Small is beautiful: In defense of the small-N design

(Sample) size doesn't matter after all... https://t.co/FxReOl7MfB

29 Mar 2018

An interesting read on sample size https://t.co/Ha561f18CE

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @MotoEHU: In defense of the small-N design. https://t.co/f1Ez3BiJlq

"The power of the approach we are advocating derives from the use of strong theories and computational models that predict entire functions, not just isolated points." https://t.co/LCgfkaqjwV

RT @stevenjluck: Small is beautiful: In defense of the small- N design | SpringerLink https://t.co/kfv1vqq50U

RT @MotoEHU: In defense of the small-N design. https://t.co/f1Ez3BiJlq

RT @MotoEHU: In defense of the small-N design. https://t.co/f1Ez3BiJlq

RT @MotoEHU: In defense of the small-N design. https://t.co/f1Ez3BiJlq

RT @MotoEHU: In defense of the small-N design. https://t.co/f1Ez3BiJlq

In defense of the small-N design. https://t.co/f1Ez3BiJlq

Small is beautiful: In defense of the small- N design | SpringerLink https://t.co/kfv1vqq50U

26 Mar 2018

Small is beautiful: In defense of the small-N design https://t.co/1KDlUCjjWn

26 Mar 2018

Valei-nos Nossassinhóra da Linha de Base Múltipla!!! Mas é um xabláu atrás do outro que tamo dando no establishment!!! #SingleSubjectIsBeautiful https://t.co/BaZyZniaLt

RT @TimDalgleish: In this age of large Ns and Big Data a thought-provoking case for when small-N studies in psychology are justified and ap…

In defense of small N designs https://t.co/kzzraUsO6q

RT @Anjan435: Not a small point. IMO, a critically important point. https://t.co/g52LilnBVO

Not a small point. IMO, a critically important point. https://t.co/g52LilnBVO

The often overlooked advantages of Small-N designs: https://t.co/lyuKoska2K

RT @ringoame8200: 小サンプルサイズの実験デザインを擁護する議論が成立するとは。https://t.co/6yWANLPbIk

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

Scholarly @danielrlittle https://t.co/KzBKM05G6w

RT @hakwanlau: as in the interdisciplinary/crossing-boundary/'multiple-level-of-analyses' hype stuff, this is once again the vision scienti…

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

RT @TimDalgleish: In this age of large Ns and Big Data a thought-provoking case for when small-N studies in psychology are justified and ap…

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

What’s old is new again. https://t.co/U2TFv3aTP0

Alternative view to the approach that the bigger the sample the better. Might argue for more within subject design in psychophysical studies to keep n down but not lose any power. https://t.co/bwaTeMkB79

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

“It is more useful to study one animal for 1000 hours than to study 1000 animals for one hour” — B. F. Skinner (quoted in Kerlinger and Lee (1999)) https://t.co/7GLCweeS0W

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

So good! Opens with a Skinner quote too :) We might just save psychology yet! https://t.co/rykvjJJykg

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

RT @behscience: "Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & R…

Large samples won’t solve everything https://t.co/zr4vkEWecp

RT @vukovicnikola: Small is beautiful: In defense of the small- N design -- “It is more useful to study one animal for 1000 hours than to s…

"Small is beautiful: In defense of the small-N design." (A great new article, free to download, in Psychonomic Bulletin & Review). https://t.co/Za2RvpFxXz #science #research #researchmethods #learning #behavior

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @vukovicnikola: Small is beautiful: In defense of the small- N design -- “It is more useful to study one animal for 1000 hours than to s…

Small is beautiful: In defense of the small- N design -- “It is more useful to study one animal for 1000 hours than to study 1000 animals for one hour” B. F. Skinner https://t.co/0Y1TuWGdhN

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @ringoame8200: 小サンプルサイズの実験デザインを擁護する議論が成立するとは。https://t.co/6yWANLPbIk

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

A good one for students to read & discuss in tutorials @DrSarahAGerson https://t.co/x2p41CgTEd

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @psycholojamie: Nice to see someone Sidmanian ideas being reiterated in a mainstream journal in 2018! https://t.co/myWqO5Tpdr

Tämä on oikeasti minusta varsin erinomainen juttu. Replikaatiokriisi ongelmat ovat edelleen minusta julkaisujärjestelmän ongelmia, kun sekä lehdet, että tutkijat haluavat julkaista ”tuloksia”. Tilastotiede on... https://t.co/K0zjxWxWK3

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @TimDalgleish: In this age of large Ns and Big Data a thought-provoking case for when small-N studies in psychology are justified and ap…

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

The journal "cognitive Neuropsychology" was founded in 1984 SPECIFICALLY to publish N=1 studies, and has been doing so ever since. Go there if you want examples of such studies. https://t.co/lLj2aLJcEG

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @sampendu: Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating indi…

Really nice paper by @danielrlittle in defense of small N studies! Very close to my heart especially the bit on treating individual subjects as replications https://t.co/XJvZ9lbZFj

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @jamesheathers: @ianhussey Busted link! https://t.co/VAanhU1eZ2

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @ahider: Great paper - particularly bit about process vs phenomena. Psychology! https://t.co/RK4aUb3zKf

Studies with small sample sizes can be definitive if well designed. As we hardly ever get the big budgets that are often needed for big samples, clever design with samples is a necessity! https://t.co/j94vQBRDTv

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

RT @TimDalgleish: In this age of large Ns and Big Data a thought-provoking case for when small-N studies in psychology are justified and ap…

Bigger is not always better - persuasive defence of small N designs by Smith & Little https://t.co/KxqMZDN4EQ

RT @paperbag1: Is there a word that is stronger than "Amen!"? https://t.co/z4zmWqSxI1 https://t.co/TX6pBYwhiy

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

Great paper - particularly bit about process vs phenomena. Psychology! https://t.co/RK4aUb3zKf

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @ByChrisb: Interested in *replicable* individual participant-level inference (small N designs) in psychology? Read this: https://t.co/GT…

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

Interesting paper on increasing your n of trials at the participant level, instead of increasing your N of participants. At the extreme is single case studies, where you can replicate your effect many times in just 1 participant! https://t.co/wcwEvVtlCd

RT @GregoryHickok: Stop thinking you have to run studies with large Ns to generate replicable results. https://t.co/hIAak8rV8Z

RT @MathKyle: “It is more useful to study one animal for 1000 hours than to study 1000 animals for one hour” — B. F. Skinner -https://t.co/…

RT @jamesheathers: @ianhussey Busted link! https://t.co/VAanhU1eZ2

@ianhussey Busted link! https://t.co/VAanhU1eZ2

“It is more useful to study one animal for 1000 hours than to study 1000 animals for one hour” — B. F. Skinner -https://t.co/P4zLSCktvN

"models of categorization... predict observers’ categorization performance from their identification performance, not merely on a single set of categories, but across a variety of different category structures simultaneously at the level of individual item

RT @ringoame8200: 小サンプルサイズの実験デザインを擁護する議論が成立するとは。https://t.co/6yWANLPbIk

RT @Psychunimelb: A new paper by Dr Phillip Smith and Dr Daniel Little arguing for power where you need it. https://t.co/DK0wOMuPPN

RT @ringoame8200: 小サンプルサイズの実験デザインを擁護する議論が成立するとは。https://t.co/6yWANLPbIk