Understanding Behavior
Behavioral studies extend beyond mere description to include explanations of underlying mechanisms.
Existence of Internal Reality
Assumes that an internal reality exists within individuals.
Nature of Latent Traits
Latent: Innate, inborn, and inherent characteristics found in every individual.
Inherent Nature:
The latent property never reaches a state of zero—it cannot be entirely absent.
Represents a probabilistic truth, avoiding definitive claims of existence or non-existence.
Understanding of Internal Reality
It is impossible to know the true nature of this internal reality; only theories and hypotheses can be formed about it.
Mental Representation
To adequately describe this internal reality, mental representations are utilized.
Develop a conceptual framework within which these latent properties can be examined indirectly.
Covert Nature
Latent properties cannot be directly observed through the five senses.
Post-positivism supports indirect observation methods.
Indirect Observability
As such, latent properties are studied through their effects or manifestations in observable behavior.
Theoretical constructs can be developed based on indirect observations; however, these ideas are probabilistic and depend on empirical evidence.
Limits of Description
Since latent properties cannot be externally described directly, they might need to be articulated through virtual or mental constructs.
Psychological Constructs
Latent: Constant or variable aspects observed in psychology.
Examples:
Imagery: Visual representation formed mentally.
Concepts: Generalized ideas that describe common themes across observables.
Concept vs. Construct
Concept: Label for observable or general themes (e.g., life satisfaction).
Construct: Observable characteristics that can potentially be studied (e.g., age, gender).
Constructs can be categorized as:
Constant: Same descriptive attributes (e.g., age)
Variable: Different descriptive attributes (e.g., life satisfaction varies per individual).
In psychological research, constants are less relevant than variables, as understanding variation provides deeper insights into human behavior.