Exploring the fundamentals of research design in psychology, this overview covers experimental methods, qualitative and quantitative approaches, and data collection techniques. It delves into the objectives of research design, different experimental settings, the use of interviews and questionnaires, case studies, and observational research. The text emphasizes the importance of a structured framework to ensure the integrity and reliability of psychological studies.
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Research design in psychology is a structured framework that guides the processes of data collection, analysis, and interpretation in scientific studies
The design is customized to the study's specific objectives, taking into account the research hypothesis, participant characteristics, and context
A robust research design is crucial for ensuring the integrity and reliability of a study's findings
Quantitative research involves collecting numerical data through standardized instruments such as surveys to address research questions
Qualitative research focuses on gathering descriptive data through methods like interviews and observations to gain insights into a research topic
Experimental research involves manipulating independent variables and observing their effects on dependent variables to test causal hypotheses
Experimental designs can include between-subjects, within-subjects, and matched-pairs designs, depending on factors such as the research hypothesis and feasibility of manipulation
Experiments can be conducted in laboratory, field, or natural settings, each with its advantages and limitations
Interviews, questionnaires, case studies, and observational research are other commonly used methods in psychological research
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The integrity and reliability of a study's findings are ensured by a ______ design that is tailored to the study's specific ______, hypothesis, and participant characteristics.
research
aims
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Objective of Research Design
Provides strategy to address research questions effectively.
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Role of Data Collection/Analysis in Research Design
Critical for study validity; must align with design for accurate conclusions.
