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By:
Francesca Tams
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Decks in this class (69)
1.Assumptions of science.
Lawful,
Deterministic,
Understandable
3
cards
scientific methods
Scientific method,
Theories
2
cards
hypothesis
Whats a hypothesis,
Popper 1959 states,
Falsification theory means
9
cards
Data type
Consistency refer to,
Accuracy,
Types of reliability
14
cards
2.measures of central tendencies
Normal distribution,
Normal distribution,
Central limit theory
14
cards
histogram
Whats x and y axis,
Standardised testing,
Symmetrical problems eg now that ...
3
cards
design study
Three variables,
What do three variables mean,
Two types of study
7
cards
3.inferential statistics
What s is inferential statistics,
Samples
2
cards
types of statistical analysis
Descriptive analysis,
Inferential statistics,
What does probability and specifi...
13
cards
signal to noise ratios
Account mean difference and spread,
Signal means,
Noise
13
cards
reduction of interferential errors(sig to noise)leading
Type 1 error,
Type 2 error,
Whats statistical power
8
cards
4.observation design
Whats observations,
How to sample,
Time based sampling
13
cards
5.categorical data
Whats categorical data,
Why not require normal distribution,
Therefore what test do use instea...
4
cards
chi-square analysis
Assumptions chi mutually exclusive,
Assumptions chi large enough expe...,
Random selection
11
cards
6. normality/ parametric
Descriptive statistics,
Whats a z score,
Z score 1 mean
7
cards
assessing normality
What test to assess normality,
What happens if p value smaller,
What does larger p value indicate
4
cards
comparing para and non para
Calculating p can be effected by,
Which is more powerful parametric...,
Why is parametric more used
12
cards
skewness and kurtosis
Skewness 2 types,
What does skewness indicate,
How to calc skewness
5
cards
Whitney U and Wilcox
( both non para)
6
cards
7.independent t-test
T test independent assumption,
T test are indepndent,
T test between
20
cards
paired sample t-test
Paired sample t test dependent us...,
Issues with test,
Positive
9
cards
8.one way between measured of anova
Anova,
What does it do,
When one way
16
cards
one way repeated measures anova
repeated measures
1
cards
reporting between and within anovas
Between anova,
Repeated anova
2
cards
1.correlation design
Variable 1 and variable 2,
Whats a true experiment and is th...,
What does experimental do
13
cards
types of correlation in relation
Correlation values,
Strong,
What positive rel
4
cards
pros /cons correlation
Allows to investigate variables,
As non experimentally,
Naturalistic settings
11
cards
correlation predictions
Correlation measure reliability,
What variables use,
If one var continuous and one dis...
5
cards
ETHICAL CONSIDERATIONS(part 2)
What copies require,
Ethics
2
cards
2.questionaire (part 1)
Pros,
Likert meaure
2
cards
reliability ( part 2)
Reliability means,
How many types reliability,
Test re test
16
cards
validility (part 3)
What is validility,
How many varability measures,
Face
14
cards
3. values correlation analysis
Recap on correlation,
Types of correlation 6,
Strength means
13
cards
assumtions of correlation
Before conducting data make sure,
If meet assumptions,
If violate
7
cards
4. simple regression
Like correlation,
Difference to correlation,
Predictor outcome
11
cards
linear model( part 2)
Whats linear model,
Whats line of best fit,
One have best fit write regressio...
5
cards
5.simple regression (measuring)-residual
Simple regression,
How do you do simple regression,
How do you work out distance betw...
8
cards
least sum of squares
Least sum of squares
1
cards
Goodness of fit
Goodness of fit,
Whats goodness of fit,
What does correlation coeffiecnt do
4
cards
better fit of mean _ still residual
What does residual sum measure,
What does not tell us,
Baseline model
4
cards
total sum of square(part 2)
What total sum square,
What use together to predict bett...,
Whats the difference bteween sst ...
3
cards
model sum of square
What is ssm,
Whats the value of model sum,
What does r2 represent
4
cards
power analysis (part2)
Recap stat sig,
Recap type 1 error,
T
10
cards
effect size
Whats effect size,
Large effect size,
Cohens effect size
6
cards
6.qualitative research
What is qualitative researcy,
Context of qualitative research,
How many factors did braun and cl...
16
cards
qualitative focuses
Representation,
Construction,
Langauge
4
cards
difference between qualitative and quantative
Qualitative,
Quantative,
Qualitative research design
18
cards
rigor in qual research
Principles how many,
1sensative to context,
Context and transparency
7
cards
7.face to face data collection
Ethnograph,
Autoethinograph,
Photograph
4
cards
interview
Is it most common,
How many types,
1 structured
7
cards
focus group
Braun and clarke 2013,
Consider,
Wilkinson 2015
5
cards
co-operative enquiry
Co research,
Worldwide view states persons as
2
cards
reflexivity ( part 2)
Whats reflexivity,
How many types reflexivity,
1personal
5
cards
8.online data
Textal data survey,
Rq survey
17
cards
9.reflexive analysis
Reflexive thematic braun and clarke,
Big 5,
Themantic
5
cards
1.SPSS basic
Basic,
Variable view,
Variable view
3
cards
2.descriptive stats
Descriptive stats,
How you do this in spss,
2 frequency
7
cards
recording variables ( grouping)
Recording var,
Spss,
Compute var
4
cards
3.chi square spss
Step one,
Whats weighing cases,
Then chi square
6
cards
4.normality
Spss,
Normal distribution,
How to find if normality para or non
4
cards
5.non para
Spss
1
cards
6 t test
Spss,
Independent output,
Equal variance is collum
3
cards
7one way anova
Analyze compare means one way anova,
Output,
If correct
3
cards
1.correlation design spss
Spss,
Output
2
cards
correlation spss
Quick recap on deviation sum of s...,
Spss,
Find total score and total mean
7
cards
reliability and val spss
Spss cronbach recap,
Output,
2 check variability
3
cards
linearity spss
Check linearity,
Spss,
Calc z score for outliers already...
3
cards
simple linearity regression spss
First,
Next spss
2
cards
simple regression analysis add on SPSS
Spss,
Output model summery box,
Output anova
6
cards
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Statistics
- 12 decks
- 317 flashcards
- 17 learners
Decks:
Measurement And Graphical Representation, Confidence And Significance, Hypothesis Testing, And more!
