at Universität Konstanz | Flashcards & Summaries

Flashcards and summaries for Methoden at the Universität Konstanz

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Theory

A set of statements being connected with each other in a logical way.

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Causal inference

Inference, that is interested in causality hidden in a random process (why-questions)

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Inference

A process in which one obtains new findings from known available information

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Learning-Assistant with spaced repetition algorithm

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Data generating process (DGP)

The source of all possible data. It is a random process in which possible data is realized in an empirical research

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Random error

Error, which happens randomly and is unpredictable.
Example: student writes exam being ill

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Systematic error

Error whose direction is consistent and which is avoidable.
Example: chose easy questions for an exam

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Descriptive inference

Inference that goes beyond the data to describe something behind that (what-questions)

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Estimation

Infer population parameters from a sample

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Unit

Basic element of observation for which data are collected (e.g. students)

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Verifiability

Old data and similar design (same again)

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Repeatability

New data and similar design

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Robustness

Old data and different design (change geographic place)

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Methoden at Universität Konstanz

Flashcards and summaries for Methoden at the Universität Konstanz

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Methoden I

Methoden 1

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Methoden at Universität Konstanz

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Methoden I

Methoden 1

M1 Methoden

Methoden 1

Methoden 2

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