KEY WORDS Flashcards
Interpretive method
A method in which qualitative data are not taken at face value, but which uses techniques for understanding what might have been meant while taking the specific context and subjective intentions into account.
Representation
Data that are not necessarily objective facts but are at best representations or expressions of factual situations.
Naturalistic approach
An approach that studies things in their natural settings and contexts.
Natural setting
The specific historical and geographical context/situation which people try to interpret and make sense of.
Context
The specific historical and geographical context/situation which people try to interpret and make sense of.
Subjectivity
The way individual personal judgment is shaped by personal opinions and feelings, as well as meanings allocated to the situation by the person being confronted.
Subjectivity of Researcher
The way individual researcher’s interpretations are shaped by personal positionings, ideologies, interpretative/theoretical frameworks, opinions and feelings.
The subjectivity of Participants researched
The way the participants subjectively interpret their situation and how their actions are led by these interpretations.
Meaning
The subjective significance allocated by a person to a situation, or the sense this situation subjectively imparts to that person.
Meaning
The subjective significance allocated by a person to a situation, or the sense this situation subjectively imparts to that person.
Induction
Making an inference or drawing general conclusions based on empirical observations in a particular situation.
Deduction
Deriving a hypothesis by means of logical reasoning based on preset general theoretical insights.
Exploratory
Methodological approach attempting to discover the hitherto unknown, and thus to contribute to theory building.
Confirmatory
Methodological approach attempting to find confirmation of theoretically derived hypotheses.
Explanation
Explaining phenomena by referring to the necessary and sufficient causal relationships between causes and effects
Understanding
Understanding phenomena by referring to the subjective reasons people have for their actions or the subjective sense people make of their actions.
Research Design
Important decisions the researcher needs to make about the way the researcher wants to answer the research questions, such as:
• general setting, like the temporal and spatial setting
• which general methods would help to find answers
• how to collect data (including sampling methods)
• what methods to use to analyse data
• ethical issues
• how to report results
Research Method
The technical procedures governing how to apply a specific method.
Validity
The way the analysis results represent what they are supposed to represent in the current situation, and how far they can be generally applied to other situations.
Reliability
The way in which the results of the analysis can be reproduced, and are robust for disturbing influences.
Credibility
The confidence in the ‘truth’ of the findings.
Transferability
The way the findings have applicability in other contexts.
Dependability
The way the findings are consistent and could be repeated.
Confirmability
The degree of neutrality or the extent to which the findings of a study are shaped by the respondents and not by researcher bias, motivation, or interest.
Research Design
The overall research strategy to find the answers to your research questions. It constitutes the blueprint for the collection of data and the analysis of data.
Societal Problem
Science wants to contribute to a better world, and therefore wants to help solve certain problems. So every research project starts with identifying a practical problem we need to cope with, in society and to which solution science aims to contribute.
Societal Relevance
The way research can contribute to the solution to a societal problem. Note that science usually can not solve to the problem as a whole, but at best can only modestly help to make a small step towards a solution.
Knowledge Problem
Research produces new knowledge and insights. So the contribution of science to society is always focussed on something we do not know already and which we need to know to solve a certain practical problem. It is therefore important to explore what we already know about the topic of our research and to identify the knowledge gap we are confronted with when we try to solve a practical problem.
Scientific Relevance
The scientific relevance of our research is the contribution we can make to filling the knowledge gaps we are confronted with. This can be empirical knowledge (empirical facts), but also conceptual/theoretical knowledge about relevant aspects and their (causal) relationships.
Feasibility
As engaged researchers, we are always ambitious and instantly would like to improve the world. The time frame and budgetary and other limitations of our research project, however, often do not allow this. We, therefore, need to be very attentive and modest about what is really feasible within the framework of our research project.
Research Objective
The research objective is the feasible goal we believe can be realized within the framework of our research.
Research Question
The knowledge problem we are addressing in our research can often be translated into a number of concrete research questions, which we seek to find an answer to in our research.
Theoretical/Conceptual Framework
The research questions we formulated, often involve a number of concepts/variables and propositions about the relationships between these concepts/variables. They might be inspired by existing theories and proposed adaptations or enhancements or alternative formulations of these existing theoretical insights. This is usually the basis of a theoretical/conceptual framework exemplifying your first thoughts about how to conceptualise and theorise your research questions.
Unit of Analysis
In science, we often cannot produce knowledge which is universally true, and we at best can only say something about a certain situation or a certain case under specific circumstances. The unit or entity we wish to say something about at the end of our study is what we call our unit of analysis. The unit of analysis will be determined by your research question.
Unit of Observation
Within the unit of analysis, we often choose a or several unit(s) of observation, which we actually empirically observe and collect data about, to be able to infer conclusions about the (broader) unit of analysis. The unit of observation is determined largely by the method of data collection that you use to answer your research question. In some exceptional cases, the unit of observation might be the same as the unit of analysis, but in most cases, it is not.
Research Sample
The method for the selection of the units of observation is your sampling method. A research sample is a group of people, objects, organisations, or situations taken from a larger population or unit of analysis. The sample should be representative of the population to ensure that we can generalise the findings from the research sample to the population as a whole.
Method of Data Collection
Because of the situational or contextual openness of qualitative research methods, the method for collecting qualitative data is often seen as crucial. In our research design, we need to underpin our specific method of data collection. However, in contrast to some common research practices in qualitative research, this is certainly not sufficient! We also need to underpin our method of analysis of qualitative data.
Method of Data Analysis
In qualitative research it is sometimes forgotten, that one can analyse qualitative data in many different ways, as we also learn in this course. In our research design, we, therefore, need to be explicit about what method of analysis we are using and need to underpin, why this method is suitable for finding the answers to our research questions.
Time Schedule
Collecting qualitative data and analyzing qualitative data is not an easy task, and is certainly much more than a common conversation with participants and everyday interpretations. Scientific research in the field of qualitative research is a tedious and time-consuming job, which demand thorough and realistic time planning. A time schedule is, therefore, an important element in your research design.
Research Ethics
Research should be directed to helping to solve societal problems, and therefore is an ethically responsible job. In doing so, it should also avoid causing harm, distress, anxiety, pain or any other negative feelings to participants and participating organisations. This does not imply that in the conclusions of your research you cannot criticise the behaviour of participants or participating organisations, but it needs to be constructive.
Honesty
Honesty means, among other things, reporting the research process accurately, taking alternative opinions and counterarguments seriously, being open about margins of uncertainty, refraining from making unfounded claims, refraining from fabricating or falsifying data or sources and refraining from presenting results more favourably or unfavourably than they actually are.
Responsibility
Responsibility means, among other things, acknowledging the fact that a researcher does not operate in isolation and hence taking into consideration – within reasonable limits – the legitimate interests of human and animal test subjects, as well as those of commissioning parties, funding bodies and the environment. Responsibility also means conducting research that is scientifically and/or societally relevant.
Scrupulousness
Scrupulousness means, among other things, using methods that are scientific or scholarly and exercising the best possible care in designing, undertaking, reporting and disseminating research.
Independence
Independence means, among other things, not allowing the choice of method, the assessment of data, the weight attributed to alternative statements or the assessment of others’ research or research proposals to be guided by non-scientific or non-scholarly considerations (e.g., those of a commercial or political nature). In this sense, independence also includes impartiality. Independence is required at all times in the design, conduct and reporting of research, although not necessarily in the choice of research topic and research question.
Transparency
Transparency means, among other things, ensuring that it is clear to others what data the research was based on, how the data were obtained, what and how results were achieved and what role was played by external stakeholders. If parts of the research or data are not to be made public, the researcher must provide a good account of why this is not possible. It must be evident, at least to peers, how the research was conducted and what the various phases of the research process were. At the very least, this means that the line of reasoning must be clear and that the steps in the research process must be verifiable.
Ethics Creep
The attempt to govern and regulate social scientific research in the name of ethics, although substantial and situational ethical judgement might diverge from these top-down ethical (governance) claims.
Informed Consent
The procedure for informing the participant about the objectives of your research and about the way you will process and publish the information one gains from the participants, and for getting permission for it from the participant, beforehand or in hindsight.
Community Informed Consent
In qualitative research, we do not only deal with individual participants, but also with participating communities or organisations. So it might be important, to also get joint informed consent from that community or group of people.
Individual Informed Consent
As far as possible it is important to get informed consent from each individual participant.
Analyzability
Completeness and accuracy of analysis and interpretation.
Transparency
Completeness and full disclosure of all aspects of research.
Usefulness
Ability to do something of value with the outcomes.
Explanatory Sequential Mixed Methods Design
A mixed-methods design in which one used qualitative research as method following quantitative research to exemplify and explain the results found in the quantitative research.
Exploratory Sequential Mixed Methods Design
A mixed-methods design in which qualitative research is first used to explore the conceptual field before one does a more targeted quantitative analysis of these concepts or dimensions.
Convergent Mixed Methods Design
A mixed-method design, in which parallelly conducted qualitative and quantitative research provide enhancing insights into a specific topic.
Population
The total population of cases one wants to draw conclusions on.
Case
A specific case out of the total population of cases one wants to empirically investigate to base and infer the conclusions of the research on.
Observation
The degree of neutrality or the extent to which the findings of a study are shaped by the respondents and not by researcher bias, motivation, or interest.
Variables
The attributes or dimensions or variables of a specific observational unit which are assessed in your empirical research.
Cross Case Study
A study in which several cases, often a larger number of cases, are investigated, and compared with each other.
Case Study
A study in which one or a very small number of cases are investigated.
External Validity
External validity refers to how well the outcome of a study can be expected to apply to other settings. In other words, this type of validity refers to how generalizable the findings are.
Internal Validity
Internal validity is the extent to which a study establishes a trustworthy cause-and-effect relationship between a treatment and an outcome. In short, you can only be confident that your study is internally valid if you can rule out alternative explanations for your findings.
Interview
The collection of data by asking people questions and following up or probing their answers
Structured Interview
Interview in which structure of the interview as well as all questions and their wordings are predetermined, and in which the participant hardly has any influence on the development of the interview
Semi-structured Interview
Interview in which main topics are predetermined, but order in which topics are addressed and the wording of questions are left open, to suit the situation and the way the interview develops. Also, new (sub)topics may pop up. To each of the topics, the interviewer also formulates probing questions that link up to the answers the participant gave before. In semi-structured interviews, the participant has a substantial influence on the course of the interview
Focus Group Interview
A group discussion (with 5-12 participants) moderated by the interviewer about a specific topic, with the purpose of collecting data on the dynamics of the interactions between the participants
Expert Interview
An interview in which there is a strong imbalance between interviewer and participant with respect to knowledge of the topic at stake. It may become challenging to judge in real-time the answers given and to follow up with the right probing questions. The interviewer can easily be overwhelmed or misled, or become a part of the PR strategy of the expert participant
Narrative Interview
Interview type often used in research on oral history, where except for an initial invitation to tell their story and some further animations to continue, the interviewer leaves the initiative for how to tell their story fully to the participant.
Phenomenological Interview
Interview type which specifically focusses on getting information on experiences, and the structure of these experiences
Questionnaire
In an interview, we are asking people questions. If it is a structured interview, we can use a list of written-out questions, which we then orally pose to the participant and jot down their answers ourselves. An alternative would be to use a written questionnaire which we then ask the respondent to fill out. Increasingly we provide questionnaires online and ask respondents to fill them out online.
Survey
A ‘survey’ is a term which in everyday talk is used interchangeable with ‘questionnaire’ but actually has a broader meaning. A survey is the process of setting up a standardised set of questions, distributing it among respondents, the collection, aggregation and analysis of the responses. So a questionnaire is actually only a part of doing a survey.
Ethnographic Interview
Interview focussing on the culture of a community and on the specific ways people live their everyday life in that community. Since it addresses the shared culture of that community, it is not so much interested in the individual opinions and actions, but in the inter-actions and shared culture within the community.
Photo-elicitation Interview
An interview, which next to the interview questions, also uses visual material like photos, as stimuli for the participant to discuss certain topics