1
Q
is it most common
A
yes
2
Q
how many types
A
3.
3
Q
- structured
A
closed questions
use common rating scale
NON POPULAR
4
Q
2.semi structured
A
most common
open ended questions
probing
5
Q
3.unstructured
A
general topic rather list questions
normal convo
ideal narrative
6
Q
interviews system( braun and clarke 2018)
A
plan, how record, follow up
7
Q
sample size
A
once can be effiecent in adressing research
Statistics
flashcards
Decks in class (69)
# Cards
-
1.Assumptions of science.3
-
scientific methods2
-
hypothesis9
-
Data type14
-
2.measures of central tendencies14
-
histogram3
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design study7
-
3.inferential statistics2
-
types of statistical analysis13
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signal to noise ratios13
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reduction of interferential errors(sig to noise)leading8
-
4.observation design13
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5.categorical data4
-
chi-square analysis11
-
6. normality/ parametric7
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assessing normality4
-
comparing para and non para12
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skewness and kurtosis5
-
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
-
reporting between and within anovas2
-
1.correlation design13
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types of correlation in relation4
-
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
-
reliability ( part 2)16
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validility (part 3)14
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3. values correlation analysis13
-
assumtions of correlation7
-
4. simple regression11
-
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
-
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
-
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
-
reflexivity ( part 2)5
-
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
-
6 t test3
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7one way anova3
-
1.correlation design spss2
-
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
