The document provides guidance on developing a quantitative research design and data analysis plan for a faculty learning community project. It recommends identifying the research question, goals, objectives and intervention before data collection. It also advises choosing appropriate data collection methods and statistical tests that align with the research question and variables. The document emphasizes preparing "table shells" with planned statistical tests to envision the final data analysis and check that the research design will provide the intended results.
EXAMINING DISTRACTORS AND EFFECTIVENESS
Distractors are the multiple choice response options that are not the correct answer. They are plausible but incorrect options that are often developed based upon students’ common misconceptions or miscalculations. Item analysis software typically indicates the percentage of students who selected each option, distractors and key.
educ 11
EXAMINING DISTRACTORS AND EFFECTIVENESS
Distractors are the multiple choice response options that are not the correct answer. They are plausible but incorrect options that are often developed based upon students’ common misconceptions or miscalculations. Item analysis software typically indicates the percentage of students who selected each option, distractors and key.
educ 11
This is a brief (exploratory) discussion of how to run statistical analysis of responses to Likert items. The data used is from a study I ran on users of the PARC Wikipedia dashboard "WikiDashboard" looking at how the tool changed perceptions of credibility.
Here is a simplified version of Item Analysis for Educational Assessments. Covered here are terminologies, formulas, and processes in conducting Item Discrimination and Difficulty. Thank you. Namaste!
The Key Challenge in Behavioural ResearchQualtrics
In this webinar, Dr. Esther Tippmann will explain the Common Methods Bias - a well-documented phenomenon observed in research based on self-reported measures.
We often use surveys in which respondents are asked about their perceptions, feelings, attitudes or beliefs. Under certain circumstances such self-reported data can suffer from severe quality issues. It is the aim of this webinar to introduce some of these and discuss effective survey design remedies.
Chapter Three - Evidence-Based PracticeSascia Hayden
A summary of chapter three, Evidence-Based Practice, in e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning by Ruth C. Clark and Richard E. Mayer.
For more course tutorials visit
www.tutorialrank.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
This is a brief (exploratory) discussion of how to run statistical analysis of responses to Likert items. The data used is from a study I ran on users of the PARC Wikipedia dashboard "WikiDashboard" looking at how the tool changed perceptions of credibility.
Here is a simplified version of Item Analysis for Educational Assessments. Covered here are terminologies, formulas, and processes in conducting Item Discrimination and Difficulty. Thank you. Namaste!
The Key Challenge in Behavioural ResearchQualtrics
In this webinar, Dr. Esther Tippmann will explain the Common Methods Bias - a well-documented phenomenon observed in research based on self-reported measures.
We often use surveys in which respondents are asked about their perceptions, feelings, attitudes or beliefs. Under certain circumstances such self-reported data can suffer from severe quality issues. It is the aim of this webinar to introduce some of these and discuss effective survey design remedies.
Chapter Three - Evidence-Based PracticeSascia Hayden
A summary of chapter three, Evidence-Based Practice, in e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning by Ruth C. Clark and Richard E. Mayer.
For more course tutorials visit
www.tutorialrank.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
The emss scheme is not another safety passport scheme, but an umbrella for existing passports. It makes use of the considerable knowledge and experience of the people within the organisation to audit and approve existing safety passports, which already meet the industries exacting standards for safety health and environment. The scheme has a second constituent, which is the Competency Logbook. This enables the holder to maintain a portable competency training record that he/she can keep updated themselves. This provides the holder with the flexibility to improve their standards in the best way for themselves and gives the client the confidence to know that the card being carried shows that holder has met the essential minimum standard that they helped to drive.
The emss system takes the commitment to SHE management and performance a step further, by allowing time and funds that would have been used to put operatives through a multitude of very similar passport schemes involving much unnecessary duplication, to be better used for more relevant and specific SHE training requirements for the workforce.
Are you starting a 4.5 migration? Do you have projects pending that haven't been migrated? Have you done your migration estimates? Is there a customer breathing down your neck? Are you afraid?
We feel your pain - that's why we'd like to share our migration experiences: our ups and downs, our dead ends as well as the heureka moments.
You have to earn your migration - it's hard work without pixies and magic elves involved...
Fortunately, when we started out with the Magnolia Migration Module 1.2, we didn't feel like Indiana Jones in a deadly maze anymore.
Thanks to the Magnolia team working on the Migration Module and the great cooperation between them and us, we were successful - and you can succeed, too!
Total learning: Communities - Learning through Knowledge SharingBrightwave Group
Communities - Learning through Knowledge Sharing by Nancy Kinder, Knowledge Management and Community Coach at FeverBee
Facilitating the growth of your learning community is an
essential skill for an L&D professional.
Nancy parts with her expertise so you can enable your community to engage meaningfully and in turn build strategic relationships for your organisation.
Digital Audio - Technical Writing Class Paper - OCR ReformatPaul Teich
An Analysis of the Advantages, Disadvantages, and Standardization of Digital Audio, Texas A&M technical writing class report, April 1982 - OCR to text, imported to Microsoft Word, graphics added as images, reformatted to match original fairly closely, exported to pdf
Made to measure: Trends in personalised digital learning Brightwave Group
Personalisation across all forms of digital media is opening a wealth of opportunity for learning and development. Meg discusses the various trends of personalisation and how you can utilise these in the digital learning mix to deliver real impact for your organisation – greater employee engagement, higher retention rates and increased speed to competency.
This presentation was delivered by Meg Stevenson at Brightwave Group's 'Up close and personal: Optimising the learner experience' event, 19th November 2015, at The Brewery, London.
· Toggle DrawerOverviewFor this assessment, you will complete .docxodiliagilby
· Toggle Drawer
Overview
For this assessment, you will complete an SPSS data analysis report using t-test output for assigned variables.
You will review the theory, logic, and application of t tests. The t test is a basic inferential statistic often reported in psychological research. You will discover that t tests, as well as analysis of variance (ANOVA), compare group means on some quantitative outcome variable.
SHOW LESS
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
· Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
1. Develop a conclusion that includes strengths and limitations of an independent-samples t test.
. Competency 2: Analyze the decision-making process of data analysis.
2. Analyze the assumptions of the independent-samples t test.
. Competency 3: Apply knowledge of hypothesis testing.
3. Develop a research question, null hypothesis, alternative hypothesis, and alpha level.
. Competency 4: Interpret the results of statistical analyses.
4. Interpret the output of the independent-samples t test.
. Competency 5: Apply a statistical program's procedure to data.
5. Apply the appropriate SPSS procedures to check assumptions and calculate the independent-samples t test to generate relevant output.
. Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
6. Develop a context for the data set, including a definition of required variables and scales of measurement.
. Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
7. Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
Competency Map
CHECK YOUR PROGRESSUse this online tool to track your performance and progress through your course.
· Toggle Drawer
Context
Read Assessment 3 Context [DOC] for important information on the following topics:
SHOW LESS
. Logic of the t test.
. Assumptions of the t test.
. Hypothesis testing for a t test.
. Effect size for a t test.
. Testing assumptions: The Shapiro-Wilk test and Levene's test.
. Proper reporting of the independent-samples t test.
. t, degrees of freedom, and t value.
. Probability value.
. Effect size.
· Toggle Drawer
Questions to Consider
As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.
SHOW LESS
Various Forms of the t Test
. In w ...
tutor2u Strong Foundations A Level Psychologytutor2u
Browse the student workshop booklet for our A Level Psychology Strong Foundations exam-skills and revision workshop. For more information on how to attend the A Level Psychology Strong Foundations workshops, please visit http://www.tutor2u.net/events/a-level-psychology-strong-foundations-workshops
Psyc 355 Effective Communication - tutorialrank.comBartholomew88
For more course tutorials visit
www.tutorialrank.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the
Investigating learning strategies in a dispositional learning analytics conte...Bart Rienties
This study aims to contribute to recent developments in empirical studies on students’ learning strategies, whereby the use of trace data is combined with self-report data to distinguish profiles of learning strategy use [3, 4, 5]. We do so in the context of an application of dispositional learning analytics in a large introductory course mathematics and statistics, based on blended learning. Building on our previous work which showed marked differences in how students used worked examples as a learning strategy [7, 11], this study compares different profiles of learning strategies with learning approaches, learning outcomes, and learning dispositions. One of our key findings is that deep learners were less dependent on worked examples as a resource for learning, and that students who only sporadically used worked examples achieved higher test scores.
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the sample standard deviation?
8. The paired-samples t test has three assumptions, including all but:
For more classes visit
www.snaptutorial.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the sample standard deviation?
For more classes visit
www.snaptutorial.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the sample standard deviation?
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the sample standard deviation?
8. The paired-samples t test has three assumptions, including all but:
9. We have learned three t tests, including all of the following except
Psyc 355 Effective Communication / snaptutorial.comHarrisGeorg39
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
Week 6 DQ1. What is your research questionIs there a differen.docxcockekeshia
Week 6 DQ
1. What is your research question?
Is there a difference between the math utility of a male and a female?
2. What is the null hypothesis for your question?
Hn There is no difference in the math utility between male and female.
Alternative hypotheses can also be created in the case the null hypothesis is proven incorrect. Two alternative hypotheses are:
Ha1 Feales have a higher math utility.
Ha2 Males have a higher math utility.
3. What research design would align with this question?
According to Frankfort-Nachmias and Leon-Guerrero (2015) a descriptive research design would be best for this type of study.
4. What comparison of means test was used to answer the question (be sure to defend the use of the test using the article you found in your search)?
The independent-samples T test was used to analyze the means for this data.
5. What dependent variable was used and how is it measured?
The dependent variable is the student’s math utility. It is measured from -3.51 to 1.31(University high school longitudinal study dataset. (2009).
6. What independent variable is used and how is it measured?
Either male (1) of female (2) (University high school longitudinal study dataset. (2009).
7. If you found significance, what is the strength of the effect?
The significance was 0.0000. This is much better than the standard of .05 significance as outlined by Frankfort-Nachmias and Leon-Guerrero (2015).
8. Identify your research question and explain your results for a lay audience, what is the answer to your research question?
My research question was “Is there a difference between the math utility of a male and a female?” Based on the analysis of the means (or average) through testing using the independent-samples T test there was no measurable difference between the math utility of male or females. This leads us to accept the null hypothesis of “There is no difference in the math utility between male and female” as true.
Group Statistics
T1 Student's sex
N
Mean
Std. Deviation
Std. Error Mean
T1 Scale of student's mathematics utility
Male
9453
.0140
1.01962
.01049
Female
9349
-.0481
.97291
.01006
Independent Samples Test
Levene's Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
df
Sig. (2-tailed)
Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower
Upper
T1 Scale of student's mathematics utility
Equal variances assumed
17.400
.000
4.276
18800
.000
.06216
.01454
.03367
.09066
Equal variances not assumed
4.277
18775.932
.000
.06216
.01453
.03367
.09065
University high school longitudinal study dataset. (2009).
References
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2015). Social statistics for a diverse society (7th ed.). Thousand Oaks, CA: Sage Publications.
University high school longitudinal study dataset. (2009). Retrieved from class.waldenu.edu
The t Test for Related Samples
The t Test for Related Samples
Program Transcript
MAT.
For more classes visit
www.snaptutorial.com
Exam 1 Psych 355
3. A p level of 0.05 corresponds to a confidence level of __________%
4. In a within-groups design where one group is measured twice over time, the appropriate hypothesis test is an:
7. Why do we divide by N-1 rather than by N when estimating a population standard deviation from the sample standard deviation?
8. The paired-samples t test has three assumptions, including all
Final ExamFocus of the Final ExamThe purpose of the Final .docxssuser454af01
Final Exam
Focus of the Final Exam
The purpose of the Final Exam is to assess your understanding of the main statistical concepts covered in this course and to evaluate your ability to critically review a quantitative research article. The exam will consist of two parts: Part I includes three essay questions and Part II includes a research critique. All of your responses should be included in a single Word document for submission.
Please include the following general headings for each section of the written exam within your Word document:
Part I: Essay Questions
Essay 1
Essay 2
Essay 3
Part II: Research Study Critique
Introduction
Methods
Results
Discussion
Your complete Word document must include a title page with the following:
Student’s name
Course name and number
Instructor’s name
Date submitted
Part I: Essay Questions
There are three essay questions in this section. You must answer all three questions. The length of each essay should be one to two double-spaced pages (excluding title and reference pages). Use 12-point font and format your paper with regular 1-inch margins. Do not include the essay prompt in your document. It will not count toward the length requirement for your essays.
Essay 1
A group of researchers conducted an experiment to determine which vaccine is more effective for preventing getting the flu. They tested two different types of vaccines: a shot and a nasal spray. To test the effectiveness, 1000 participants were randomly selected with 500 people getting the shot and 500 the nasal spray. Of the 500 people were treated with the shot, 80 developed the flu and 420 did not. Of the people who were treated with the nasal spray, 120 people developed the flu and 380 did not. The level of significance was set at .05. The proportion of people who were treated with the shot who developed the flu = .16, and the proportion of the people who were treated with the nasal spray was .24. The calculated p value = .0008.
For this essay, describe the statistical approaches (e.g., identify the hypotheses and research methods) used in this excerpt from a research study. Interpret the statistical results and examine the limitations of the statistical methods. Finally, evaluate the research study as a whole and apply what you have learned about hypothesis testing and inferential statistics by discussing how you might conduct a follow-up study.
Your essay must address the following points:
Describe the research question for this experiment.
What were the null and alternative hypotheses?
Were the results of this test statistically significant?
If so, why were they significant?
Would the researchers reject or fail to reject the null hypothesis?
Do the results provide sufficient evidence to support the alternative hypothesis?
Was the sample appropriate for this study? Explain your answer.
What are some possible limitations to this study?
Discuss how you would conduct a follow up study to this one. Explain your answe ...
On evidence-based practice as a process including program evaluation (in Russ...Elspeth Slayter
In this training, I introduce the social work concept of evidence-based practice as a process that includes program evaluation. I then provide an overview of process and outcome evaluations, with examples for social workers and mentoring volunteers.
Slayter - Training on reframing disability (In Russian)Elspeth Slayter
This lecture training addresses the ways in which we can begin to reframe the way we think about people with disabilities who we work with as social workers and in mentoring programs. This lecture is written in Russian.
On the Substance-Related Treatment Gap in Medicare-Only CoverageElspeth Slayter
This presentation details a policy analysis related to the gap in health insurance coverage for adults with Medicare-only coverage who have substance-related disorders in need of treatment. Adults with Medicare-only coverage are rarely addressed as compared to elders or people who are dually-eligible for Medicaid and Medicare. And further, people don't like to think about substance-related disorders…I propose a state-specific plan to address coverage for such conditions for a potentially needy population in a way that promotes long-term cost-savings.
Describes a project related to increasing student engagement in a required applied research course for graduate social work students. Implemented a new framework for the course to facilitate student engagement - evidence-based practice process. Implemented new classroom and online activities and assignments to facilitate student engagement. Reports on results of these efforts.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
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.
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
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
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.
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.
14. Link variable type to appropriate statistical test for analytic purpose Slayter
15.
16. Slayter Cheat sheet for choosing bivariate statistics Analytic purpose you are seeking help for: Test name: Basic requirements: How to interpret: Comparing 2 or more groups on a percentage/rate Chi-square test Variable to be compared is nominal Interpret p value for statistical significance only Comparing 2 groups only on a percentage/rate Odds ratio test Variable to be compared is nominal Interpret odds (1.23 times more likely, 0.40 = 60% less likely) Comparing mean difference between 2 groups Independent samples t-test Variable to be compared is continuous Interpret p value for statistical significance only Comparing mean difference between pre and post in one group Paired samples t-test Variable to be compared is continuous Interpret p value for statistical significance only Comparing mean difference between 2 or more groups Analysis of Variance (ANOVA) Variable to be compared is continuous Interpret p value for statistical significance only, conduct post-hoc test to identify divergent group