Exploring Quantitative Research

What is quantitative research design?

• Quantitative research design is primarily concerned with case studies and interviews.

• Qualitative research design focuses on subjective experiences and opinions.

• Quantitative research design is a structured approach to collecting and analyzing numerical data to understand patterns, relationships, or trends.

• Quantitative research design does not involve any statistical analysis or numerical data.

List two characteristics of quantitative research.

• Relies on personal interviews

• 1. Focus on numerical data; 2. Utilizes statistical analysis.

• Emphasizes qualitative insights

• Focuses on case studies

Explain the importance of a sampling procedure in research.

• A sampling procedure guarantees 100% accuracy in results.

• The importance of a sampling procedure in research lies in its ability to ensure representativeness, minimize bias, and enhance the validity and reliability of the study's findings.

• Sampling procedures are only necessary for qualitative research.

• The sampling procedure is irrelevant to the research outcomes.

What is the difference between probability and non-probability sampling?

• Probability sampling is more expensive; non-probability sampling is cheaper.

• Probability sampling requires fewer participants; non-probability sampling requires more participants.

• Probability sampling is always biased; non-probability sampling is always random.

• Probability sampling is random and representative; non-probability sampling is non-random and may be biased.

Define the term 'sample' in the context of research.

• A sample is a subset of a population used in research to draw conclusions about the entire population.

• A sample is the entire population studied in research.

• A sample is a random guess about the population.

• A sample is a theoretical concept with no practical application.

What is a random sampling method?

• A technique for selecting a subset of individuals from a population where each has an equal chance of being chosen.

• A method for choosing individuals based on their characteristics.

• A process that involves selecting individuals from a population in a predetermined order.

• A technique that ensures only the most qualified individuals are selected.

Describe stratified sampling and its purpose.

• Stratified sampling is a technique used to ensure that specific subgroups within a population are represented in the sample, enhancing the accuracy of the results.

• Stratified sampling is a method that randomly selects individuals from the entire population without considering subgroups.

• Stratified sampling involves selecting samples based on convenience rather than specific characteristics of subgroups.

• Stratified sampling is used to eliminate bias by only including the largest subgroup in the sample.

How does sample size affect the reliability of research results?

• Sample size has no impact on reliability.

• Sample size only affects the speed of data collection.

• Smaller sample sizes always yield more accurate results.

• Sample size affects reliability; larger sizes yield more reliable results.

What is convenience sampling and when is it used?

• Convenience sampling is a method of selecting samples based on their availability and ease of access, commonly used in exploratory research or when time and resources are limited.

• Convenience sampling involves selecting samples based on demographic characteristics.

• Convenience sampling is a method of random selection used in large-scale surveys.

• Convenience sampling is a technique used exclusively in quantitative research.

Why is it important to define the target population in research?

• It allows researchers to use a broader sample size for better results.

• It helps in determining the funding sources for the research.

• It ensures relevance and applicability of research findings to the specific group being studied.

• It simplifies the data collection process by reducing the number of variables.