"Research design refers to the overall strategy utilized to carry out research that defines a succinct and logical plan to tackle established research question(s) through the collection, interpretation, analysis, and discussion of data."
The method and plan used to conduct a research project.
Introduction to Research Design: This topic covers the basics of research design, its purpose, and its importance in social work research.
Types of Research Design: This topic discusses the different research designs, including experimental, quasi-experimental, and correlational designs.
Research Hypotheses and Questions: This topic describes how to formulate research hypotheses and questions that guide the research process.
Sampling Methods: This topic explains different sampling techniques, including probability and non-probability sampling, sampling bias, and sample size.
Data Collection Methods: This topic covers the methods of collecting data, including surveys, interviews, observational studies, focus groups, and case studies.
Data Analysis: This topic explains the different methods of data analysis, including qualitative and quantitative methods, statistical analysis, and content analysis.
Ethics in Research: This topic covers ethical issues in social work research, including informed consent, confidentiality, and participant safety.
Validity and Reliability: This topic addresses the concepts of validity and reliability in research, including ways to establish them.
Mixed-Methods Research: This topic covers the combination of both qualitative and quantitative research methods and how to use them in social work research.
Reporting Results: This topic describes how to report research results accurately and professionally with appropriate formats and styles.
Critical Appraisal of Research: This topic explains how to evaluate the quality of research papers.
Evaluation Design: This topic describes the fundamentals of evaluation design, a systematic process used to assess the effectiveness of programs, policies, and practices.
Measurement and Measurement Tools: This topic covers the different types of measurement tools, including surveys, assessments, and standardized tests.
Data Collection Strategies: This topic explains various data collection strategies employed in social program evaluation, including surveys, questionnaires, interviews, focus groups, observations, and document analysis.
Sampling Strategies: This topic delineates the different sampling strategies used in evaluation work, including probability sampling, cluster sampling, and convenience sampling.
Qualitative and Quantitative Data Analysis: This topic describes the methods for analyzing qualitative and quantitative data that commonly used in evaluation work, including narrative analysis and statistical analysis.
Evaluability Assessment: This topic explains what "evaluability assessment" is and why it is important in designing evaluation studies.
Logic Models: This topic covers the use of logic models, visual or graphic representations of the inputs, activities, outputs, outcomes, and impact of a program.
Measurement and Measurement Tools: Describes the different types of measurement tools and terms like reliability, validity and similar concepts.
Randomized Control Trials: Involves randomizing different people to receive different treatments, usually to test the effectiveness of an intervention.
Longitudinal Research: Is a type of research that examines changes in individuals over time.
Experimental design: This design involves manipulating one or more variables to observe the effect on the outcome variable. It allows researchers to determine cause-and-effect relationships between variables.
Quasi-experimental design: This type of design involves manipulation of one or more variables, but lacks random assignment to groups. Therefore, cause-and-effect relationships cannot be definitively determined.
Correlational design: In this type of design, the relationship between two or more variables is studied. These variables are observed and measured, but not manipulated.
Survey design: This design involves collecting data from a sample of individuals using questionnaires, interviews, or other methods. This is often used to collect data on opinions, attitudes, and beliefs.
Case study design: This design involves in-depth study of specific cases or situations. It seeks to understand the unique features of a case and the context in which it occurs.
Longitudinal design: This design involves tracking subjects over time to observe changes and growth in behavior or development. It may involve repeated measures of the same variables or the collection of data at multiple time points.
Cross-sectional design: This design involves collecting data from a sample of individuals at a single point in time. It allows researchers to make comparisons between groups, but cannot identify changes over time.
Action research design: This type of design involves collaboration with stakeholders to identify and address specific problems in a particular context. It aims to improve practice through problem-solving and evaluation.
Mixed methods design: In this type of design, both qualitative and quantitative methods are used to collect and analyze data. It allows researchers to gather more comprehensive and nuanced data.
Participatory design: This design involves working with community members and stakeholders to define research questions, design studies, and interpret results. It aims to prioritize community involvement and empowerment.
"Incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge (see epistemology) and reality (see ontology), often shaped by the disciplinary areas the researcher belongs to."
"...often shaped by the disciplinary areas the researcher belongs to."
"The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent and dependent variables, experimental design, and, if applicable, data collection methods and a statistical analysis plan."
"The design of a study defines the study type, research problem, hypotheses, independent and dependent variables, experimental design, and, if applicable, data collection methods and a statistical analysis plan."
"A research design is a framework that has been created to find answers to research questions."
"...defines a succinct and logical plan to tackle established research question(s) through the collection, interpretation, analysis, and discussion of data."
"Incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge (see epistemology)..."
"Incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the... reality (see ontology)..."
"The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type..."
"The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic)..."
"...if applicable, data collection methods..."
"...and, if applicable, a statistical analysis plan."
"The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent and dependent variables, experimental design..."
"The design of a study... defines... hypotheses..."
"The design of a study defines... independent and dependent variables..."
"The design of a study defines... experimental design..."
"The design of a study defines... interpretation..."
"The design of a study defines... analysis..."
"The design of a study defines... discussion..." (Please note that the provided quotes are edited versions of the original paragraph to fit within the word limit for a single response.)