Dr. Gass
HCOM 308
Fall 2008
Test 3 will focus primarily on statistical tests of significance and SPSS. There = may be additional information we haven’t covered yet, such as Type I and Typ= e II errors.
difference tests, Ch. 16, 1= 7, 18
know the symbols for each test we covered in class
know when and under what circumstances each test should be used
chi-squ= are test, Ch. 16
cross-t= abs or contingency tables
indepen= dent samples t-test, Ch. 17
one-way= ANOVA, Ch. 18
two-way= ANOVA
post hoc tests
factori= al analysis of variance (2 X 2, 3 X 3, etc.)
know the difference between the number of variables and the number of conditions
main effects and interaction effects
&nbs= p; statistical artifact (chance result)
correlation tests, Ch. 19
bivariate correlations, e.g., two variables
scatterplot or scattergram=
positiv= e versus negative correlations
linear<= /span>, nonlinear, curvilinear relationships
&nbs= p; correlation coefficient (know what an “r” = value represents)
&nbs= p; Pearson r
&nbs=
p; Spearman
rho and
&nbs= p; Cramer’s V
correla= tion doesn’t prove causation
coeffic= ient of determination (just know the basic concept)
spuriou= s relationship
SPSS
&nbs= p; creating a variable
&nbs= p; values and value labels
&nbs= p; columns versus rows
&nbs= p; levels of measurements in SPSS (nominal, ordinal, scal= e)
&nbs= p; entering and saving data
&nbs= p; select cases; “select if” condition
&nbs= p; creating a scattergram
&nbs= p; creating a histogram
&nbs= p; interpreting various SPSS results, e.g. p < .05, p = < .01, p < .001
&nbs= p; performing a chi-square
&nbs= p; performing a t-test
&nbs= p; performing a one-way ANOVA
&nbs= p; performing a Pearson r
&nbs= p; if you see columns of data, you should be able to tell= which significance test applies
if you see a results table, you should be able to interpret it