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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 cronbach’s 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 – • Cronbach’s 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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  • Fall '09
  • Sweetser
  • Statistics, Correlation and dependence, Pearson product-moment correlation coefficient, Spearman's rank correlation coefficient, strong relationship, research project findings

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