TOE: Toepassing Van Onderzoeksmethoden En Statistiek
Summary
Samenvatting ALLES voor TOE: Correlationeel + Experimenteel + Kwalitatief
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Course
TOE: Toepassing Van Onderzoeksmethoden En Statistiek
Institution
Universiteit Utrecht (UU)
Volledige en complete samenvatting van alle Lectures/Hoorcolleges van het vak TOE. Correlationeel, Experimenteel en Kwalitatief. Daarnaast ook informatie uit de Practica. Geschreven in zowel Nederlands als Engels. Alles wat je nodig hebt voor de toetsen!
Coverage error = dekkingsfout
Onder schatting
Over schatting
Sampling error = steekproef fout
Nonresponse error = nonresponse fout
Adjustment error: de data die verzameld wordt is niet goed behandeld.
Bv. Onderrepresentatie van sommige groepen
De data kan niet meer op een grote hoop gegooid
Data analist 1 kan dit anders doen dan analist 2.
Nonresponse bij alleen sommige vragen Adjustment: imputation
Attrition (in een pannel survey): uitvallen van panelleden
Lecture 2 Correlationeel
Comprehension – retrieval -
judgement – response
Fence sitting: respondenten
hebben de neiging gom een
midden-categorie (de
neutrale) te kiezen
Stappen overslaan in een
enquête: satisficing
We assume that respondents go through the questions diligently: optimizing
3
, Week 2
Lecture 3 Correlationeel
Cronbach’s alpha
Measures internal consistency -> to what extend do the items within a survey correlate?
Correlatie: hoe dichter bij 1 hoe beter
Reliability analysis: improving the scale
Check the correlations between the
individual items and the scale without that
item
Item-rest correlation or item-total
correlation
Rule of
thumb:
In addition, check what happens to Cronbach’s alpha if the scale was to be made without
that particular item
Cronbach’s alpha if item deleted
Rule of thumb: a(alfa) increases the most item may be removed
The variable being predicted: Y : dependent variable
The variable used to make predictions from: X : independent variable
When there is little spread around the regression line, then…
The residual tend to be smaller
The predictions made with the regression equation tend to be more accurate
Standard schattingsfout: standard error of the estimate
a measure of accuracy of the predictions
It’s the standard deviation of the residuals
It’s roughly, the average error we make when using the regression equation to make
predictions
To test if the linear relationship is significant, ther are 2 tests:
1. Test for the slope
2. Test for explained variance
NHST steps:
1. Formulate hypotheses H0 and Ha
2. Collect data
3. Calculate the p- value
4. Decide whether or not to reject H0
4
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