This document discusses different approaches to analyzing qualitative and quantitative data from research. It addresses questions like what types of data are common, how to find meanings and patterns, and how to display results effectively. The document provides an overview of quantitative data analysis methods like statistical tests and summarizing data in tables and charts. It also discusses qualitative data analysis, including reducing and organizing text data, coding, conceptualizing, and interpreting meanings. The goal is to help researchers choose appropriate analysis methods based on their research questions, methodological approach, and type of data collected.
This is a sample thesis defense external mentor service. I have helped my client in preparing the pre-defense that enables original thinking, making proper points that enable approval from the university to complete the thesis and present at the end of the term
In this presentation, we discuss the key steps for cleaning and managing data in SPSS. We will review removal of participants, imputation, creating composite scores, and checking for outliers.
This is a sample thesis defense external mentor service. I have helped my client in preparing the pre-defense that enables original thinking, making proper points that enable approval from the university to complete the thesis and present at the end of the term
In this presentation, we discuss the key steps for cleaning and managing data in SPSS. We will review removal of participants, imputation, creating composite scores, and checking for outliers.
Recommending Scientific Papers: Investigating the User CurriculumJonathas Magalhães
In this paper, we propose a Personalized Paper Recommender System, a new user-paper based approach that takes into consideration the user academic curriculum vitae. To build the user profiles, we use a Brazilian academic platform called CV-Lattes. Furthermore, we examine some issues related to user profiling, such as (i) we define and compare different strategies to build and represent the user profiles, using terms and using concepts; (ii) we verify how much past information of a user is required to provide good recommendations; (iii) we compare our approaches with the state-of-art in paper recommendation using the CV-Lattes. To validate our strategies, we conduct a user study experiment involving 30 users in the Computer Science domain. Our results show that (i) our approaches outperform the state-of-art in CV-Lattes; (ii) concepts profiles are comparable with the terms profiles; (iii) analyzing the content of the past four years for terms profiles and five years for concepts profiles achieved the best results; and (iv) terms profiles provide better results but they are slower than concepts profiles, thus, if the system needs real time recommendations, concepts profiles are better.
Editing is the essential thing for any type of the things. whether it is a movie, report, research project, short films. But while coming to the point of research methodology it will play an important role.....
KINLDE Advanced Statistics in Research Reading Understanding and Writing Up...siroisisashgerry
emiAdvanced Statistics in Research Reading Understanding and Writing Up Data Analysis Resultsi is the simple nontechnical introduction to the most complex multivariate statistics presented in empirical research articles.em wwwStatsInResearch.com is a companion website that provides free sample chapters exercises and PowerPoint slides for students and teachers. A free 600item test bank is available to instructors. Advanced Statistics in Research does not show how to perform statistical proceduresit bshows how to readb bunderstandb and binterpret bthem as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold multiple regression logistic regression discriminant analysis ANOVA ANCOVA MANOVA factor analysis path analysis structural equation modeling metaanalysisand more. Advanced Statistics in Research assumes that you have never had a course in statistics. It begins at the beginning with research design central tendency variability z scores and the normal curve. You will learn (or relearn) the bigthree results that are common to most procedures statistical significance confidence intervals and effect size. Stepbystep each chapter gently builds on earlier concepts. bMatrix algebra is avoided and complex topics are explained using simple easytounderstand examplesb. bNeed help writing up your resultsb Advanced Statistics in Research shows how dataanalysis results can be summarized in text tables and figures according to APA format. You will see how to present the basics (e.g. means and standard deviations) as well as the advanced (e.g. factor patterns posthoc tests path models and more). Advanced Statistics in Research is appropriate as a textbook for graduate students and upperlevel undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
This presentation has given assistance to many students of both college and university level before and they found some pretty good and positive results after implementing these tips and techniques for their term paper writing.http://www.paperomatic.com/research-papers/
In this webinar, we discuss the basics of moderating effects and mediating effects. We explain the differences between moderation and mediation, when moderation and mediation are appropriate to conduct, and the statistical analyses used to test moderation and mediation.
At the University of Calgary, we used real‐time data on student applications to provide the Enrolment Services with better predictive analytics on the students that were offered a place at the University. IR offices are well placed to leverage institutional data to make these predictions. Our knowledge of the data and analytical tools can make us leaders in predictive analytics at our institutions. This presentation will discuss the issues about developing the models, finding the best model and putting it to use. These lessons are applicable to applying these techniques to many situations.
During this presentation, we discuss the various types of regression models (linear, logistic, hierarchical). We identify the best model to use based on your research questions and goals. We will also cover the concept of dummy coding for categorical/ordinal predictor variables.
Recommending Scientific Papers: Investigating the User CurriculumJonathas Magalhães
In this paper, we propose a Personalized Paper Recommender System, a new user-paper based approach that takes into consideration the user academic curriculum vitae. To build the user profiles, we use a Brazilian academic platform called CV-Lattes. Furthermore, we examine some issues related to user profiling, such as (i) we define and compare different strategies to build and represent the user profiles, using terms and using concepts; (ii) we verify how much past information of a user is required to provide good recommendations; (iii) we compare our approaches with the state-of-art in paper recommendation using the CV-Lattes. To validate our strategies, we conduct a user study experiment involving 30 users in the Computer Science domain. Our results show that (i) our approaches outperform the state-of-art in CV-Lattes; (ii) concepts profiles are comparable with the terms profiles; (iii) analyzing the content of the past four years for terms profiles and five years for concepts profiles achieved the best results; and (iv) terms profiles provide better results but they are slower than concepts profiles, thus, if the system needs real time recommendations, concepts profiles are better.
Editing is the essential thing for any type of the things. whether it is a movie, report, research project, short films. But while coming to the point of research methodology it will play an important role.....
KINLDE Advanced Statistics in Research Reading Understanding and Writing Up...siroisisashgerry
emiAdvanced Statistics in Research Reading Understanding and Writing Up Data Analysis Resultsi is the simple nontechnical introduction to the most complex multivariate statistics presented in empirical research articles.em wwwStatsInResearch.com is a companion website that provides free sample chapters exercises and PowerPoint slides for students and teachers. A free 600item test bank is available to instructors. Advanced Statistics in Research does not show how to perform statistical proceduresit bshows how to readb bunderstandb and binterpret bthem as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold multiple regression logistic regression discriminant analysis ANOVA ANCOVA MANOVA factor analysis path analysis structural equation modeling metaanalysisand more. Advanced Statistics in Research assumes that you have never had a course in statistics. It begins at the beginning with research design central tendency variability z scores and the normal curve. You will learn (or relearn) the bigthree results that are common to most procedures statistical significance confidence intervals and effect size. Stepbystep each chapter gently builds on earlier concepts. bMatrix algebra is avoided and complex topics are explained using simple easytounderstand examplesb. bNeed help writing up your resultsb Advanced Statistics in Research shows how dataanalysis results can be summarized in text tables and figures according to APA format. You will see how to present the basics (e.g. means and standard deviations) as well as the advanced (e.g. factor patterns posthoc tests path models and more). Advanced Statistics in Research is appropriate as a textbook for graduate students and upperlevel undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
This presentation has given assistance to many students of both college and university level before and they found some pretty good and positive results after implementing these tips and techniques for their term paper writing.http://www.paperomatic.com/research-papers/
In this webinar, we discuss the basics of moderating effects and mediating effects. We explain the differences between moderation and mediation, when moderation and mediation are appropriate to conduct, and the statistical analyses used to test moderation and mediation.
At the University of Calgary, we used real‐time data on student applications to provide the Enrolment Services with better predictive analytics on the students that were offered a place at the University. IR offices are well placed to leverage institutional data to make these predictions. Our knowledge of the data and analytical tools can make us leaders in predictive analytics at our institutions. This presentation will discuss the issues about developing the models, finding the best model and putting it to use. These lessons are applicable to applying these techniques to many situations.
During this presentation, we discuss the various types of regression models (linear, logistic, hierarchical). We identify the best model to use based on your research questions and goals. We will also cover the concept of dummy coding for categorical/ordinal predictor variables.
Part of a course I run introducing quantitative methods. One of the slideshows on my site www.kevinmorrell.org.uk please reference the site if you use any of it - hope it is useful.
This is a modified version of Master Class that Dr Siobhan O'Dwyer delivered at the Griffith University School of Nursing's Annual Research School for postgraduate students.
Research design decisions and be competent in the process of reliable data co...Stats Statswork
Research Design may be described as the researchers scheme of outlining the flow of his project. It is based on research design, that the researcher goes about gathering data to answer his research question. It enables the researcher to prioritize his work, create better questionnaires and arrive at conclusions with greater clarity. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
Learn More: http://bit.ly/2S312hb
Why Statswork?
Plagiarism Free | Unlimited Support | Prompt Turnaround Times | Subject Matter Expertise | Experienced Bio-statisticians & Statisticians | Statistics Across Methodologies | Wide Range Of Tools & Technologies Supports | Tutoring Services | 24/7 Email Support | Recommended by Universities
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Brief look at the nature of global communications and the ways it's changing how we can organise, share, cooperate and act collectively to change things.
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
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/
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
![Today’s Session ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)