Research Methodology Quiz
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Questions and Answers

What distinguishes qualitative data from quantitative data?

  • Qualitative data is fixed and universal.
  • Qualitative data is always numerical.
  • Qualitative data can be measured and counted.
  • Qualitative data is descriptive and subjective. (correct)
  • Which of the following is NOT included in the methodology?

  • Data Collection Methods
  • Justification on subject selection
  • Demographics of participants (correct)
  • Limitations that may hinder processes
  • In the context of research methodology, what is a 'sample'?

  • Randomly selected individuals from a survey.
  • A portion of the population identified for research. (correct)
  • A group of individuals with common characteristics.
  • The entire population being studied.
  • What is one major difference between probability sampling and non-probability sampling?

    <p>Probability sampling guarantees equal chances of selection.</p> Signup and view all the answers

    Which approach is largely used for analyzing qualitative data?

    <p>Grouping data into relevant themes.</p> Signup and view all the answers

    What characterizes subjects in a research study?

    <p>They are the least involved and usually in experimental studies.</p> Signup and view all the answers

    What is the primary aim of data analysis in research methodology?

    <p>To summarize, illustrate, and evaluate gathered data.</p> Signup and view all the answers

    In qualitative research, which method is primarily used for data collection?

    <p>Direct observations and interviews.</p> Signup and view all the answers

    Which statement about qualitative data is incorrect?

    <p>Qualitative data is permanently fixed and cannot change.</p> Signup and view all the answers

    What role do informants play in the research methodology?

    <p>They are experts providing guidance and information.</p> Signup and view all the answers

    Study Notes

    Research Methodology

    • A framework for investigating a research problem, detailing the actions and reasoning behind chosen procedures.

    Qualitative Research

    • Involves descriptive data, not numerical.
    • Explores the "why" and "how" behind phenomena.
    • Data is gathered through observation and interviews.
    • Analyzed by identifying themes and categories.

    Quantitative Research

    • Involves numerical data and measurements.
    • Focuses on "how many," "how much," and "how often."
    • Data is considered "factual" and universal.
    • Collected through measurement and counting.
    • Analyzed using statistical methods.

    Key Differences

    Feature Qualitative Quantitative
    Data Type Descriptive (words/language) Measurable/countable (numbers)
    Focus Understanding "why" and "how" Measuring "how many," "how much," and "how often"
    Data Collection Observations, interviews Measurements, counts
    Data Analysis Thematic/categorical grouping Statistical analysis
    Nature of Data Dynamic, subjective, open to interpretation Fixed, universal, "factual"

    Data Gathering

    • The systematic process of collecting information related to research variables.
    • Aims to answer research questions, test hypotheses, and evaluate outcomes.

    Data Analysis

    • The process of applying statistical or logical techniques to describe, condense, and evaluate data.

    Components of Methodology

    • Restatement of research problem and expected outcomes.
    • Justification of chosen methodology, subject selection, and sampling procedures.
    • Description of data collection methods.
    • Explanation of data analysis methods.
    • Identification of potential limitations.

    Population & Sample

    • Population: All individuals with relevant characteristics of interest.
    • Sample: A portion of the population studied.

    Types of Samples

    • Subjects: Least involvement, often in experiments.
    • Respondents: Survey participants.
    • Informants: Experts providing information.
    • Participants: Direct involvement, commonly in observation-based studies.

    Sampling Methods (Probability)

    • Simple Random Sampling: Every individual has an equal chance of selection.
    • Systematic Sampling: Selection follows a specific pattern (e.g., every nth individual).

    Sampling Methods (Non-Probability)

    • Convenience Sampling: Researcher selects the most readily available sample.
    • Snowball Sampling: Initial participants recruit further participants.
    • Purposive Sampling: Researchers select participants based on specific criteria.

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    Description

    Test your knowledge of research methodologies, focusing on the differences between qualitative and quantitative research. This quiz covers data types, collection methods, and analysis techniques. Perfect for students in social sciences or related fields.

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