Data collection
Mastering Methods, Instruments, and Ethical Practices for Effective Data Gathering in Real-World Contexts
Good answers start with good data. Learners need to know how data is collected, how samples are chosen, and why unfair or unclear questions can spoil the results.
Data Collection Overview
In Grade 10 Mathematical Literacy, learners must be able to collect information in a fair and sensible way. That means choosing a method that fits the question, using clear questions, and making sure the data collected will actually help when it is time to organise, draw, and interpret results.
Data Collection Components
Data Collection Framework
Data Collection Decision Model
Appropriate Method = (Research Question + Population + Resources + Ethics)
This framework reminds learners to think before they collect data. Ask what you need to find out, who you need information from, what time or money is available, and whether the method is fair and respectful.
Selection Criteria
Question Design Principles
Effective Question = Clear + Unbiased + Relevant + Appropriate Format
A good question is easy to understand and does not push people toward one answer. If the question is confusing or biased, the data will be weak from the start.
Interactive Method Selection Tool
Ethical Decision Simulator
Data Collection Process
Define Research Objectives
Clearly identify what information needs to be collected, why it's needed, and what questions the data should answer.
Select Appropriate Method
Choose data collection method(s) based on research objectives, population characteristics, available resources, and ethical considerations.
Design Data Collection Instruments
Develop tools for gathering data, ensuring they are valid, reliable, and ethical.
Determine Sampling Strategy
Select appropriate sampling technique to obtain a representative subset for data collection.
Implement Ethical Data Collection
Conduct data collection while adhering to ethical principles.
Primary Data Collection Methods
Surveys
Surveys collect data from a group of people through structured questioning. They are commonly used for gathering information about attitudes, opinions, behaviors, or characteristics.
Observations
Data collection through direct, systematic watching and recording of behaviors, events, or processes. Particularly useful when subjects cannot report accurately or when behavior is the focus.
Experiments
Systematic investigation where variables are manipulated to observe effects on other variables. Used primarily for establishing cause-effect relationships in controlled settings.
Secondary Data & Sampling Techniques
Existing Sources
Data collected by others for different purposes but relevant to current research. Includes government statistics, organizational records, research studies, media reports, and online databases.
Sampling Techniques
Methods for selecting a representative subset from a larger population when studying the entire population is impractical or impossible.
Data Instruments
Tools and technologies used to gather, record, and store data during the collection process.
Ethical Data Collection Framework
Informed Consent Process
Clearly explain the research purpose, procedures, risks, benefits, and rights to potential participants before obtaining their voluntary agreement to participate.
Privacy & Confidentiality Protection
Safeguard participants' personal information and ensure data cannot be traced back to individuals unless explicitly agreed otherwise.
Risk & Harm Minimization
Identify and reduce potential physical, psychological, social, or economic risks to participants throughout the data collection process.
Honest Representation & Reporting
Accurately represent the research purpose and methods, avoid deception unless absolutely necessary, and report findings truthfully without distortion.
Respect for Participants & Data
Treat participants with dignity, respect their time and contributions, and handle collected data responsibly for the stated purposes only.