CAS PS 324 Lecture Notes - Lecture 7: Fokker E.Ii, Content Validity, Observational Error

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Book review of chapter 4: variable: any factor or attribute that can assume two or more values, constant: value that does not change, qualitative: properties that differ in type c. i. Ex: sex, religious affiliation, eye color: quantitative: properties that differ in amount d. i. Discrete: between any two adjacent values, no intermediate values are possible d. ii. 1. Continuous: in principle, between any two adjacent scale values, further intermediate values are still possible e. Independent: presumed casual factor in a cause-effect relation between two variables; in an experiment, it is a factor that researchers manipulate or systematically varies e. i. Situational variable: characteristic that differs across environments or stimuli e. ii. Ex: can observe you eating a huge amount of food or saying i"m famished and these measurable behaviors can point to underlying psychological state called. Hunger": mediator variable: variable that provides a casual link in the sequence between an independent variable and dependent variable, explains why an independent variable influences a dependent variable h. i.

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