Workshop 1 - Problem Analysis Flashcards

1
Q

Reliability

A

Refers to the degree to which multiple measurements come up with the same results.

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2
Q

Text/re-test reliability

A

Imagine you take an IQ test, repeat that two weeks later, to what extent do the results agree with each other?

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3
Q

Inter-rater reliability

A

When two people are assessing something, to what extent do the results agree with each other?

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4
Q

Internal consistency

A

Imagine you want to assess someone’s mood with three different questions, to what extent do the results agree with each other?

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5
Q

Validity

A

Refers to the degree to what extent your measurement corresponds to what you want to measure. Can also be called accuracy.

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6
Q

Basic research

A

Generates a body of knowledge by trying to comprehend how certain problems that occur in organisations can be solved

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7
Q

Applied research

A

A methodology used to solve a specific problem of an individual group.

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8
Q

Five steps of the research cycle

A
  1. Problem analysis
  2. Research design
  3. Data collection
  4. Data Analysis
  5. Reporting
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9
Q

Problem analysis

A
  1. Direct cause
  2. Problem
  3. Aim
  4. Research question
  5. Hypotheses
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10
Q

Direct cause

A

Answer the all-important WHY-question

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11
Q

Problem

A

Elaborate on the characteristics of the problem

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12
Q

Aim

A

What is the aim of the study? What will the result of this study all you to do/decide that you can’t do/decide now?

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13
Q

Research question

A

Which overarching question will your research answer? Which sub-questions do you need to answer first to get there?

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14
Q

Hypotheses

A

Make predictions about the outcomes if you have enough information to do so

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15
Q

Research design

A
  1. Operationalise of variables
  2. Type of research and study
  3. Population and sampling
  4. Research method
  5. Representativeness, biases and quality
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16
Q

Operationalisation

A

Intended to guard the clarity of your research.

Every concept or term that you used in the problem analysis needs a detailed definition.

17
Q

Type of research and study

A

Know what and how

18
Q

Descriptive studies

A

Presenting known information

19
Q

Exploratory studies

A

Trying to find new information

20
Q

Examinatory studies

A

Checking if your hypotheses are true

21
Q

Quantitative research

A

Outcome is in numbers

22
Q

Qualitative research

A

Any type of study that aims to acquire information that is not numerical.

23
Q

Population

A

The focus group of your research

24
Q

Sample

A

A smaller group chosen from the population

25
Q

Research method

A
  1. Which research tool
  2. Which instrument are you going to use?
  3. What procedure will you follow?
26
Q

Representativeness

A

Whether your sample is sufficiently representative of this population

27
Q

Quality of the measurements

A

Check the quality of your measurements. Assure that no bias took place. (Bias - the degree to which the objectivity of measurements is affected by noise.