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#mixedmethods

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Rob Whiting 📓

Response Bias is also the reason to adopt a #MixedMethods approach to any research you are conducting. Can you access any secondary research, 📊 quantitative data or analytics to support the primary, 🔍 qualitative activities you are involved in?

Can you augment what your Product or Service Users 'Say' (potentially affected by Response Bias) with what they actually 'Do' (unobserved reflecting more real-world situations and experiences)?

Media of Cooperation

We are excited about tomorrow's keynote by Jill Walker Rettberg, talking about "Qualitative methods for analysing generative AI: Experiences with machine vision and AI storytelling".
The keynote is part of our Mixed Methods Winter School on “AI Methods: From Probing to Prompting”, which centers on the implications of AI methods for new forms of sense-making and human-machine co-creation.
👉 programme: lnkd.in/gVjHKYsM
#mixedmethods #AI #digitalmethods #probing #prompting

Christina Silver

For 30+ years, we've been raising awareness and building capacity in social research methods through a series of short courses and other events.
surrey.ac.uk/department-sociol
Many of you know us for our specialism in Computer Assisted Qualitative Data AnalysiS (#CAQDAS) but the department also hosts many other methods courses - check them out on our website and note that we offer discounts for #UGPN members
#Qualitative #Quantitative #MixedMethods #SocialResearchMethods

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Stefan Dumont

Neu erschienen im #OpenAccess:

Die Musterhaftigkeit erbaulicher Textsorten des Deutschen. Eine quantitativ-qualitative Untersuchung der erbaulichen Prosaschrift und der evangelischen Leichenpredigt des 17. Jahrhunderts. Von Susanne Haaf-Dumont. Univ. Dissertation, Paderborn 2024.

doi.org/10.17619/UNIPB/1-1989

digital.ub.uni-paderborn.deDie Musterhaftigkeit erbaulicher Textsorten des Deutschen : eine quantitativ-qualitative Untersuchung der erbaulichen Prosaschrift und der evangelischen Leichenpredigt des 17. Jahrhunderts / von Susanne Haaf-Dumont ; Betreuung: Prof. Dr. Britt-Marie Schuster (Universität Paderborn), Zweitbetreuung: Prof. Dr. Joachim Scharloth (Waseda University Tokyo)By Haaf-Dumont, Susanne
#korpuslinguistik#germanistik#textsorten
Christina Silver

Coming soon, Episode 8 of my #CAQDASchat podcast when I'm chatting with Dr Eli Lieber, co-founder/CEO of Dedoose and co-founder of the Institute for #MixedMethods Research #IMMR. Our chat will be on Spotify and YouTube. If you're interested in collaborative #qualitative and #MixedMethods analysis, the development of #Dedoose out of practical roots deriving from research need and if you want to see the Dedoose Moose... check it out 😀
#DigitalTools #QualitativeSoftware

Ingo Rohlfing

Resolving empirical controversies with mechanistic evidence | Synthese
link.springer.com/article/10.1 #PhilSci
Disclaimer for starters: This is not meant to be a disciplinary beauty contest.
I fully agree with
- the argument that evidence about mechanisms can resolve statistical disagrements
1/ #PhilosophyOfScience #MixedMethods

SpringerLinkResolving empirical controversies with mechanistic evidence - SyntheseThe results of econometric modeling are fragile in the sense that minor changes in estimation techniques or sample can lead to statistical models that support inconsistent causal hypotheses. The fragility of econometric results undermines making conclusive inferences from the empirical literature. I argue that the program of evidential pluralism, which originated in the context of medicine and encapsulates to the normative reading of the Russo-Williamson Thesis that causal claims need the support of both difference-making and mechanistic evidence, offers a ground for resolving empirical disagreements. I analyze a recent econometric controversy regarding the tax elasticity of cigarette consumption and smoking intensity. Both studies apply plausible estimation techniques but report inconsistent results. I show that mechanistic evidence allows for discriminating econometric models representing genuine causal relations from accidental dependencies in data. Furthermore, I discuss the differences between biological and social mechanisms and mechanistic evidence across the disciplines. I show that economists mainly rely on mathematical models to represent possible mechanisms (i.e., mechanisms that could produce a phenomenon of interest). Still, claiming the actuality of the represented mechanisms requires establishing that crucial assumptions of these models are descriptively adequate. I exemplify my approach to assessing the quality of mechanistic evidence in economics with an analysis of two models of rational addiction.
Canadian Association For Food Studies

A Spatial analysis of population at risk of food insecurity using the voices from a Photovoice study
An exploratory mixed-methods approach

Mikiko Terashima
Catherine Hart
Patricia Williams

#MixedMethods #FoodSecurity #SpatialAnalysis #Photovoice #GeographicInformationSystem

#Read all you want! #OpenAccess
#Share generously! #KnowledgeSharing
#Grow your understanding of #Food
#Repeat

canadianfoodstudies.uwaterloo.

canadianfoodstudies.uwaterloo.ca A Spatial analysis of population at risk of food insecurity using the voices from a Photovoice study: An exploratory mixed-methods approach | Canadian Food Studies / La Revue canadienne des études sur l'alimentation Scholarly and community articles about food and food systems
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フラジークHladik・ラジムRadim

Lots of gems in this #mixedMethods preprint! Ranging from techniques for connecting nested data sources at different scales, to comparing individuals' reported actions with their actual behaviors, and even tricks for eliciting strong taste judgments during #qualitative interviews.
**[Integrating digital traces into mixed methods designs. An application to the study of online music listening using survey, interview & stream history data collected from the same people**](osf.io/preprints/socarxiv/ynm6)

Ingo Rohlfing

Terminology and #MixedMethods Research: A Persistent Challenge journals.sagepub.com/doi/full/ Among other things, "mixed methods" is preferred over "multimethod". Argument is that multimethod research could be quant-quant or qual-qual combination, mixed methods are qual-quant. This may be a "potato, potato" thing, but I like the editorial clarifies this. In my MMR courses, I usually say the two are different w/o having a strong basis for my claim.

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