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Lernmaterialien für Empirical Research Methods an der TU München

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Decisions can only be as good as...
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as available data
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When does data become evidence?
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When interpritation has been "confirmed" or found again several times.
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What determines the regression model?
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Data structure & Data type
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Define THEORY, LAW, PARADIGM
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Paradigm: Generally accepted scientific procedure Theory: Combining one or more than one hypos which are tested several times. Laws: High degree of corroboation
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What is the model called when only the link function is different from logit?
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Probit
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In which extrapolation methods noise of previous step matters?
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Moving average Autoregressive moving average
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What assumptions are not mandatory rather nice to have?
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Homoskedasticity (u has constant variance) u's are ND
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Difference between verification vs. falsification
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falsification: having possibility to make a contradictive observations. verification: characteristics of data which is "incorrect so far/untill proven opposite" and is not desired!(there are black swans)
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What is good with Random Effect Regression?
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We don't loose n observation
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Difference between median for even and uneven n...
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Mean: for uneven n the median Xmed is value in the middle of a sorted list. For even n: arithmetic mean of 2 values in the middle.
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Which are the main criteria of scientific hypotheses?
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generall validity (beyond individual situation); falsifiable (possible to imagine events in conflict with conditional clause);
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What is population and how to be chosen? What is the advantage of correctly chosen population?
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Population - set of units, from which sample will be drawn. Deliberately chosen population is usual, random - not. Correctly chosen population = determined limits of generalizability + elimination of irrelevant differences
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Beispielhafte Karteikarten für deinen Empirical Research Methods Kurs an der TU München - von Kommilitonen auf StudySmarter erstellt!

Q:
Decisions can only be as good as...
A:
as available data
Q:
When does data become evidence?
A:
When interpritation has been "confirmed" or found again several times.
Q:
What determines the regression model?
A:
Data structure & Data type
Q:
Define THEORY, LAW, PARADIGM
A:
Paradigm: Generally accepted scientific procedure Theory: Combining one or more than one hypos which are tested several times. Laws: High degree of corroboation
Q:
What is the model called when only the link function is different from logit?
A:
Probit
Mehr Karteikarten anzeigen
Q:
In which extrapolation methods noise of previous step matters?
A:
Moving average Autoregressive moving average
Q:
What assumptions are not mandatory rather nice to have?
A:
Homoskedasticity (u has constant variance) u's are ND
Q:
Difference between verification vs. falsification
A:
falsification: having possibility to make a contradictive observations. verification: characteristics of data which is "incorrect so far/untill proven opposite" and is not desired!(there are black swans)
Q:
What is good with Random Effect Regression?
A:
We don't loose n observation
Q:
Difference between median for even and uneven n...
A:
Mean: for uneven n the median Xmed is value in the middle of a sorted list. For even n: arithmetic mean of 2 values in the middle.
Q:
Which are the main criteria of scientific hypotheses?
A:
generall validity (beyond individual situation); falsifiable (possible to imagine events in conflict with conditional clause);
Q:
What is population and how to be chosen? What is the advantage of correctly chosen population?
A:
Population - set of units, from which sample will be drawn. Deliberately chosen population is usual, random - not. Correctly chosen population = determined limits of generalizability + elimination of irrelevant differences
Empirical Research Methods

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