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Experimental Psychology
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Ezoic
2005-03-04 17:47:15 (UTC)

Hill 3-4

(Cont'd)
-permits look at combinations of vars like they really
occur
-Allows EV w/o loss of IV
-Nonreactive measures- glover hans
-reduce "demand characristics" influence (e.g., reduce
suggestions to Ss of hypothesis, grps, expectations)
-tougher for w/i Ss
-use unobtrusive measures-Ss dont know being observed in
exp't
-minimize reactivity
-Field Experiments -move out of lab

Descriptive Statistics
-Population vs Sample
-parameter(mu) vs statistic (mean of sample)
-purpose to summarize data collected from sample
-measures of central tendency; Mean, Median, Mode
-Measures of Variablity: Range, std Dev, Variance
-Visual measures: Histogram, Frequency Distribution
-normal curve vs Empirical Distribution
-Properties of Normal Curve
-2/3rds (68%) of all scores of population fall w/i 1 std
dev of mean
-95% of all scores fall w/i 2 std dev of mean
-Beyond 2 dev rars scores (extremes,outliers)- stat
significant

Logic of Hypothesis Testing Step 1
-state the hypothesis
-limited # of outcomes - only 2
-IV has an effect or IV does not have an effect
-/:. Need to state 2 hypotheses (/:.=therfore)
-Assumption -IV does NOT have an effect (impt)
-Null hypothesis (supposes no effect)
-IV had no impact on DV for the pop
-Ho: u1=u (1sample) or Ho: u1= u2 (2 sample)
-Alternative hypothesis (research hyp. change occured)
-could be or (1 tailed) but concentrate on =/
(2 tailed)
-H1: u1=u(1 sample) or H1: u1=/u2(sample)


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