Lecture 2, january 25 - (a) IQ (i) Not necessarily a valid...

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1) Measures a) Variables i) Operational Definitions ii) Self Report (1) Question is asked to a participant, participant answers (a) Useful for large quantities of data intake (i) Problems 1. Lies 2. Misinterpreting of self data 3. Biases b) Behavioral i) Objective (1) Based completely on genuine behavior ii) Costly (1) Usually more expensive than experiments, deal with reality simulations etc. c) Physiological i) fMRI (1) Localization of blood for observation ii) EEG d) Reliability i) Consistency or stability of a measure (1) If data is applied to a participant, and a result is achieved, the next time you  apply it, it will achieve the same result
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Unformatted text preview: (a) IQ (i) Not necessarily a valid measure of intelligence in some ethnic groups (b) SAT (c) GRE (i) Self report e) Construct validity i) Operational Definition f) Pictorially i) Scatterplot ii) Histogram g) Population i) All of those who are relevant (1) Technically speaking, a truly complete experiment would be to apply the experiment measures to everyone on the planet ii) SAMPLE (1) Subset of the population used by an experimenter (a) Basically an informational inference h) Parameters i) Mu (1) Mean, fixed variable i) Statistic i) Xbar (1) Mean, random variable...
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Lecture 2, january 25 - (a) IQ (i) Not necessarily a valid...

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