khalid qualitative research workshop

ManagingQualitative Research

Khalid Mahmood, PhD

Professor of Library & Information Science

University of the Punjab

Acknowledgement

This presentation is based on many books, notes, websites and presentations on the topic.

The presenter pays his sincere gratitude to all authors, professors and experts for their efforts and contributions.

Agenda

What is qualitative research? Qualitative traditions of inquiry Steps in qualitative study Ethical considerations Sampling Types of data Data collection Data analysis Validity, reliability and generalizability

What isqualitative research?

Qualitative research…

Allows the researcher to understand a problem or phenomenon from the perspectives of the people it involves.

Reveals a complete picture of a certain research issue.

Seeks to provide a rich understanding of a certain research issue.

In qualitative methods…

Researcher collects data in a real environment. Researcher himself/herself is the key research

tool. Focus of research is a process or activity itself,

not just results of that process or activity. Data collected is most often verbal (non-

numerical). Verbal data analysis (rarely numerical).

Comparison of quantitative and qualitative methodsQUALITATIVE QUANTITATIVE

Multiple realities Single reality

Reality is socially constructed Reality is objective

Reality is context interrelated Reality is context free

Holistic Reductionistic

Reasoning is inductive Reasoning is deductive and inductive

Discovery of meaning is the basis of knowledge

Cause-and-effect relationships are the bases of knowledge

Develops theory Tests theory

Comparison of quantitative and qualitative methods (continued)

QUALITATIVE QUANTITATIVE

Meaning of concepts Measurement of variables

Process oriented Outcome oriented

Control unimportant Control important

Rich descriptions Precise measurement of variables

Basic element of analysis is words Basic element of analysis is numbers

Uniqueness Generalization

Trustworthiness of findings Control of error

Qualitative traditions of inquiry

Biography Historical research Phenomenology Grounded theory Ethnography Ethnology Case study Symbolic interaction

Biography The study of an individual and her or his

experiences as told to the researcher or found in documents and archival material.

Life history—The study of an individual’s life and how it reflects cultural themes of the society.

Biography (continued)

Oral history—The researcher gathers personal recollections of events, their causes, and their effects from an individual or several individuals.

The researcher needs to collect extensive information about the subject of the biography.

The writer, using an interpretive approach, needs to be able to bring himself or herself into the narrative and acknowledge his or her standpoint.

Historical research

Studies available data to describe, understand, and interpret past events.

Uses primary sources of information. Does external and internal criticism of

documents or artifacts.

Phenomenology

Describes the meaning of the lived experience about a concept or a phenomenon for several individuals.

Determines what an experience means for the persons who have had the experience and are able to provide a comprehensive description of it. From the individual descriptions, general or universal meanings are derived, in other words, the essences of structures of the experience.

Grounded theory Intends to generate or discover a theory that

relates to a particular situation. If little is known about a topic, grounded theory

is especially useful. Because the theory emerges from the data, it is

said to be grounded in the data. Data collection and analysis occur

simultaneously, until “saturation” is reached. Data reviewed and coded for categories and

themes.

Ethnography A description and interpretation of a cultural

or social group or system. The researcher examines the group’s

observable patterns of behavior, customs, and ways of life.

Involves prolonged observation of the group, typically through participant observation.

Ethnography (continued)

Field work Key informants Thick description Emic (insider group perspective) and Etic

(researcher’s interpretation of social life). Context important, needs holistic view. Needs grounding in anthropology.

Ethnography (continued)

Many ethnographies may be written in a narrative or story telling approach which may be difficult for the audience accustomed to usual social science writing.

May incorporate quantitative data and archival documents.

Ethnology

Compares and analyzes the origins, distribution, technology, religion, language, and social structure of the ethnic, racial, and/or national divisions of humanity.

Case study An exploration of a “bounded system” or a

case (or multiple cases) over time through detailed, in-depth data collection involving multiple sources of information rich in context.

The context of the case involves situating the case within its setting which may be physical, social, historical and/or economic.

Symbolic interaction

Investigates how people construct meaning and shared perspectives by interacting with others.

Steps inqualitative study

1. General research question

2. Select relevant site(s) and subjects

3. Collection of relevant data

4. Interpretation of data

5. Conceptual and theoretical work

6. Tighter specification of the research question

7. Collection of further data

8. Conceptual and theoretical work

9. Write up findings

Ethical considerations

Mutual respect and trust(prolonged interaction)

Respect for social and cultural contexts Voluntary participation Informed consent Beneficence – doing good for others and

preventing harm Confidentiality

Sampling

Determining a sample Even if it were possible, it is not necessary to

collect data from everyone in a community. In qualitative research, the researcher needs to

define and select a sample. The study’s research objectives and the

characteristics of the study population determine which and how many people to select.

Sample size

Usually smaller than quantitative study. Two general guidelines: the number of

participants is sufficient when… the extent to which the selected participants represent

the range of potential participants in the setting the point at which the data gathered begin to be

redundant (data saturation)

Sampling methods

No probability sampling Three of the most common sampling

methods are:Purposive samplingQuota samplingSnowball sampling

Purposive sampling Purposive sampling groups participants according to pre-

selected criteria relevant to a particular research question. ex. Vietnamese businessmen in the USA

Sample sizes depend on: Resources and time available The study’s objectives

If the researcher needs a specific number of participants, quota sampling is better.

Quota sampling Quota sampling begins with two decisions:

What characteristics? How many people?

Characteristics are selected in order to find participants who have experience with or knowledge of the research topic.

The researcher goes into the community and selects the predetermined number of people demonstrating the pre-selected characteristics.

Snowball sampling

Snowball sampling is a form of purposive sampling.

Participants refer the researcher to other potential participants.

Snowball sampling is often used to find and recruit “hidden populations” – groups not easily accessible to researchers.

Types of data

Written field notes Audio recordings of conversations Video recordings of activities Diary recordings of activities / thoughts Documents Depth information on:

thoughts, views, interpretations priorities, importance processes, practices intended effects of actions feelings and experiences

Data collection

Three data collection strategies:1. Participant observation

2. In-depth interviews

3. Focus group interviews

Qualitative researchers may combine more than one method

Participant observation Intensive, usually long term, examination of a

social group, an organization, etc. Researcher becomes a participant in the lives of

group members Observes their behavior and learns meaning systems

(which are tied to language)

Most closely associated with Ethnography, as developed in Classical Anthropology

Now done in a variety of disciplines

Participant observation (continued)

Today most ethnographers take an overt role i.e., their identity as a researcher is known

to the people being studied Covert participation (i.e., identity

concealed from participants) is fraught with ethical issues

Steps involved in participant observation researchA. Gaining entry into the group

B. Developing and maintaining rapport

C. Developing a method for taking field notes

D. Integrating data collection and data analysis

Steps in participant observation:

Gaining entry into the group

Take into consideration the type of group formal organizations require formal entry; involves

letter writing, permission requests, etc. Informal groups – different strategy needed

Access may be gained through a gatekeeper (an individual with special status)

Want to involve key informants (those who are most knowledgeable about the group)

Steps in participant observation: Developing/maintaining rapport

Researcher must work hard to develop and maintain good relationships in the fielde.g., be sure not to become associated

with one faction in a group or organization Researcher could be blamed for

problems that arise in the setting

Steps in participant observation: Strategies for taking field notes

Include descriptions and interpretations of individuals, interactions, and events Distinguish descriptions from interpretations

Record time and location of observations, as well as key information (weather, events happening and their significance)

Keep theoretical memos – which are the tentative interpretations emerging and being assessed through further data collection

Field notes (continued)

May not be possible or advisable to take notes while in the field Important that they be done as soon after field

observation as possible

Note-taking is time-consuming because it is integral to guiding the data collection and continuing the analysis e.g., field notes for When Prophecy Failed were

well over 1,000 typed pages

Steps in participant observation: Integrating data collection and analysis Organizing field notes into different types of files

facilitates data analysis Master field file – complete journal of field notes;

number pages and include entry dates Background, history file – subfile organizing

background material Key character files – subfiles on key players in

the group or organization Analytic files – subfiles for different types of

observations or relationships

In-depth interviews

Some studies cannot employ the participant observation method

In-depth interviews allow participants to describe their experiences and the meaning of events taking place in their lives Verbatim quotes capture the language and meaning

expressed by participants Interviews are flexible and allow for probing

Interview method is quite diverse, adaptive

In-depth interviews (continued)

Three key elements for the interview method to be successful:

1. Explicit purpose – researcher and informant are aware that the discussion has a purpose

2. Ethnographic explanations – researcher tries out explanations on the participants to see if they make sense

Encourage the informants to use colloquial language, and teach the researcher its meaning

3. Ethnographic questions include:i. Descriptive questions – ask participants to describe their experiences

(e.g., their ideas, circumstances, viewpoints, dilemmas, etc)

ii. Structural questions – ask participants how they organize their world (e.g., activities)

iii. Contrast questions – ask participants what is meant by specific terminology

Interview do’s and don’ts Do listen more and talk less Do follow up on what is not clear and probe more deeply into

what is revealed Don’t use leading questions; do use open-ended questions

(“probes”) Don’t interrupt; do wait Do keep interviewee(s) focused Don’t be judgmental about or react to an interviewee’s

opinions, views, or beliefs Don’t engage in debate with an interviewee Do record everything the interviewee says and note

impressions of interviewee’s nonverbal behavior

Focus group interviews Interview format, but in a group setting

6-12 participants with common experience Dates back to the 1940s – used to assess

effectiveness of morale-boosting radio shows 1970s onward – used by market researchers 1980s onward – used by academics

Transcript of discussion is the data Plus accompanying notes Use content analysis or grounded theory approach to

analyze the data

Focus group interviews (continued)

Strengths: Open-ended question

Spontaneously deal with issues as they arise Cost-effective method of collecting data Less time-consuming

Weaknesses: One or two participants may dominate Not done in a natural setting, so little “observation” to

help understand the experience of the participants

Data analysis

Open coding

Systematic coding

Affinity diagramming

Open coding

Treat data as answers to open-ended questions

ask data specific questionsassign codes for answersrecord theoretical notes

Example: Calendar routines

Families were interviewed about their calendar routines What calendars they had Where they kept their calendars What types of events they recorded …

Written notes Audio recordings

Example: Calendar routines Step 1: translate field notes (optional)

paper digital 55

Step 2: list questions / focal points

Where do families keep their calendars?What uses do they have for their calendars?Who adds to the calendars?When do people check the calendars?…

Example: Calendar routines Step 3: go through data and ask questions

Where do families keep their calendars?57

Where do families keep their calendars?

Calendar Locations:

[KI] – the kitchen[KI][KI]

Where do families keep their calendars?

Calendar Locations:

[KI] – the kitchen[CR] – child’s room

Continue for the remaining questions….

Calendar Locations:

[KI] – the kitchen[CR] – child’s room

The result: list of codes frequency of each codea sense of the importance of each code

frequency != importance

Example 2: Calendar contents Pictures were taken of family calendars

Example: Calendar contents Step 1: list questions / focal points

What type of events are on the calendar?Who are the events for?What other markings are made on the calendar?…

Example: Calendar contents

Step 2: go through data and ask questions

What types of events are on the calendar?64

Example: Calendar contents Step 2: go through data and ask questions

What types of events are on the calendar?

Types of Events:

[FO] – family outing

What types of events are on the calendar?

Types of Events:

[FO] – family outing[AN] - anniversary

Continue for the remaining questions….

Types of Events:

[FO] – family outing[AN] - anniversary

Reporting results

Find the main themes Use quotes / scenarios to represent them Include counts for codes (optional)

Software: Microsoft Word

Software: Microsoft Excel

Software: ATLAS.ti

Software: NVivo

Systematic coding

Categories are created ahead of time from existing literature from previous open coding

Code the data just like open coding

Affinity diagramming

Goal: what are the main themes?

Write ideas on sticky notes Place notes on a large wall /

surface Group notes hierarchically to

see main themes

Example: Calendar field study

Families were given a digital calendar to use in their homes

Thoughts / reactions recorded: Weekly interview notes Audio recordings from interviews

Example: Calendar field study Step 1: Affinity notes

go through data and write observations down on post-it notes

each note contains one idea

Example: Calendar field study Step 2: Diagram building

place all notes on a wall / surface

move notes into related columns / piles

Example: Calendar field study Step 4: Affinity labels

write labels describing each group

Calendar placement is a challenge

Interface visuals affect usage

People check the calendar when not at home

Example: Calendar field study

Step 5: Further refine groupings

People check the calendar when not at home

Validity, reliability and generalizability

Threats to validity

Observer bias Invalid information resulting from the perspective the

researcher brings to the study and imposes upon it e.g., studying one’s own culture

Observer effects The impact of the observer’s participation on the

setting or the participants being studied e.g., people may do things differently

Strategies to enhance validity Intensive, long term involvement

more data, repeated observation and interviews Rich data

full and detailed descriptions Respondent validation

ask them if the reporting is correct Intervention

interact with them and see how behavior changes Searching for negative cases and alternative explanations Triangulation

collect data from a variety of settings and methods Quasi-statistics

e.g., frequency counts of the argument Comparison

multicase, multisite studies

Reliability

It is a quantitative measure. This concept is irrelevant in qualitative

research. However, to test a qualitative study for

reliability, you need to convert data into relevant numbers and determine efficacy based on the results.

Generalization

A generalization is usually thought of as a statement or claim that applies to more than one individual, group, or situation.

The value of a generalization is that it allows us to have expectations about the future.

A limitation of qualitative research is that there is seldom justification for generalizing the findings of a particular study.

Due to this problem, replication of qualitative studies becomes more important than for quantitative studies.

Thanks to all participants

khalid qualitative research workshop

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