RFM

RFM

RFM


L. H.
Diese Lernkarten bieten eine Einführung in die Grundlagen der qualitativen und quantitativen Forschung. Sie decken Themen wie Forschungsdesign, Datenerhebung, Analyse und Theoriebildung ab, wobei sowohl induktive als auch deduktive Ansätze behandelt werden. Besonders nützlich sind sie für Studierende und Forscher, die sich mit qualitativen Methoden wie Grounded Theory, Fallstudien und Interviews vertraut machen möchten. Die Karteikarten helfen dabei, die Unterschiede zwischen verschiedenen Forschungsansätzen zu verstehen und diese gezielt in der Praxis anzuwenden.
Cartes-fiches
38
Utilisateurs
1
Langue
Allemand
Catégorie
Psychologie
Créé / Mis à jour
13.01.2015 / 13.01.2015

Cartes-fiches

Possible Case Studys

 - A single organisation (Hofstede at IBM)
 - A single location (Honda in USA)
 - A single event (Swiss grounding)

Evaluating Case Study Design

 - big issue concerns external validity, because its impossible to generalize the findings
 - stil, many researchers point out that it is the attempt to examine particulars rather than generalize
 - may be extended longitudinal or through comparative design (vergleich macht es genereller)

Epistomology vs. Ontology

What is Knowledge? How do we gather knowledge?


What is reality composed of? Ist there an objective reality?

Positivismus

 - Natural Science
 - Deductive
 - Objective
 - Difference btw. normativ and scientific

 

Interpretivism

 - "verstehen"
 - Hermaneutic-phenomenon logical Tradition
 - Symbolic Interaction
 - Induction
 - Subjectiv

Objectivism vs. Constructivism

 - Social phenomena and their meaning are independent and therefore objective

 - Reality is constructed
 - Everyone sees the world through their own eyes
 - Researchers and their objectcs of interest are linked

Types of Theory

 - Middle Range Theories (e.g. Explanation why women are underrepresented)

 - Grand Theory (e.g. Critical Theory)

Definition of Theory

Explanation of observed regularities

Deduction

1.) Theory
2.) Hypothesis
3.) Data Collection
4.) Findings

Induction

1.) Preliminary Assumptions
2.) Datal Collection
3.) Hypothesis
4.) Theory

Key Characteristics Qualitative vs. Quantitative Research

Understanding of Reality
 - is objective vs. is socially constructed

Methods
 - deductive, testing of hypothesis, explanators vs. Inductive, Developing Hypothesis, Understand

Analysis
 - Controlled conditions, fixed procedures, narrow and precise, focus on numbers vs. Natural conditions, flexible, comprehensive, little measuring

 

Research Designs

 - Experimental Design

 - Cross-Sectional Design

 - Longitudinal Design

 - Case Study Design

 - Comparative Design

What is a research design

guides the execution of a research method and the analysis of the data
 

 

Qualitative Methods

 Qualitative Interviews
 - Narrative
 - Problem-Centered
 - Expert
 - Focus Group

Observation

Documents as Data
 

Beginner Mistakes Interview

 - dominant communication style
 - suggestive questions
 - problems with passive listening
 - too rigid handling of interview guide

Kvale's criteria of a successful interviewer

 - Structering
 - Gentle
 - Clear
 - Open
 - Steering
 - Critical

Advantage Observation over Interview

 - seeing through other's eyes
 - learning the native language
 - access to hidden activities
 - naturalistic emphasis
 

Advantage Interview over Observation

 - More ethically defensible
 - Less intrusive
 - Specific focus
 - 

Where to find a subject?

 - companies
 - own interest
 - Problems from practise
 - literature

Research Question Hierarchy

1.) Management Dilemma (rising costs)
2.) Management Question (how can they reach targets?)
3.) Research Question
4.) Investigative Question (What do we need to know?)
5.) Measurement Question (What should be asked?)
6.) Management Decision

Criteria for evaluation of research

Reliability
 - Study repeatable?
 - Measures consistent?
 - often an issue with quant.

Validity
 - concerned with integrity
 - measurement / internal / external / ecological

Objectivity
 - independent of researcher

Trustworthiness
 - How believable
 - apply to other context
 - apply at other times
 
Relevance
 - importance in the field
 - contribution to the literature

Sampling

Strategic

Snowball Sampling

Theoretical Sampling

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