Research Methods and Designs
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Questions and Answers

What type of research focuses on non-numerical data and explores attitudes, behaviors, and motivations?

  • Quantitative Research
  • Survey Research
  • Qualitative Research (correct)
  • Experimental Design
  • Which research design manipulates one or more variables and controls for extraneous variables?

  • Case Study
  • Experimental Design (correct)
  • Content Analysis
  • Quasi-Experimental Design
  • What type of data is collected directly by the researcher through experiments, surveys, or observations?

  • Secondary Data
  • Quantitative Data
  • Primary Data (correct)
  • Qualitative Data
  • What data analysis technique summarizes and describes the basic features of the data?

    <p>Descriptive Statistics</p> Signup and view all the answers

    Which ethical consideration involves protecting participants' personal information and ensuring anonymity?

    <p>Privacy and Confidentiality</p> Signup and view all the answers

    What research design is an in-depth examination of a single case or a small number of cases?

    <p>Case Study</p> Signup and view all the answers

    What data collection method involves collecting data through self-report measures, such as questionnaires or interviews?

    <p>Self-Report Methods</p> Signup and view all the answers

    What type of research seeks to quantify and generalize findings and uses statistical analysis to identify patterns and trends?

    <p>Quantitative Research</p> Signup and view all the answers

    Study Notes

    Types of Research

    • Qualitative Research: focuses on non-numerical data, explores attitudes, behaviors, and motivations, and seeks to understand phenomena in depth.
    • Quantitative Research: focuses on numerical data, seeks to quantify and generalize findings, and uses statistical analysis to identify patterns and trends.

    Research Designs

    • Experimental Design: manipulates one or more variables, measures the effect, and controls for extraneous variables.
    • Quasi-Experimental Design: lacks control over extraneous variables, but attempts to establish cause-and-effect relationships.
    • Survey Research: collects data through self-report measures, such as questionnaires or interviews.
    • Case Study: in-depth examination of a single case or a small number of cases.
    • Content Analysis: analyzes texts, images, or videos to identify patterns and themes.

    Data Collection Methods

    • Primary Data: collected directly by the researcher through experiments, surveys, or observations.
    • Secondary Data: collected from existing sources, such as literature reviews, databases, or archives.
    • Observational Methods: participant observation, non-participant observation, and case studies.
    • Self-Report Methods: surveys, questionnaires, interviews, and focus groups.

    Data Analysis Techniques

    • Descriptive Statistics: summarizes and describes the basic features of the data.
    • Inferential Statistics: makes inferences about a population based on a sample of data.
    • Thematic Analysis: identifies and codes patterns and themes in qualitative data.
    • Content Analysis: quantifies and analyzes the content of texts, images, or videos.

    Research Ethics

    • Informed Consent: participants are aware of the research purpose, risks, and benefits.
    • Privacy and Confidentiality: protects participants' personal information and ensures anonymity.
    • Deception: avoids deceiving participants, unless necessary for the research purpose.
    • Risk and Harm: minimizes risks and harm to participants.

    Research Quality and Validity

    • Internal Validity: ensures that the research design and methods are sound and free from bias.
    • External Validity: generalizes the findings to the target population.
    • Reliability: ensures consistency in the measurement and data collection process.
    • Objectivity: minimizes researcher bias and ensures a neutral perspective.

    Types of Research

    • Qualitative Research explores attitudes, behaviors, and motivations through non-numerical data, aiming to understand phenomena in-depth.
    • Quantitative Research focuses on numerical data, seeking to quantify and generalize findings, and using statistical analysis to identify patterns and trends.

    Research Designs

    • Experimental Design manipulates one or more variables, measures the effect, and controls for extraneous variables to establish cause-and-effect relationships.
    • Quasi-Experimental Design lacks control over extraneous variables but attempts to establish cause-and-effect relationships.
    • Survey Research collects data through self-report measures, such as questionnaires or interviews.
    • Case Study involves an in-depth examination of a single case or a small number of cases.
    • Content Analysis analyzes texts, images, or videos to identify patterns and themes.

    Data Collection Methods

    • Primary Data is collected directly by the researcher through experiments, surveys, or observations.
    • Secondary Data is collected from existing sources, such as literature reviews, databases, or archives.
    • Observational Methods include participant observation, non-participant observation, and case studies.
    • Self-Report Methods involve surveys, questionnaires, interviews, and focus groups.

    Data Analysis Techniques

    • Descriptive Statistics summarizes and describes the basic features of the data.
    • Inferential Statistics makes inferences about a population based on a sample of data.
    • Thematic Analysis identifies and codes patterns and themes in qualitative data.
    • Content Analysis quantifies and analyzes the content of texts, images, or videos.

    Research Ethics

    • Informed Consent ensures participants are aware of the research purpose, risks, and benefits.
    • Privacy and Confidentiality protects participants' personal information and ensures anonymity.
    • Deception should be avoided, unless necessary for the research purpose.
    • Risk and Harm should be minimized to protect participants.

    Research Quality and Validity

    • Internal Validity ensures the research design and methods are sound and free from bias.
    • External Validity allows for generalization of findings to the target population.
    • Reliability ensures consistency in the measurement and data collection process.
    • Objectivity minimizes researcher bias and ensures a neutral perspective.

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    Description

    This quiz covers the basics of research methods and designs, including qualitative and quantitative research, and experimental and quasi-experimental designs.

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