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Questions and Answers

What is the main goal of descriptive research?

To describe the characteristics, behaviors, or phenomena of a population or situation.

Which of the following research questions is an example of descriptive research?

  • What is the relationship between exercise frequency and mood?
  • What are the most common stressors experienced by college students? (correct)
  • Does a special diet improve cognitive function in adults?
  • How does a new teaching method affect students' test scores?
  • Which of the following is NOT a common format used in survey research?

  • Closed-ended questions
  • Open-ended questions
  • Multiple-choice questions
  • Observation and recording of behavior (correct)
  • Contrived observation is a type of descriptive research where the researcher creates a controlled environment to ensure behavior will occur.

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

    Which of the following is a weakness of observational research?

    <p>All of the above</p> Signup and view all the answers

    What are the three main types of descriptive research, and provide an example of each?

    <p>The three main types of descriptive research are observational research, survey research, and case study research. For example, observing children on a playground to study social behavior is an example of observational research. Asking employees about job satisfaction is an example of survey research. Examining a patient with a rare psychological disorder is an example of a case study.</p> Signup and view all the answers

    Explain two major advantages of using surveys for descriptive research.

    <p>Two major advantages of using surveys for descriptive research include the ability to reach a large sample size and being cost-effective and efficient. Surveys are a relatively easy and affordable way to collect data from a large number of people.</p> Signup and view all the answers

    What are the key differences between naturalistic observation and structured observation in descriptive research?

    <p>Naturalistic observation involves observing behavior in its natural environment, while structured observation takes place in a controlled environment. Naturalistic observation aims for ecological validity and minimizes researcher influence, but it can be challenging to control for confounding variables. Structured observation offers more control over the variables but may not provide a completely natural representation of behavior.</p> Signup and view all the answers

    In what scenarios is a case study the most appropriate descriptive research method?

    <p>A case study is most suitable for in-depth exploration of a unique individual, group, or situation which is usually rare or unusual. It is often used to study rare phenomena, such as a child prodigy or a survivor of a natural disaster.</p> Signup and view all the answers

    What are the key features of multiple baseline designs in single-case experimental research?

    <p>Staggered intervention, non-reversal design, and internal validity</p> Signup and view all the answers

    The changing criterion design in single-case research gradually changes the performance criteria for reinforcement.

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

    Which type of single-case design cannot establish causation?

    <p>AB design</p> Signup and view all the answers

    What is the purpose of using an ABA design in single-case research? What are its limitations?

    <p>The purpose of using an ABA design is to demonstrate causality by observing whether the behavior returns to baseline once the intervention is removed. Its limitations include the ethical concern of withholding treatment if it is beneficial and being impractical to implement in situations where the intervention is irreversible.</p> Signup and view all the answers

    What are the key differences between ABAB and multiple baseline designs?

    <p>ABAB design uses reversal phases to demonstrate causality, while multiple baseline designs stagger the introduction of the intervention across different behaviors, settings, or participants. ABAB designs are simpler and easier to implement, but multiple baseline designs provide more flexibility and can be applied to multiple variables simultaneously.</p> Signup and view all the answers

    Describe the purpose of changing criterion design in single-case experimental research and provide an example.

    <p>The purpose of changing criterion design is to evaluate whether the behavior systematically follows the changing criteria for reinforcement. For example, a researcher might gradually increase the number of completed homework problems required for a reward to see if the student's completion rate consistently improves in response to the more demanding criteria.</p> Signup and view all the answers

    Why is it essential to include effect size in reporting statistical results?

    <p>Including effect size in addition to p-values provides a more comprehensive understanding of the magnitude and significance of the observed effects. It offers a more complete picture of the findings, allowing researchers to assess not only whether an effect occurred but also how strong that effect was.</p> Signup and view all the answers

    Which of the following statistical tests compares the means of two groups?

    <p>T-test</p> Signup and view all the answers

    What is the key difference between independent samples t-test and paired samples t-test?

    <p>The independent samples t-test compares the means of two separate groups, while the paired samples t-test compares the means of two sets of measurements from the same group. For instance, an independent samples t-test could be used to compare the test scores of two different classes, while a paired samples t-test could be used to compare the pre-test and post-test scores of the same group of students after a specific intervention.</p> Signup and view all the answers

    Explain the purpose of correlation in statistical analysis, and how is Pearson's r interpreted?

    <p>Correlation measures the strength and direction of a linear relationship between two variables. Pearson's r, also known as the correlation coefficient, ranges from -1 to +1, where a positive value indicates a positive linear relationship, a negative value indicates a negative linear relationship, and a value close to 0 suggests a weak or no linear relationship. For instance, a correlation coefficient of 0.8 indicates a strong positive linear relationship.</p> Signup and view all the answers

    What is the primary purpose of regression analysis in statistics?

    <p>The primary purpose of regression analysis is to predict a dependent variable based on one or more independent variables. It helps researchers understand how changes in independent variables influence changes in the dependent variable.</p> Signup and view all the answers

    Statistical power refers to the probability of correctly rejecting the null hypothesis when it is true.

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

    How does increasing the sample size affect statistical power?

    <p>Increasing the sample size generally increases statistical power. This is because larger samples provide more information and reduce the influence of random variability, making it easier to detect a real effect and reject the null hypothesis.</p> Signup and view all the answers

    Which of the following is NOT a common element included in an APA-style results section?

    <p>Qualitative data</p> Signup and view all the answers

    Study Notes

    Descriptive Research Strategy

    • Aims to describe characteristics, behaviors, or phenomena without establishing cause-and-effect relationships.
    • Answers questions like "What exists?", "What is happening?", and "How do people behave?".
    • Useful in early research stages to form hypotheses.

    Key Features

    • Purpose: Describe variables as they naturally occur; does not manipulate or establish causal relationships.
    • Use Cases: Understanding trends, identifying patterns, documenting phenomena for later analysis.
    • Research Questions Examples: Common stressors among college students, frequency of social media use, demographic composition of urban neighborhoods.

    Key Terms

    • Variable: Any characteristic or phenomenon measurable. (e.g., age, height, study hours).
    • Population: The entire group of interest. (e.g., all college students in the US).
    • Sample: A subset of the population used to collect data. (e.g., 500 college students).
    • Observation: Recording behavior directly (e.g., watching children in a playground).
    • Survey: Using questionnaires or interviews to collect data. (e.g., asking about job satisfaction).
    • Case Study: In-depth study of a single individual or small group. (e.g., examining a patient with a rare psychological disorder).

    Types of Descriptive Research

    • Observational Research: Systematic observation and recording of behaviors in natural or contrived settings.
      • Subtypes:
        • Naturalistic Observation: Observing behavior in natural environment.
        • Participant Observation: Researcher becomes part of the observed group.
        • Contrived Observation: Observations occur in controlled settings.
    • Survey Research: Collecting self-reported data using questionnaires or interviews. Common question formats include closed-ended (multiple choice) or open-ended (descriptive).
    • Case Study: In-depth exploration of an individual, group, or situation to study rare or unique phenomena, like a child prodigy or survivor of natural disaster.

    Single Case Experimental Research Design

    • Used to study the effect of an intervention on an individual or small group.
    • Focuses on within-subject variations, not comparisons among multiple groups.
    • Involves repeated measures of the dependent variable.

    Key Features of Single-Case Designs

    • Repeated Measures: Dependent variable measured multiple times before and after an intervention.
    • Baseline Phase (A): Measures the behavior without intervention, establishing a comparison.
    • Intervention Phase (B): The period when an intervention/treatment is applied.

    Types of Single-Case Designs

    • AB Design: Simple; baseline (A) followed by intervention (B).
    • ABA (Reversal) Design: Baseline (A) → Intervention (B) → Baseline (A) to strengthen causal inference through replication.
    • ABAB Design: Baseline (A) → Intervention (B) → Baseline (A) → Intervention (B) replicating the intervention for a stronger causal inference.
    • Multiple Baseline Designs: The intervention is staggered across behaviors, settings, or participants rather than withdrawing it completely. There are several types to target different aspects (multiple behaviors, settings, participants).

    Changing Criterion Design

    • Performance criteria for reinforcement are gradually changed.
    • Measures if the behavior systematically follows the changing criteria in an increasing or decreasing pattern.

    Descriptive Statistics

    • Summarizes and organizes data (e.g., mean, median, mode, range, standard deviation).
    • Summarizes a sample or population.
    • Example: Reporting average exam scores of a class.

    Inferential Statistics

    • Makes predictions or generalizations about a population based on sample data.
    • Uses hypothesis testing, confidence intervals, and estimation.
    • Example: Using a sample of 100 students to estimate the average exam score of all college students.

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