Understanding Predictor and Criterion Variables
24 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Which variable is typically influenced by predictor variables?

  • Independent variable
  • Extraneous variable
  • Criterion variable (correct)
  • Confounding variable

    • Qualitative variables can be expressed in numerical form.

    False

    What are the two classifications of quantitative variables?

    Discrete and continuous variables

    Extraneous variables become __________ variables if they influence the study but are not controlled.

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

    Match the following types of variables with their definitions:

    <p>Discrete Variables = Countable whole numbers Qualitative Variables = Descriptions or categories Extraneous Variables = Factors that may influence the outcome Criterion Variables = Variables influenced by predictor variables</p> Signup and view all the answers

    Which of the following is an example of a discrete variable?

    <p>Number of cars in a parking lot</p> Signup and view all the answers

    Continuous variables can take on any value within a range.

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

    Name one example of an extraneous variable that might affect a study on fertilizer effects.

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

    Which of the following is NOT a characteristic of quantitative research?

    <p>Subjective data analysis</p> Signup and view all the answers

    Qualitative research is primarily focused on collecting numerical data.

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

    What is a phenomenon in research?

    <p>An existing or observable fact or situation.</p> Signup and view all the answers

    Quantitative research uses __________ collected and statistically analyzed data.

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

    Match the following terms with their definitions:

    <p>Discrete Variable = A variable that can take a finite number of values. Continuous Variable = A variable that can take any value within a given range. Qualitative Variable = A variable that represents categories or qualities. Quantitative Variable = A variable that represents numerical values or counts.</p> Signup and view all the answers

    Which of the following is a strength of quantitative research?

    <p>Reliability of the data</p> Signup and view all the answers

    Quantitative research can be replicated to enhance its validity.

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

    What is the main purpose of collecting a large sample size in quantitative research?

    <p>To obtain more meaningful statistical results.</p> Signup and view all the answers

    Which type of qualitative variable consists of only two distinct categories?

    <p>Dichotomous Variables</p> Signup and view all the answers

    Interval variables have an absolute zero point.

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

    What is a research gap?

    <p>An under or unexplored area of a topic that requires further exploration.</p> Signup and view all the answers

    The part of the paper where you inform the reader of the context of the study is called the ______.

    <p>background of the study</p> Signup and view all the answers

    Which of the following is an example of a ratio variable?

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

    Match the following variable types with their descriptions:

    <p>Nominal Variables = Represent categories that cannot be ordered Ordinal Variables = Represent categories that can be ordered Interval Variables = Have values along an evenly dispersed range without an absolute zero Ratio Variables = Have values along an evenly dispersed range with an absolute zero</p> Signup and view all the answers

    Continuous variables can only take whole number values.

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

    What are the two main types of discrete variables?

    <p>Nominal Variables and Ordinal Variables</p> Signup and view all the answers

    Study Notes

    Variables in Research

    • Predictor Variables: Influence or change another variable; equivalent to independent variables in non-experimental studies.
    • Criterion Variables: Influenced by predictor variables; akin to dependent variables in non-experimental contexts.
    • Extraneous Variables: Independent variables not controlled by the researcher; if uncontrolled, they can become confounding variables, affecting study outcomes.
    • Examples of Extraneous Variables: Factors such as sunlight, atmosphere, and temperature can unintentionally influence an experiment's results.

    Types of Variables

    • Quantitative Variables: Numeric and measurable; divided into discrete and continuous variables.

      • Discrete Variables: Countable whole numbers, cannot take negative values or values between fixed points (e.g., number of students).
      • Continuous Variables: Can take fractional values and include infinite ranges (e.g., height, weight).

    • Qualitative Variables: Categorical and describe characteristics; further divided into:

      • Nominal Variables: Unordered categories (e.g., types of fruit).
      • Ordinal Variables: Ordered categories (e.g., rankings).
      • Dichotomous Variables: Two distinct categories (e.g., yes/no).

    Research Design

    • Background of the Study: Provides context for the research; includes the literature review and justification of the research gap.
    • Research Gap: An unexplored area in the research topic needing further investigation; can involve variables, population, methodology, or test subjects.

    Research Methodologies

    • Qualitative Research: Narrative descriptions, focusing on small samples; not generalizable to the broader population.
    • Quantitative Research: Employs statistically analyzed data to study observable phenomena; focuses on numerical data collection through scientific methods.

    Characteristics of Quantitative Research

    • Large Sample Size: Ensures more meaningful statistical results.
    • Objectivity: Data collection is unbiased and the analysis is unaffected by personal opinions.
    • Visual Data Presentation: Numerical data displayed via graphs, charts, and tables for clarity.
    • Efficient Data Analysis: Statistical tools allow for quicker data interpretation.
    • Generalizability: Sample data can be applied to the wider population when sampling is conducted correctly.
    • Fast Data Collection: Can be quick depending on the required data type.
    • Reliability: Data collected representatively enhances credibility for decision-making.
    • Replication: Methods can be repeated to confirm findings, reinforcing validity.

    Strengths and Weaknesses of Quantitative Research

    • Strengths: Provides clear, numerical data that can be statistically analyzed, offering robust insights and reproducibility.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Related Documents

    PR2 reviewer L1-2.docx

    Description

    This quiz covers the concepts of predictor and criterion variables in non-experimental studies. Learn the distinctions between these variables and their roles as independent and dependent variables. Test your knowledge on quantitative variables and their importance in research.

    More Like This

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser