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Answer (1)
Answer:Okay, here are the answers to the questions 1-5 on the worksheet: 1. What is quantitative research? Quantitative research is a systematic investigation that uses numerical data to answer research questions. It involves collecting and analyzing numerical data to identify patterns, relationships, and trends. 2. What are the characteristics of quantitative research? Here are some key characteristics of quantitative research: - Objective: Quantitative research aims to be objective and unbiased. Researchers strive to minimize personal opinions and interpretations.- Structured: Quantitative research follows a structured and predetermined plan, with specific procedures and data collection methods.- Numerical Data: It relies on numerical data, such as numbers, percentages, and statistics, to analyze and interpret findings.- Generalizable: Findings from quantitative research can often be generalized to larger populations, as long as the sample is representative.- Statistical Analysis: Data is analyzed using statistical techniques to identify patterns and relationships. 3. Discuss the strengths of quantitative research. Quantitative research has several strengths: - Objectivity: It aims to be objective and unbiased, reducing the influence of personal opinions.- Generalizability: Findings can often be generalized to larger populations, making them applicable to wider contexts.- Statistical Analysis: Statistical techniques allow for precise and rigorous analysis of data, leading to reliable results.- Replication: Quantitative studies can be replicated by other researchers, enhancing the reliability and validity of findings. 4. Discuss the weaknesses of quantitative research. Despite its strengths, quantitative research also has limitations: - Limited Context: It may not capture the nuances and complexities of human experiences or social phenomena.- Potential Bias: While aiming for objectivity, potential biases can still exist in the research design or data collection.- Oversimplification: Quantitative research can sometimes oversimplify complex issues by focusing solely on numerical data.- Limited Understanding of "Why": It may not fully explain the underlying reasons or motivations behind observed patterns. 5. Describe each type of quantitative design and give one (1) example for each kind. Here are some common types of quantitative designs: A. Descriptive Design: - Description: Descriptive design aims to describe the characteristics of a population or phenomenon. It focuses on gathering data to describe the current state of affairs.- Example: A survey to determine the average age of students in a particular school. B. Correlational Design: - Description: Correlational design examines the relationship between two or more variables. It seeks to determine if there is a correlation (association) between them.- Example: A study to investigate the relationship between hours of study and exam scores. C. Experimental Design: - Description: Experimental design involves manipulating an independent variable to observe its effect on a dependent variable. It aims to establish cause-and-effect relationships.- Example: A study to test the effectiveness of a new medication by comparing a treatment group with a control group. D. Quasi-Experimental Design: - Description: Quasi-experimental design is similar to experimental design but lacks random assignment of participants to groups. It uses existing groups or naturally occurring variations.- Example: A study comparing the academic performance of students in two different schools with different teaching methods.
