Quantitative Research Characteristics

What is the main focus of quantitative research?

• Conducting experiments

• Analyzing qualitative data

• Quantifying data and generalizing results

• Subjective interpretation

What type of data is typically used in quantitative research?

• Numerical data

• Ordinal data

• Qualitative data

• Categorical data

What is the purpose of statistical analysis in quantitative research?

• The purpose of statistical analysis in quantitative research is to summarize data, identify patterns, test hypotheses, and make predictions.

• The purpose of statistical analysis in quantitative research is to confuse researchers

• The purpose of statistical analysis in quantitative research is to make the data less reliable

• The purpose of statistical analysis in quantitative research is to create random results

Why is random sampling important in quantitative research?

• Random sampling is unnecessary and adds complexity to the research process

• Random sampling leads to biased results and inaccurate conclusions

• Random sampling helps ensure the sample is representative of the population, reducing bias and allowing for generalizability of results.

• Random sampling ensures the researcher can control the outcome of the study

What is the role of variables in quantitative research?

• Variables in quantitative research are only relevant for qualitative studies.

• Variables in quantitative research help measure, manipulate, and analyze data to establish relationships and test hypotheses.

• Variables in quantitative research are used for decoration purposes only.

• Variables in quantitative research have no impact on the data analysis process.

How is reliability assessed in quantitative research?

• Face validity, Concurrent validity, Construct validity

• Reliability in quantitative research is assessed through measures such as test-retest reliability, internal consistency reliability, and inter-rater reliability.

• Content validity, Criterion validity, External validity

• Nomological validity, Predictive validity, Convergent validity

What is the difference between descriptive and inferential statistics in quantitative research?

• Descriptive statistics are used in experiments; inferential statistics are used in observational studies.

• Descriptive statistics analyze qualitative data; inferential statistics analyze quantitative data.

• Descriptive statistics summarize data; inferential statistics make predictions.

• Descriptive statistics predict outcomes; inferential statistics summarize data.

What are some common research designs used in quantitative research?

• experimental design, correlational design, survey research, quasi-experimental design

• case study design

• longitudinal design

• observational design

How is validity established in quantitative research?

• Validity in quantitative research is established through methods such as internal validity, external validity, construct validity, and statistical conclusion validity.

• Validity in quantitative research is established through qualitative data analysis

• Validity in quantitative research is determined by the number of participants in the study

• Validity in quantitative research is irrelevant compared to qualitative research

What is the importance of control in quantitative research?

• Control does not impact the validity of research findings

• Control only applies to qualitative research

• Control is not necessary in quantitative research

• Control in quantitative research is important to minimize confounding variables and establish a clear cause-and-effect relationship between the independent and dependent variables.