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Kartei Details

Karten 38
Sprache Deutsch
Kategorie Psychologie
Stufe Grundschule
Erstellt / Aktualisiert 13.01.2015 / 13.01.2015
Lizenzierung Kein Urheberrechtsschutz (CC0)
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Outcomes of Grounded Theory

 - Concepts
 - Categories
 - Properties
 - Hypothesis
 - Theory

Considerations in Coding

 - Cose as soon as possible
 - Make as many notes as possible
 - Review the codes
 - While you read the transcript for the first time, do not make notes

Theory in Grounded Theory

 - Substantive Theory, based on research on a specific area, näher an Praxis

 - Formal Theory, more general and has more absolute validity

Analytical Induction vs. Grounded Theory

Universal explanations of phenomena by pursuing the collection of data until no cases incosistent with hypothesis are found

Theory is driven from data. Data collection and analysis proceed in tandem, repeatedly referring back to each other

Procedures of Coding

1.) Categories for topics
2.) Sub-Categories and typical characteristics
3.) structure topics with respect of importance
4.) similarities and differences between interviews
5.) answer research question




Mixed Methods - Combining Quantitative and Qualitative Research

Quntitative, Qualitative, Equal Weight (priority)
 - Quan -> qual (sequence)
 - Qual --> Quan
 - Concurrent (gleichzeitig)

Reasons for Mixed Methods 

 1.) Qualitative research facilitates (erleichtern) quantatitive research

 - Providing Hypothesis
 - Theorie aufstellen und dann messen (induktiv -> deduktiv)

2.) Quantitative Research facilitates Qualitative
 - mit Survey alle fragen und dann die spannendsten noch einzeln befragen

3.) Filling the Gaps

4.) Static and Processual Features
 - vergleich über Jahre, da hilft eine Statistik

5.) Solving the problem of generality
 - Qualitative kann sehr generell sein

6.) Facilitation of Interpretation
 - Qualitative kann helfen quantitative zu interpretieren

What are Case Studies

 - brauchen oft qualitative und quantitative Methoden
 - investigate a contemporary (zeitgemässe) phenomenon within its real-life context
 - boundaries btw. phenomenon and context are not clearly evident
 - are of use when many more variables are of interest than data points and more than one result
 - relies on multiple source of evidence (triangular fashion)
 - benefit from existing theoretical propositions to guide data collection