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Quantitative data
numerical data that can be measured. E.g age, height. Represented through numerical data types.
Qualitative data
Descriptive data that can not be measured.Focuses on description and feelings E.g opinions, emotions. Also called categorical since it can sorted by category.
Uses of quantitative data
Comparisons, trends,
Nominal data
Categorical data that is used to label unranked data.E.g. gender
Ordinal data
Categorical, statistical data that has an order. E.g Ranks and tiers
Interval data
Quantitative data that is measured by equal intervals. E.g atar, IQ scores
Ratio data
A numerical measurement scale with ordered,equal intervals and no negative values (absolute zero), and full mathematical operability. E.g height, weight. Any quantitative data that allows for comparisons.
Define data sampling
process of selecting a subset of data from a larger population for analysis
What is manual active collection
involves actively engaging with participants or customers to collect data. E.g surveys, interviews
What is manual passive collection
involves collecting data without actively engaging with participants or customers. E.g observations, and existing data
What are active computerised methods
involves using technology to actively collect data from participants or customer. E.g online surveys and mobile apps
What are passive computerised data collection
involves collecting data automatically through technology, without actively engaging with participants or customers. E.g web analytics, tracking devices
Pros and cons of computerised data collection
Pros:
Efficiency and Accuracy due to lower likelihood of human error + automated validation
Cost-effectiveness: Delivers long-term cost savings by reducing the need for manual labor, paper, and physical resources.
Cons:
High Upfront Costs: Initial investment in software, hardware, infrastructure, and setup can be expensive
Training & Adaptation Required: Staff need time and training to adapt to new automated systems and tools.