Quantitative Research 1 - Getting data

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Week 6
Nikolas Bosin
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Nikolas Bosin
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What is the source of most quantitative data? Measurement and measuring things respectively
What are the two important questions in respect to measurement? What do I want to measure? How do I measure it?
What are the sources of quantitative data? - Primary data: self collected data(e.g. surveys) - Secondary data: already existing data is employed (e.g. financial records) - Mixed approaches: creation of quantitative data from secondary sources (patents)
Measurement captures use variables to describe something. What are the two "classes" of variables that are important here? - Variables distinguished by perceivability - Variables distinguished by operationalisation
What are the variables distinguished by perceivability? - Manifest variables (can be observed directly) - Latent variables (cannot be observed directly)
What are the variables distinguished by outcome of operationalisation? - Nominal - Ordinal - Metric
What values can the variables of operationalisation have? - Dischotomous (only two values) - Discrete (few seperate values) - Continuous ("fluid" range of values)
How do we call data that was gathered across the sample but at only one point in time? Cross-sectional data
How do we call data that was gathered repeatedly over time through the same observations? Panel
What elements should a survey incorporate? - Welcome - Legitimation - Motivation
What are the steps you have to follow when planning a survey? 1. Research question and "conversation" 2. Population/sample 3. First draw and feedback not in your sample 4. Pilot test with selected people out of your sample 5. Actual survey
Surveys are so called "self-reported variables". Two more self-reported variables would be... - Open ways (interviewing) - Closed ways (e.g. Likert scale)
Gathering primary data it is imortant coming from conceptional to operational definitions. What does that mean? Doing research, you should limit your questions more and more and make them more precise
What is a scale? A set of items (=questions) that jointly measure a construct
What does the Kirton-Adaption-Index measure? How innovative an individual supposedly is
How to test the reliability of my measurement? Using the following methods: - Test-retest reliability - Parallel test reliability - Split-half reliability - Inter- rater reliability - Internal reliability
How can we increase validity of our measurements? - Use pilot studies - Use existing scales
What are things to watch out for when using secondary data? - Validity and reliability - Biases in measurements
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