This chapter discusses preparing and evaluating research plans for quantitative and qualitative research. For quantitative research plans, it describes the key components - introduction, method, data analysis, and timeline/budget. The introduction includes the topic, literature review, and hypotheses. The method section outlines the participants, instruments, design, procedures, and data analysis. Qualitative research plans are more emergent and flexible in their design. They include components like the title, introduction with purpose and research questions, and procedures for conducting the study. Both types of plans should justify the research problem and present detailed, well-thought out steps to guide the study.
Research Gap: Situating Your Inquiry within the Study of the Topic Richa Srishti
The presentation is about the major aspects related to Research gap.
Contents:
What is Research Gap?
Significance of Research Gaps
Types of Research Gaps
Identifying Research Gaps
Challenges and Limitations
Framework to Identify Research Gaps
Presenting Research Gaps
Common Mistakes in Presenting Research Gaps
How To Write Your Research DissertationChris Jobling
This presentation describes the standard structure of your research dissertation and suggests a methodology for its successful production using modern word processing tools.
Research Gap: Situating Your Inquiry within the Study of the Topic Richa Srishti
The presentation is about the major aspects related to Research gap.
Contents:
What is Research Gap?
Significance of Research Gaps
Types of Research Gaps
Identifying Research Gaps
Challenges and Limitations
Framework to Identify Research Gaps
Presenting Research Gaps
Common Mistakes in Presenting Research Gaps
How To Write Your Research DissertationChris Jobling
This presentation describes the standard structure of your research dissertation and suggests a methodology for its successful production using modern word processing tools.
Although, quantitative and qualitative techniques are different approach, both are equally important in research methodology. Both approaches should be applied according to need and skill of researcher.
Although, quantitative and qualitative techniques are different approach, both are equally important in research methodology. Both approaches should be applied according to need and skill of researcher.
CHAPTER 4 WRITING STRATEGIES AND ETHICAL CONSIDERATIONSBefore WilheminaRossi174
CHAPTER 4 WRITING STRATEGIES AND ETHICAL CONSIDERATIONS
Before designing a proposal, it is important to have an idea of the general structure or outline of the topics and their order. The structure will differ depending on whether you write a quantitative, qualitative, or a mixed methods project. Another general consideration is to be aware of good writing practices that will help to ensure a consistent and highly readable proposal (or research project). Throughout the project, it is important to engage in ethical practices and to anticipate the ethical issues prior to the study that will likely arise. This chapter provides guidance for the overall structure of proposals or projects, writing practices that make projects easy to read, and ethical issues that need to be anticipated in research studies.
WRITING THE PROPOSAL
Arguments Presented in a Proposal
It is helpful to consider early in planning the study the major points that need to be addressed in a proposal. These points—or topics—all need to be interconnected to provide a cohesive picture of the entire project. For us, these topics seem to span all proposals, whether the project is qualitative, quantitative, or mixed methods. We think that a good place to start is by examining Maxwell’s (2013) list of the core arguments that need to be advanced in any proposal. We will summarize them in our own words:
What do readers need to better understand your topic?
What do readers need to know about your topic?
What do you propose to study?
What is the setting, and who are the people you will study?
What methods do you plan to use to collect data?
How will you analyze the data?
How will you validate your findings?
What ethical issues will your study present?
What do preliminary results show about the practicability and value of the proposed study?
These nine questions, if adequately addressed in one section for each question, constitute the foundation of good research, and they could provide the overall structure for a proposal. The inclusion of validating findings, ethical considerations (to be addressed shortly), the need for preliminary results, and early evidence of practical significance focus a reader’s attention on key elements often overlooked in discussions about proposed projects.
Format for a Qualitative Proposal
Beyond these nine questions, it is also helpful to have an overall outline or general structure for topics that will be included in a proposal for a study. Unquestionably, in qualitative research, no one structure for a qualitative proposal prevails. We do think, however, that a couple of general outlines would be helpful, especially for the student who has never written a thesis or dissertation project. Here we propose two alternative models. Example 4.1 is drawn from a constructivist/interpretivist perspective whereas Example 4.2 is based more on a participatory–social justice model of qualitative research.
Example 4.1A Qualitative Constructivist/Interpretivist Format
...
An outline of the major components of the research proposal:
Cover Page:
Title (A case study of …….)
Purpose why the research is conducted
Name and Address of the investigator (Student researcher)
Name and Address of the advisor
Logo
Month and Place where the proposal is written
Acknowledgement
Table of Contents
List of Tables
List of Figures
List of Acronyms
Background of the study: General to specific or deductive order is recommended
Statement of the problem: (Justification of the study)
Research Objectives, Research Questions, and Research Hypothesis:
1.3.1 Research Objectives – Ends to be met in conducting the research
This shows what the investigator will analyze and how;
What comparisons to make and at what level
General Objective: Often one statement directly related to the topic.
Specific Objectives: Often 3-5;
What the researcher want to achieve
What to analyze and compare
1.3.2 Research Questions – Questions to be answered to meet the research objectives or produce implications of the hypothesis.
1.3.3 Research Hypothesis (Optional) – Tentative propositions to be tested in the research.
1.4 Research Methodology:
1.4.1 Data Type and Source (Decide one of them or both by giving justifications)
Qualitative V/s Quantitative (Give reasons)
Primary Sources (Decide on which method or methods to use by stating justifiable reasons)
Questionnaires
Interviews
Observations
Focus group discussions
Secondary Sources (Decide on which method or methods to use by stating justifiable reasons) and exactly state the sources from which you will get the data.
-Reports, manuals, internal publications, data base systems, Journals and Publications for assessing existing findings and internet.
-Books for assessing theories and principles related to the topic etc.
1.4.2 Study design:
Census V/s Survey (Decide which one to use and why?).
Survey Design (Decide on the survey designs to be used by investigator clearly stating the reasons for your decision).
Sample Size (Use the sample size determinations formula as a base and make adjustments with due regard to the target population and the homogeneity or heterogeneity of the population characteristics).
Sampling Design (Show how and why you are going to use the different techniques of probability and/or non-probability sampling techniques).
1.4.3 Data Collection:
State the data collection tool or tools to be used with necessary justifications written in the proposal.
Questionnaire design
Questionnaire testing or pretesting if necessary
Research Formulation by Dr. Ved Nath Jha.pptxDrVednathJha1
During the course of Ph.D , it is the 1st step towards the steps of best research .On the basis of analysis of research methodology, conclusions are elaborated here.
Designing and Planning a Research.pptxDrHafizKosar
Research:
Research is a process of steps used to collect and analyze information to increase our understanding of a topic or issue. At a general level, research consists of three steps:
1. Pose a question.
2. Collect data to answer the question.
3. Present an answer to the question.
Salient Feature of Quantitative Research
Quantitative research is a methodological approach used in the social sciences and other fields to collect, analyze, and interpret numerical data. Here are some salient features of quantitative research:
1. Objective and Empirical: Quantitative research is focused on gathering objective, measurable data that can be analyzed statistically. It relies on empirical evidence rather than subjective opinions or interpretations.
2. Numerical Data: This research method involves the collection of numerical data, often in the form of statistics, percentages, or numerical measurements. The data can be subjected to statistical analysis for patterns and trends.
3. Structured Research Design: Quantitative studies typically have a structured and predetermined research design. The research process is planned in advance, and the data collection instruments, such as surveys or experiments, are carefully designed.
4. Large Sample Size: Quantitative research often requires a large sample size to ensure statistical reliability and generalizability of findings to a broader population. The goal is to make inferences about the population based on the data collected from the sample.
5. Statistical Analysis: Statistical methods and techniques, such as descriptive statistics, inferential statistics, and correlation analysis, are commonly used in quantitative research. These analyses help researchers draw conclusions and make predictions about the population under study.
6. Replicable and Generalizable Results: The aim of quantitative research is to produce results that are replicable and can be generalized to a larger population. This contributes to the scientific rigor and validity of the findings.
7. Closed-Ended Questions: Data collection instruments, such as surveys or questionnaires, often use closed-ended questions with predefined response options. This facilitates the quantification of responses and simplifies the analysis process.
8. Controlled Environment: In experimental quantitative research, efforts are made to control and manipulate variables to isolate cause-and-effect relationships. This allows researchers to make more precise statements about the impact of independent variables on dependent variables.
9. Objective Measurement: Quantitative research relies on objective measurements and standardized data collection methods to ensure consistency and reduce bias in the data.
10. Cross-Sectional or Longitudinal Design: Quantitative studies can be cross-sectional, examining data at a single point in time, or longitudinal, collecting data over an extended period to observe changes and trends over time.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Topics Discussed in this Chapter
Characteristics of a research plan
General considerations in developing a
research plan
Components of a quantitative research
plan
Components of a qualitative research
plan
Evaluation of a research plan
3. Characteristics of a Research
Plan
A research plan is a detailed description
of the procedures that will be used to
investigate your topic or problem.
Obj. A.1
4. Characteristics of a Research
Plan
General components of a research plan
A justification for the hypotheses or
exploration of the research problem
A detailed presentation of the steps to be
followed in conducting the study
Obj. A.1
5. Characteristics of a Research
Plan
Purposes of a written research plan
Forces the researcher to think through
every aspect of the study
Facilitates the evaluation of the proposed
study
Provides detailed procedures to guide the
conduct of the study
Obj. A.2
6. Characteristics of a Research
Plan
Benefits of a written research plan
A well thought out research plan…
saves time,
provides structure to the study,
reduces the probability of costly mistakes, and
generally results in a higher quality research
study.
Obj. A.3
7. General Considerations
Three general issues to consider when
developing a research plan
Ethics of research
Legal restrictions
Cooperation from participants
8. General Considerations
Ethics of research
Five ethical principles
Beneficence and non-malfeasance
Fidelity and responsibility
Integrity
Justice
Respect for people’s rights and dignity
Obj. 1.1
9. General Considerations
Legal restrictions
National Research Act of 1974
Protects participants
Protection from harm – not exposing subjects to risks
Informed consent – subjects participate of their own free
will with an understanding of the nature of the study and
possible risks
Stipulates that proposed research activities involving
human subjects must be reviewed and approved by an
authorized group
Internal Review Boards and Committees on Human
Subjects
Obj. 1.2 & 2.1
10. General Considerations
Legal restrictions
Family Educational Rights and Privacy Act
of 1974
Protects students’ privacy
Access to students’ records
Need for written permission to use data identifying
students
Known as the Buckley Amendment
Obj. 2.1
11. General Considerations
Two additional issues related to ethical
and legal responsibilities
Deception
Cooperation of participants
12. General Considerations
Deception
Situations in which complete information
related to the study is not given to participants
Such information would influence or change
participants’ responses
Studies can be negatively affected by informing
participants of certain details
Use of deceptive practices must be undertaken
very, very carefully
Obj. 1.2
13. General Considerations
Cooperation of participants
Gaining entry to the research site
Approval needed at several levels
Site
Administrators
Teachers
Students
Approval is not cooperation
Obj. 1.6
14. General Considerations
Cooperation from participants (continued)
Strategies to enhance cooperation
Clearly explain the benefits of the study
Afford stakeholders the opportunity to review drafts
of the report for their approval
Brief stakeholders on the findings
Provide professional development sessions for
stakeholders
Obj. 1.7
15. Quantitative Research Plans
Four major components
Introduction
Method
Data analysis
Timeline and budget
Obj. 3.1
16. Quantitative Research Plans
Introduction
Three sections
Statement of the topic
Review of the literature
Statement of the hypotheses
Statement of the topic
The topic is identified with a discussion of the
background and rationale
Stated at the beginning of the plan
Obj. 3.2
17. Quantitative Research Plans
Introduction (continued)
Review of the literature
Provides an overview of the topic and positions
the study in the context of what is known, and,
more importantly, what is not known about the
topic
Completed at the beginning of the study and
placed in the beginning of the plan
Obj. 3.2
18. Quantitative Research Plans
Introduction (continued)
Statement of the hypotheses
A formal statement specifying the hypothesis,
support for expected relationships between
variables, and operational definitions of all
variables
Hypotheses in quantitative studies are usually
deductively reasoned
Obj. 3.2
19. Quantitative Research Plans
Method
Five major sections
Participants
Instruments
Design
Procedures
Data analyses
Participants
Identifies the characteristics of the population and
sample as well as the sampling technique used
Quantitative studies typically use large samples and
probability sampling techniques
Obj. 3.3
20. Quantitative Research Plans
Method (continued)
Instruments
Descriptions of the specific measures of each variable,
the technical characteristics of the instruments, and the
administration and scoring techniques
Quantitative studies typically use non-interactive
instruments
Tests
Questionnaires
Surveys
Obj. 3.3
21. Quantitative Research Plans
Method (continued)
Design
Descriptions of the basic structure of the study
and the specific research design chosen
Quantitative studies typically use highly
structured, static designs
Obj. 3.3
22. Quantitative Research Plans
Method (continued)
Procedures
Detailed descriptions of all the steps that will be followed
in conducting the study, assumptions, and limitations
Gaining entry to the site
How subjects will be selected
The ways data will be collected and analyzed
Assumptions – any important “fact” presumed to be true
but not verified
Limitations – some aspect of the study that could have a
negative effect upon the results
Size of the sample
Length of the study
Obj. 3.3
23. Quantitative Research Plans
Method (continued)
Data analysis
Descriptions of the techniques used to analyze
the data
Descriptive statistics – statistics that summarize data
in terms of central tendency (e.g., means), variation
(e.g., standard deviations), relative position (e.g.,
standard scores), or relationships (e.g., correlations)
Inferential statistics – procedures used to infer the
likelihood of the results happening in the population
rather than just the sample
Obj. 3.3 & 3.4
24. Quantitative Research Plans
Method (continued)
Data analysis (continued)
The hypotheses usually determine the specific
research design which in turn influences the
specific analyses used
Quantitative studies usually focus on the
appropriate statistical procedures to analyze
numerical data
Obj. 3.3 & 3.4
25. Quantitative Research Plans
Timeline and budget
Timeline
Description of the major activities and
corresponding anticipated completion dates
Help assess the feasibility of conducting the
study
The resulting structure helps avoid
procrastination
A general strategy is to allow more time than
you initially think you will need!!!
Obj. 3.5 & 3.6
26. Quantitative Research Plans
Timeline and budget (continued)
Budget
Descriptions of anticipated costs that are likely
to be incurred
Salaries
Copying
Telephone
Travel
Optional in many plans
Obj. 3.5 & 3.6
27. Qualitative Research Plans
Qualitative studies are characterized by
open-ended, emergent designs
Research plans must be responsive to the
context and setting as well as the flexibility of
the design
The influence of prior fieldwork
The authors recommend pre-proposal fieldwork to
help understand the socio-cultural context of the
setting
Alternatives include drawing on one’s own
experiences or the literature
Obj. 4.1 & 4.2
28. Qualitative Research Plans
Additional ethical issues in qualitative
research
Unique emerging nature of qualitative designs
increases the likelihood of unanticipated and un-
reviewed ethical issues
Unique personal involvement with participants
raises issues
Objective collection and interpretation of data
Possibility of observing potentially illegal or
unprofessional behavior
Aligning professional and personal ethical
perspectives
Obj. 1.5
29. Qualitative Research Plans
Six general components
Title of the study
Introduction to the study
Research procedures
Potential contributions of the study
Limitations
Appendices
Obj. 4.3
30. Qualitative Research Plans
Title
Conveys key concepts of the study
Provides a framework for continued
reflection
Serves as a conceptual point of reference
Obj. 4.4
31. Qualitative Research Plans
Introduction
Four sections
Purpose statement
Framing the study
Initial research question
Related literature
Purpose statement
A clearly written, concise statement that sets
the stage for the rest of the plan
Obj. 4.5
32. Qualitative Research Plans
Introduction (continued)
Framing the study
An attempt to demonstrate the relevance of the
study using a frame of reference to which the
reader can relate
Describes the contribution of the study to
existing theory, educational policy, or the
solution of a practical problem
Obj. 4.5
33. Qualitative Research Plans
Introduction (continued)
Initial research question
Specifying research questions is difficult at this
stage given the ongoing, emergent nature of
qualitative research
Linked closely to the theory, policy, or practical
problem used to frame the study
Obj. 4.5
34. Qualitative Research Plans
Introduction (continued)
Review of the literature
Links the study to any underlying assumptions and
theories related to the initial research question
Accomplishes several things
Assesses the researcher’s preparedness to conduct the
study
Identifies potential gaps in the literature
Suggests promising educational practices
Refines the initial research question
Embeds the research questions in “guiding hypotheses”
Obj. 4.5
35. Qualitative Research Plans
Procedures
Eight sections
Description of the overall approach and rationale for the
study
Site and sample selection
Researcher’s role
Data collection methods
Data management methods
Data analysis strategies
Trustworthiness features
Ethical considerations
Obj. 4.6
36. Qualitative Research Plans
Procedures (continued)
Overall approach and rationale
Identifies the qualitative approach (e.g.,
ethnography, historical study, grounded theory,
etc.)
Provides the rationale for why the particular
approach is appropriate
Provides a link to the appropriate literature on
research methods
Obj. 4.6
37. Qualitative Research Plans
Procedures (continued)
Site and sample
Describes the rationale for choosing the
particular sample
Describes the process for gaining entry to the
site
Describes the site
Discusses the likelihood of building trusting
relationships with the participants
Obj. 4.6
38. Qualitative Research Plans
Procedures (continued)
Researcher’s role
Describes any negotiations needed to gain entry to the
site
Discusses participants’ expectations in terms of
reciprocity
Anticipates any ethical dilemmas
Data collection methods
Describes the fieldwork techniques and tools for
collecting data
Identifies multiple data sources
Obj. 4.6
39. Qualitative Research Plans
Procedures (continued)
Data management methods
Provides insights into ways by which the large
quantity of data will be manipulated
Data sources
Volume of data
Storage
Information such as times, dates, locations, etc.
Obj. 4.6
40. Qualitative Research Plans
Procedures (continued)
Data analysis strategies
Interpretive nature of the analyses of data from
fieldwork, observations, interviews, etc.
Describes procedures for collating data
Discusses the manner by which the data will be
categorized in terms of emergent themes
Provides a rationale for the conclusion and
interpretations
Obj. 4.6
41. Qualitative Research Plans
Procedures (continued)
Trustworthiness features
The researcher’s efforts to address traditional validity
and reliability issues
The use of triangulation – multiple data sources and
collection methods
Ethical considerations
Demonstrates sensitivity to the ethical issues related to
informed consent
Describes the plan to obtain informed consent
States the researcher’s personal/professional ethical
perspectives
Obj. 4.6
42. Qualitative Research Plans
Potential contribution of the research
Describes how the study will contribute to an
understanding of the phenomenon being studied
Provides a link from the possible implications of
the study to the broader framework under which
the study was begun
Limitations
Discusses any limitations related to the
researchers’ ability to deal with situations over
which they have no control
43. Qualitative Research Plans
Appendices
Provide information helpful in assessing
the value and feasibility of the study
Timeline
Proposed table of contents
Sample consent form
Internal Review Board (IRB) approval
Sample of data collection protocols
Obj. 4.7
44. Evaluation of a Research Plan
Informal assessment
Critiques by the researcher, advisors, peers and
colleagues, etc.
Critiques by experienced researchers
Formal assessment
Field tests
Pilot studies
Modifications based on the results of both
informal and formal evaluations
Obj. 5.1 & 5.2