Master this deck with 20 terms through effective study methods.
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The primary aim of a research study is to investigate a specific problem or question, gather data, and draw conclusions based on the findings. This often involves testing hypotheses or exploring relationships between variables.
The independent variable (IV) is the factor that is manipulated or changed in an experiment, while the dependent variable (DV) is the outcome that is measured to assess the effect of the IV.
A literature review serves to gather background information on a topic, identify gaps in existing research, and provide context for the current study. It helps to support the research question and methodology.
The three types of research designs are descriptive, comparative, and correlational. Descriptive research aims to describe characteristics, comparative research examines differences between groups, and correlational research explores relationships between variables.
Typically, a research study involves 30 to 50 student respondents. This sample size is often sufficient to gather meaningful data while allowing for statistical analysis.
Ethics in research are guidelines that ensure the responsible conduct of research, promoting integrity, objectivity, and respect for participants. They help protect the rights of participants and maintain the credibility of the research.
Informed consent is the process of obtaining voluntary agreement from participants to take part in a study, ensuring they are fully aware of the nature, risks, and benefits of the research.
Objectivity in research involves avoiding bias and focusing solely on the research goals. It ensures that the findings are based on factual data rather than personal opinions or preconceived notions.
Thematic analysis is a method used in qualitative research to identify, analyze, and report patterns (themes) within data. It helps to interpret various aspects of the research topic and provides insights into participants' experiences.
Qualitative research aims to understand individual experiences and feelings through non-numerical data, while quantitative research tests hypotheses using numerical data and statistical analysis.
Common statistical tools in quantitative research include mean (average), percentage, standard deviation, t-tests, and Pearson r. These tools help analyze data and draw conclusions from research findings.
Closed-ended questions are used in research to gather specific, quantifiable data that can be easily analyzed statistically. They limit responses to predefined options, making data collection more straightforward.
Replicability is crucial in research as it allows other researchers to repeat the study and verify the results. This enhances the credibility and reliability of the findings.
Conducting a systematic investigation means following a structured and methodical approach to research, ensuring that all steps are carefully planned and executed to obtain valid and reliable results.
Carefulness in research ethics involves maintaining accurate records of all research activities and being critical of the data collected. It ensures that the research process is transparent and accountable.
Responsible publication is important as it ensures that research findings are shared to advance knowledge and scholarship. It involves publishing results honestly and ethically, contributing to the academic community.
Open-ended questions are used in qualitative research to allow participants to express their thoughts and feelings in their own words. This approach provides richer, more detailed data that can lead to deeper insights.
Inductive reasoning involves starting with observations and developing a theory based on the data collected, while deductive reasoning begins with a hypothesis and tests it against observations to validate or refute the theory.
Confidentiality in research involves protecting the privacy of participants and ensuring that their personal information is not disclosed without consent. It is a fundamental ethical principle that fosters trust in the research process.
Data analysis in research is the process of systematically applying statistical or thematic methods to interpret the collected data. It helps to identify patterns, relationships, and insights that inform conclusions and recommendations.