Survey method and questionnaire design Flashcards

1
Q

Survey method definition

A

Research procedures for collection large amounts of raw data using question and answer formats

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2
Q

Survey method main goal

A

Provide fact and estimate to accurately to accurately understand the market phenomena and identify possible relationships between market and behavior

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3
Q

Advantages of survey method

A
Sample size and generalization
Small difference
Standardized data
Analysis
Administration and recording
Latent factors and relationships
Time frames
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4
Q

Disadvantages of survey methods

A
Dev survey design
Data
Timeliness
Response rate
Untruthful responses
Analysis
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5
Q

Type of survey method

A

Person, Telephone, Self administered, online

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6
Q

Choose survey method

A

Situational, task, respondent factors

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7
Q

Situational factors

A

Budget
Time
Quality required: completeness of data, generalizability, precision

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8
Q

Task factors

A

Difficulty
Stimuli needed to elicit a response
Amount of data needed
Research topic sensitivity

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9
Q

Questionnaire definition

A

Formalized framework consisting of a set of questions and s cale designed to generate primary raw data

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10
Q

Hypothesis definition

A

Formalized statement of a testable relationship between two or more constructs or variables

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11
Q

type of hypothesis

A

Null
Non
Inverse
Direct directional

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12
Q

Step 1 in questionnaire design

A

Transform research objective into information objectives

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13
Q

Step 2 in questionnaire design

A

Determine the appropriate data collection method

TPSOC

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14
Q

Step 3 in questionnaire design

A

Determine information requirements for each objective

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15
Q

Step 4 in questionnaire design

A

Develop specific questions

Consider respondents' inability
- not well informed
- don't remember
- can't articulate response
Consider respondents' unwillingness
- too much effort
- inappropriate
- research objective not legitimate
- sensitive data
Question format
- unstructured (open-ended): consider articulation, type of survey
- structured
dichotomous: easy, not a lot of data
multiple-choice: effort, response bias alternative/rank, pages, appearance
Question in scale measurement format
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16
Q

Step 5 in questionnaire design

A

Evaluate question

  • Definite issues
  • Ordinary, unambiguous words
  • Positive, negative
  • Leading
  • Implicit alternative, assumptions
  • Generalization and estimates
17
Q

Step 6 in questionnaire design

A

Establish flowerpot

  • Question and scale in logical order
  • Introduction and instructions
  • Stabilise by building base
18
Q

Step 7 in questionnaire design

A

Evaluate the questionnaire and layout

  • questionnaire meets info needed
  • data are what research desires
  • section general to specific
  • numbering, branching, crowding of questions
19
Q

Step 8 in questionnaire design

A

Obtain client’s approach

20
Q

Step 9 in questionnaire design

A

Pretest and revise the questionnaire

- pilot fieldwork and questionnaire

21
Q

Step 10 in questionnaire design

A

Finalize the questionnaire format

  • support materials
  • appearance
  • grouping
  • colour
22
Q

Step 11 in questionnaire design

A

Implement the survey

23
Q

Purpose of pretesting (step 9)

A
Validity
Reliability
question wording, sequencing
completion time
Instructions
Cover letter
Research design
Problem identification
24
Q

Rules of pretesting

A
Respondent, context similar
Personal interview
Old and new interviewers
Further pilot testing
Protocol analysis
Debriefing
Pilot testing analysis
25
Q

Type of errors in survey design

A
Sampling error
Non sampling
Respondent
Non respondent
Response bias