Research Flashcards

1
Q

What types of random sample methods are there ?

A
Simple
Systematic
mixed methods/multi-stage
stratify
cluster
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2
Q

What types of non-random methods are there ?

A
Snowball
Quota 
Self-selection
Purposive
Convenience
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3
Q

3 criteria to asses the quality of the research.

A

Usability
Validity
Reliability

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4
Q

3 types of research

A

evaluative
descriptive
explanatory

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5
Q

3 types of interviews

A

structure
unstructured
semi-structured

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6
Q

What should the introduction of a survey have ?

A

Introducing the researcher
Stating the objective of your research
If it is done confidentially
The time needed

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7
Q

Before choosing a design you need to consider the following topics

A

You need to choose a design which can give answer to your question.
The skills and knowledge of the researchers conducting the research project.
Available budget.
Available time
Paradigm
Research elements

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8
Q

List the 7 factors Verhoeven Stated to asses the quality of research

A
Independence 
Validity
generalizability
Reliability
Falsifiability
Informativity
Practical criteria
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9
Q

Quantitative data collection methods.

A
Surveys
Secondary analysis
Experimental Design
Monitoring
Observation : counting heads
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10
Q

Qualitative Data collection methods

A

Qualitative desk research
observation
interview
case study

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11
Q

In the problem analysis phase you ?

A

Investigate the problem
Conduct the literature research
demarcate the problem
formulate the research question and objectives.

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12
Q

6W formula ?

A
What is the problem ?
Whose problem is it ?
When did the problem arise ?
Why is it a problem ?
Where is the problem located ?
What is the cause of the problem ?
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13
Q

Features of a survey

A

They research a large group of people
They are done at one point in time (cross-sectional)
They research knowledge, attitudes and perceptions.
They ask descriptive and/or evaluative questions.
Interviews conducted by interviewers using structured questionnaires containing closed questions
They involve a large number of questions
The samples are drawn randomly
The data is analyzed quantitatively.

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14
Q

Secondary analysis disadvantages

A

You dont have any control over the data

You also have to find solutions for any errors that may have occurred during original data collection.

It may be that you have to adjust the central question in your secondary analysis in order to be able to use a particular data set.

Data has to be thoroughly processed before it can be used for further analysis

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15
Q

What is the difference between Meta-analysis and secondary analysis.

A

When you do secondary analysis, you analyse the data gathered by other researchers. But when you do meta-analysis, you collect complete databases before going on to compare them.

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16
Q

To maintain credibility and reliability of the results, What can you do ?

A
  1. ) The questionnaire structure is the same for all respondents.
  2. ) The question formulation is the same for all the responses.
  3. ) The formulation of the possible answers is the same for all respondents.
  4. ) There aren’t to many open questions.
  5. ) The questions are logical.
17
Q

What is a logical sequence of questions in a survey ?

A
  1. ) Start with simple, general and engaging question.
  2. ) Be straightforward about your intentions
  3. ) Don’t put difficult questions right at the end of your questionnaire. (best part at beginning second part)
  4. ) Group questions with the same answer categories
18
Q

Types of response options in a survey ?

A
Single item answer
Rating scale (likert)
List
Open answer
Semi-open answer
Multiple answers
Dichotomous anwers
19
Q

What do questions in a survey need to be ?

A
Clear and simple
Not leading
Not double barreled
No double negatives
Objective 
unbiased
20
Q

What do good answers need to be in a survey ?

A
Stated in recognizable categories
Logical sequence
Exhaustive (all possible answers)
no overlap in questions
measurable
21
Q

Reasons for item non-response

A
  1. ) The respondent doesn’t understand the question
  2. ) The question doesn’t apply to the respondent
  3. ) The respondent doesn’t feel like answering the question
  4. ) The respondent has no opinion on the subject, doesn’t know the answer.
  5. ) The respondent hasn’t seen the question.
22
Q

What is holistic research

A

In qualitative research the research elements are studies on their own turf, in their normal surroundings.