11.16 - o See if the items can reliably go together (run a...

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Correlations Correlation is the linear relationship between two numeric variables o Positive correlation when one thing goes up, the other goes up o Negative correlations when one thing goes up, the other goes down Range -1 (neg rel) through +1 (pos rel) Strength of relations, r= __ o .0-.2 = weak, no relationship o .2-.4 = weak relationship o .4-.6 = moderate relationship o .6-.8 = strong relationship o .8-1 = very strong relationship P value must be significant Correlation is NOT causation Analyze > correlate > bivariate ONLY WORKS WITH ORDINAL, RATIO or INTERVAL VARIABLES Computing an Index Variables must be numeric (nominal) Transform > compute Target variable – give name, give label Move over variable from left Put a + in between variables o Ex. Society1+society2+society3 Move over variable Press okay New computed variable is at the end In class example: credibility The purpose of an index is to organize data in a meaningful way When you run an index: o Look at what people have done historically
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Unformatted text preview: o See if the items can reliably go together (run a cronbachs alpha test) o If they do go together, create the index TEST P-value = Sig. (2-tailed) must be smaller than .05 to be significant R-value = Pearson Correlation must be larger than .3 to be significant Nova T-test Frequencies include mean and SD Chi-square Correlations Factor analysis Cronbachs alpha know how to read how scores will change if items are deleted, alpha must be greater than .7 PAPER Include the strength of relationship in correlations EC 1 point on paper grade if we write a press release about research project findings due on the 4 th o researchers at UGA found primary story o undergraduate students did original research secondary story o 1-2 quotes from us, possibly a quote from Dr. Sweetser o 2 page max; examples on De.li.cious page...
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11.16 - o See if the items can reliably go together (run a...

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