thing Flashcards
(148 cards)
What is qualitative data with examples?
data representing information and concepts that are NOT represented by numbers.
Qualitative data often involves methods such as interviews, focus groups, observations, or analysis of texts and documents.
One strength and one weakness of qualitative data
One strength of qualitative data is its ability to provide rich, detailed, and in-depth information about the research topic.
One weakness of qualitative data is that it can be time-consuming and resource intensive. Collecting and analysing qualitative data requires significant investment in terms of time, effort, and expertise.
What is quantitative data?
Quantitative data is data that is represented using numbers.
One strength and one weakness of quantitative data
One strength of quantitative data is its ability to provide precise and objective measurements. Quantitative data is based on numerical values and can be easily analysed using statistical techniques.
One weakness of quantitative data is its potential for oversimplification and lack of contextual understanding. Quantitative data focuses on numerical measurements, which may overlook the + of the research topic. It may fail to capture the subjective experiences, motivations, and nuances that qualitative methods can provide
What is Primary Research?
Primary Research involves the first-hand collection and analysis of data by researchers, rather than relying on existing data or sources. Primary research methods commonly include surveys, interviews, observations, experiments, or focus groups.
Give one strength and one weakness of Primary Research
One advantage of primary research is the opportunity to gather data that is tailored to the specific research needs and researcher bias can be controlled for. Researchers have control over the design and implementation of data collection methods, allowing them to obtain precise and targeted information.
One disadvantage of primary research is that it can be time-consuming and costly. Primary research often requires substantial resources in terms of time, effort, and budget. It involves various tasks such as: recruiting participants, conducting data collection and interpreting results.
What is Secondary Research?
Secondary research refers to the process of gathering and analysing existing data and information that has been previously collected by other researchers or organizations.
Give one strength and one weakness of Secondary Research
One advantage of secondary research is its cost-effectiveness and time-efficiency. Since the data already exists, researchers can save time and resources by accessing and analysing existing information.
One disadvantage of secondary research is the potential lack of control over the quality and reliability of the data. Researchers rely on the accuracy, validity, and completeness of the data collected by others, which may vary across different sources. The data may have been collected for different purposes or using different methodologies, making it challenging to ensure consistency or compatibility.
What is Internal validity?
Internal validity: Refers to the extent to which a study accurately measures the causal relationship between variables and minimizes confounding factors or alternative explanations within the research design.
What is external validity?
External validity: Refers to the generalizability of research findings beyond the specific context or sample used in the study e.g., to other populations, settings, or situations, and the real-world applicability and relevance of the research.
What is historical validity?
Historical validity: It involves assessing the extent to which the historical data used in the research is reliable, unbiased, and accurately reflects the past context or time period being investigated.
What is population validity?
Population validity: Refers to the degree to which the findings of a study can be generalized to the broader population from which the sample was drawn.
What is ecological validity?
Ecological validity: Refers to the extent to which the findings of a study can be generalized to the real-world or naturalistic settings.
What is face validity?
Face validity: Face validity is simply whether the test appears (at face value) to measure what it claims to. This is the least sophisticated measure of validity.
What is predictive validity?
Predictive validity This is the degree to which a test accurately predicts a criterion that will occur in the future.
What is Mundane Realism?
- Mundane realism - the extent to which an experimental situation resembles a real-life situation or event.
What is a Standardised procedure
- Standardised procedures – An experiment which follows a set procedure.
What are demand characteristics
- Demand characteristics – Parts of the study which could result in the participants being able to guess what the experiment is about and changing their behaviour to appear desirable rather than acting naturally.
What are participant variables
- Participant variables – Variables which may affect a study determined by the participant such as height, weight, intelligence, amount of sleep ect.
What are Operationalisations
- Operationalisation - Operationalization means turning abstract concepts into measurable observations. For example IV, and DV
What is meant by ‘researcher bias’
- Researcher bias - Researcher bias occurs when the researcher’s beliefs or expectations influence the research design or data collection process.
What is meant by ‘confounding variables’
- Confounding variables – Extraneous variables in the study which go on to impact the results as a result.
What is meant by ‘extraneous variables’
Variables in a study that are not being measured or manipulated by the researcher but affect the results (DV) of ALL participants’ behaviour equally.
What is meant by a ‘biased sample group’
Biased sample groups – The sample of an experiment not matching an overall population.