Podcast
Questions and Answers
What is the definition of internal validity?
What is the definition of internal validity?
Internal validity refers to the degree to which a study can establish a cause-and-effect relationship between the independent variable (IV) and the dependent variable (DV). It focuses on ruling out alternative explanations for the observed results.
What are the key characteristics of high internal validity?
What are the key characteristics of high internal validity?
High internal validity means the study successfully isolates the effect of the IV on the DV, with minimal influence from confounding variables.
What are the key terms associated with internal validity?
What are the key terms associated with internal validity?
The key terms associated with internal validity are confounding variable, experimental control, and causality.
Define a confounding variable.
Define a confounding variable.
Signup and view all the answers
What are experimental control techniques?
What are experimental control techniques?
Signup and view all the answers
Define causality.
Define causality.
Signup and view all the answers
What are some common threats to internal validity?
What are some common threats to internal validity?
Signup and view all the answers
Which of the following is an example of high internal validity?
Which of the following is an example of high internal validity?
Signup and view all the answers
Define population validity.
Define population validity.
Signup and view all the answers
Define ecological validity.
Define ecological validity.
Signup and view all the answers
Define temporal validity.
Define temporal validity.
Signup and view all the answers
Which of the following is an example of low external validity?
Which of the following is an example of low external validity?
Signup and view all the answers
How do internal validity and external validity often trade off?
How do internal validity and external validity often trade off?
Signup and view all the answers
How can researchers maximize both internal and external validity?
How can researchers maximize both internal and external validity?
Signup and view all the answers
What is internal validity, and how can it be threatened in experimental research?
What is internal validity, and how can it be threatened in experimental research?
Signup and view all the answers
Provide an example of high internal validity and low external validity in a psychological experiment.
Provide an example of high internal validity and low external validity in a psychological experiment.
Signup and view all the answers
Define ecological validity and describe how it relates to external validity.
Define ecological validity and describe how it relates to external validity.
Signup and view all the answers
How can a researcher improve both internal and external validity in the same study?
How can a researcher improve both internal and external validity in the same study?
Signup and view all the answers
Why might a highly controlled lab experiment lack generalizability?
Why might a highly controlled lab experiment lack generalizability?
Signup and view all the answers
Study Notes
Internal Validity
- Internal validity refers to the degree to which a study can confidently establish a causal relationship between an independent variable and a dependent variable.
- High internal validity means that the study's design effectively rules out alternative explanations for the observed results.
Characteristics of High Internal Validity
- Clear manipulation of the independent variable: The researcher must effectively control and manipulate the independent variable to isolate its effects.
- Control of extraneous variables: Factors other than the independent variable that could influence the dependent variable should be minimized or controlled.
- Random assignment of participants to conditions: This procedure ensures that groups are equivalent at the start of the study, reducing the likelihood of pre-existing differences influencing the results.
Key Terms
- Confounding variable: A variable that is not the independent variable of interest but can also influence the dependent variable. This can lead to spurious correlations and make it difficult to determine the true effect of the independent variable.
- Causality: A causal relationship exists when a change in one variable directly leads to a change in another variable.
- Experimental control techniques: These are methods used to minimize the influence of extraneous variables. Examples include random assignment, holding extraneous variables constant, and using control groups.
Threats to Internal Validity
- History: Uncontrolled events that occur during the study that could influence the dependent variable.
- Maturation: Changes in participants over time (e.g., growth, learning) that could influence the dependent variable.
- Testing: The act of taking a test can influence performance on subsequent tests, even if the content is different.
- Instrumentation: Changes in the measurement instrument or procedures used during the study.
- Regression to the mean: When individuals with extreme scores on a measure tend to score closer to the average on subsequent measures.
- Selection: Pre-existing differences between participants in different groups that could influence the dependent variable.
- Attrition: Participants dropping out of the study, potentially creating bias in the results.
External Validity
- Population validity: The extent to which the results of a study can be generalized to different populations.
- Ecological validity: The extent to which the results of a study can be generalized to real-world settings.
- Temporal validity: The extent to which the results of a study can be generalized across time periods.
Examples of High Internal and Low External Validity
- A highly controlled laboratory experiment with a strong manipulation of the independent variable might have high internal validity because it effectively isolates the causal relationship between the independent and dependent variables. However, it may have low external validity as the results may not generalize well to real-world settings.
Relationship Between Internal and External Validity
- Often, there is a trade-off between internal and external validity. Studies designed to maximize internal validity often sacrifice external validity and vice versa.
Maximizing Both Internal and External Validity
- Researchers can use a combination of experimental control techniques and strategies to maximize both internal and external validity. These include:
- Using multiple measures of the dependent variable.
- Replicating studies in different settings.
- Sampling diverse populations.
- Using mixed methods (e.g., qualitative and quantitative data).
Ecological Validity
- Ecological validity relates to the extent to which the findings of a study can be generalized to real-world settings. It emphasizes the relevance and applicability of the research context to everyday experiences. Low ecological validity suggests that the results might not be representative of real-world situations.
Improving Both Internal and External Validity
- Researchers can combine different strategies to improve both internal and external validity, such as:
- Using a combination of controlled experimental conditions with real-world data collection methods (e.g., field studies).
- Including diverse participant samples that mirror the target population.
- Replicating studies in different contexts to assess the generalizability of findings.
High Control, Low Generalizability
- A highly controlled laboratory experiment can have the advantage of strong internal validity by effectively isolating the variables of interest. However, this controlled environment can sometimes lead to a lack of generalizability. Findings in a controlled setting might not accurately reflect how the variables interact in more complex, real-world scenarios.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.