Hodges' Model: Welcome to the QUAD: results

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Showing posts with label results. Show all posts
Showing posts with label results. Show all posts

Thursday, April 03, 2025

Survey: Identifying and Fixing Undesirable Behaviors Across Software Versions

Hello,

As part of my PhD at the University of Lille, I am currently conducting a study on how developers handle certain bug scenarios. 
The goal is to better understand current practices, the tools used, and developers' needs regarding debugging in a specific scenario. 

You can find the survey at the following address:
Your participation in this short questionnaire (5 - 10 minutes) would greatly help us analyze existing methods and identify potential gaps in the available solutions. 
This survey will be open for 6 weeks (until May 15th, 2025). The responses will be analyzed and included in a scientific publication. The results will be available here.

If you can, please feel free to share this questionnaire with other developers who might be interested. 
Every response counts and will contribute to a better understanding of the community's practices! 



A big thank you for your help and time. 


Best regards, 
Rémi Dufloer
PhD Student, University of Lille 

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Bonjour,

Dans le cadre de ma thèse à l’Université de Lille, je mène actuellement une étude sur la manière dont les développeurs gèrent certains scénarios de bugs.
L’objectif est de mieux comprendre les pratiques actuelles, les outils utilisés et les besoins des développeurs en matière de debugging sur un scénario précis.

Voici le lien du questionnaire:


https://sondages.inria.fr/index.php/462191?lang=en


Votre participation à ce court questionnaire (5 - 10 minutes) nous aiderait énormément à analyser les méthodes existantes et à identifier les éventuelles lacunes dans les solutions disponibles.
Ce survey est ouvert durant 6 semaines (fermeture le15 mai 2025).Les réponses obtenues seront analysées et feront l'objet d'une publication scientifique.Les résultats seront publiésici.

Si vous le pouvez, n’hésitez pas à partager ce questionnaire avec d’autres développeurs susceptibles d’être intéressés.
Chaque réponse compte et contribuera à une meilleure compréhension des pratiques de la communauté !

Un grand merci pour votre aide et votre temps.

Bien cordialement,

Dufloer Rémi
Doctorant, Université de Lille


________________
My source: Esug-list mailing list & checking with Rémi.

Thursday, August 04, 2022

[The CINet] Individual-Level Solutions Have Led Policy Astray

"So, what do you think?

In their journal paper "The I-Frame and the S-Frame: How Focusing on the Individual-Level Solutions Has Led Behavioral Public Policy Astray" (summary here with links to abstract and full paper), two previously self-described members of the behavioural science academic community change their view.

'An influential line of thinking in behavioral science, to which the two authors have long subscribed, is that many of society’s most pressing problems can be addressed cheaply and effectively at the level of the individual, without modifying the system in which individuals operate. Along with, we suspect, many colleagues in both academic and policy communities, we now believe this was a mistake..'

The reasons for this about-face are based around the following:

'Results from [i-frame: individual-focused] interventions have been disappointingly modest.'

'The fact that corporations have spent billions of dollars promoting i-frame interventions in the belief that such interventions will fail should make behavioral scientists uneasy.'"

...

https://www.comminit.com/global/content/cinet-individual-level-solutions-have-led-policy-astray 

 

I don't want this to sound like "Told you so!" but I'm not surprised, even as the literature and media often wax lyrical about 'synergy', constantly about 'integration' and more recently 'population health'.

I appreciate too that having a (cognitive) model is just the beginning. I really admire the practitioners in The Communication Initiative Network and other groups who grapple with funding, policy, recruitment, communication, change and outcomes around the globe.

As efforts continue across health, social care and education ... never under-estimate the relevance of conceptual tools, especially the power of not just one lever - but at least two:

Hodges' Health Career - Care Domains - Model


See also: I-dentity: How the Individual-Group runs...

Saturday, March 10, 2018

Book Review: [ii] An introduction to Health Research Methods

An introduction to Health Research Methods Where were we from Part [i]? For the book contents listing look no further. The publisher's site also provides sample pages.

For part ii we are up to chapter 14. Correlation studies, also known as aggregate or ecological studies had me scurrying to the index. While such studies usually rely on secondary analyses I thought about the power of social media to disrupt such distinctions. 'Social media' is there p.165 and this would be primary 'live' (the idea of a feed sounds 'live', but then web crawling can be quite retrospective) or secondary and might deserve a chapter of its own in. Despite such queries figures proceed to inform the analysis of correlation pp.97-100.

At step 3 we are still under a third way through  the text, excluding the glossary and index. Chapter 15 explains research timelines and protocols. While trying to formulate my own research question, I created a research plan and Gantt chart (figs 15-1 & 15-2). This prompts me to revisit the exercise as an independent scholar with the decade long aspiration to create a new website. The treatment here is aimed, of course, at research teams with responsibilities and a principal investigator. Figure 16-1 on sample populations and how they are derived I sometimes share with students on placement as I encourage them to be researchers. They should always be asking questions, as students, at their job interview and a new post provides an ideal opportunity to hear problems, issues, uncertainties. Many managers miss this - a fresh pair of eyes.

Vulnerable populations deserve and are given specific mention. Chapters 17 and 18 covers primary research concepts, such as, sample size, power estimation, reliability and validity. The systematic approach throughout the book is evident here. My initial note about lack of whitespace sees Jacobsen advocating for whitespace in questionnaire design. This advice flows into surveys, interviews and other assessments. The research essential of Boolean search is described with the process of a systematic search strategy, also allied with Forest and Funnel plots. Do take time with chapter 25 on writing research grants, even if you are an individual. It is obvious, but your financial situation can greatly affect your staying power in a programme of study that incorporates research, or is research led. Personal circumstances can change.

In step 4 if research has its quarry face, then we meet it here in (what can be) the hard-grind of data management (chapter 26) code books, data entry, data cleaning and data coding. The maths is invariably explicit in chapters 28 and 29 on descriptive statistics, regression analysis. Here the figures and text really do go hand-in-hand. If baby should never be in the corner Step 5 reminds us that research should never just be stuck on the shelf. In reporting findings you will find posters, conferences, presentations and writing papers, citing sources, and seeing an article through submission, revision to publication. A chapter deals with success - or how to keep going which brings readers to end with a glossary that is not cross referenced but the index is thorough.

This is very good introduction and the title really reflects the aim and content. This is an excellent primer that you can return to after the paint is well dry. It will be a pleasure to pass this book on to a nurse working in research - clinical trials. As is often the case there is an online access code to additional course materials. I have not broken the seal but may add further comments if they follow. There are always other things that might be included. As research stresses literature is there a way to include literacy, to wrest health literacy from the fog of the research question? Visual methods are increasingly used and the comic format used for educational, and even presentation of theses and dissertations. Genomics and the advent of (medically) personalised care may demand additional knowledge for researchers of all levels.

The other thought I alluded to in part [i] does not affect my recommendation for this book; but it concerns the primary, secondary and tertiary forms of research, literacy and access to information. Yes, these have an established place in the research process and lexicon (inclusion/exclusion criteria, informed consent...) with a history to reinforce this foundation. But is there a problem as this research is supporting health systems that really must change. Does something further in research need to change? Where and how could we incorporate the quaternary view? Never mind a chapter: could that have a step all its own?

Part [i]

With thanks to Emma Phillips, Marketing Manager: Academic Class Learning.

Friday, March 09, 2018

Book Review: An introduction to Health Research Methods [i]

An introduction to Health Research Methods
For this review, the preface says it all in the purpose of this book as a: "necessary foundation for meaningful improvements in clinical and public health practice." From an outcomes based view, to the research process itself the book is organised through five - very recognisable - steps:
  1. The Research Question 5-43
  2. Study approaches 35-100
  3. Study design and data collection 101-211
  4. Analysis 213-271
  5. Dissemination 273-345
I have included the page numbers across the steps to give you an idea of the weighting. The text cuts across the various methods, disciplines and credentials of the researcher.

If you are looking for whitespace this book is not for you. As a result though this adds of course to value-for-money. As evidence of packing-it-in the publishers have packed the pages, which for a research book is welcome. The execution while dense with ink on the page, is well delivered in presentation. The font is large, clear, distinct and readable. The adopted format is established very quickly. The first paragraph refers to a figure which is also on the first page. Figures are used to good effect throughout the book, shaded tones not colour.

As per the steps outlined above, two structures to help formulate a general research topic and question are described Exposure, Disease, Population [EPD] and PICOT. Mental health represented here encouraged my reading early on. Literature is also explored, the process of reviewing and systematic revires and meta-analysis in chapters 3 & 22.

With so much research being conducted the matter of originality and gaps in the literature are included. Figure 3-1 provides useful "Ideas for new studies" p.18, the issue of gaps also earns a figure of its own. Chapter 4 quite rightly brought pangs of guilt here dealing with "Focusing the research question" - primary (new data), secondary (existing data), tertiary (review and synthesize the literature). I have struggled to finalise a goal and set specific objectives. This did give me something to ponder upon which I will save for the end.

Each chapter begins with a pithy sentence of advice. Some chapters are very short, e.g. chapters 5 and 6 but this is justified and not suggestive of a need for an alternative structure. Step 2 signifies the arrival at more technical content; time frames, population selection, case definitions, cohort studies, cross sectional surveys, case control studies - with odds rations. This is all framed in accord with the introductory theme. Even an introductory book cannot avoid maths and Jacobsen deploys the figures to very good effect, for example Incidence in figure 11-5. Chapter 12 may be less heavy on the maths but it is a vocabulary expander for the uninitiated in research, as figure illuminate random control trial approaches, randomization efficacy, numbers needed..., flows of participants and screening a diagnostic test results (positives and negatives). The author's picking out Qualitative Research - Chapter 13 gave me hope for Hodges' model which can readily differentiate between quant and qual. And yes, brainstorming and mapping are mentioned at the start of the book.

TO BE CONTINUED...