What term describes a coefficient or model parameter that is fixed and cannot vary across situations or contexts?

• A. Factor score
• B. Fixed coefficient
• C. Factor transformation matrix, ∧
• D. Familywise error rate

Answer: (B)

A fixed coefficient is a constant in a statistical model that does not vary across different situations or contexts. It represents a single, common effect estimated from the data and is assumed to apply equally to all observations unless the model includes explicit mechanisms for variation (such as random effects). This stands in contrast to coefficients that can change by group or context, which are modeled as random or varying effects. The other terms refer to different ideas: a factor score is an estimated value for a latent variable; a factor transformation matrix relates observed variables to underlying factors; and the familywise error rate deals with the probability of making one or more Type I errors across multiple tests.