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RESEARCH
METHODOLOGY
QUARTER 2: LAS 1
RESEARCH DESIGNS
• Serves as the “blue print” of the study.
• These are the specific procedures involved in the
research process: sampling, data collection, and data
analysis.
• The design becomes the basis for determining what
data will be collected and how they will be analyzed
and interpreted.
• A good research requires a good design.
• The use of an appropriate design minimizes the occurrence of error
in the conduct of the study and in the conclusions drawn from the
study.
TECHNIQUES AND
TYPES OF STUDIES
SURVEY RESEARCH
• It is the most fundamental tool for all quantitative outcome
research methodologies and studies.
• Surveys used to ask questions to a sample of respondents, using
various types such as online polls, online surveys, paper
questionnaires, web-intercept surveys, etc.
• It can be conducted with a specific target audience group and also
can be conducted across multiple groups along with comparative
analysis.
TWO TYPES OF SURVEYS
• Cross-sectional surveys
• These are observational surveys conducted in situations where the researcher intends
to collect data from a sample of the target population at a given point in time.
• Are popular with retail, SMEs (Small and Mid-size Enterprise), healthcare industries.
• Longitudinal surveys
• These are also observational surveys but, unlike cross-sectional surveys, longitudinal
surveys are conducted across various time durations to observe a change in
respondent behavior and thought-process.
• Are extensively used in the field of medicine and applied sciences. They are also used
to observe a change in the market trend, analyze customer satisfaction, or gain
feedback on products/services.
CORRELATIONAL RESEARCH
• A comparison between two entities is invariable (never changing).
• It is conducted to establish a relationship between closely-knit entities
and how one impacts the other and what are the changes that are
eventually observed.
• Researchers use this quantitative research design to correlate two or more
variables using mathematical analysis methods.
• Examples:
• The relationship between stress and depression.
• The equation between fame and money.
CAUSAL-COMPARATIVE RESEARCH
• This research method mainly depends on the factor of comparison.
• Also called quasi-experimental research, this quantitative research
method is used by researchers to conclude the cause-effect
equation between two or more variables, where one variable is
dependent on the other independent variable.
• Example of Causal-Comparative Research Questions:
• The impact of drugs on a teenager.
• The effect of good education on a freshman.
EXPERIMENTAL RESEARCH
• Also known as true experimentation, this research
method is reliant on a theory.
• It is an analysis done around proving or disproving a
statement.
• This research method is used in natural sciences.
SHORT QUIZ

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Research methodology.pptx

  • 2. RESEARCH DESIGNS • Serves as the “blue print” of the study. • These are the specific procedures involved in the research process: sampling, data collection, and data analysis. • The design becomes the basis for determining what data will be collected and how they will be analyzed and interpreted.
  • 3. • A good research requires a good design. • The use of an appropriate design minimizes the occurrence of error in the conduct of the study and in the conclusions drawn from the study.
  • 5. SURVEY RESEARCH • It is the most fundamental tool for all quantitative outcome research methodologies and studies. • Surveys used to ask questions to a sample of respondents, using various types such as online polls, online surveys, paper questionnaires, web-intercept surveys, etc. • It can be conducted with a specific target audience group and also can be conducted across multiple groups along with comparative analysis.
  • 6. TWO TYPES OF SURVEYS • Cross-sectional surveys • These are observational surveys conducted in situations where the researcher intends to collect data from a sample of the target population at a given point in time. • Are popular with retail, SMEs (Small and Mid-size Enterprise), healthcare industries. • Longitudinal surveys • These are also observational surveys but, unlike cross-sectional surveys, longitudinal surveys are conducted across various time durations to observe a change in respondent behavior and thought-process. • Are extensively used in the field of medicine and applied sciences. They are also used to observe a change in the market trend, analyze customer satisfaction, or gain feedback on products/services.
  • 7.
  • 8. CORRELATIONAL RESEARCH • A comparison between two entities is invariable (never changing). • It is conducted to establish a relationship between closely-knit entities and how one impacts the other and what are the changes that are eventually observed. • Researchers use this quantitative research design to correlate two or more variables using mathematical analysis methods. • Examples: • The relationship between stress and depression. • The equation between fame and money.
  • 9. CAUSAL-COMPARATIVE RESEARCH • This research method mainly depends on the factor of comparison. • Also called quasi-experimental research, this quantitative research method is used by researchers to conclude the cause-effect equation between two or more variables, where one variable is dependent on the other independent variable. • Example of Causal-Comparative Research Questions: • The impact of drugs on a teenager. • The effect of good education on a freshman.
  • 10. EXPERIMENTAL RESEARCH • Also known as true experimentation, this research method is reliant on a theory. • It is an analysis done around proving or disproving a statement. • This research method is used in natural sciences.
  • 11.