1
Q
frequency
A
normal distribution
-highest frquency middle of graph-symetrical
2
Q
normal distribution
A
analyze descripte stats descriptives
variables want to examine
OK
SPSS puts z score in all variables= compute variables
3
Q
how to find if normality ( para or non)
A
analyze
descriptive stats
explore
test variables OK
shows KS and SW
4
Q
to look at skew
A
do same but under plots look at histogram
Statistics
flashcards
Decks in class (69)
# Cards
-
1.Assumptions of science.3
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scientific methods2
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hypothesis9
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Data type14
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2.measures of central tendencies14
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histogram3
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design study7
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3.inferential statistics2
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types of statistical analysis13
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signal to noise ratios13
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reduction of interferential errors(sig to noise)leading8
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4.observation design13
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5.categorical data4
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chi-square analysis11
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6. normality/ parametric7
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assessing normality4
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comparing para and non para12
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skewness and kurtosis5
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Whitney U and Wilcox6
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7.independent t-test20
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paired sample t-test9
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8.one way between measured of anova16
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one way repeated measures anova1
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reporting between and within anovas2
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1.correlation design13
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types of correlation in relation4
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pros /cons correlation11
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correlation predictions5
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ETHICAL CONSIDERATIONS(part 2)2
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2.questionaire (part 1)2
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reliability ( part 2)16
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validility (part 3)14
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3. values correlation analysis13
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assumtions of correlation7
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4. simple regression11
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linear model( part 2)5
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5.simple regression (measuring)-residual8
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least sum of squares1
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Goodness of fit4
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better fit of mean _ still residual4
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total sum of square(part 2)3
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model sum of square4
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power analysis (part2)10
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effect size6
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6.qualitative research16
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qualitative focuses4
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difference between qualitative and quantative18
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rigor in qual research7
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7.face to face data collection4
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interview7
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focus group5
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co-operative enquiry2
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reflexivity ( part 2)5
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8.online data17
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9.reflexive analysis5
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1.SPSS basic3
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2.descriptive stats7
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recording variables ( grouping)4
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3.chi square spss6
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4.normality4
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5.non para1
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6 t test3
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7one way anova3
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1.correlation design spss2
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correlation spss7
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reliability and val spss3
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linearity spss3
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simple linearity regression spss2
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simple regression analysis add on SPSS6
