Research Methods: Sampling and Bias
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What term is used to describe the extent to which results can be applied beyond the sample and settings of a study?

  • Generalizability (correct)
  • Credibility
  • Bias
  • Sampling
  • Bias refers to the distortions introduced to the findings by the researcher or measurement process.

    True

    What is the process of recruiting individuals for participation in a research study called?

    Sampling

    The extent to which results of the study can be trusted to reflect reality is known as __________.

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

    Match the following terms with their definitions:

    <p>Sampling = Process of recruiting participants for a study Credibility = Trustworthiness of study results Bias = Distortions that affect study findings Generalizability = Applicability of study results beyond the sample</p> Signup and view all the answers

    What is the main feature of independent measures design?

    <p>Participants are randomly allocated to different groups</p> Signup and view all the answers

    In matched pairs design, researchers randomly allocate participants into groups without considering any characteristics.

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

    What method is used to control order effects in repeated measures design?

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

    In an independent measures design, participants only take part in one ______.

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

    Match the experimental designs with their main characteristic:

    <p>Independent Measures = Participants are randomly allocated to different groups Matched Pairs = Participants are matched based on specific attributes Repeated Measures = Same participants experience all conditions Counterbalancing = Method to control order effects</p> Signup and view all the answers

    What is a disadvantage of independent measures design?

    <p>Variability between groups can affect results</p> Signup and view all the answers

    Stratified sampling ensures the proportions of different subgroups are maintained in the sample.

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

    What is the purpose of random allocation in experiments?

    <p>To cancel out potential confounding variables</p> Signup and view all the answers

    What is one main advantage of stratified sampling?

    <p>It allows researchers to control representativeness of key characteristics.</p> Signup and view all the answers

    Convenience sampling is useful when researchers want to ensure generalization of findings.

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

    What is self-selected sampling?

    <p>Recruiting volunteers who express interest to participate.</p> Signup and view all the answers

    In stratified sampling, characteristics like age and occupation must be carefully studied and proportional representation is maintained in the ______.

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

    Which type of sampling involves recruiting participants that are readily accessible?

    <p>Convenience Sampling</p> Signup and view all the answers

    Random sampling is the only method that guarantees every member of the population has an equal opportunity to be chosen.

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

    What is a common limitation of convenience sampling?

    <p>Limited representativeness and generalization.</p> Signup and view all the answers

    Match the sampling method to its primary characteristic:

    <p>Stratified Sampling = Maintains proportions of key characteristics Convenience Sampling = Easily accessible participants Self-Selected Sampling = Participants volunteer for inclusion Random Sampling = Equal chance for all members of the population</p> Signup and view all the answers

    Which of the following best describes repeated measures design?

    <p>Participants are compared to themselves across different conditions.</p> Signup and view all the answers

    Internal validity is concerned with the generalizability of the results of an experiment.

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

    What is construct validity?

    <p>Construct validity is a measure of how well operationalizations represent the theoretical constructs they aim to measure.</p> Signup and view all the answers

    In a matched pairs design, _____ variability is reduced as participants are compared to themselves.

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

    Match the type of validity with its correct description:

    <p>Construct Validity = Quality of operationalizations Internal Validity = Credibility of the experiment External Validity = Generalizability of results Face Validity = Superficial assessment of a measure</p> Signup and view all the answers

    What is a primary challenge of using matched pairs design?

    <p>Matching variables must be identified and measured.</p> Signup and view all the answers

    Counterbalancing becomes less difficult as the number of conditions increases.

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

    Why is participant variability a concern in randomized group allocations?

    <p>Because it may lead to groups not being equivalent at the start of the study.</p> Signup and view all the answers

    What type of experiment allows the researcher to manipulate the independent variable in a laboratory setting?

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

    In a natural experiment, the independent variable is manipulated by the researcher.

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

    What correlation coefficient range indicates a small effect size?

    <p>0.10-0.29</p> Signup and view all the answers

    In a correlational study, the relationship between two variables is mathematically quantified using a __________.

    <p>correlation coefficient</p> Signup and view all the answers

    Match the type of experiment with its characteristic.

    <p>True Field Experiment = Manipulated by the researcher in real-life Natural Experiment = Manipulated by nature Quasi-Experiment = Not manipulated; pre-existing difference True Laboratory Experiment = Manipulated by the researcher in a laboratory</p> Signup and view all the answers

    Which of the following statements is true regarding correlational studies?

    <p>A correlation coefficient can range from -1 to +1.</p> Signup and view all the answers

    A positive correlation indicates that as one variable increases, the other variable decreases.

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

    What does the 'effect size' in correlational studies indicate?

    <p>The strength of the correlation</p> Signup and view all the answers

    What is indicated by a p-value of less than 0.1%?

    <p>Result is very significant</p> Signup and view all the answers

    A statistically significant correlation always means a large effect size.

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

    What issue is likely if a study does not take potential third variables into account?

    <p>The Third Variable Problem</p> Signup and view all the answers

    If a correlation is statistically significant, it is considered to be reliably ________ from zero.

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

    Match the type of bias with its corresponding explanation:

    <p>Curvilinear Relationships = Results cannot be captured with a standard correlation coefficient. The Third Variable Problem = A third variable may explain the observed correlation. Spurious Correlations = Correlations may occur by chance in multiple comparisons.</p> Signup and view all the answers

    Which of the following p-value indicates a very significant result?

    <p>p &lt; .01</p> Signup and view all the answers

    Curvilinear relationships can be adequately captured using a standard correlation coefficient.

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

    What should researchers consider when possible spurious correlations are present?

    <p>Interpret results with caution</p> Signup and view all the answers

    Study Notes

    Overarching Concepts: Sampling, Credibility, Generalizability, and Bias

    • Four overarching concepts are used to assess research study quality, applicable to all methods. Qualitative and quantitative research approaches may use different terms for the same concept.
    • Sampling involves selecting individuals to participate in a study. This group is called a sample.
    • Credibility assesses the trustworthiness of study results. A credible study's findings accurately reflect reality. Bias is the opposite of credibility, representing various distortions in a study.
    • Generalizability describes the extent to which study results apply beyond the sample and the specific research setting. Qualitative and quantitative approaches differ in their generalizability strategies.

    Experimental Studies

    • Sampling: Random sampling, stratified sampling, self-selected sampling, and opportunity sampling are used. External, ecological, population, and construct validities are important aspects. Internal validity describes the ability of the study to measure the variable being tested, with the right variables controlled.
    • Generalizability: Population validity, construct validity
    • Credibility: Improving credibility involves controlling confounding variables, using reliable measurement, and avoiding researcher biases. Internal validity is a threat to credibility, with threats like selection, history, maturation, testing, instrumentation, regression to the mean, experimental mortality, experimenter bias and demand characteristics.
    • Bias: Participant and researcher biases are considered. These could include acquiescence bias, social desirability bias, dominant respondent bias, sensitivity bias, confirmation bias, leading question bias, question order bias, and sampling bias

    Correlational Studies

    • Sampling: Strategies like random, stratified, convenience, and self-selected sampling are used.
    • Generalizability: Population validity, construct validity, ecological validity
    • Credibility: Issues of curvilinear relationships between variables, the influence of third variables, and spurious correlations are considered. Researchers must consider the nature of variables measured, and how those variables are measured (operationalization).

    Types of Experimental Designs

    • Independent Measures Design: Participants are randomly assigned to different groups to control for potential confounding variables
    • Matched Pairs Design: Participants are matched on key characteristics to create equivalent groups.
    • Repeated Measures Design: The same participants complete multiple conditions, comparing outcomes. Order effects from repetitive tasks can be controlled by using counterbalancing.

    Validity and Bias

    • Construct Validity is related to how well the study measures the intended concepts.
    • Internal Validity refers to the credibility of the study to ensure the change in the independent variable caused the change in the dependent variable.
    • External Validity describes how well the findings generalize to other people and situations.
    • Population Validity determines if the study's sample matches the target population.
    • Ecological Validity assesses how applicable the findings are in real-world settings.
    • Potential sources of bias in experimental and correlational studies are addressed, such as: selection bias, history effects, maturation effects, testing effects, instrumentation, regression to the mean, mortality, demand characteristics, experimenter bias.

    Types of studies

    • Natural Experiments: Occur naturally, with researcher not manipulating IV.
    • True laboratory experiments: Controlled environment, IV is manipulated by researchers.
    • Quasi Experiments: Participants are not randomly allocated to groups, pre-existing differences exist between groups. Difficult to determine if the manipulated IV caused the change.
    • Field experiments: Conducted in real-life settings, manipulating IV. High in ecological validity but low in internal validity.

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    Description

    This quiz explores critical concepts in research methods, focusing on sampling, credibility, generalizability, and bias. You will learn about different sampling techniques and the validity of study results. Understand how these aspects affect the overall quality of research studies in both qualitative and quantitative contexts.

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