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An Introduction to Quantitative Research Methodology and Design \ Rachel Kozicki MBA (Author)

By: Material type: TextTextPublication details: USA, Las Vegas, NV: Independently published, 2022.Description: 6 x 0.13 x 9 inchesISBN:
  • 9798831910353
LOC classification:
  • PR56 .R33 2022
Summary: This book describes quantitative research methodology and design, which is essential for any graduate student when beginning the dissertation process. The book discusses what quantitative research is and when it is appropriate to use the method, as well as its advantages and disadvantages and the difference between method and design. Additionally, quantitative research designs are discussed, including descriptive, correlational, experimental, and quasi-experimental, with further details provided regarding survey research, observation research, and case study research, as well as pre-experimental and true experimental research. Some of these details include the difference between population and sample, the difference between dependent and independent variables, the various types of data collection methods available, and the advantages and disadvantages of each design. Finally, this book looks at the various data sampling and analysis methods best suited for quantitative research, such as probability and non-probability sampling, and descriptive and inferential analysis.
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This book describes quantitative research methodology and design, which is essential for any graduate student when beginning the dissertation process. The book discusses what quantitative research is and when it is appropriate to use the method, as well as its advantages and disadvantages and the difference between method and design. Additionally, quantitative research designs are discussed, including descriptive, correlational, experimental, and quasi-experimental, with further details provided regarding survey research, observation research, and case study research, as well as pre-experimental and true experimental research. Some of these details include the difference between population and sample, the difference between dependent and independent variables, the various types of data collection methods available, and the advantages and disadvantages of each design. Finally, this book looks at the various data sampling and analysis methods best suited for quantitative research, such as probability and non-probability sampling, and descriptive and inferential analysis.

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