construct validities

Definition of Content Validity
- Assessing whether a measure covers the content defined by a theory or conceptual definition.
- This method is subjective and involves reviewing each item to confirm coverage of all theoretical aspects.
Example: Intelligence Measurement
- Intelligence is multifaceted; therefore, a comprehensive intelligence measure should evaluate multiple types of intelligence.
- Essential components to include:
- Reasoning and planning.
- Problem solving.
- Learning from experience.
- Goal: Ensure that items assess all aspects of intelligence rather than focusing on only one or two.
Example: Attitude Score Measurement
- Attitudes consist of various components:
- Cognition (thoughts and beliefs).
- Affective (feelings towards a topic).
- Behavioral intentions (what one plans to do).
- Two example items:
- "I believe research methods are valuable."
- "I am interested in taking research."
- Assessment:
- The items cover cognition but lack affective and behavioral aspects.
- This indicates low content validity since there are no items addressing feelings or actions.
- Recommendations: Add items to tap into emotional responses and behavioral actions:
- Examples: "I enjoy being a student researcher." or "Doing research makes me feel excited."
Importance of Content Validity
- More items on the scale result in stronger content validity if they align with the theoretical aspects of attitudes.

Subjective techniques overview:
- Face Validity:
- Assess whether the measure appears to assess the concept on its surface.
- Content Validity:
- Directly checks if all theoretical components are measured.
Next step after initial subjective checks:
- Implementing empirical methods of assessing accuracy to validate the measurement.

Criterion Validity:
- Definition: Evidence that responses on a measure correlate with important behaviors that are outlined by the corresponding theory.
- Relation to Self-Report Measurements:
- Self-reports can be biased due to social desirability and participant inaccuracy.
- Key behavior prediction:
- Example: A self-report measure of attitudes towards research should correlate with actual engagement in research activities.
- As self-reported attitudes increase, actual research engagement should also increase.
Example of Criterion Validity Application: IO Psychologist in Sales
- An IO psychologist may create a self-report test to predict sales effectiveness.
- Method:
- Administer the test to current employees and compare their scores with actual sales performance.
- Expected result: A positive correlation indicates that higher test scores predict better sales performance.
Criteria Validity through known groups:
- Discriminating between already known groups to assess predictive validity.

Beck Depression Inventory as an example:
- Purpose: Measure levels of depression; requires established differentiating properties.
- Administration:
- Clinicians use the BDI to assess patients already diagnosed with depression and those with different mental health issues.
- Checks correlation of BDI scores against clinical evaluations to assess valid predictive capacity.
Graphical representation:
- X-axis: Psychiatrist judgments of depression.
- Y-axis: Client scores on the BDI.
- Result: Higher BDI scores correlate with clinically depressed classifications, demonstrating criterion validity.

Definition: Scores from a new measure should correlate with scores from established measures of the same or similar concepts.
Practical Application:
- Creating new measures (e.g., personality traits) based on existing validated inventories.
- Expected correlation for convergent validity should be high (closer to 1).

Definition: Demonstrates that responses on the measure do not correlate with unrelated constructs.
Expected outcomes:
- A low correlation coefficient (close to 0) confirms discriminant validity, ensuring that the measurement is specific to its intended construct and not related to extraneous variables.

Evaluating measures should encompass:
- Evidence of reliability (checking internal reliability, test-retest).
- Evidence of validity (using criterion, convergent, and discriminant methods).
If the measure lacks empirical validity, further research could be conducted to establish its efficacy and potentially submit findings for publication.