This document discusses various methods for collecting data in research studies. It describes:
1) The key steps in data collection including deciding what data to collect, how to collect it, who will collect it, when to collect it, and available resources.
2) The main types of data (primary and secondary) and data collection methods (quantitative like questionnaires and qualitative like focus groups).
3) Important considerations for developing and validating questionnaires including content validity, face validity, construct validity, and criteria validity.
4) Additional data collection methods like interviews (structured, semi-structured, and unstructured) and schedules. Guidelines for effectively implementing each method are provided.
This document discusses various qualitative research methods for collecting and analyzing data. It describes qualitative research as focusing on collecting narrative and visual non-numerical data to understand a phenomenon of interest. It then outlines several common qualitative research approaches like grounded theory, ethnography, phenomenology, narrative research, case studies and the types of data collection methods used in each approach such as interviews, observations, focus groups and document analysis. Finally, it discusses the process of analyzing qualitative data which typically involves preparing, organizing, coding and categorizing the data to identify themes and patterns.
This document discusses various methods for collecting data in research studies. It outlines the differences between quantitative and qualitative research methods. Some key methods discussed include interviews, focus groups, observation, questionnaires, and secondary data collection. Interviews can be structured, unstructured, or semi-structured. Focus groups involve a moderator guiding discussion among similar participants. Observation methods include controlled observation, naturalistic observation, and participant observation. Questionnaires can be self-administered or involve personal interviews. Secondary data is existing unpublished or published information from various sources. The document provides guidance on using these different techniques for collecting both primary and secondary data.
This document discusses primary and secondary data sources. Secondary data is data gathered by someone else for a different purpose than the current project. It can be inexpensive and convenient to obtain, but may lack accuracy or relevance. Internal secondary data sources include accounting and sales information, while external sources include libraries, the internet, vendors and government records. The document also outlines various methods for collecting primary data, including observation, interviews, questionnaires, case studies and more. It provides details on structured versus unstructured interviews and questionnaires.
This document discusses scientific methods of research. It begins by defining scientific methods as systematic observation, measurement, experimentation, and formulation of questions or hypotheses to develop general knowledge about natural phenomena. It then lists the characteristics of scientific methods, including being orderly, attempting to control external factors, being based on empirical evidence, and allowing findings to be generalized. The purposes of scientific methods are described as description, exploration, explanation, prediction, control, and identifying relationships. The document outlines the typical steps of scientific methods, from selecting a topic to collecting and analyzing data. It concludes by discussing limitations of scientific methods when applied to humans, such as ethical issues, difficulty measuring human behavior, and inability to fully control external variables.
This document provides an overview of qualitative data analysis. It discusses that qualitative data analysis involves coding texts, identifying patterns, and reducing qualitative data into quantitative codes. It also outlines several stages of qualitative analysis including familiarization with data, transcription, organization, coding, identifying themes, recoding, developing categories, exploring relationships between categories, and developing theories. Finally, it discusses challenges of qualitative analysis including placing raw data into logical categories and communicating interpretations to others.
This document discusses data collection in quantitative studies. It explains that data are facts that provide information about the phenomenon being studied. There are several steps to collecting data quantitatively: identifying data needs like variables to measure or hypotheses to test; selecting appropriate measurement tools; pretesting instruments; developing data collection forms and procedures; implementing a data collection plan including selecting and training personnel; and addressing issues that may arise during the process like maintaining controls. The goal is to gather information consistently and validly to address the research questions.
This document provides an overview of key concepts for data gathering and analysis in interaction design. It discusses techniques for interviews, questionnaires, observations, and the analysis of both qualitative and quantitative data. The goal is to understand users and inform the design process. Techniques covered include interviews, questionnaires, observations, analysis frameworks like grounded theory, and presenting findings.
Thank you for participating in our survey. We are conducting research on movie theaters to better understand customers' preferences. There are no right or wrong answers - we are just interested in your honest opinions. The survey should take about 10 minutes to complete.
Questionnaire designing in a research processRajneesh Gautam
This document discusses the design and use of questionnaires. It defines a questionnaire as a set of questions used to gather information from individuals. Questionnaires can be administered via mail, phone, interviews, as handouts, or electronically. There are two main types of questions: open-ended questions that allow free responses and closed questions like multiple choice. Proper construction and administration are important to get useful statistical information. Factors like question wording, order, and avoiding sensitive topics should be considered when designing a questionnaire.
data collection primary secondary methodsAlen philip
This document discusses primary data collection methods, including observation, interviews, questionnaires, and schedules. Observation involves directly observing respondents without asking questions. Interviews can be personal face-to-face interviews or telephonic interviews. Questionnaires are sets of standardized questions distributed to respondents, while schedules are used by interviewers to record respondents' answers to questions in person. Each method has advantages like breadth of information collected but also limitations such as potential bias, expense, or inability to capture emotions.
Steps in Research-Types of research-Types of Steps in Research-Types of resea...AbhishikthSandeep1
This document discusses research methods and design. It defines research as a systematic, scientific investigation of a topic to discover new facts or test hypotheses. Research aims to contribute new knowledge through carefully defining problems, formulating hypotheses, collecting and analyzing data, reaching conclusions, and testing conclusions. The key objectives of research are exploratory, descriptive, diagnostic, and hypothesis testing. Characteristics of good research include being directed, empirical, carefully recorded and reported. The common steps in research are formulating the problem, reviewing literature, developing hypotheses, deciding design, collecting and analyzing data, testing hypotheses, and reporting conclusions.
This document discusses research design and different types of research designs. It defines research design as the conceptual structure and plan for conducting research to answer research questions. The main types of research designs covered are exploratory, descriptive, diagnostic, and experimental. Exploratory design is used when little is known about a topic to discover variables and relationships. Descriptive design aims to describe phenomena by observing behaviors. Diagnostic design involves problem identification and finding causes. Experimental design tests hypotheses by manipulating variables and measuring outcomes. The document provides details on each design type, including their purposes and methodologies.
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Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Assessment of Qualitative Data, Qualitative & Quantitative Data, Data Processing
Presentation Contents:
- Introduction to data
- Classification of data
- Collection of data
- Methods of data collection
- Assessment of qualitative data
- Processing of data
- Editing
- Coding
- Tabulation
- Graphical representation
If anyone is really interested about research related topics particularly on data collection, this presentation will be the best reference.
For Further Reading
- Biostatistics by Prem P. Panta
- Fundamentals of Research Methodology and Statistics by Yogesh k. Singh
- Research Design by J. W. Creswell
- Internet
This document discusses data collection methods for research. It states that data is essential for making business decisions and can come from records, observations, measurements or interviews. It then describes surveys as a method to gather information through questionnaires administered to a sample of the population. The document outlines different types of surveys, including census surveys which collect all population data and sample surveys which collect a representative sample. It also describes various personal interview techniques used in surveys, such as door-to-door interviews, mall intercepts, and computer-assisted interviews.
This document discusses the different types of research. It identifies six main types: applied vs basic research, descriptive vs analytical research, quantitative vs qualitative research, cross-sectional vs longitudinal research, primary vs secondary research, and conceptual vs empirical research. Additional types discussed include historical research, simulation research, exploratory research, conclusion-oriented research, and decision-oriented research. The purpose of research is to systematically search for and acquire new knowledge, whether it be discovering new facts or verifying existing theories. The type of research used depends on the goal and whether the focus is on gathering new knowledge or solving practical problems.
This document discusses the process of data analysis, which includes editing, coding, classification, and tabulation of raw data collected during research. It explains that after data collection, the researcher must process and analyze the data. Key steps include editing the data for accuracy and completeness, coding the data by assigning numeric or alphabetic values to response categories, classifying the data into groups based on common attributes, and tabulating the data by organizing it into tables for further analysis and interpretation. Computer software can facilitate large-scale data processing and tabulation.
This document discusses questionnaires as a research method. It defines a questionnaire as a structured set of questions used to collect data from subjects about their knowledge, attitudes and beliefs. The document outlines different types of questions that can be included in a questionnaire like open-ended, closed-format, dichotomous and Likert questions. It also provides guidelines for designing a good questionnaire and discusses methods for questionnaire administration and their advantages/disadvantages.
The document discusses various research instruments used in research, including questionnaires, interviews, and observations. It focuses on questionnaires, describing the different types of questions used (structured/closed-ended, unstructured/open-ended, contingency, and matrix questions). Guidelines are provided for constructing questionnaires, including ordering questions, presentation, pretesting, and administration. Response rates and the importance of cover letters are also discussed. Interviews are described as well, with types being informal/conversational, general guide, and standardized/open-ended.
This document discusses research methods and designs, focusing on surveys. It defines surveys and describes their purpose, which includes providing information, explaining situations, identifying and solving problems, and measuring change. The main types of survey designs discussed are cross-sectional, longitudinal, trend studies, cohort studies, and panel studies. Advantages and disadvantages of different designs are compared. Guidelines for developing questionnaires and conducting interviews are also provided.
Questionnaires is one of the most popular tool of collecting data
They provide a convenient way to gathering information from a target population. A questionnaire is a planned self-reported form designed to elicit information though written or verbal responses of the subjects.
The document discusses different types of questionnaires and factors to consider when designing one. It defines a questionnaire as a research instrument used to collect information through questions. There are two main types: open-ended questionnaires that allow free responses; and closed-form questionnaires that provide response options. Important considerations for questionnaire design include question wording, order, and avoiding bias. The goal is to create a concise, clear, and unbiased set of questions to accurately gather the desired information from respondents.
The document discusses qualitative research methods, specifically interviews. It explains that qualitative research aims to understand people's experiences in natural settings through open-ended questions. Interviews are a common way to collect qualitative data and can vary from highly structured to unstructured. Structured interviews are easy to replicate but lack detail, while unstructured interviews provide more flexible, in-depth responses but are more difficult to analyze. The document also provides examples of interview strengths and limitations.
This document provides guidance on developing questionnaires for research. It defines what a questionnaire is and discusses its purpose and benefits. It outlines different types of questionnaire questions like open-ended, closed-format, dichotomous, rating and Likert questions. Guidelines are provided for designing good questionnaires, including drafting clear, concise questions and ensuring logical question sequence and flow. Both advantages like low cost and ease of analysis and disadvantages like low response rates are reviewed. The overall aim is to help researchers construct valid, reliable questionnaires for collecting data.
This document discusses various methods and tools for collecting data in empirical research. It describes primary and secondary data sources and different types of data collection methods including interviews, questionnaires, observation, and biophysical measurements. Specifically, it provides details on structured, unstructured, and semi-structured interviews. It also explains different types of questions that can be used in questionnaires such as open-ended, closed-ended, rating scales, and Likert scales. Advantages and disadvantages of interviews and questionnaires as data collection methods are highlighted.
This document discusses the purpose and types of questionnaires. It explains that questionnaires are forms used to collect responses to questions from a sample of people. There are different types of questions like closed-ended and open-ended, and questions can collect facts or opinions. Properly designing questionnaires is important, including clear instructions, question order, and coding responses for analysis. Questionnaires can efficiently collect standardized information from many people but also have limitations like potential bias and unreliable responses.
This document discusses various methods for collecting primary data, including individual interviews, focus groups, and projective techniques. It provides details on how to conduct effective interviews and focus groups, including developing discussion guides, selecting and incentivizing participants, and the roles of the moderator. It also compares primary and secondary data and discusses how to minimize bias in interviews.
This document discusses various aspects of conducting qualitative interviews for research purposes. It defines key terms, describes different types of interviews including informal, general guide, and standardized interviews. It covers telephone interviews, training interviewers to reduce bias, preparing for interviews, and procedures for conducting and analyzing interviews. The goal of qualitative interviews is to understand participants' meanings and experiences on a deeper level through open-ended questioning and probes.
A questionnaire is a list of questions used to collect information from respondents about attitudes, opinions, and experiences. Questionnaires can be structured or unstructured, with open-ended or closed-ended questions. Properly constructing the questionnaire, pretesting it, and using clear, unbiased questioning is important for obtaining statistically useful data. Some disadvantages include potential for dishonest answers or different interpretations of questions.
Questionnaires, interviews, observation, and existing data are common methods for collecting data in research. Questionnaires involve paper or online surveys to collect self-reported information from participants. Interviews are conducted face-to-face, by phone, or online and allow researchers to ask participants questions and get more in-depth responses than questionnaires. Observation research involves watching and recording behaviors directly. Existing data sources include medical records, organizational records, journals, and other documents that contain relevant pre-collected information.
Tools and techniques for data collection.pptxJuruJackline
These the tools and techniques used for data collection when carrying out community diagnosis in public health setting.
The slides looked into details the various tools and how they can be used in the data collection depending on the type of data you would like to collect.
A questionnaire is a structured research instrument consisting of a series of questions used to gather data from respondents. It provides a convenient way to collect standardized information from a large population. Questionnaires can be administered through mail, phone, online or in-person. They include open-ended questions that allow for varied responses as well as closed-format questions like multiple choice, dichotomous, rating scales and matrix questions. Care must be taken to design clear, unbiased questions in a logical sequence when creating a questionnaire.
The document provides information on different types of interviews that can be used for data collection in research. It discusses structured, semi-structured, and unstructured interviews. Structured interviews involve asking all respondents the same closed-ended questions in a standardized order. Semi-structured interviews use an interview guide but allow flexibility in wording and order of questions. Unstructured interviews are open conversations that gather in-depth details on a limited number of topics. The document outlines advantages and disadvantages of each type of interview.
The document provides information about interviews as a method for collecting qualitative data in research. It discusses different types of interviews including structured, semi-structured, and unstructured interviews. Structured interviews involve asking all participants the same standardized set of closed-ended questions in a specific order. They allow for comparisons across responses but lack detail. Semi-structured interviews use an interview guide but allow flexibility in the order of questions. The document outlines advantages such as control and standardization with structured interviews but notes they lack flexibility.
This document discusses various methods of data collection in research. It describes six main methods: tests, questionnaires, interviews, focus groups, observation, and existing data. It provides details on questionnaires and interviews, including strengths and weaknesses of each. For questionnaires, it outlines 15 principles of construction such as matching items to objectives and using clear, concise language. For interviews it distinguishes between quantitative, standardized interviews and qualitative, open-ended interviews. The document emphasizes the importance of mixing methods to leverage their complementary strengths.
This document discusses techniques for designing and validating questionnaires. It covers factors that affect questionnaires, types of questions, guidelines for preparation, administration methods, validity, reliability, and translation methods. Specifically, it discusses open-ended versus closed-form questions, test-retest and split-half methods for assessing reliability, and a multi-stage translation process involving translation, review, adjudication, and pretesting.
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Chair and Presenter, Stephen V. Liu, MD, Benjamin Levy, MD, Jessica J. Lin, MD, and Prof. Solange Peters, MD, PhD, discuss NSCLC in this CME/MOC/NCPD/AAPA/IPCE activity titled “Decoding Biomarker Testing and Targeted Therapy in NSCLC: The Complete Guide for 2024.” For the full presentation, downloadable Practice Aids, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at https://bit.ly/4bBb8fi. CME/MOC/NCPD/AAPA/IPCE credit will be available until July 1, 2025.
Mainstreaming #CleanLanguage in healthcare.pptxJudy Rees
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This project, which emerged from work done by the NHS England South-West End-Of-Life Network, with help from the Q Community and especially Hesham Abdalla, aims to fix that.
JMML is a rare cancer of blood that affects young children. There is a sustained abnormal and excessive production of myeloid progenitors and monocytes.
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Ontotext’s Clinical Trials Eligibility Design Assistant helps with one of the most challenging tasks in study design: selecting the proper patient population.
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Theoretically, gene therapy is the permanent solution for genetic diseases. But it has several complexities. At its current stage, it is not accessible to most people due to its huge cost. A breakthrough may come anytime and a day may come when almost every disease will have a gene therapy Gene therapy have the potential to revolutionize the practice of medicine.
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Data collection methods
1. Dr. Amit Mohan Varshney, MD
Assistant Professor
Department of Community Medicine
MLB Medical College, Jhansi
Data Collection Methods
2. Data
Data is any information that has been collected, observed,
generated or created to validate original research findings.
3. What is Data Collection
It is the process by which the researcher collect the
information needed to answer the research question.
The task of data collection begins after the making of research
problem and design.
4. The researcher must decide
Which data to be collected
How to collect data
Who will collect the data
When to collect the data
Resources available
Credibility
Analysis and reporting
Skill of evaluator
6. Methods of Data Collection
A. Quantitative data collection methods-
• Questionnaires
• Schedules
• Interviews
B. Qualitative data collection methods-
• FGD
• In depth interview
• Observation
7. Norms to be considered for data collection
• Honesty
• Objectivity
• Integrity
• Carefulness
• Criticism
• Respect for intellectual property
• Confidentiality
• Responsible publication
• Non discrimination
• Legality
• Animal Care
• Human Subjects protection
10. Question sequence
To achieve the best response rates--
- Questions should flow from the least sensitive to the most
sensitive,
- From the factual and behavioral to the attitudinal, and
from the more general to the more specific
- Use positive statements and avoid negatives or double
negatives.
11. Basic Rules for Questionnaire Item
Construction
Use statements which are interpreted in the same way by
members of different subpopulations of the population of
interest.
Use statements where persons that have different opinions or
traits will give different answers.
Think of having an ‘open’ answer category after a list of
possible answers.
Use only one aspect of the construct you are interested in per
item.
12. Translating a Questionnaire
Forward Translation
The initial translation from the original language to the target
language should be made by at least two independent
translators.
Backward translation
The initial translation should be independently back-translated
(i.e., translate back from the target language into the original
language) to ensure the accuracy of the translation.
13. Validating a Questionnaire
• The questionnaire measures what it is intended to measure.
A. Content validity-
The items in a questionnaire are representative of the entire
theoretical construct the questionnaire is designed to assess.
The process of content validation is particularly crucial in the
development of a new questionnaire.
14. Do not make assumptions about the respondent.
Use clear and comprehensible wording, easily understandable
for all educational levels.
Use correct spelling, grammar and punctuation.
Avoid items that contain more than one question per item (e.g.
Do you like strawberries and potatoes?).
Question should not be biased or even leading the participant
towards an answer.
15. Preliminary pilot testing
• After completing the translated questionnaire, the respondent
is asked (verbally by an interviewer or via an open-ended
question) to elaborate what they thought each questionnaire
item and their corresponding response meant.
Importance-
• To make sure that the translated items retained the same
meaning as the original items
• To ensure there is no confusion regarding the translated
questionnaire.
17. Tips of writing questions
Use short and simple sentences
Ask only one information at a time
Avoid negatives if possible
Precise questions
Ensure the knowledge
Avoid writing direct questions
Avoid weasels words like commonly, usually
Avoid too many and too few options
19. A. Content validity-
• Content validity refers to the extent to which the items in
a questionnaire are representative of the entire theoretical
construct the questionnaire is designed to assess.
-The questions were clear and easy
-The questions covered all the problem areas
-The questionnaire lacks important questions
-Some of the questions violate your privacy.
20. B. Face Validity-
• The ability of a instrument to be understandable and relevant
to the target population.
• Refers to the degree to which the respondents or laypersons
judge the questionnaire items to be valid.
• Face validity may motivate respondents to answer more
truthfully
21. C. Construct validity-
• To measure a construct that is not directly observable (e.g.,
pain, quality of recovery).
• Can be evaluated by estimating its association with other
variables (or measures of a construct) with which it should be
correlated positively, negatively, or not at all
• In practice, the questionnaire of interest, as well as the
preexisting instruments that measure similar and dissimilar
constructs, is administered to the same groups of individuals.
22. • Correlation matrices are then used to examine the expected
patterns of associations between different measures of the
same construct, and those between a questionnaire of a
construct and other constructs. It has been suggested that
correlation coefficients of 0.1 should be considered as small,
0.3 as moderate, and 0.5 as large.
23. D. Criterion Validity-
• To measure the criterion validity of a test, researchers
must calibrate it against a known standard or against
itself.
• Comparing the test with an established measure is
known as concurrent validity; testing it over a period
of time is known as predictive validity.
24. Advantages of Questionnaire
• Can be used as a method in its own right or a basis for
interviewing or a telephone survey
• Can be e-mailed, posted, faxed
• Can cover large number of population
• Relatively Cheap
• No prior arrangements are needed
• No interview bias
• Possible anonymity of respondents
25. Disadvantages of Questionnaires
• To be inadequate to understand some forms of
information - i.e. changes of emotions, behavior, feelings
etc.
• Phenomenologists state that quantitative research is
simply an artificial creation by the researcher, as it is
asking only a limited amount of information without
explanation.
• There is no way to tell how truthful a respondent is being.
26. • There is no way of telling how much thought a
respondent has put in.
• The respondent may be forgetful or not thinking within
the full context of the situation.
• People may read differently into each question and
therefore reply based on their own interpretation of the
question - i.e. what is ‘good’ to someone may be ‘poor’ to
someone else, therefore there is a level of subjectivity
that is not acknowledged.
27. Schedule
• A schedule is a structure of a set of questions on a given
topic which are asked by the interviewer or investigator
personally.
29. Interview
• Interviewing involves asking questions and getting answers
from participants in a study.
• Interviewing has a variety of forms :
• Types-
-Face to face interview
-Phone interview
-Emailed interview
- Chat/messaging interview
30. Rules of Interview
• Careful selection of questions asked
• Start with small talks
• Recording
• Attentive
• Do not push
• Stick to the topic
31. Types of the interview
• Interviews can be –
A. Structured
B. Semi-structure
C. Unstructured.
32. Characteristics of the Structured
Interview
• The interviewer asks each respondent the same series of
questions.
• The questions are created prior to the interview, and often
have a limited set of response categories.
• There is generally little room for variation in responses
and there are few open-ended questions included in the
interview guide.
33. • Questioning is standardized and the ordering and phrasing
of the questions are kept consistent from interview to
interview.
• The interviewer plays a neutral role and acts casual and
friendly, but does not insert his or her opinion in the
interview.
• Self-administered questionnaires are a type of structured
interview.
34. When to Use a Structured Interview
• A well-developed understanding of a topic allows
researchers to create a highly structured interview guide
or questionnaire that provides respondents with relevant,
meaningful and appropriate response categories to choose
from for each question.
• Structured interviews are, therefore, best used when the
literature in a topical area is highly developed or
following the use of observational
35. Benefits of Structured interview
• Structured interviews can be conducted efficiently by
interviewers trained only to follow the instructions on the
interview guide or questionnaire.
• Structured interviews do not require the development of
rapport between interviewer and interviewee, and they
can produce consistent data that can be compared across a
number of respondents.
36. Semi-structured Interviews
Characteristics :
• The interviewer and respondents engage in a formal interview.
• The interviewer develops and uses an ‘interview guide’. This is a
list of questions and topics that need to be covered during the
conversation, usually in a particular order.
• The interviewer follows the guide, but is able to follow topical
trajectories in the conversation that may stray from the guide
when s/he feels this is appropriate.
37. When to Use Semi-structured
Interviews
• When you won’t get more than one chance to interview
someone and when you will be sending several
interviewers out into the field to collect data.
• The semi-structured interview guide provides a clear set
of instructions for interviewers and can provide reliable,
comparable qualitative data.
• Semi-structured interviews are often preceded by
observation, informal and unstructured interviewing
38. Benefits of Semi structured interview
• This allows the interviewer to be prepared and appear
competent during the interview.
• Semi-structured interviews also allow informants the
freedom to express their views in their own terms.
• Semi-structure interviews can provide reliable,
comparable qualitative data.
39. Unstructured Interviews
• The interviewer and respondents engage in a formal
interview in that they have a scheduled time to sit and
speak with each other and both parties recognize this to
be an interview.
• The interviewer has a clear plan in mind regarding the
focus and goal of the interview. This guides the
discussion.
40. • There is not a structured interview guide. Instead, the
interviewer builds rapport with respondents, getting
respondents to open-up and express themselves in their
own way.
• Questions tend to be open-ended and express little control
over informants’ responses.
41. When to Use Unstructured Interviews:
The researcher has developed enough of an understanding
of a setting and his/her topic of interest to have a clear
agenda for the discussion with the informant, but still
remains open to having his/her understanding of the area
of inquiry open to revision by respondents
42. Benefits of Unstructured interview
• Unstructured interviews are an extremely useful method
for developing an understanding of an as-of-yet not fully
understood or appreciated culture, experience, or setting.
• Unstructured interviews allow researchers to focus the
respondents’ talk on a particular topic of interest.
• Unstructured interviews can be an important preliminary
step toward the development of more structured interview
guides or surveys.