Wiki source code of Measuring Instruments

Version 4.2 by Frank Broz on 2022/03/22 08:33

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2 = Frameworks =
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4 == DECIDE ==
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6 **D**etermine the goals
7 - What are the high-level goals? Who wants it and why? The goals influence the approach of the study
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9 **E**xplore the questions
10 - Define the goals and reseach questions
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12 **C**hoose evaluation approach and methods
13 - Influences the data collection, analysis and presentation
14 - Exploratory research => qualitative data, observational study,
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16 **I**dentify practical issues
17 - Users, budget, schedule, equipment etc.
18 - Pilot study important
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20 **D**ecide about ethical issues
21 - Adhere to ethical procedure
22 - User rights! Explain the goals (before/after), methodology etc.
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24 **E**valuate, analyze, interpret, present data
25 - Reliable results: Can the results be replicated?
26 - Validity: Is the data related to the hypothesis?
27 - Bias: Are the results unbiased?
28 - Scope: Can this be generalised?
29 - Ecological validity: Is the environment influencing the results?
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31 == IMPACT ==
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33 **I**ntention: Present the objectives and claims
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35 **M**easures and metrics: "What, how and why"
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37 **P**eople: Define the participants
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39 **A**ctivities: Use cases into activities
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41 **C**ontext: Social, ethical, physical, etc. environment definition
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43 **T**echnologies: Hardware and software
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46 = Evaluation methods =
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48 == Formative evaluation ==
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50 - Open ended evaluation on the design
51 - E.g. How will the users respond to the new design?
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54 == Summative evaluation ==
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56 - Focus on the overall effect
57 - Summarizes if the objective is reached
58 - E.g. Are the participants happier when working with design X in comparison to design Y?
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60 == Data ==
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62 - Qualitative: Explore, discover, instruct
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64 - Quantitative: Describe, explain, predict
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66 - Subjective quantitative
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68
69 == Statistics ==
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71 - Descriptive: Describe the dataset, e.g. mean time on task
72 - Inferential: Using a sample to infer about a population, e.g. predicted mean time on task based on user characteristics.
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74 == Experiment Design: Conditions ==
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76 === Within Subjects (Repeated Measures) ===
77 Each participant is subjected to all the test conditions.
78 Fewer subjects needed and reduces variance in the Can be difficult to setup due to subjects fatiguing, learning about the setup or simply not having enough time.
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80 === Between Subjects (Between Groups) ===
81 One subject undergoes only one test. Simple to execute, but results in significant variance due to inter-subject differences in characteristics.
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83
84 == Lenses ==
85 - Lense means to take different perspectives looking at your system
86 - E.g. perspective of the stakeholders, other groups, or technical/legal
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