Quantitative Data in Case Studies
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Quantitative Data in Case Studies

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Questions and Answers

What is one strength of descriptive research?

  • It can generate rich datasets from large samples. (correct)
  • It establishes cause-and-effect relationships.
  • It focuses only on qualitative data.
  • It requires manipulation of variables.
  • Descriptive studies can establish cause-and-effect relationships.

    False

    What is one limitation of descriptive research when it comes to respondents?

    Respondents may not be truthful or may give socially desirable responses.

    Correlational research studies the relationship between two ______.

    <p>variables</p> Signup and view all the answers

    Match the following data collection methods with their characteristics:

    <p>Naturalistic observation = Observation in real-life settings without interference Archival data = Analysis of existing records and data Surveys = Questioning participants to gather information Experiments = Manipulating variables to observe effects</p> Signup and view all the answers

    Which of the following is NOT a data collection method used in descriptive research?

    <p>Experiments</p> Signup and view all the answers

    Name one type of quantitative research mentioned in the content.

    <p>Surveys</p> Signup and view all the answers

    Descriptive research can determine the causes of a phenomenon.

    <p>False</p> Signup and view all the answers

    Match the following data collection methods with their corresponding description:

    <p>Surveys = Gathering information through questionnaires Interviews = Direct conversation to gather detailed information Observations = Recording behaviors as they occur in natural settings Case studies = In-depth exploration of a single subject or group</p> Signup and view all the answers

    Quantitative data is typically analyzed and presented using __________ statistics.

    <p>descriptive</p> Signup and view all the answers

    Study Notes

    Quantitative Data

    • Includes narrative data from case studies for organizing, classifying, and identifying behavior patterns.
    • Participants are observed in natural settings, providing authentic data collection.
    • Identifies prevalence of specific problems, guiding the need for additional services.
    • Descriptive research can highlight areas for further inquiry and relationships between variables, termed "hypothesis generating research."
    • Can generate rich datasets from large, diverse samples.

    Strengths of Descriptive Research

    • Utilizes direct observation or questioning in natural settings.
    • Highlights the frequency of problems and potential service needs.
    • Can reveal relationships among variables, generating hypotheses for future studies.
    • Captures large and varied samples for comprehensive insights.

    Limitations of Descriptive Research

    • Unable to establish causal relationships.
    • Respondent honesty may be compromised due to social desirability bias.
    • Questionnaire design and wording can affect findings.
    • Findings may lack generalizability depending on sample size and type.

    Correlational Research

    • Utilizes a non-experimental method to measure and assess the relationship between two variables.
    • No manipulation of variables occurs; relies on natural data.
    • Data collection may occur through naturalistic observation or archival methods.
    • Results are often relevant to real-life applications.
    • Acts as a conducive starting point for investigating relationships between concepts and phenomena.

    Quantitative Research Methodology

    • Based on positive natural sciences: emphasizes quantification, hypothesis testing, and statistical analysis.
    • Includes various types of studies: surveys, causal-comparative, correlational, meta-analysis, and experimental research.

    Descriptive Research

    • Describes population characteristics; answers "what," "when," and "how" but not "why."
    • Does not define causality but can reveal important relationships between variables.
    • Employs diverse data collection methods including surveys, observations, and interviews.
    • Quantitative data analysis utilizes descriptive statistics to summarize findings, such as percentages and averages.

    Field Research Overview

    • Field research involves qualitative data collection in natural environments.
    • Aims to observe and understand behaviors in social contexts.
    • Incorporates various methods: direct observation, analysis of documents, informal interviews, and surveys.
    • Combines qualitative and quantitative approaches for comprehensive research insights.

    Research Design

    • Refers to the framework for collecting and analyzing data.
    • Important components include sampling techniques, sources, and measurement variables.
    • A well-structured research design ensures effective data gathering and variance control.

    Qualitative Research

    • Historical and observational, focusing on verbal descriptions of behavior.
    • Emphasizes researcher immersion in the subject matter to gain deeper understanding.
    • Utilizes "verstehen" to enhance explanation of social realities and phenomena.

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    Description

    Explore the use of quantitative data in case studies, focusing on how narrative data can help organize and classify behaviors and characteristics of groups. This quiz highlights the strengths of studying participants in natural settings, allowing for the identification of prevalent issues and service needs.

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