Qualitative research design and its type

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1. What is Quantitative Research?
Quantitative research stands as a powerful research methodology dedicated to the
systematic collection and analysis of measurable data. Through rigorous statistical and
mathematical techniques, this method extracts insights from structured surveys, controlled
experiments, or other defined data-gathering methods.
The primary objective of quantitative research is to measure and quantify variables,
relationships, and patterns within the dataset. By testing hypotheses, making predictions, and
drawing generalizable conclusions, it plays a crucial role in fields such as psychology,
sociology, economics, and education. This approach often involves significant sample sizes,
ensuring robust results.
Explore the depth of quantitative research with this comprehensive guide, offering practical
examples and applications to demonstrate its real-world impact. Stay updated with the latest
trends and developments in quantitative research as we continually refine our insights to
provide you with the most relevant and cutting-edge information.
Quantitative Research: Key Characteristics
Below are the key characteristics of quantitative research:
Objectivity: Quantitative research is grounded in the principles of objectivity and
empiricism, which means that the research is focused on observable and measurable
phenomena, rather than personal opinions or experiences.
Structured approach: Quantitative research follows a structured and systematic
approach to data collection and analysis, using clearly defined variables, hypotheses,
and research questions.
Numeric data: Quantitative research uses numerical data to describe and analyze
the phenomena under study, such as statistical analysis, surveys, and experiments.
Large sample size: Quantitative research often involves large sample sizes to ensure
statistical significance and to generalize findings to a larger population.
Standardized data collection: Quantitative research typically involves standardized
data collection methods, such as surveys or experiments, to minimize potential
sources of bias and increase reliability.
Deductive reasoning: Quantitative research uses deductive reasoning, where the
researcher tests a specific hypothesis based on prior knowledge and theory.
Replication: Quantitative research emphasizes the importance of replication, where
other researchers can reproduce the study’s methods and obtain similar results.

2. Statistical analysis: Quantitative research involves statistical analysis to analyze the
data and test the research hypotheses, often using software programs to assist with
data analysis.
Precision: Quantitative research aims to be precise in its measurement and analysis
of data. It seeks to quantify and measure the specific aspects of a phenomenon being
studied.
Generalizability: Quantitative research aims to generalize findings from a sample to
a larger population. It seeks to draw conclusions that apply to a broader group beyond
the specific sample being studied.