Observation

Question 1

Observation

Answer 1

Observation Research Notes
Observation in Qualitative Research

Definition:
Observation is a fundamental method of gathering first-hand data in naturally occurring situations. The researcher assumes the role of a learner to answer the question: “What is going on here?”

The Continuum of Researcher Roles:

• Complete Observer: Views events as an outsider; not involved in activities.
• Participant-Observer: Views events as an insider but attempts to stay objective; involved in activities to some degree (one foot in, one foot out).
• Complete Participant: Fully engaged in activities while maintaining an unbiased record.

Key Concepts:

• Objectivity: Reporting facts without letting personal bias tint the data.
• Unexpected Events: Significant because they break the routine and reveal unspoken rules or hidden hierarchies.
• Reflexivity: Reflecting after the observation to separate personal emotions from the data.

Question 2

Feild notes

Answer 2

Notes on Observation and Field Notes
Field Notes in Observation Studies: In studies using observation, notes taken during or shortly after the process are called field notes.

Strategies for Recording Data:

• Observation Focus: Waiting until the observation is over allows the researcher to focus entirely on the experience, though it may lead to missing some data.
• Recording Aids: Creating a checklist or outline of key events can help ensure pertinent data is captured.
• Video Recording: Videotaping events allows for detailed notes later, but requires participant consent and awareness for ethical/human rights reasons.

Analysis and Examples:

• Critical Appraisal: Guidelines focus on whether the collected data adequately addresses the study purpose.
• Example: Hassankhani et al. (2020) conducted a focused ethnography study in a NICU setting regarding mothers’ involvement in painful procedures of neonates.

Question 3

Existing documents

Answer 3

These are “found” texts that existed before the study began. The researcher doesn’t influence their creation; they simply analyze them.

Examples: Online discussion group comments, historical records, public forums, or archives.

Benefit: They provide an authentic, “unfiltered” look at how people communicate naturally.

Question 4

Solicited (Created) Texts

Answer 4

These are documents written specifically at the request of the researcher.

Examples: Participant essays, journal entries, or structured diaries.

Delivery: These can be gathered via mail or email, allowing participants to reflect privately rather than feeling the pressure of an in-person interview.

Question 5

Media and Photovoice

Answer 5

This category involves visual or auditory data. The text highlights a specific, participatory method called Photovoice.

What is Photovoice?

The Process: Participants are given cameras (or use their own) to take photos that represent their lived experiences regarding a specific topic.

The Goal: It’s often used for advocacy and activism. It empowers participants to “speak” through images, making it a powerful tool for social change.

Usage: While popular in environmental and civic studies, the text notes it is used less frequently in nursing research.

Question 6

Data management

Answer 6

Critically Appraising Data Management
Data Management in Research

The Space Limitation:
Academic journals have strict word counts and page limits. This often forces researchers to cut out the technical “behind the scenes” details of Data Management to prioritize results and conclusions.

The “Behind the Scenes”:
Data management includes how data was:

• Collected (e.g., electronic vs. paper)
• Cleaned (handling outliers and missing values)
• Secured (encryption and privacy)
• Archived

The Power of the Appraiser:
Because these details are often missing from the final manuscript, a critical appraiser must:

1. Look for Supplemental Materials: Check for “Data Availability Statements” or links to repositories.
2. Contact Authors: Reach out to the corresponding author for missing procedural details.
3. Act as a Gatekeeper: When reviewing study proposals (IRB), insist on a full Data Management Plan before approval.

Key Insight: Don’t just trust the conclusion; investigate the data handling processes that led to it.

Question 7

Organization of materials

Answer 7

Qualitative Research Organization and Analysis
Qualitative Research Organization & Analysis

1. Concurrent Analysis (The “Active” Phase)

• Definition: Analyzing data while collection is still ongoing.
• Purpose: To refine interview questions, identify new patterns early, and determine when saturation is reached.
• Analogy: A detective building a “murder board” as new clues come in.

2. The Power of Organization

• Storage: Use multiple locations (cloud + local drive) for the mountain of data.
• File Naming: Use strict conventions to save time and maintain analytical flow.
• CAQDAS Software: Acts like a Google Docs Version History. It tracks codes (definitions), memos (decision journals), and audit trails (transparency).

3. Final Analysis (The “Reporting” Phase)

• Goal: To tell the Big Picture story of the data.
• Reporting: Instead of making changes, the researcher lets the reader know the findings, the strengths of the study, and its limitations (what it lacks).

Question 8

Immersion, analysis, comparison and dwelling

Answer 8

Qualitative Data Analysis Notes
Qualitative Data Analysis: Rigor & Methods

Qualitative research is a disciplined and rigorous process, contrary to the misconception that it is “free-wheeling.”

Key Concepts for Rigor:

• Immersion: The process of spending considerable time reading and rereading data to avoid forgetting details and to move beyond literal meanings.
• Dwelling with the Data: A term from phenomenology; it involves living with the participants’ words to uncover the “essence” or deep meaning of their experience.

Methodological Strategies:

1. Grounded Theory (Constant Comparison):
   
   • Analysis begins with the first interview.
   • Insights from early interviews inform questions for subsequent ones to build a theory from the ground up.
2. Phenomenology:
   
   • Focuses on deep reflection and “dwelling” to portray exactly what the participant meant.

Question 9

Themes

Answer 9

Qualitative Research Themes and Interpretation Summary
Qualitative Research: Themes and Interpretation

1. The Process of Abstraction

• Codes: The initial labels for specific pieces of data.
• Themes: Created by combining codes into more abstract phrases.
• Layers: Connecting themes to other themes to find a “bigger picture” or higher level of meaning.

2. The Challenge of Distance

• As themes become more abstract (big picture), it becomes harder to link them back to the original raw data.

3. Maintaining Rigor

• Audit Trail: A “behind-the-scenes” log of every decision made. It documents the steps taken to get from a quote to a high-level theme.
• Quotations: Using direct participant words to “anchor” abstract themes in reality.

4. Tools: CAQDAS

• Software: Programs like NVivo or ATLAS.ti help document and organize links automatically.
• Human Element: The researcher must still create the connections; the software only stores them.

5. Interpretation

• Explaining what findings mean by comparing them to previous research and theory.
• For nursing, this includes describing the usefulness of findings for clinical practice.

Question 10

Interpretation

Answer 10

3. Interpretation: The “So What?”
   Once the themes are established, the researcher moves into the final phase. This involves:

Contextualizing: Placing findings within the framework of existing theories.

Comparison: Seeing how these results stack up against previous research.

Clinical Relevance: Specifically in nursing research, explaining how these findings should actually change how patients are cared for.

Question 11

Different types of coding

Answer 11

The Study Topic: Why do new nurses quit within their first year?

Layer 1: Line-by-Line (Naming the Quotes)

The researcher reads the interview transcripts and labels almost every sentence.

Quote: “I was supposed to have a 30-minute lunch, but I just ate a granola bar while charting.” → Label: Skipping breaks.

Quote: “I had five patients, and three of them were high-acuity; I couldn’t keep up.” → Label: Heavy patient load.

Quote: “My preceptor rolled her eyes when I asked how to hang that med.” → Label: Unsupportive senior staff.

Layer 2: Substantive (Putting Quotes into Categories)

The researcher looks at those labels and realizes they share a “substance.” They start grouping them.

Category A: Workload Pressure. (Includes “skipping breaks” and “heavy patient load”).

Category B: Social Isolation. (Includes “unsupportive staff” and “feeling alone”).

Layer 3: Theoretical (The Big Picture Connection)

Now the researcher connects the categories to explain the “Why.”

The Theory: The researcher sees that when Workload Pressure is high AND Social Isolation is present, it leads to a bigger concept: “The Reality Shock of Bedside Nursing.”

This is the “abstract” theory that explains why they are quitting.

The Final Step: Interpretation (The Action)

Now the researcher follows the three steps we put in your note:

Contextualize: They find other research about “New Graduate Transition.”

Compare: They see their results match a 2022 study showing that “Social Support” is the #1 predictor of staying in a job.

Action: They suggest the hospital starts a “Mentorship Program” (the action) to fix the “Social Isolation” they found in their study.

How they prove they didn’t make it up (Rigor)

If the hospital CEO says, “I don’t believe in ‘Reality Shock,’” the researcher pulls out the Audit Trail:

“I got to ‘Reality Shock’ because of the ‘Social Isolation’ category, which came from these 12 quotes where nurses said their preceptors were mean to them. Here are the transcripts to prove it.”

Question 12

Rigor

Answer 12

Rigor and Value of Qualitative Research
Rigor in Qualitative Research
Defined as the trustworthiness of findings—ensuring they accurately portray participant perspectives.

Key Pillars

• Detailed Design: Comprehensive study structure.
• Careful Data Collection: Meticulous information gathering.
• Thorough Analysis: Deep and exhaustive interpretation.
• Consistency: Alignment between problem, purpose, questions, and methods.

Strategies for Rigor

• Reflexivity: Researcher self-awareness and honesty about biases.
• Audit Trails: Documentation of the research process and decisions.
• Member Checking: Returning to participants to verify the essence of their experience.
• Transcript Accuracy: Verifying written data against audio recordings.

Value in EBP
Qualitative research provides essential insights into patient values and the acceptability of healthcare actions, which quantitative data alone cannot capture.