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QUANTITATIVE RESEARCH#1
A systematic investigation that focuses on quantifying relationships, behaviors, or phenomena using statistical techniques.
DATA ANALYSIS#2
The process of inspecting, cleansing, and modeling data to discover useful information and support decision-making.
STATISTICAL SOFTWARE#3
Programs designed for data analysis, including SPSS, R, and SAS, which facilitate complex statistical computations.
EDUCATIONAL INTERVENTION#4
A structured program or strategy implemented to improve educational outcomes, assessed through quantitative methods.
RESEARCH ETHICS#5
Principles guiding the conduct of research, including integrity, respect for participants, and adherence to ethical standards.
RESEARCH QUESTION#6
A clear, focused question that guides the research process, determining what the study seeks to answer.
HYPOTHESIS#7
A testable prediction about the relationship between variables, formulated before data collection.
SAMPLING TECHNIQUES#8
Methods used to select participants from a population for a study, impacting the validity of findings.
DESCRIPTIVE STATISTICS#9
Statistical methods that summarize and describe the features of a dataset, including measures of central tendency.
INFERENTIAL STATISTICS#10
Techniques that allow conclusions to be drawn about a population based on a sample, often involving hypothesis testing.
DATA COLLECTION#11
The systematic gathering of information for analysis, using tools like surveys, interviews, or observations.
PILOT TESTING#12
A preliminary trial run of a study or instrument to identify potential issues before full-scale implementation.
VISUAL REPRESENTATIONS#13
Graphical displays of data, such as charts and graphs, that help convey complex information clearly.
LIMITATIONS#14
Factors that may affect the validity or generalizability of study findings, acknowledged in research reporting.
LITERATURE REVIEW#15
A comprehensive survey of existing research relevant to a specific topic, establishing context and justification for a study.
ETHICAL CONSIDERATIONS#16
Factors related to the moral implications of research, ensuring participant safety, consent, and data integrity.
RESEARCH DESIGN#17
The overall strategy outlining how a study will be conducted, including methodology and data collection approaches.
DATA INTERPRETATION#18
The process of making sense of collected data, determining its meaning and implications in the context of the research.
COMMUNICATION OF FINDINGS#19
The presentation of research results to various audiences, emphasizing clarity and relevance to stakeholders.
ACCURACY#20
The degree to which research findings reflect the true values or characteristics of the population being studied.
VALIDITY#21
The extent to which a study accurately measures what it intends to measure, ensuring credible results.
RELIABILITY#22
The consistency of a measure, indicating that repeated applications yield similar results.
ETHICS COMPLIANCE CHECKLIST#23
A tool used to ensure that all ethical standards and guidelines are followed throughout the research process.
ABSTRACT#24
A brief summary of a research study, highlighting the main objectives, methods, results, and conclusions.
RESEARCH PAPER STRUCTURE#25
The organized format of a research paper, typically including sections like introduction, methodology, results, and discussion.