Exam 3
structure of PAR proceeds in the following steps
1. A project begins with the initial identification of a problem by the researchers or the participants, or both together 2. Collaborative discussions and negotiations among all stakeholders serve to refine the sense of the problem 3. The research partners review what is already known and published about the issue and/or attempt to address a problem 4. Researchers work to redefine the problem more clearly and formulate an agenda for change 5. Methods for research and evaluation are selected 6. Research partners implement the change and collect and analyze data to evaluate their efforts 7. The results are prepared, including recommendations, and disseminated for wider audiences
critical theory articulated questions
A clear definition of a key concept or problem is presented A description of how the construct is currently conceptualized is stated, and the historical formulation's place in thought is summarized, often as a literature review The current definition is critiqued to reveal gaps and limitations in the concept/problem formulation's ability to explain the phenomena on which it is focused, and other problems that it does not highlight The researcher conducts research and presents data that are informed by the analytical and historical critique
reflexivity
A deliberate and systematic process of self-examination used in qualitative research In observational and participation studies, these are the only data that will be collected and analyzed The reactions and views of the qualitative researcher have the potential to color the data collection and analysis processes
computer-assisted qualitative data analysis (CAQDA)
A high-tech (i.e., computerized) method for qualitative data analysis Allows for high-technology data storage and management (as opposed to low-technology data storage and management) where data is managed/organized via computerized software High-technology data storage and management still requires information to be transcribed into the software, at which point software may facilitate the process by enhancing: Text-based searches Codebook development Tagging and retrieval Memoing Theory building Teamwork Multimedia capabilities Support for mixed-method analyses
institutional review board (IRB)
A mechanism for regulatory oversight that exists within a university, medical center, or other industry in which one or more committees of informed individuals review research proposals to ensure that the study is safe and ethical for all participants
human subjects
A person who is invited and consents to participate in any kind of research Any study involving human subjects must recognize potential conflicts of interest and commitment
develop a sampling approach
A plan should be devised that specifies how sampling will be conducted It will reflect the study design, including utilization of statistical methods for quantitative designs Sample size should be determined
cluster sampling
A probability-based sampling method in which groups or programs, rather than individuals, are randomly selected, and every member of that individual group or program is invited to participate in the study
informed consent
A process in which potential human subjects learn about the purpose of the study and what is being asked of them as participants and to subsequently decide whether or not to participate Typically requires prospective written consent There are some circumstances where the requirement of prospective informed consent may be waived (e.g., retrospective review of de-identified data) Requirements for informed consent include: Making sure the prospective subject understands the study and the risks/benefits involved Consideration of whether prospective subjects have the ability to give consent and whether others may provide consent on their behalf Balancing any incentives or reimbursement for participation to avoid coercion
member checks
A process whereby investigators check out their assumptions and emerging interpretations about the data with the original stakeholders who provided the information
proximity connectors
A search logic that analyzes the spatial relationships between coded segments
Boolean connectors
A search logic that uses a form of algebraic terms to connect search terms, allowing more control over the information retrieved than when using individual search terms
semantic connectors
A semantic relationship indicator that specifies a hierarchical or other type of relationship between codes
how to report the analysis
A sequence used by Williams and Irurita (1998) to describe and elaborate on the data patterns they analyzed is an effective format for reporting qualitative analyses This format consists of: A name or label for the category The authors' description of the meaning attached to the category A quotation from the raw text or original data to elaborate on the meaning of the category and to show the type of text coded into the category Researchers should try to keep their reports of qualitative analysis as simple as possible; this means presenting very few themes or findings in each report
Tuskegee experiments
A series of experiments that led to public outcry and the implementation of human subjects regulations on research Unethical practices included: Deceptive practices and withholding treatment without regard to subject well-being or consent; High levels of risk without regard to pain and suffering, and without outweighing the potential benefit
conflict of interest
A situation in which the researcher derives personal benefit from the research at the expense of subjects and/or the institution in which the research is being conducted Includes suppression of findings that would have an unfavorable impact on the investigator
audit trials
A systematically maintained set of documentation; it allows a researcher the means of managing record-keeping and encouraging reflexivity about a project and its goals, which typically includes: All data generated in the study Explanations of all concepts and models that shaped the study design Explanations of procedures used in data collection and analysis Notes about technical aspects of data collection and analysis as well as decisions taken throughout the study to refine data collection procedures and interpretations Personal notes and reflections Copies of all instruments and interview protocols used to collect study data
step 3: compare and contrast data sources utilizing a particular code
After reading and coding one particular data source and selecting one code, compare and contrast other data sources utilizing that code (cross-case analysis) The comparison and contrasting allows for clarifying what is meant by a particular data unit or coded block of text Repeat the process, comparing and contrasting each data source to others until all cases in a sample have been analyzed
inductive process
Allows research findings to emerge from the raw data that has been collected, without the restraints imposed by stricter methodologies or preestablished theories Therefore, a researcher using an inductive naturalistic approach is not only centrally concerned with the identification of key themes and findings, but also with epistemology, or what counts as knowledge
written reports should include
An introduction to the topic or group under study, including a discussion of the research purpose and the relevance of the research A literature review or "background" section, illustrating past research on the topic, including a discussion of any gaps in this past literature that might be filled by the current analyses A methods section that details the sample, data collection and processing procedures, analytic strategies, and potential biases/limitation of the research A findings section detailing one or a few broad findings and all the specific nuances found within these findings; for both broad and specific sets of findings, numerous examples of original data should be presented and explained in full A discussion and/or conclusion section, summarizing what was found in the results and the implications of the findings Any tables, charts, graphs, or other appendices that make the discussion of methods or findings clearer to the reader References to past research on the topic
evidence of the training of key personnel
Anyone participating in obtaining consent from subjects, collecting data, administering interventions, analyzing data, and presenting or writing findings has adequate training and knowledge about the protection of human subjects This training must be supplemented by annual continuing education
calculating sample size
As the sample size increases, the power increases If variation in outcome decreases, the power increases If variation in outcome increases, the sample size needs to increase The power increases as the effect size increases If the effect size decreases, the sample size needs to increase
publication practices and responsible authorship
Assignment of due credit: authorship Persons who were instrumental in the initial conception and design of the study Persons who were responsible for the collection and interpretation of the data Individuals who wrote the results or substantively edited the presentation before publication Should be clarified by institutional policies, and clarified in advance of any projects
phenomenology process entails
Biographical storytelling and informal discussion, reflecting on aspects of personal experience Researchers listen and probe for all areas of experience, although they do not direct or influence the informant's narrative
mentor/trainee responsibilities
Common within the research community, mentor/trainee relationships should have clear expectations, which may include: How much time will the trainee be required to spend on the mentor's research? How much direct time will the mentor spend with the trainee in providing individual or group supervision? What criteria will be used to evaluate the performance of the trainee? What are the authorship expectations for different research projects? What are the standard operating procedures regarding the conduct of the research, including the acquisition, access, and storage of data?
systematic sampling
Considered equivalent to random sampling, it requires dividing the population by the subject pool, then taking every one of that number of occurrences (e.g., every fifth individual) from the population list For example: If a population has 100 individuals, and a study's sample is 20, 110/20 = 5; every fifth individual should be recruited
qualitative data analysis
Consists of a broad range of approaches to the management and analysis of qualitative data It may: Be accomplished by an individual researcher or by a team Utilize a low-technology approach or a high-technology approach Reflect a broad spectrum of epistemological stances Requires consideration of: The amount of time and funds allocated to the analysis process The volume and structure of the data One's comfort level with using what may be unfamiliar software Epistemological stances guiding one's research Qualitative data sources include: Loosely structured, lengthy narratives derived from in-depth interviewers Short-answer responses to open-ended survey questions Field notes taken by participant observers Audio or video recordings of events Secondary data (e.g., documents, brochures, minutes of meetings) created by persons other than the investigators
project-based methods
Daily operational procedures that help to minimize errors in all processes related to data collection, data storage, and data management
metadata
Data about data, including new text and/or graphic products created by the researcher to represent key themes, constructs, and relationships that emerge from and are applied to a body of qualitative data
accepted practices
Data collected must be accurate to be of worth Statistical methods must be adequately employed
grounded theory steps are carried out concurrently
Data is collected through narratives, focused interviews, informal discussion, participant observation, and field notes Data is coded: If it is similar to existing information, it goes into that category; if not, it forms a new category Categories emerge and are refined, allowing for generalization into a new grounded theory
conceptual labels and index codes
Data is consolidated from its numerous sources and then transcribed These documents and their corresponding provenance are then eligible for a process of active reading A key early step in the analysis process by which the reader interacts with the data by making notes in reaction to what is read During the active reading process, investigators note conceptual labels Words or short phrases serve as a "tag" for segments of text, categorically describing information the segments contain Labels are dynamic and may evolve over the course of a study Investigators should keep careful records of when codes are created, split, or merged and when their definitions or application criteria are refined Through the inductive process of active reading, conceptual labels become more systematic and consolidated, developing into index codes: A set of conceptual labels that indicate places in a text where one can retrieve information on a particular topic These are compiled into a code directory: A directory that includes operational definitions, as well as inclusion and exclusion criteria (i.e., instructions about circumstances under which the code should or should not be applied)
data storage
Data must be securely maintained, held for a specified amount of time, and destroyed in accordance with the study protocol
ownership
Data ownership varies, pending the specific study The institution, the grant, or the researcher all may be owners of the data; this should be specified within the study proposal
the importance of data processing
Data processing includes making permanent records of interviews, field notes, or other documents that count as data Data processing should begin simultaneously with data collection, commencing the back-and-forth nature of collection and analysis and allowing early themes to arise Data should be stored and replicated so that the originals are never altered Transcribing is the process of exactly converting audio information into a written record; hand-written notes should be entered into the record as well Transcriptions should record laughs, hesitations, interruptions, emphases on particular words and phrases, and other speech patterns as much as possible, alongside the actual words of the conversation Researchers should expand upon their primary data by keeping informal notes, memos, or a field journal during data collection This information can: Highlight key events during observations or interviews and thereby serve as a check on one's primary data source Serve as an emotional outlet for researchers during data collection and analysis when things get particularly frustrating Serve as the first step to data analysis by getting one's main ideas out on paper to propel more advanced analytic thinking about the study topic
sample approach
Describes the characteristics that the subjects who are actually participating in a study will have (e.g., age); criteria by which people will be included versus excluded; and what interventions they might be eligible to receive in a study
research aims of ethnography
Describing the insider's view, categories of language, thought, rules for behavior and relationships, and symbols Conducting studies in the natural settings of informants' lives by immersion and participation Regarding participants as informants who help to direct and interpret the topic of study and verify or refute conclusions Focusing on exploring the particulars of the specific setting in time (historical, life course, developmental), people, and place (physical and culturally constructed)
determining sample size in quantitative research
Determining a sample size is less important than selecting the "right" participants for the aim of the study (i.e., individuals who can provide depth of information)
the goals of description and explanation
Different than quantitative research, qualitative studies do not attempt to create findings generalizable to a broad population; rather, they provide a truthful and in-depth perspective of a particular sample The value lies in the "thick description" Outcomes depend on recruiting the most informative people possible to illuminate the topic of interest
critical theory
Epistemology where researchers take the stance that knowledge (and theory) is relative to particular people and times; multiple social realities exist that are distributed across various segments of society and groups The aim of this is positive social and political transformation, including reducing social injustices The form of results for critical theory research is new data as well as new questions and analytic frames for thought has no formal procedures; rather, pursuit of knowledge is used to address clearly articulated questions
depth versus breadth
Exploring specific experiences of a large number of individuals (seeking breadth) or a greater range of experiences from a smaller number of individuals (depth)
teamwork
Facilitates collaboration among a team; users can be assigned different levels of access and changes may be tracked
fabrication
Generating fictitious data or findings and reporting them as if they were discovered during a research study
technological advances
Have benefitted the process of qualitative data analysis, including: Text recognition/scanning software for written information Audio-to-text voice recognition software E-mail, text messaging, online discussions and forums, and social networking platforms
citations
Ideas, data, or conclusions based on other published work, including prior publications of the author or coauthors, must be appropriately cited
coding and retrieving
In order to ensure that the quality of information is maintained during a qualitative study, the process of coding and retrieving requires: The creation of a code directory with clear operational definitions Coding, analyzing, and/or interpreting the data, which must take place in a systematic and consistent way
research misconduct
Includes fabrication, falsification, plagiarism, or additional behaviors that differ significantly from the norms of conduct within the scientific community Behaviors that represent a significant deviation from commonly accepted practices Must be intentional, knowing, or reckless
memoing
Includes notes and memos through which investigators can record impressions about the data, methodological insights, and developing interpretations or theories These can be ordered, sorted, and displayed in special ways
submitting an application to an IRB
Institutional variation exists, though most applications require: Informed consent Description of the research protocol An assessment of the risks and benefits of the study Assurance of adequate representation (by gender, race, age, and ethnicity) Consideration of issues related to vulnerable populations Evidence of the training of key personnel
falsification
Involves changing or distorting data, data collection procedures, or research findings to portray the desired findings rather than the actual ones
sampling in quantitative research
Is defined by the research question; the sample should reflect the characteristics of the population about whom the conclusions of the study apply: May be general, to allow for broad implications of findings May be specific, to focus findings on a group A sample may be refined through establishing specific inclusion and exclusion criteria Research design will have implications for the size of the sample, to accommodate subject grouping Sampling must give consideration to external validity Involves two types of sampling: Probability-based Nonprobability-based Unit of analysis is often people focused or structure focused Common factors considered when determining participants are: Culture Geographic or organizational location Time or event-related experience Personal experience of a unique condition
conflict of commitment
Issues that may prevent researchers from expending their full energy and effort for their primary employment and, in particular, for discharging research obligations
next steps after accumulating processed data
It is helpful to think about data sources being broken down into data units, or blocks of information that will eventually be examined together These may be: Stories that interviewees tell that span several typed pages A paragraph of typed text from an interview or field note in which an individual describes a particular encounter with a therapist or discussion of a particular health condition and its meaning A phrase or term used over and over by interviewees or informants or members of a particular organization, clinical team, or profession "Blocks" of information may be compared across individuals, or groups of individuals; compared with other blocks; and ultimately, themes will emerge
repetitive and fragmentary publication
It is not ethical to publish the same results more than once without clear acknowledgement of the prior presentation or publication This prevents duplication of samples within the published literature
phenomenology differs from other qualitative approaches
It regards the sense of lived experiences and meanings as fully knowable only by those who share the experience It imposes no structure or framework on the data collected by the researcher; rather than unfolding through discourse, researchers must represent experiences in the form expressed
qualitative research seeks to discover
It seeks to discover: The insider's (emic) view and compare it with the observer's (etic) view Meanings, symbols, beliefs, and values in the language of the participants The multiple perspectives of persons, groups, and organizations across the spectrum of positions in a social setting or culture, including those at the margins of society, not just the center Features of the worlds of everyday lived experience
random sampling
Means that each member or element of the population can theoretically have an equal chance of being selected for the sample Randomization balances both the measured and unmeasured characteristics that affect the outcomes of a study, allows for masking, and provides a basis for inference Includes randomizing for purposes of: Subject selection Subject assignment
interrater reliability
Measures to identify and promote interrater reliability should be incorporated into qualitative analysis This typically requires separate and redundant coding of data The coding may then be: Analyzed through quantitative statistics for agreement between the two sets of codes Reconciled through discussion and consensus of investigators Pre- and post-reconciliation statistics may be calculated for the coding to determine interrater reliability
memos
Methodological and analytic notes from which explanations and findings are built should be written within the data during the active reading process as analytic memos: Reflective notes through which investigators may organize their thoughts about data Memos may be used for generating discussion, critique, and new insights during investigator meetings, allowing for organic and iterative interaction with data
procedural strategies to promote rigor
Multiple coders, verifying interrater reliability Performing member checks Comparing results with prior literature Self-evaluation and reflection on own findings Coding consistently holds up across multiple data sources and back-and-forth processes of within-case and cross-case analysis
mechanisms for resolving allegations
Occur in two phases, an inquiry phase and an investigation phase Inquiry phase is to determine if the definition of misconduct has been met and/or there is evidence of misconduct Investigation phase seeks to determine if the allegations of misconduct are true, and determines an individual of authority act on the findings, and report the findings to ORI
data collection and analysis intertwined
Qualitative analysis begins during data collection and then continues after data collection is completed, a back-and-forth process of data gathering and data analysis Data collection might be involved in several steps of the study, including the sampling approach, recruitment, entry into the field, data collection, and analysis
contemporary tools for managing and analyzing qualitative data
Qualitative research analysis requires a series of steps for investigators to transform data into coherent, believable, and meaningful findings Methods include both low-technology and high-technology approaches There are numerous methods for enhancing the quality of qualitative data research
design considerations in qualitative research
Qualitative research has a unique and important role in the development of new knowledge The perspective of qualitative research is that of the informant, rather than that of the researcher There are several qualitative traditions for development of this specific type of knowledge
common features of qualitative research
Qualitative research is an iterative process, wherein some data are collected, interim analyses are performed, and research instruments are modified before further data are collected and analyzed An audit trail allows for tracking of the fluid, nonlinear nature of this process
qualitative approach to data analysis
Qualitative researchers strive to preserve the original format of their data so that readers of their analyses can see or experience for themselves as much of the participants' world as possible This includes individuals': Patterns or common expressions of people's perceptions or understandings of their world Meanings they attach to aspects of the settings in which they live or the behaviors in which they engage Reasons why people think particular things Ways in which people account for or come to particular actions Methods for organizing their day-to-day situations
step 1: perform a formal analysis or interpretation of one data source
Read a data source multiple times Gain recognition of concepts, events, feelings, behaviors, and patterns for that source Once familiar, begin coding the data, coming up with brief terms, marking blocks of information Disaggregate the data, breaking the data down into manageable segments, and identify or name those segments Code for the purpose of explaining or developing an understanding, rather than at a descriptive level (if research is more conceptual, coding may be more focused) Inscribe social discourse Look beyond the words and descriptions of interview subjects to understand more fundamental conceptualizations of how people experience what they do; this is a deliberate act to ensure that interactional details are fully captured Don't code everything; rather, code everything relevant to the research question Codes may be used to essentially flag patterns or themes that rest within the data
sampling error
Represents the difference between the values obtained by a sample and the actual values that exist in the population; attributable to: random errors systemic errors
the price of scientific misconduct
Requirements that federal funding be returned (paid back) Additional penalties and fines to the individual investigator and the institution for not maintaining regulatory compliance Imprisonment for up to 5 years in severe cases Institutional sanctions such as halting of all federal funding of research, or possibly even halting all ongoing human subjects research, until the institution is "brought into compliance"
collaborative science
Responsible conduct of collaborative science entails attention to establishing clear roles, responsibilities, and written agreements that will satisfy institutional officials at the various institutions
assurance of adequate representation of the sample
Samples included within the study must represent the diverse demographics for the general population of interest Any exclusions based on gender, race, ethnicity, age, income level, educational level, national origin, language, or any other variable must be explicitly justified through a grounded-scientific rationale
step 2: select a particular code for further analysis
Select a particular code (and thus a particular set of data units or patterns among data units) for further analysis Pick a code based on the data source or research question that began their project (rather than relying of previous studies, or existing preconceptions) Pay attention to codes/patterns that simply emerge out of the data source themselves through critical reflection Focus on one pattern or code at a time
stratified random sampling
Similar to a simple random sample, but requires that certain groups be represented equally A proportional selection is taken from identified subgroups that reflects the representation of the general population
support for mixed-methods analysis
Some software supports quantitative analysis, including: Calculating and graphing code frequencies Creating code-by-document tables and other data matrixes Exporting data to statistical analysis or spreadsheet programs Conducting quantitative content analysis
steps in sampling
Step 1: Define the population of interest Step 2: Consider the unit of analysis Step 3: Identify a performance site Step 4: Develop a sampling approach Step 5: Implement the sampling procedures
step 4: draw some general conclusions about what a coding strategy or arising data pattern means
Stop specific cross-case comparisons and look for broad patterns, such as a synthesis or thematic narrative that illuminates the overall theme Ask yourself: What am I going to call this theme as I move into a reporting stage? What are the examples of variations under the umbrella of this coded theme, and how can I explain them? Why do these variations matter? How am I going to define the nuances I found within it as I looked at different data units and in different data sources? What are examples of the commonalities across all data units I have labeled with a given theme, and how do I explain them? Why do they matter? What is the significance of this theme overall for my research topic, and how might my analysis of this particular topic/theme add to previous literature on this subject?
determining sample size
Studies should attempt to recruit the largest sample possible, although it will require more resources Studies that are too small have threats to their validity and lack statistical power
multimedia capabilities
Support for PDF documents, graphic files, HTML web pages, as well as digital audio and video files
HIPAA
The Health Insurance Portability and Accountability Act (HIPAA) was signed into law in 1996 Title II provides policies and procedures for ensuring the privacy and security of each person's medical records and other health information Information cannot be shared without the individual's permission
research integrity
The Office of Research Integrity (2013) has identified nine core areas that need to be addressed: Data acquisition, management, sharing, and ownership Conflict of interest and commitment Human subjects Animal welfare Research misconduct Publication practices and responsible authorship Mentor/trainee responsibilities Peer review Collaborative science
consider the unit of analysis
The classification level of the individual variable of interest for a study A subject (e.g., child, client, participant) A setting (e.g., clinic, hospital unit) A cohort (e.g., family, class)
domain analysis
The critical process of selecting and adding pieces of information through interview and observation and analyzing it for further discovery
purposive sampling
The deliberate selection of individuals by the researcher based on certain predetermined criteria, usually stated as inclusion and exclusion criteria
description of the research protocol
The entirety of the research protocol should be described in lay (simple) language: The intended audience is the interdisciplinary, cross-cutting review panel Exactly what will happen to the subjects, and any risks or benefits, should be explicitly explained
effect size
The extent of difference between two means or the size of the relationship between variables in a research study
retaining voice
The informants' own words and voices (through the original data) should be utilized to communicate the themes as much as possible What is heard and thought by the researcher is also important and should be closely represented
determining the audience
The intended audience should determine how findings are communicated General audiences will focus on findings and themes Academic/research audiences will have an interest in the methodology and rigor
statistical power and sample size
The likelihood of finding a significant difference between groups or association between variables when one exists Requires consideration of: Sample size Effect size Alpha level or level of significance The power or the odds of observing a treatment effect when it occurs Increased recruitment will be required for studies where there is/may be: Subgroup analysis Attrition Measures with limited reliability
prolonged engagement in the field
The period of time spent in the field observing the phenomenon of interest, which varies according to: The nature of the inquiry and its scope The design of the study The time available to the investigator The time available to the research participants themselves Ideally, this should continue until saturation: The point in the data collection period when the researcher is gaining little or no new information
peer review
The process of peer review is fundamental for generation and publication of knowledge that contributes to a body of evidence There are ethical considerations involved in the process, including confidentiality and beneficence toward the task (and toward the author)
triangulation
The use of two or more strategies to collect and/or interpret or analyze information, increasing the accuracy (or trustworthiness) of data gathered May utilize peer debriefing A process by which multiple analysts may discuss areas of disagreement and controversy, allowing for contrary views to arise and receive careful review
qualitative approaches to interpreting and reporting data
There are major differences between qualitative and quantitative data analysis There is a process for completing qualitative analysis and reporting qualitative data once analysis is complete These approaches guides the process for data dissemination
interdependence of codes and memos
There is an ongoing, reciprocal relationship between the generation of indexing codes and analytical memos Codes may become hierarchical or reflect relationships noted in memos Memos may be enhanced by some to codes found within the data
theory building
This allows the construction of explanations that are grounded in the qualitative data and include mechanisms for defining relationships among data elements, including original text, codes, memos, and documents Metadata elements can be imported and linked to one another through semantic relationships, which can evolve into formal analytic products such as conceptual models
tagging and retrieval
This creates hypertext "tags," whereby noncontiguous text or images are electronically linked to one another Links can also be made between one text segment and another, either within a document or between one document and another This retrieves all text segments labeled with a particular code, so that passages on a given topic or theme can be grouped and viewed together
level of significance
This is an estimate of certainty that the identified evidence is a true measure of difference between variables, and there is an acceptable amount of chance (alpha) that any effect is caused by chance when there is no true effect
codebook development
This provides support for the creation of a list of codes to be applied to textual data, as well as a code directory with code definitions or criteria Some software has advanced codebook features, with separate fields for the code name, a brief definition, a full definition, inclusion criteria, exclusion criteria, and examples
phenomenology
This qualitative approach focuses on the everyday life-world and gives great attention to the careful description of how the ordinary is experienced and expressed in the consciousness of individuals The primary question that is asked from this perspective is: What is the meaning of one's experience, and how does one interpret it? Conceptualizes the person and environment as a whole Involves lengthy discussion with the informant regarding multiple aspects of his or her unique experience, including: The lived space (spatiality) The lived body (corporeal embodied experience) Lived social relationships (relationality) Lived time (temporality)
nonprobability-based
This should be utilized when parameters of the population are unknown or when it is not feasible to conduct a probability sample The sample characteristics still need to be defined clearly in terms of inclusion and exclusion criteria When this is used, the researcher must: Clearly define the process of the sampling Acknowledge the limitations of the sampling procedure Justify why the sampling limitations do not jeopardize the research question being answered
assessment of risks and benefits
Thorough and comprehensive identification of all potential risks involved to participants within the study must be explained Explanation and demonstration of how experimenters will enforce assurances to minimize risk Justification of how the expected benefits of the experimental procedures outweigh the potential risks
subject pool
Those who are identified as eligible to participate in a study; depends on: Specific nature of the research question Research approach Research design Specific population of interest Decisions about sampling should always give careful consideration to issues of diverse sampling, including gender and race/ethnicity
vulnerable populations
Those who do not have the capacity to consent to participate in research or who may be pressured into participating for the wrong reasons, including: Prisoners Pregnant women Fetuses and neonates Employees and students of the institution out of which the study is being conducted Individuals with impaired decision-making capacity Educationally or economically disadvantaged people Other individuals who are vulnerable to coercion or undue influence
plagiarism
Using another writer's ideas, methods, results, writing, or work without credit to the origin, thereby taking personal credit for it falsely
major sources of systematic error
Using volunteers (because those who volunteer for any study are likely to be different from those who refuse) Using groups that are available and convenient (but likely to share some common characteristic that makes them different than the intended population)
rigor, flexibility, challenge, and reward
What qualitative researchers select to analyze in this flexible and rigorous process and how they interpret this data can depend on many things; however, there are particular systematic steps to complete a study Qualitative research is simultaneously precise, detailed, and valid or trustworthy because of the process that researchers undertake in data collection and analysis, which may be both time-consuming and exhausting
text-based searches
Words or strings of text can be located in the original data This allows for word counts, or calculations of specific word frequency
social desirability bias/hawthorne effect
a bias that occurs when subjects change their behavior because they know they are being observed
principles of Belmont
a code for basic ethical principles for human subject research, by the US National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research the three principles it defines are: respect for persons, beneficence, and justice
grounded theory
a qualitative design that attempts to generate a theoretical understanding of a phenomena by extracting meaning from social interactions, without direction from existing constructs or theory about the phenomena
data acquisition, management, sharing, and ownership
accepted practices, data collection, data storage, and ownership
participatory action research (PAR)
an approaching combining research efforts and active intervention, which involves the participants as co-creators and co-investigators who shape the research questions, methods, and outcomes at the same time transforming themselves and others within their immediate contexts in significant and enduring ways Outcomes are more likely to be trusted and are more likely to be used because they are transparent and personally, politically, economically, and socially relevant to consumer participants Outcomes not only create new knowledge, but also changes in practice
random errors
an error that may occur by chance when selecting a sample
key-informant interviews
an interview conducted with individuals considered to be influential, prominent, and/or well-informed people in an organization or community individuals who are selected from a larger sample for more in-depth discussion
unstructured interviews
an interview guided by a short list of general questions, wherein the interviewer respects how the interviewee frames and structures the responses, providing probing questions when necessary
semi-structured interviews
an interview guided by a structure, using a combination of fixed-response and open-ended questions
focus-group interviews
an interview platform wherein a group of people are able to discuss their varied perspectives on a given topic, fostering expressions of their perspectives through the creation of a supportive environment typically, a homogeneous group with a specific area of experience, between 4-12 participants per group with interviews lasting 1-2 hours
structured interviews
an interview, wherein the interview asks questions exactly as written, which may include fixed-response and open-ended questions
participation
an overall approach to inquiry and a data-gathering method; demands firsthand involvement in the social world chosen for study not to "become" a member, but to experience first-hand reality for informants without preconception data is collected from journals and field notes of reflections and observations
managing bias in qualitative research
bias is a type of prejudiced consideration or judgment transparency with methods can allow for the reader to judge for the potential of bias being present Sources of bias in qualitative research include: Overreliance on accessible research participants or favoring of more dramatic events and statements involving research participants and the context of study Biasing effects produced by the presence of the investigator in the research site, that is, the Hawthorne effect Biases stemming from the influence of the participants and the research site on the investigator
interpretive approach
categorizing the meaning of words/topics used
exclusion criteria
characteristics that will prohibit the subject from being an appropriate candidate for the study
systemic errors
consistent or predictable errors caused by a failure of design; with sampling, this will return subjects differing from the population systematically
nonprobability-based measures
convenience sampling purposive sampling network sampling quota sampling
numeric approach
counting the frequency of occurrence of a topic/word
adequacy
enough data is available to provide a rich description of the phenomena of interest
Nazi doctors trials
following WWII, a tribunal identified numerous experiments that had been conducted in the "interests" of science, which represent horrific abuses of human beings unethical practices included: inflicting known harm without regard to subject well-being or consent; high levels of risk without regard to pain and suffering, and outweighing the potential benefit
in-depth interview key objectives
identifying an appropriate study sample logging communication during recruitment efforts establishing comfort, rapport, and trust with interviewees developing the interview guide (conversational style) or explicit interview protocol (structured interviews) skillful listening and question asking judging appropriately when, how, and whether to probe and pursue interesting turns in the interview (e.g., disclosure of unexpected information, controversial or provocative opinions and statements, etc.) Presentation of the self as a competent and skillful interviewer Note-taking comprehensively while astutely questioning and listening Writing up summaries and notes about what the interviewee said as well as reflective personal observations
data collection
if personal health information (PHI) is collected, authorization or waiver must be obtained
ensuring ethical research
in the creation of new knowledge, there is an ethical obligation to conduct research with integrity standards for ethics in practice are derived from historical examples when ethics were grossly not maintained now, there are numerous institutions to ensure that ethical behaviors are maintained with regard to several areas of practice
in-depth interviews
in this research method, the purpose is to probe the ideas of the interviewees and obtain the most detailed information available regarding a particular event, issue, or context studies vary with respect to their prior structure and in the latitude the interviewee has in responding to questions
interviewer training
includes instruction on: technical skills on how to ask the interview questions and the use of follow-up probes to elicit more detailed explanations Appropriate behaviors to gain access to a population Interpersonal behaviors to demonstrate during recruitment and data collection
animal welfare
involves protecting the physical and emotional well-being of animals that are being used in research
external validity
is the extent to which we may generalize a research finding to different persons, settings, or times The three major threats to this are people, place, and time
methodological actions to enhance data trustworthiness
management of bias interviewer training prolonged engagement in the field reflexivity triangulation member checks audit trails project-based methods
strategies for selecting participants
maximum variation theory-based selection confirming or disconfirming cases extreme or average samples
quota sampling
method in which individuals are proportionally recruited for a sample in order to ensure adequate representation of different proportions of subject types
network sampling (aka snowball sampling)
method in which initially identified subjects provide names of others who may meet the study criteria
convenience sampling
nonrandom recruitment methods where subjects are enrolled as they agree to enter the study, until the desired number is reached
Nuremberg code
one of the earliest US codes regarding the ethical conduct of research that was written during the Nazi doctors trials 1. The voluntary consent of the human subject is absolutely essential. 2. The experiment should be such as to yield fruitful results for the good of society, unprocurable by other methods or means of study, and not random and unnecessary in nature. 3. The experiment should be so designed and based on the results of animal experimentation and a knowledge of the natural history of the disease or other problem under study, that the anticipated results will justify the performance of the experiment. 4. The experiment should be so conducted as to avoid all unnecessary physical and mental suffering and injury. 5. No experiment should be conducted, where there is an a priori reason to believe that death or disabling injury will occur; except, perhaps, in those experiments where the experimental physicians also serve as subjects. 6. The degree of risk to be taken should never exceed that determined by the humanitarian importance of the problem to be solved by the experiment. 7. Proper preparations should be made and adequate facilities provided to protect the experimental subject against even remote possibilities of injury, disability, or death. 8. The experiment should be conducted only by scientifically qualified persons. The highest degree of skill and care should be required through all stages of the experiment of those who conduct or engage in the experiment. 9. During the course of the experiment, the human subject should be at liberty to bring the experiment to an end, if he has reached the physical or mental state, where continuation of the experiment seemed to him to be impossible. 10. During the course of the experiment, the scientist in charge must be prepared to terminate the experiment at any stage, if he has probable cause to believe, in the exercise of the good faith, superior skill and careful judgement required of him, that a continuation of the experiment is likely to result in injury, disability, or death to the experimental subject.
reasons for qualitative research
one reason is to promote discover of phenomena occurring in situations in which there is insufficient prior work certain phenomena, experiences, or processes are inadequately captured by preconceived concepts and predefined tools
common ways to report data
poster presentations, oral presentations, and written reports
principles that guide qualitative sampling
process is inductive, dynamic, and may change as the study evolves new participants might be added to the sample during the study progress
confirming or disconfirming cases
purposefully seeking informants who will support or challenge an emerging interpretation
collecting qualitative data
qualitative research entails several strategies for collection of quality data these strategies may further employ methodological actions to enhance data trustworthiness qualitative methods seek to discover and describe socioculturally constructed worldviews, values, and sociocultural norms and how these are instilled, enacted, reinforced, or resisted and changed in everyday life there are 4 main methods for gathering qualitative data: participation in the setting, direct observation, in-depth interviewing, and analyzing written documents and material objects
probability-based measures
random sampling stratified random sampling systematic sampling cluster sampling
justice
requires that research impose the burden of risk and the potential for benefit upon the same groups of people
maximum variation
seeking individuals who have extremely different experiences of the phenomenon being studied
written documents and material objects key objectives
selecting appropriate documents or objects gaining permissions to observe and study the selecting and using analytic methods best suited to the kind of data identifying additional means by which to confirm their meanings
extreme or average examples
selecting cases on the criteria that they represent an extreme example of a phenomena or that they represent the average case
theory-based selection
selecting only individuals who exemplify a particular theoretical construct for the purpose of expanding the current understanding of a theory
declaration of Helsinki
sets forth the principles regarding the ethical conduct of human subjects research adopted by the World Medical Association in 1964, with revisions including the most recent in 2000
organizational strategies
standardize scene depictions communicate dialogue and interpersonal exchanges elucidate indigenous meanings with and without verbal data develop and analyze integrative memos
implement the sampling procedures
subjects should be recruited according to the plan established through the sampling approach
epistemology
the broad arena of philosophy concerned with the nature of scope and knowledge each approach directly shapes the type and style of research questions asked and the specific procedures used the traditions include: participatory action research ethnography grounded theory critical theory phenomenology
gaining access
the entry point into a qualitative inquiry, which affects the selectin of subjects
appropriateness
the identification of participants who will best inform a researcher about the phenomena under inquiry
participation and observation
the key objectives to researchers using these methods include: "gaining entry" to the setting negotiating and establishing a social identity in the setting sustained engagement in the research setting over time and learning how to maintain good relationships in that community or group active and genuine involvement with group members development of useful observational measures accurate demonstration of observations in distracting conditions managing requests to align oneself with one person or group versus another simultaneously participating with and recording observations of study participants at the same time as experiencing the phenomenon itself and recording it in a complex environment documenting additional field notes, questions, quandaries, and complexities after each data collection episode
identify a performance site
the location in which a research study is done has direct impact on the research study and the sampling approach taken
respect for persons
the most basic of the three principles of Belmont asserts that human persons must be respected in terms of their right to self-determination involves informed consent special protections for "vulnerable populations"
sample size
the number of subjects included within a sample
ethnography seeks to investigate
the patterns in how people define and view the world habitual patterns and ways of life categories of thought symbols and meanings kinds of social relationships systems of moral goals, values, and social structures
beneficence
the principle that requires that human subjects research minimize risk to the greatest extent possible and maximize the potential for benefits to be gained from the research (either for the individuals participating in the research or from the knowledge that will be gained) risks include both physical and mental sound research methodology must be employed risks must be minimized if present
securing samples and performance sites
the quality of a research study is contingent on the sample obtained for collecting data there are some key fundamentals and steps that allow for successful sample recruitment Quantitative studies have multiple specific methods for determining and recruiting for a sample Qualitative studies have a differing approach to sample recruitment
the nature of qualitative research
this approach to research aims to describe and explain individuals' subjective experiences, actions, interactions, and social contexts through various approaches qualitative methods are used when it's important to learn more about the kinds of features that are present and to determine the salient contents and meanings of a phenomenon
ethnography
this qualitative design focuses on the social definitions and meanings of behavior or other phenomena it strives to gain an insider's view of the social scene Study participants are "informants" rather than "subjects" under control of the study It is conducted in a series of basic phases: Preparation and entry Immersion using participation and observation Exit Writing up
observation
this research method requires careful watching, listening, and recording of events, behaviors, and objects in the social setting chosen for study when exclusively using observation methods the investigator's role is a passive, unobtrusive presence participation and observation studies involve both roles to some degree, as well as further immersion into a phenomenon's setting
define the population of interest
this should be facilitated through the literature review the research problem will help set parameters for the population of interest
inclusion criteria
traits that the researcher has identified as characterizing a population