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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.