

need to consider internal + external factors

components:
- theoretical foundations
- analytical model (verbal, graphical, or mathematical)
- research questions
- hypotheses
- specification of info needed

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7
Q

research design

A

framework/blueprint for conducting the research project

  • define the info needed
  • design exploratory/descriptive/causal phases
  • specify measurement + scaling
  • construct a form of data collection
  • specify sample process + size
  • develop a plan for data analysis
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8
Q

classification of research design

A
  1. exploratory research design
  2. conclusive research design
    - causal research
    - descriptive research
    • longitudinal design
    • cross-sectional design (single vs multiple)
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9
Q

exploratory research vs conclusive research

A

objective: to provide insights vs to test hypotheses

characteristics: info needed is defined loosely vs info needed is clearly defined; flexible vs formal; non-representative sample vs representative sample; qualitative vs quantitative data analysis

findings: tentative vs conclusive

outcome: followed by further exploratory research or conclusive vs using findings for decision making

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10
Q

exploratory research

A

used to: define problem precisely + develop hypotheses + isolate key variables + establish priorities

methods: survey of experts + secondary data analysis (qualitative) + qualitative research

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11
Q

descriptive research

A

to describe market characteristics + functions (determine perceptions + make predictions)

methods: surveys + panels + observational data + secondary data analysis (quantitative)

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12
Q

causal research

A

determine cause + effect relationships

  • manipulation of independent variables + effect of dependent variables

methods: experiments

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13
Q

cross-sectional design

A

collection of info from a population only once

  • single cross-sectional: one sample of respondents
  • multiple cross-sectional: two or more samples of respondents

cohort: group of respondents who experience the same event within the same time interval

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14
Q

longitudinal design

A

fixed sample/s of population elements is measured repeatedly on the same variables

  • differs from cross-sectional design in that the sample remains the same over time
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15
Q

types of error in research design

A
  1. random sampling error
  2. non-sampling error
    • response error (researcher, interviewer, respondent error)
    • non-response error
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16
Q

random sampling error

A

occurs because the sample is an imperfect representation of the population of interest

17
Q

non-sampling error

A

errors attributed to sources other than sampling
- non-response errors: respondents do not respond
- response errors: inaccurate answers or answers are mis-recorded/mis-analyzed (researcher, interviewer, respondent)

18
Q

types of response errors by researcher

A

surrogate information error
measurement error
population definition error
sampling frame error
data analysis error

19
Q

types of response errors by interviewer

A

respondent selection errors
questioning errors
recording error
cheating error

20
Q

types of response errors by respondent

A

inability error
unwillingness error