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State vs Trait Constructs
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Criterion vs Norm referenced n Criterion reference = compares to established standard, well defined objectives n Norm referenced = compares each score to other scores, relative
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Norms n Types of norms?????
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Sampling n Random n Stratified n Purposive n Incidental/convenience
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Correlations n NOT causal n relationship between variables n predictive
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Scatterplot
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Positive Correlation
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Negative Correlation
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No correlation
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Correlation values -1 to +1.56, -.45, -.09,.89, -.93
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Appropriate Correlations 1 - data must be linear not curvilinear (determine by scatterplot)
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Curvilinear
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Appropriate Correlation to use 1 – linear data 2 - type of scale interval (or ratio) = Pearson r ordinal = Spearman rho 3 - number of subjects more than 30 = Pearson fewer than 30 = Spearman
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Decision Tree Linear No = no corryes = corr Scale Scale ordinal = rho interval = r number number 30 = r 30 = r
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Multiple correlations n Correlations between more than one variable done at the same time.
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Multiple regression n Relationship between more variables n Uses specific predictor and criterion variables n Looks at relationships between predictors n Can factor out partial relationships
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Multiple regression - example n Grad school grade performance = criterion (or outcome) n Predictor variables = undergrad GPA = undergrad GPA = GRE scores = GRE scores = Quality of statement of purpose = Quality of statement of purpose
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Multiple regression data PredictorBeta (=r) significance (p) GPA.80.01 GRE.55.05 statement.20.20
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Multiple regression – example 2 n Predictor variables = Metacognition, Locus of Control, Learning Style n Criterion variable = academic performance (grade)
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Multiple regression data PredictorBeta (=r) significance (p) Meta..75.01 LofC.65.05 L.S..32.15
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Meta-analysis
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Project questions n 4 - Does your test measure a state or a trait? u Explain. n 5 - What sort of norms would be appropriate to collect to standardize your measure? u Why did you select those norms? n 6 - Which correlation formula would you use when correlating the scores from your measure with another variable? u Why?
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