Quantitative Research Instruments

What is the purpose of data collection techniques in quantitative research?

• To gather numerical data for statistical analysis.

• To write poetry

• To predict the weather

• To bake cookies

Give an example of a data collection instrument used in quantitative research.

• Observation checklist

• Survey questionnaire

• Focus group guide

• Interview script

Explain the difference between primary and secondary data collection techniques.

• Primary data collection involves gathering data indirectly from the source for the first time.

• Primary data collection involves using existing data that has already been collected by someone else.

• Secondary data collection involves gathering data directly from the source for the first time.

• Primary data collection involves gathering data directly from the source for the first time, while secondary data collection involves using existing data that has already been collected by someone else.

What are some common quantitative instruments used in research studies?

• Interviews

• Surveys, questionnaires, experiments, observational studies

• Literature reviews

• Case studies

How does a Likert scale help in quantitative data collection?

• A Likert scale is not suitable for data analysis.

• A Likert scale helps in quantitative data collection by assigning numerical values to responses, allowing for statistical analysis and measurement of attitudes or opinions.

• A Likert scale is used to collect only binary data.

• A Likert scale helps in qualitative data collection by measuring physical characteristics.

Discuss the importance of validity and reliability in quantitative research instruments.

• Validity and reliability are not important in quantitative research instruments

• Inaccurate and inconsistent data collection is acceptable in quantitative research

• Validity and reliability are crucial in quantitative research instruments to ensure accurate and consistent data collection.

• Quantitative research instruments do not require accurate data collection

What is the role of surveys in quantitative research data collection?

• Surveys help in collecting qualitative data

• Surveys are used to analyze data from a small sample size

• Surveys are not relevant in quantitative research

• Surveys help in collecting numerical data from a large sample size for statistical analysis.

Describe the process of using structured interviews as a data collection technique.

• Asking different questions to each participant

• Using untrained interviewers

• The process of using structured interviews as a data collection technique involves standardized questions, trained interviewers, consistent data collection, and systematic analysis.

• Randomly collecting data without a structured approach

How can observational studies be used as a quantitative data collection method?

• Qualitative observational studies involve collecting numerical data to analyze relationships between variables.

• Observational studies are only used for qualitative data collection.

• Quantitative observational studies do not involve numerical data analysis.

• Quantitative observational studies involve collecting numerical data to analyze relationships between variables.

Explain the concept of sampling in quantitative research and its significance.

• Sampling in quantitative research has no impact on the validity of the study.

• Sampling in quantitative research involves selecting the most extreme cases to study.

• Sampling in quantitative research is the process of selecting a subset of individuals or items from a larger population to represent it. It is significant as it allows researchers to draw conclusions about the population without studying every single unit, saving time and resources.

• Sampling in quantitative research is only necessary for qualitative studies.