Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Testing Hypotheses of No Meaningful Effect
Search
Carlisle Rainey
January 04, 2013
Research
1
430
Testing Hypotheses of No Meaningful Effect
Carlisle Rainey
January 04, 2013
Tweet
Share
More Decks by Carlisle Rainey
See All by Carlisle Rainey
Topic Sampling @ SPSA 2024
carlislerainey
0
260
Topic Sampling
carlislerainey
1
470
ggcarly:theme_carly_presents()
carlislerainey
0
99
Unnecessary
carlislerainey
0
590
When BLUE Is Not Best: Non-Normal Errors and the Linear Model
carlislerainey
0
260
Dealing with Separation in Logistic Regression Models
carlislerainey
0
160
Logit Models in Small Samples
carlislerainey
0
130
When BLUE is Not Best
carlislerainey
0
480
Dealing with Separation in Logistic Regression Models
carlislerainey
0
540
Other Decks in Research
See All in Research
COFFEE-Japan PROJECT Impact Report(海ノ向こうコーヒー)
ontheslope
0
1k
Can We Teach Logical Reasoning to LLMs? – An Approach Using Synthetic Corpora (AAAI 2026 bridge keynote)
morishtr
1
170
討議:RACDA設立30周年記念都市交通フォーラム2026
trafficbrain
0
600
学習型データ構造:機械学習を内包する新しいデータ構造の設計と解析
matsui_528
6
4k
The mathematics of transformers
gpeyre
0
130
量子コンピュータの紹介
oqtopus
0
240
第二言語習得研究における 明示的・暗示的知識の再検討:この分類は何に役に立つか,何に役に立たないか
tam07pb915
0
2k
「なんとなく」の顧客理解から脱却する ──顧客の解像度を武器にするインサイトマネジメント
tajima_kaho
10
7k
SREのためのテレメトリー技術の探究 / Telemetry for SRE
yuukit
13
3.3k
LLM-jp-3 and beyond: Training Large Language Models
odashi
1
780
「車1割削減、渋滞半減、公共交通2倍」を 熊本から岡山へ@RACDA設立30周年記念都市交通フォーラム2026
trafficbrain
1
760
離散凸解析に基づく予測付き離散最適化手法 (IBIS '25)
taihei_oki
1
730
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
300
How to train your dragon (web standard)
notwaldorf
97
6.6k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
220
Optimizing for Happiness
mojombo
378
71k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.7k
Thoughts on Productivity
jonyablonski
75
5.1k
Balancing Empowerment & Direction
lara
5
950
Designing Powerful Visuals for Engaging Learning
tmiket
0
280
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
140
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.3k
SEO for Brand Visibility & Recognition
aleyda
0
4.4k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
150
Transcript
Testing Hypotheses of No Meaningful Effect Carlisle Rainey
I'd like to convince you of three things
Important 1
Our arguments are not compelling 2
Our arguments can be compelling 3
Important Step 1:
Hypotheses of no meaningful effect are crucial to complete evaluation
of theories
Interaction
Social heterogeneity increases the number of parties, but only when
electoral institutions are sufficiently permissive. “ ” Clark and Golder (2006)
Adjudication
None
None
How often do these examples occur?
30%
Our arguments are not compelling Step 2:
No American president since FDR has won a second term
when the unemployment rate topped 7.2 percent... Obama must defy that trend to keep his job. “ ” New York Times June 1, 2011 “ ”
None
None
The nation's unemployment status by itself is not going to
affect Obama's. “ ” Seth Masket June 2, 2011
My critique
Rule out implausible relationships
None
None
None
None
None
None
Insignificance can't be used to argue for “no effect.”
But doesn't everyone already know that? “ ” A skeptic
Political scientists draw strong conclusions from insignificance.
Recessions have no effect on whether a democracy is consolidated.
“ ” Svolik (2008)
Our arguments can be compelling Step 3:
just like any other hypothesis
Argue against relationships inconsistent with the hypothesis
Define substantively meaningful Step 1:
Check the 90% CI Step 2:
Only negativity about the respondent’s preferred candidate should have a
significant demobilizing effect on voter turnout. “ ” Krupnikov (2011)
What's a meaningful effect? 1% 3% 5% 7% 9%
The demobilizing effect could be as large as 9%
Those are the three things
Important 1
Our arguments are not compelling 2
Our arguments can be compelling 3
But what should I do about this? “ ” You
Go read the details crain.co/nme 1
Think about your own work. 2
Keep in mind when reviewing others' work 3
None