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Research Paradigm: A framework or model that guides the research process -…
Research Paradigm: A framework or model that guides the research process
Quantitative Research: Research that focuses on numerical data and statistical analysis to draw conclusions Kwantitatiewe Navrsing: Navorsing wat fokus op numeriese data en statistiese analise om gevolgtrekkings te maak
Participant: A person who takes part in a research study or experiment Deelnemer: 'n Persoon wat aan 'n navorsingsstudie of eksperiment deelneem
Intergrated Statistics: The use of both descriptive and inferential statistics in research
Inferential Statistics: Techniques used to make predictions or inferences about a population based on sample data
Effect Size: A measure of the magnitude of a treatment effect in a study
Statistical Significance: The likelihood that observed differences or relationships in data are not due to chance Statistiese Beduidenheid: Die waarskynlikheid dat waargenome verskille of verhoudings in data nie toevallig is nie
Practical Significance: The real-world importance or relevance of reseacrh findings. Praktiese Beduidenheid: Die werklike belangrikheid of relevansie van navorsingsbevindinge
Experimental Study: Research that involves manipulating an independant variable to observe its effects on a dependent variable.
True Experiment: A research design with random assignment of participants to experimental and control groups
Quasi-Experimental: Research that lacks full experimental control but still attempts to establish cause-and-effect relationships
Pretest-Posttest Control Group Design: A quasi-experimental design involving measurment before and after treatment with a control group
Quasi-Experimental: Reseach that lacks full experimental control but still attempts to establish cause-and-effect relationships
Pretest-Posttest Comparison Group Design
Reliability: Consistency or repeatability of research results
Random Significance: Choosingparticipants for a study in a way that every individual has an equal chance of bein selected.
Variables: Factors or characteristics that can change or vary in a study.
Independant Variable: The variable manipulated in an experiment
Sample: A subset of the population chosen for a study
Validity: The degree to which a study measures what it intends to measure
Qualitative Research: Research that explores and interprets non-numeric data
Respondent: An individual who responds to survey quations
Historical Research: Examining past events or conditions to understand their influence on the present.
Crystallization: The process of looking at data from multiple perspectives in qualitative research
Inferential Statistics: Techniques used to make predictions or inferences about a population based on sample data
Generalization: Extending research findings to a broader population.
Correlation: A statistical measure of the relationship between two variables
True Experiment: A research design with random assignment of participants to experimental and control groups.
Ethnography: A qualitative research method that involves studying and describing a culture
Questionaires: A research method involving written or printed questions
Generalizability: The extent to which research findings can be applied to a larger population
Mean, Median, Mode: Measures of central tendancy in descriptive statistics
Descriptive Statistics: Methods for summarizing and describing data
Median: The middle value in a set od data.
Mode: The most frequently occuring value in a set of data
Interviews: A method of collecting data through direct questiioning
Case Study: In-depth analysis of a person, group, or situasion.
Experimental Group: The group in an experiment that receives the treatment
Control Group: The group in an experminet that does not receive the treatment.
Treatment or Intervention: The manipulation applied to the experimental group in an experiment.
Survey: A research method involving collecting data through questionnaires or interviewes
Content Analysis: Analyzing and interpreting the content of texts or media.
Hypothesis: A testable prediction or statement about the relationship between variables
Phenomological Study: A qualitative research method focused on exploring individuals experiences
Qualitative + Quantitative: Combining both qualitative and quantitative research methods in a study
Observations: Systematic and planned watching of behavior
Triangulation: Using multiple methods or data sources to validate research findings
Quasi-Experimental: A research design with some experimental features but lacking full control
Quasi-Experimental: A research design with some experimental featers but lacking full control
Pretest-Posttest Comparison Group Design: A quasi-experimental design involving measurment before and after treatment with a comparison group