Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Survey Research and Design > Week 2 - Survey Design > Flashcards

Week 2 - Survey Design Flashcards

1
Q

List the three research types

A

Experimental, Quasi-experimental and Non-experimental

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are the purposes of Exploratory and Descriptive research?

A

Information gathering

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are the purposes of Explanatory and Predictive research?

A

Theory testing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a Research Process?

A

Examples of iterative (constant) research process models and where survey design and sampling fits in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

List the survey research process

A
  • Reality / observation / theory
  • Problem definition / hypotheses
  • Research method design (incl. survey)
  • Collect data
  • Analyse
  • Results
  • Discuss (generalise / apply)
  • Disseminate (get reviewed / publish)
  • New study?
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

List the “Hourglass” notion of research

A
  • Start with broad questions
  • Narrow it down
  • Operationalise
  • Observe
  • Analyse data
  • Research conclusions
  • Generalize back to question
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

List the types of surveys

A
  • Self administered

- Interview administered

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

List the stages of questionnaire develipment

A
  1. Formulate a generic questionnaire
  2. Expand on the questionnaire
  3. Pre-test/redraft
  4. Finalise and implement
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Key parts of a survey

A
  • Title page
  • Information sheet
  • Consent form
  • Instructions
  • Questionnaire
  • End pages
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Details of the information sheet

A
  • Study name
  • List of researchers
  • Purpose of study
  • What is required
  • Risks/costs/rewards
  • How the results will be used
  • Ethics approval
  • More info: complaints etc
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Why pre-test a survey?

A
  • for feedback
  • revise redundant, misunderstood and non-competed questions
  • double check layout etc
  • test on anyone convenient
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Why Pilot-test a survey?

A
  • analyse data
  • revise survey
  • test on a small sample from the target population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Avoid questions that are:

A
  • Double-barreled
  • Double negative
  • Leading
  • Loaded
  • Objective
  • Subjective
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Define a double-barreled question

A

Questions which have more than one concept or purpose - they should be split into different questions.
E.g. “What should the speed limit be for trucks and cars?”
Split them.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Define a double negative question

A

They’re confusing because responding with “no” creates a double negative.
E.g. “Do you disapprove (neg) of gay marriage?” Answering with no (neg), even though the answer is positive is confusing.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Define a leading question

A

A question that suggests an answer.

E.g. “Do you think Jess should earn more money than she is currently paid?!”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Define a loaded question

A

a question that suggests a socially desirable answer.

E.g. “Have you stopped beating your wife?” Yes = You were previously hitting her, No = You’re still hitting her.

18
Q

Define an objective question

A

A true answer exists and the participant could give an accurate answer, but the question is made hard by how it’s delivered.
E.g. “How many times last year did you see a Dr?”
Who would remember specifics that long ago?

19
Q

Define a subjective question

A

Asks silly personal perceptions that can’t really be answered..
E.g. “how well did you understand the medical advice you were given?”
There are many possible answers depending on the person.

20
Q

Define an objective question

A

There’s a verifiably true answer

21
Q

Define a subjective question

A

Based on perspective of the respondent

22
Q

What is a Dichotomous question?

A

-Closed ended
-only two response options e.g. yes, no or male, female etc
-

23
Q

What is a Multichotomus question?

A
  • closed ended

- when more than two answers can be chosen

24
Q

What is a ‘the list’/ multiple response question?

A
  • closed ended

- when a list of answers to choose from is provided

25
Q

What is a ranking question?

A

-closed ended
-one which helps measure the importance of several items.
E.g. “What is most important to you: 1. 2. 3. etc”
-ordinal data

26
Q

What is a verbal frequency scale?

A
  • closed ended
    e. g. “Over the past month, how often have you cried?”
    1. All the time 2. Often 3. Occasionally 4. never etc
27
Q

What is a likert scale?

A

-closed ended
Measures strength of feeling perception.
E.g. How much do you agree with bla?
1. agree 2. neutral 3. agree etc

28
Q

What is a graphical rating scale?

A 
- closed ended 
When a cross can be marked along a scale.
E.g. "how much did you like the movie?"
didn't-----------------------------did
-common online
29
Q

What is a semantic differential?

A 
-closed ended
When a tic/across can be placed along each row to show your opinion.
E.g. bad - good
strong - weak
unattractive - attractive
30
Q

What is a non-verbal (idiographic) scale?

A

-closed ended
e.g. point to the face that shows how you feel about studying.
:) :/ :( >:(

31
Q

What is Nominal data?

A

people or events are sorted into unordered categories. (“Are you male or female?”)

32
Q

What is Ordinal data?

A

people or events are ordered or placed in ordered categories along a single dimension. (“How would you rate your health - very good, good, fair, or poor?”)

33
Q

What is Interval data?

A

numbers are attached that provide meaningful information about the distance between ordered stimuli or classes. e.g. 1st, 2nd, 3rd

34
Q

What is Ratio data?

A

numbers are assigned that have absolute 0 meaning such as a count or measurement by an objective, physical scale such as distance, weight, or pressure. (“How old were you on your last birthday?”)

35
Q

Define ‘Target Population’

A

The people who I wish to study/generalise

e.g. Catholics living in Aus

36
Q

Define ‘Sampling Frame’

A

Who has the chance at being selected?

37
Q

Define a ‘Sample’

A

The people who get selected for the study

38
Q

Define ‘Representatives’

A

Is your chosen sample a good indicator of the target population?

39
Q

List the types of probability sampling

A
  • Simple random - out of a hat
  • Systematic random - e.g every 10th person
  • Stratified random - e.g. Every 10th person from every grade
40
Q

List the types of non-probability sampling

A
  • Convenience
  • Purposive - purposely targeting specific people - e.g. people who dropped out of uni
  • Snowball - People not easily identified, contacted by referral e.g. drug dealers

Survey Research and Design (2 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions