Internal vs External Validity PDF
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Xavier University of Louisiana
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Summary
This document provides a detailed explanation of internal and external validity in research. It defines key terms, explains different characteristics and threats to both, and gives examples of research with high and low validity in various areas.
Full Transcript
**INTERNAL VS EXTERNAL VALIDITY** **Internal and external validity are central to understanding the quality and applicability of research findings. Below is a detailed breakdown, including definitions of key terms, examples, and factors that influence each type of validity.** **Internal Validity**...
**INTERNAL VS EXTERNAL VALIDITY** **Internal and external validity are central to understanding the quality and applicability of research findings. Below is a detailed breakdown, including definitions of key terms, examples, and factors that influence each type of validity.** **Internal Validity** **Definition:** **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.** **Key Characteristics:** - **High internal validity means the study successfully isolates the effect of the IV on the DV, with minimal influence from confounding variables.** - **Threats to internal validity reduce confidence that changes in the DV are caused by the IV.** **Key Terms:** - **Confounding Variable: An external factor that influences the DV and is related to the IV, creating an alternative explanation for the results.** - **Experimental Control: Techniques used to eliminate or minimize confounding variables (e.g., random assignment, blinding).** - **Causality: The direct relationship between two variables where one directly affects the other.** **Common Threats to Internal Validity:** 1. **History Effects: External events occurring during the study that affect participants (e.g., news of a global pandemic during a stress-reduction experiment).** 2. **Maturation: Changes in participants over time (e.g., natural development, fatigue).** 3. **Testing Effects: Repeated testing influencing outcomes (e.g., participants improving on a test simply due to practice).** 4. **Instrumentation: Changes in measurement tools or procedures over time (e.g., using a different version of a questionnaire mid-study).** 5. **Selection Bias: Non-equivalent groups due to non-random assignment.** 6. **Attrition: Dropout of participants affecting the comparability of groups.** 7. **Demand Characteristics: Participants altering their behavior based on perceived expectations.** **Examples of Internal Validity in Research:** - **High Internal Validity: A randomized controlled trial (RCT) where participants are randomly assigned to a new drug group or placebo group, and confounders are controlled.** - **Low Internal Validity: A pretest-posttest study on weight loss where some participants join a gym during the study, influencing results independently of the intervention.** **External Validity** **Definition:** **External validity refers to the extent to which the results of a study can be generalized to other populations, settings, times, or conditions.** **Key Characteristics:** - **High external validity ensures that study findings apply beyond the specific sample or context of the study.** - **Threats to external validity limit the applicability of findings to real-world situations.** **Key Terms:** - **Population Validity: The degree to which results can be generalized to the broader population (e.g., studying college students and applying findings to all adults).** - **Ecological Validity: The extent to which the study setting reflects real-world conditions (e.g., testing memory in a quiet lab versus a noisy environment).** - **Temporal Validity: Generalizability of results across time periods (e.g., findings from a study on technology use in 2000 applied to the present day).** **Common Threats to External Validity:** 1. **Sample Characteristics: Results may not generalize if the sample is not representative (e.g., a study on mental health using only college students).** 2. **Setting: Research conducted in highly controlled environments may not reflect real-world settings.** 3. **Time and Context: Findings from past studies may not apply to current social, technological, or cultural conditions.** 4. **Interaction Effects: Effects specific to the interaction between the treatment and sample, limiting generalizability (e.g., a training program effective only for specific age groups).** **Examples of External Validity in Research:** - **High External Validity: A field study on workplace productivity conducted across multiple industries with diverse employees.** - **Low External Validity: A study on anxiety using a small, homogeneous sample of undergraduate psychology students, tested in a lab environment.** **Key Differences Between Internal and External Validity** **Aspect** **Internal Validity** **External Validity** ------------------------------ ----------------------------------------------------------------- -------------------------------------------------------------------- **Focus** **Cause-and-effect relationships** **Generalizability of findings** **Primary Goal** **Minimize confounding variables and alternative explanations** **Apply findings to other populations, settings, or times** **Control vs. Realism** **High control of variables, often at the expense of realism** **High realism, often at the expense of experimental control** **Threats** **History, maturation, selection bias, testing effects** **Sample characteristics, ecological validity, temporal validity** **Example of High Validity** **Randomized controlled trial in a controlled lab setting** **Observational study conducted in naturalistic settings** **Balancing Internal and External Validity** - **Trade-Off: Studies with high internal validity (e.g., tightly controlled lab experiments) often sacrifice external validity because they may not represent real-world conditions. Conversely, studies with high external validity (e.g., field studies) often have lower internal validity due to the lack of control over confounding variables.** - **Maximizing Both:** - **Use random sampling to enhance external validity.** - **Use random assignment and control techniques to improve internal validity.** - **Conduct replication studies across diverse settings and populations.** **Active Recall Questions** 1. **What is internal validity, and how can it be threatened in experimental research?** 2. **Provide an example of high internal validity and low external validity in a psychological experiment.** 3. **Define ecological validity and describe how it relates to external validity.** 4. **How can a researcher improve both internal and external validity in the same study?** 5. **Why might a highly controlled lab experiment lack generalizability?**