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38 Cards in this Set

  • Front
  • Back
Key differences between qualitative and quantitative research(5)
Qual.

Rely on observation
Variety of data collection methods
Researcher collects data personally
Observing participants in naturalistic environments
Relatively small sample

Quan.
Rely on numerical data
Surveys to collect data
Self-report data
Experimenting in a controlled environment
Relatively large sample
The Scientific Method (6)
Start with an interesting question
Create initial H/RQ
Previous research suggests…
Formalize the H/RQ
Conduct the observation, measurement, or experiment
Analyze and interpret the data
Qualitative research characteristics
Empirical
Verifiable or provable by means of observation or experiment
Conclusions are based on evidence (data)


Inductive Reasoning
Specific data lead to General conclusions

Attempts to identify/explain a Phenomenon
A repeated occurrence, circumstance, or fact that is perceptible by the senses


Looking for patterns of behavior
What are the “norms”

Allows participants’ voices to be heard
Participant quotes support researcher interpretations


Observations lead to explanations
Reporting – what happened
Interpreting – why it happened
Empirical research
Verifiable or provable by means of observation or experiment
Conclusions are based on evidence (data)
Reasons for conducting qualitative research
To identify and understand:
The influence of a specific environment on human behavior

How specific groups of people create meaning

Specific behaviors in which people engage
Inductive Reasoning vs. Deductive Reasoning
Inductive Reasoning
Specific data lead to General conclusions

Deductive:
Taking general conclusions and applying them to a specific instane
Phenomenon
A repeated occurence, circumstance, or fact that s perceptible by the senses
Bias
Bias
A tendency or inclination that prevents unprejudiced consideration
Reactivity Bias
Influence of the researcher on the setting and participants
Selection Bias
Specific data stand out to the researcher
Focusing on novel or expected behavior
Unique Findings
Findings that are not typical.
Data Triangulation
Using more than one method of Qualitative(!!!) data collection
Interdisciplinary trinagulation
Researchers from different disciplines working together
Triangulation
Using multiple sources of information to validate your findings.

There are several different types of triangulation
Investigator Triangulation
multiple researchers collecting and analyzing data
Methodological triangulation
collecting both qualitiative and quantitative data in the same study
Conceptual definition
the definition of a variable in a given study
Purpose statement
explanation of what idea or goal duided data collection/analysis and why the research is necessary
Complete participant
researcher interacts with participants. they are not aware of intent
Participant-as-observer
researcher interacts with participants, they are aware of intent.
Observer-as-participant
Researcher does not interact with participants. This is a "passive" observation.
Sampling techniques (8)
Nonprobability Sampling
-Convenience
-Volunteer
-Snowball
-Network
-Purposive
-Quota
-Criterion
-Random Purposive Sampling
Saturation
The data starts to repeat. You have not observed or "learned" anything new for some time.
Field Study
View a phenomenon or group of people in a natural setting
-observer as participant/participant as observer)

Can Study people/phenomena that would normally not volunteer or consent to study
Field Notes
Read through immediately after every data collection session

take more notes than you need
Semi-Structured Interview Format
Core questions are asked of all participants
-Open ended questions

Probing questions added as necessary to gain deeper insight
Probing questions
extemporaneous responses to gain more detail
Focus Group
Small group selected to discuss a particular topic or issue so others can understand why and how they respond the way they do
Narrative approach
people tell stories as a way of knowing, understanding and explaining their lives.
-an unstructured monologue from participant.
Ethnography
holistic description of interactants in their cultural or co-cultural group.

researcher is immersed in the field for long periods of time.
-complete participant
Reflexive nature of data collection and analysis
occurs DURING the data collection process
-less formal
Reflexive Analysis vs. Formal Analysis
Formal analysis occurs after data collection is OFFICIALLY CONCLUDED (saturation)
Analysis vs. Interpretation
Analysis
Breaking down raw data to find "norms" or patterns

Interpretation
Making sense of the patterns with logical assumptions.
Coding data
Reducing data down to "essential elements"
Categorizing data
Broad titles that group similar pieces of coded data together
Grounded theory approach and steps
A systematic approach of coding and categorizing data that leads to conclusions


Based on many readings of database
First pass
Second pass (open coding)
--Highlighting essential elements
Third pass (axial coding)
--Developing preliminary categories
Fourth pass and beyond (selective coding)
--Refining and creating new categories
Respondent validation
Allowing participants to verify the accuracy of your interpretations
Primary Sections of a Qualitative Research Report
Introduction/Review of Literature

Method

Results & Discussion

Conclusion