Match List I with List II

List I		List II
Research forms		Description
(A)	Qualitative Research	(I)	File drawer problem
(B)	Quantitative Research	(II)	Convergence of findings based  multiple methods
(C)	Triangulation	(III)	Statistical analysis
(D)	Metaanalysis	(IV)	Interpretive

Choose the correct answer from the options given below:

Qualitative Research

• Qualitative method is used to understand people's beliefs, experiences, attitudes, behavior, and interactions.
• It generates non-numerical data, and interpretive in nature
• The integration of qualitative research into intervention studies is a research strategy that is gaining increased attention across disciplines.
• Six common qualitative designs are phenomenological, ethnographic, grounded theory, historical, case study, and action research. 

• The process of gathering and analysis of statistical data is known as quantitative research.
• It can be used to identify trends and averages, formulate hypotheses, examine causality, and extrapolate findings to larger populations.

• It has the convergence of findings based on different methods.
• The term "triangulation" describes the use of several techniques or data sources in qualitative research to create a thorough understanding of events.
• The convergence of data from several sources has also been seen as a qualitative research technique known as triangulation, which tests validity.
• In research, triangulation refers to addressing a research subject using a variety of datasets, approaches, ideas, and/or researchers.
• It's a research technique that can improve the validity and reliability of your conclusions and lessen the impact of any research biases in your work.

• It has a file drawer problem.
• Meta-analysis is a quantitative, formal, epidemiological study methodology that is employed to quantitatively and methodically evaluate the findings of earlier research to draw conclusions about that body of research.
• The research is frequently, but not always, based on randomised, controlled clinical trials. Statistical models with fixed effects or random effects are both used in meta-analyses.
• A fixed-effects meta-analysis makes the assumption that all studies are estimating the same (fixed) treatment impact, whereas a random-effects meta-analysis allows for variations in the treatment effect between studies.