Methods of Data Collection in Quantitative Research (Biostatistik)AKak Long
DEFINITION : Quantitative research, is defined as a the systematic investigation of phenomena by gathering quantifiable data and performing statistical, mathematical or computational techniques.
Quantitative research gathers information from existing and potential customers using sampling methods and sending out online surveys, online polls, questionnaires etc., the results of which can be depicted in the form of numericals.
After careful understanding of these numbers to predict the future of a product or service and make changes accordingly.
Described as the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer research questions, test hypothesis and evaluate outcome.
Importance of data collection:
Helps us search for answers and resolutions
Facilitates and improve decision-making processes and the quality of the decisions made.
#Types of quantitative research.
. Survey research
The collection of data attained by asking individuals questions by either in person, on paper, by phone or online.
2. Correlational research
Measures two variables, understand assess the statistical relationship between them with no influence from any extraneous variable.
3. Casual-comparative research
To find relationship between independent and dependent variables after an action or event has already occurred.
4. Experimental research
Researcher manipulates one variables, and control/randomizes the rest of the variables.
A comprehensive presentation based on a qualitative research methodology 'Grounded Theory, presented at Government College University Lahore, Pakistan.
Data collection is a one of the major important topic in research study, It should be clear and understandable to all students, especially in graduate studies
Difference between qualitative and quantitative research shaniShani Jyothis
nursing research### quantitative research###qualitative research###difference#### process of research ......
Quantitative Vs qualitative research.......÷######$###@@@@@@@@@@ based on hypothesis, ............., variables analysis,............ interpretation, .............
Methods of Data Collection in Quantitative Research (Biostatistik)AKak Long
DEFINITION : Quantitative research, is defined as a the systematic investigation of phenomena by gathering quantifiable data and performing statistical, mathematical or computational techniques.
Quantitative research gathers information from existing and potential customers using sampling methods and sending out online surveys, online polls, questionnaires etc., the results of which can be depicted in the form of numericals.
After careful understanding of these numbers to predict the future of a product or service and make changes accordingly.
Described as the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer research questions, test hypothesis and evaluate outcome.
Importance of data collection:
Helps us search for answers and resolutions
Facilitates and improve decision-making processes and the quality of the decisions made.
#Types of quantitative research.
. Survey research
The collection of data attained by asking individuals questions by either in person, on paper, by phone or online.
2. Correlational research
Measures two variables, understand assess the statistical relationship between them with no influence from any extraneous variable.
3. Casual-comparative research
To find relationship between independent and dependent variables after an action or event has already occurred.
4. Experimental research
Researcher manipulates one variables, and control/randomizes the rest of the variables.
A comprehensive presentation based on a qualitative research methodology 'Grounded Theory, presented at Government College University Lahore, Pakistan.
Data collection is a one of the major important topic in research study, It should be clear and understandable to all students, especially in graduate studies
Difference between qualitative and quantitative research shaniShani Jyothis
nursing research### quantitative research###qualitative research###difference#### process of research ......
Quantitative Vs qualitative research.......÷######$###@@@@@@@@@@ based on hypothesis, ............., variables analysis,............ interpretation, .............
Interview Method for Qualitative ResearchPun Yanut
Interview is the verbal conversation between two people with the objective of collecting relevant information for the purpose of research.
Interviewing, a method for conducting research, is a technique used to understand the experiences of others.
McNamra (1999), the interviewer can pursue in-depth information around the topic.
Interview may be useful as follow-up to certain respondent
Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.
This presentation is about Quantitative Research, its types and important aspects including advantages and disadvantages, characteristics and definitions.
Interview Method for Qualitative ResearchPun Yanut
Interview is the verbal conversation between two people with the objective of collecting relevant information for the purpose of research.
Interviewing, a method for conducting research, is a technique used to understand the experiences of others.
McNamra (1999), the interviewer can pursue in-depth information around the topic.
Interview may be useful as follow-up to certain respondent
Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.
This presentation is about Quantitative Research, its types and important aspects including advantages and disadvantages, characteristics and definitions.
Data and data collection in qualitative researchRizky Amelia
This is about data and data collection methods in qualitative research, including interviews, observations, introspective, think-aloud, retrospective, questionnaires, documents, and production task. completely great :)
Introduction to UX Research: Conducting Focus GroupsWilliam Evans
Let’s dispense with this little turd blossom right up front: Henry Ford never said, “If I'd asked customers what they wanted, they would have said "a faster horse,”
– it’s simply an myth
This is an introduction to the fundamentals of doing customer research with an emphasis on Focus Groups. This is part of the introduction to ux research series. In this talk we walk through the basics of focus groups, types of focus groups, as well as an in-depth explanation of process and pitfalls.
Research is usually conducted to gain a deep understanding of the client’s target users in order to apply a customer-centered approach to the strategic development of the client’s brand and product. In addition, focus groups seeks to reveal insights into how the target customers emotions, attitudes, beliefs, and experiences in using existing products and brands.
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
This presentation discusses about content analysis, its use, Types, Advantages, Issues of Reliability & Validity, Problems, Quantitative content analysis, coding, Qualitative content analysis, Creative synthesis, Data reduction and Constant comparison.,
Dr Calzada delivered a lecture regarding Mixed Methods and Triangulation as a complex way in which research combines qualitative and quantitative sequential or concurrent approach.
Introduction
In life, there are universal laws that govern everything we do. These laws are so perfect that if you were to align yourself with them, you could have so much prosperity that it would be coming out of your ears. This is because God created the universe in the image and likeness of him. It is failure to follow the universal laws that causes one to fail. The laws that were created consisted of the following: ·
Law of Gratitude: The Law of Gratitude states that you must show gratitude for what you have. By having gratitude, you speed your growth and success faster than you normally would. This is because if you appreciate the things you have, even if they are small things, you are open to receiving more.
Law of Attraction: The Law of Attraction states that if you focus your attention on something long enough you will get it. It all starts in the mind. You think of something and when you think of it, you manifest that in your life. This could be a mental picture of a check or actual cash, but you think about it with an image.
Law of Karma: the Law of Karma states that if you go out and do something bad, it will come back to you with something bad. If you do well for others, good things happen to you. The principle here is to know you can create good or bad through your actions. There will always be an effect no matter what.
Law of Love: the Law of Love states that love is more than emotion or feeling; it is energy. It has substance and can be felt. Love is also considered acceptance of oneself or others. This means that no matter what you do in life if you do not approach or leave the situation out of love, it won't work.
Law of Allowing: The Law of Allowing states that for us to get what we want, we must be receptive to it. We can't merely say to the Universe that we want something if we don't allow ourselves to receive it. This will defeat our purpose for wanting it in the first place.
Law of Vibration: the Law of Vibration states that if you wish on something and use your thoughts to visualize it, you are halfway there to get it. To complete the cycle you must use the Law of Vibration to feel part of what you want. Do this and you'll have anything you want in life.
For everything to function properly there has to be structure. Without structure, our world, or universe, would be in utter chaos. Successful people understand universal laws and apply them daily. They may not acknowledge that to you, but they do follow the laws. There is a higher power and this higher power controls the universe and what we get out of it. People who know this, but wish to direct their own lives, follow the reasons. Successful people don't sit around and say "I'll try," they say yes and act on it.
Chapter - 1
The Law of Attraction
The law of attraction is the most powerful force in the universe. If you work against it, it can only bring you pain and misery. Successful people know this but have kept it hidden from the lower class for centuries because th
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
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
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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
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3
qualitative analysis
1. QUALITATIVE DATA ANALYSIS
“Qualitative data analysis in the non-numerical
assessment of observation made through
participation observation, content analysis, indepth interview and other qualitative research
technique”
2. LINKING THEORY & ANALYSIS
•Discovering pattern
•Grounded theory Method
•Semiotics
•Conversation analysis
3. Discovering pattern
“different way of looking for patterns
in a particular research topic”
Frequency: How often does it happen
Magnitude: What is the level of it. How large
Structures: What are the different types of it
Processes: Is there any order among it
Causes: is the occurrence different among variables
Consequences: How does it affect other things after
it has occurred
4. Grounded theory method
"Grounded theory methods are a set of flexible
analytic guidelines that enable researchers to focus
their data collection and to build inductive middlerange theories through successive levels of data
analysis and conceptual development" Charmaz, K.
(2005)
“to generate or discover a theory”
5. 4 stage in grounded theory method
• 1. Comparing incidents applicable to each category :
specifying concepts; [concept of social loss, reaction
of nurses to the dying etc]
• 2. Integrating categories and their properties: what is
the relationship between concepts; additional
variables
• 3. Delimiting the theory: as relationships between
concepts emerge, check which one is relevant and
which one is not; [what cannot be considered as part
of the relationship]
• 4. Writing the Theory
6. Semiotics
•The science of signs
•Has to do with symbols and meanings
•Commonly associated with content analysis
•Semiotics is based on language but other
multiple sign systems e.g. mathematics, Morse
code etc exist.
•semiotics is a social science- agreed meaning
among a group about symbols and signs and
their socially desirable expression.
10. memoing
• Memoing
Memoing is the process of writing memos to yourself as you
develop the coding scheme
• Types of Memos
• Code notes
• Identify the code labels and theirs meanings to the
researcher.
• Theoretical notes
• Remind the researcher of idea for concept and theory
development during the coding process
• Operational notes
• Deal primarily with methodological issues. These are idea and
reminders about the data gathering coding process itself.
11. Concept Mapping
In qualitative data analysis, the researcher
spends a lot of time in committing thoughts
to paper, in organizing ideas into a coherent
conceptual approach to the data.
This process is iterative and one of trial and
error.
Placing concepts in a graphical format, called
concept mapping, can help the researcher
organize thought
