Types of Data - Research Methods (Paper Two, Chapter Six)
- Created by: alexandtheturners
- Created on: 26-08-20 10:27
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- Data Types
- Quantitative Data - measuring data numerically
- not as rich in detail and cannot understand reasons for behaviour
- can be easily compared to find patterns and trends
- eg - the scores on a memory test
- methods - experiments, correlations, structured observations and interviews, and closed questions
- Primary Data - original data collected by a researcher
- methods - questionnaire, interview, observations, experiment
- time-consuming ad cannot be accessed quickly
- fits the requirements and extracts the relevant data
- Secondary Data - data that already exists, often used to predict an outcome
- inexpensive
- always exists with minimal effort
- may be poor quality, outdated, incomplete or invalid
- Quantitative Data - measuring data numerically
- Qualitative Data - data is in words or images, often focusing on thoughts, feelings and experiences (descriptive)
- rich in detail and can understand reasons for behaviour
- methods - unstructured interviews, opens questions, some observations
- can't be easily compared with using patterns and trends
- eg - an interview on childhood experiences
- Data Types
- Quantitative Data - measuring data numerically
- not as rich in detail and cannot understand reasons for behaviour
- can be easily compared to find patterns and trends
- eg - the scores on a memory test
- methods - experiments, correlations, structured observations and interviews, and closed questions
- Primary Data - original data collected by a researcher
- methods - questionnaire, interview, observations, experiment
- time-consuming ad cannot be accessed quickly
- fits the requirements and extracts the relevant data
- Secondary Data - data that already exists, often used to predict an outcome
- inexpensive
- always exists with minimal effort
- may be poor quality, outdated, incomplete or invalid
- Quantitative Data - measuring data numerically
- methods - journals, government statistics, records, websites
- Meta-Analysis - combining the results of a number of studies on a particular topic, to provide an overall view (with secondary data)
- increases the validity of conclusions, with a large sample size
- bigger extent of generalisation
- publication bias
- may select studies that are only positive, so only represents some of the data
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