QRM 1,2,3,4

 0    49 fiche    Grand Hubson
Télécharger mP3 Imprimer jouer consultez
 
question réponse
Empiricism
commencer à apprendre
All knowledge originates in experiences and is derived through senses Understand subjectively meaningful experiences
Positivism
commencer à apprendre
Social world can be studied in terms of invariant laws Only observable phenomena can be counted as knowledge Produce law-like propositions
Interpretivism
commencer à apprendre
Knowledge about the world can be acquired in other ways than direct observation Perceptions relate to human perceptions as well Stress both interpretation and observation
Ontology
commencer à apprendre
Philosophy that tries to categorise all existing things
Realism
commencer à apprendre
Distinction between the way the world actually is and the meaning / interpretation people assign to it
Materialism
commencer à apprendre
Material features shape the real world. Not values/beliefs/experiences
Idealism
commencer à apprendre
Reality is only knowable through the human mind and socially constructed meanings
Epistemology
commencer à apprendre
Ways of learning/knowing about the social world
Empathic neutrality
commencer à apprendre
Research cannot be value free so researchers should make assumptions transparent
Pragmatic view
commencer à apprendre
An observation is true if it leads to actions that produce the desired or predicted results
Inductive
commencer à apprendre
Looking for patterns and association derived from observations
Deductive
commencer à apprendre
Propositions or hypotheses are reached theoretically through a logically derived process (using evidence)
Pragmatism
commencer à apprendre
Qual and quan should not be seen as competing and contradictory But as complementary strategies for different types of RQs
Theoretical research
commencer à apprendre
Aim of testing, generating, or enhancing thinking within a particular discipline
Applied research
commencer à apprendre
Using acquired knowledge to contribute directly to the understanding / resolution of a contemporary issue
Contextual research
commencer à apprendre
What exists, phenomena, interest
Explanatory research
commencer à apprendre
Why it exists, linkages among actors, events
Evaluative research
commencer à apprendre
The effectiveness of what exists (actual, not intended), hypothesis, propsition, inquiry
Generative research
commencer à apprendre
Aiding the development of theories/strategies/actions
Summative evaluation
commencer à apprendre
Impact of intervention or policy in terms of effectiveness and the different outcomes that have resulted
Naturally occurring data
commencer à apprendre
Developed to allow investigation of phenomena in their natural settings
Participant observation
commencer à apprendre
Join study population to record actions
Observation
commencer à apprendre
Record actions without becoming a member
Documentary analysis
commencer à apprendre
Study of existing docs
Discourse analysis
commencer à apprendre
Construction of texts and verbal accounts to explore systems of social meaning
Conversation analysis
commencer à apprendre
Detailed examination of talk in interaction to determine how conversation is constructed and enacted
Generated data
commencer à apprendre
Involves construction and requires re-processing and re-telling of attitudes, beliefs, behaviour
Triangulation
commencer à apprendre
Mixing quan and qual methods. Not focus on outputs, but to yield different types of intelligence about the subject
Preceding statistical research
commencer à apprendre
Performing qual before quan When subject is complex (form hypotheses)
Alongside statistical research
commencer à apprendre
Perform qual and quan simultaneously Study different phenomena in the same field of interest
As a follow-up to statistical research
commencer à apprendre
Perform qual after quan When quan needs further detail, explanation or indepth info
Research design
commencer à apprendre
1. Development of RQs 2. design, settings population 3. time, data collection 4. Choice of data collection 5. Negotiation of research relationships
Panel studies
commencer à apprendre
People are interviewed more than once
Repeat cross-sectional studies
commencer à apprendre
Subsequent samples of new participants are interviewed
Probability samples
commencer à apprendre
Elements in population are chosen at random
Non-probability samples
commencer à apprendre
Units are deliberately selected. Sample is not intended to be statistically representative
Purposive sampling
commencer à apprendre
Sample units are chosen because they have particular features which will enable detailed exploration and understanding of the subject
Homogenous sampling
commencer à apprendre
Give a detailed picture of a particular phenomenon
Heterogeneous sampling
commencer à apprendre
Include phenomena which vary widely from each other to identify the central themes that cut across the variety of cases
Deviant sampling
commencer à apprendre
Cases are unusual or special  enlightening
Intensity sampling
commencer à apprendre
Extreme cases of specific phenomena of interest
Typical case sampling
commencer à apprendre
Cases which characterise positions that are normal or average are selected to provide detailed profiling
Stratified purposive sampling
commencer à apprendre
Select groups that display variation so that subgroups can be compared
Critical case sampling
commencer à apprendre
Cases demonstrate a phenomenon or dramatic position
Theoretical sampling
commencer à apprendre
Sample units are chosen on the basis of their potential contribution to the development and testing of theoretical constructs
Data saturation
commencer à apprendre
No new data is obtained through expanding the sample
Opportunistic sampling
commencer à apprendre
Take advantage of unforeseen opportunities
Convenience sampling
commencer à apprendre
Samples chosen according to ease of access
Opt-In approach
commencer à apprendre
Gives individuals the opportunity to indicate that they don’t want their details to be passed on to the research team

Vous devez vous connecter pour poster un commentaire.