Unit Three - Research Design

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Unit Three - Research Design

Research Design

For construction of a house or car, we need to have a proper blueprint prepared by an expert architect. Similarly, we need a proper research design or plan prior to data collection and analysis of our research project.

Research Design

Research design is the overall plan or structure that guides a study.

It defines how data will be collected, analyzed, and interpreted to fill the gaps and achieve the research objectives.

A not so good research design

One. Exploratory Research Design

Two. Descriptive Research Design

Types of Research Design

Four. Correlational Research Design

Types of Research Design

Problem Statement

Writing a Problem Statement

Research Gap

Research Gap-Types

Need of the Study

Need of the Study- Example

Scope of the Study

Rationale of the Study

Research Questions

Research Questions - Example

Research Objectives

Literature review- Type

Research Hypothesis-Types

Hypothesis

Hypothesis writing style

Hypothesis

Sample

Population / Sample

POPULATION VS SAMPLE in Statistics

Key Differences

Research Design -?

Sampling methods

A. Probability sampling / Random sampling

Three. Stratified Sampling

A. Probability sampling / Random sampling Three. Stratified Random Sampling Example:

Four. Cluster Random Sampling

Evaluating Public health programs in Rural areas

Single-stage Cluster Sampling

Convenience Sampling

One. Convenience Sampling

Two. Purposive Sampling

Three. Snowball Sampling

The Snowball Effect

Four. Quota Sampling

Difference

Data collection methods

A. Survey Method

Data collection methods

B. Interview Method

Data collection methods

C. Observation Method

Data collection methods

D. Focus Group Discussion

Data collection methods

E. Experiment Method

Data collection methods

A. Internal Sources

Data collection tools or Research Tools

Analysis tools-

Data collection tools or Research Tools

Data, Data types and sources

Classification Basis

Quantitative, Qualitative

Data types - Classification

Data types - Classification Based on Source

Data types- Classification based on Nature

Characteristics:

Examples:

Data types- Classification based on time

Two. Time-Series Data

Data types- Classification based on Format

One. Nominal Data

Data types- Classification based on Measurement

Two. Ordinal Data

Data types- Classification based on Measurement

Data- Categorical Data

Data-

Three. Interval Data

Data types- Classification based on Measurement

Four. Ratio Data

Mathematical Operation

Data types- Classification based on Measurement

Data types- Discrete and Continuous

Data Analysis Tools- Qualitative

Overview

The document serves as a comprehensive guide to understanding research design, detailing different methodologies and their applications in academic research. It aims to equip researchers with the knowledge necessary to effectively plan and conduct studies.

Key Points

1Research design is crucial for guiding data collection and analysis
2Different types of research design include exploratory, descriptive, experimental, and correlational
3A strong problem statement is essential for addressing research issues
4Understanding research gaps informs the significance and need for studies
5Clearly defined research questions and objectives enhance study focus and direction

Details

Category: Education

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