Theory and practice in qualitative research- Paper 3 Flashcards
What are the characteristics of on deductive research methods?
- It is an approach to research based on evaluating theories by testing hypothesis
- More able to make generalisations Evidence is supported by a conclusion
- Paradigm/Theory ► predictions ► observation/experiment
What are the characteristics of on inductive research methods?
- An approach to research based on exploring/observing data and developing theory from the outcomes
- The focus is on understanding social process. Evidence is used to reach/suggest a conclusion.
- Observation/experiment ► Generalizations ► Paradigm/Theory
What is phenomenology?
It is an approach to psychology that belives, in order to catch and understand the meaning of psychological subject matter, we need to look at it through the eyes of the people actively involved. This approach attempts to understand the unique way in which individuals experience social events.
What is the difference between an idiographic and a nomothetic approach
Idiographic approach
Research is concerned with exploring uniqueness – what makes a person distinctively individual. There are different approaches to explore a particular type of experience
Nomothetic approach
Research is concerned with identifying general laws about human behaviour. Where predictions are made, people are sampled, and statistical methods are used.
What are the characteristics of Qualitative and Quantitative data?
Qualitative
- Qualitative research is based on the assumption that “the truth” is somehow lodged in the data and that the researcher and peers can arrive at the same conclusions.
- Qualitative data is usually contextual, textual, and narrative. It is difficult to express in numerical terms, and is rich in detail and description.
- Basis of knowing: meaning and discovery The data is open for interpritation – subjective
- It wishes to gain an individual interpretation of an event, not make generalisations
- It uses an idiographic approach
Quantitative
- This data is numerical and is used for descriptive statistics
- Basis of knowing: cause and effect
- The data is not open for interpritation–objective
- It wishes to make generalisations from the sample to the population
- Nomothetic approach
What are some examples of qualitative and quantitative research methods?
Qualitative
- Observations
- Case studies
- Content analysis
- Interviews
Quantitative
- Experiments
- Correlation studies
What are the strengths and limitations of the qualitative research method
Strengths
- Provides rich data, in-depth descriptions of individual experiences based on concepts, meanings and explanations – more holistic approach to understanding the individual’s/group’s behaviour
- It can investigate complex and sensitive issues that can be impossible with quantitative methods, e.g. violent relationships, illness.
- Explains phenomenon – goes beyond mere observation – for example, WHY people believe in UFOs
- Identify and evaluate factors contributing to solving a problem.
- It can allow us to explore new areas of research
- Generates new ideas and theories
- To generate new theories to explain and overcome problems - grounded theory
- Studied in their own environment - validity
_ Limitations_
- Very time-consuming and generates a huge amount of data
- Data analys is difficult – no clear strategy for analysis
- Interpretation of data may be subjective, might lead to** researcher bias** (Reflexivity should help)
- Replication is difficult to replicate
- Labor intensive, expensive, time consuming, general large amounts of data
- Look at the specific, not the general – limits scope and generalizability
Define generalization and the different types
- Many qualitative researchers have a constructivist view; All phenomena are time and context specific (it is therefore not generalisable to other times and contexts)
- Qualitative research is often for a specific context or case (does not aim to generalize – idiographic approach, e.g. intrinsic case studies), therefore findings must be generalized with caution
Definition: generalising findings from a study means that the results are relevant outside the context of the study itself
Representational – findings can be applied to populations outside the study.
Inferential – settings outside the setting of the study. Transferability or external validity
Theoretical – theoretical concepts derived from the study can be used to develop further theory
Describe the three main sampling *techniques *used in qualitative research
Purposive – Chosen because of particular characteristics that will help the researcher explore the research topic.
Snowball – Where participants in the study are asked if they know other potential participants. Can be used to locate hidden populations
Convenience/Opportunity – a particular group of people who happen to be available.
What is a grounded theory
An approach to build a theory from information contained in qualitative data. It does not impose external assumptions or ideas.
What are participant expectations?
If the participant knows or guesses the aim of the research, the participant may alter their behavior to please the researcher or act in the opposite way that the researcher wants.
What is researcher bias?
In a qualitative research such as observations, or interviews, researchers may misinterpret behavior, data or responses which may cause researcher bias. The researcher’s own beliefs may determine the research process.
Define reflexivity
**Reflexivity: ** An evaluation or documentation of the researcher on the impact on the collection and analysis of data from beliefs, attitudes, values and reactions to the object of the study. The researcher must be aware of his or her own contribution to the construction of meaning in the research process. Reflexivity is believed to increase credibility.
What are the two kinds of reflexivity?
Personal reflexivity: To reflect on how researcher’s bias, values, beliefs and experiences may have influenced the research.
Epistemological reflexivity: Thinking about the ways knowledge was generated (research methods that was used)
What is triangulation, and why is it used?
Triangulation:
- An approach to research that uses a combination of more than one research strategy in a single investigation.
- a cross-checking of information and conclusions in research through the use of multiple procedures.
- It is used in order to increase credibility/trustworthiness.
- Credibility can be supported as a general outcome of triangulation if separate methods, theories, different ways of collecting data or interpreting it by using more than one research result in fairly close agreement.