b-causal

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M-Bias: Confounding Control Using Three Waves of Panel Data

Causal Inference
Outcome-wide Science
Methods
Elsewhere, we have…
Nov 22, 2022
Joseph Bulbulia

Changes in Perceived Risks and Government Attitudes to COVID-19 in New Zealand: years 2021 - 2022

New Zealand Attitudes and Values Study (Panel), N = 38,551 (28,642 retained)
NZAVS
Covid
Descriptive
We investigate changes in attitudes to COVID-19 from the Time 12 to the Time 13 waves of the…
Nov 18, 2022
Joseph Bulbulia, Chris G Sibley
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NZAVS Virtue Measures introduced in 2018

Background
NZAVS
In 2018, the New Zealand Attitudes and Values Study (NZAVS) developed the following measures to investigate classical theories of virtue and human flourishing.
Nov 15, 2022
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On the Problem of Treatment Confounder Feedback

Causal Inference
Methods
Causation occurs in time. Therefore, investigating the relationship between cause and effect requires time series data.
Nov 6, 2022
Joseph Bulbulia
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G-computation in NZAVS Studies

Causal Inference
NZAVS
Methods
Suppose we want to infer whether a dichotomous exposure has a causal effect. We must answer three questions:
Nov 5, 2022
Joseph Bulbulia
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Outcome-wide Science in NZAVS Studies

Causal Inference
NZAVS
Outcome-wide Science
Methods
Confounding occurs when the statistical association between indicators in the data…
Nov 5, 2022
Joseph Bulbulia
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NZAVS Retention Graph

Background
NZAVS
The fundamental challenge of longitudinal research is participant retention. This graph presents sample retention for the New Zealand Attitudes and Values Study (NZAVS). Fi…
Nov 4, 2022
Joseph Bulbulia, Chris G Sibley
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The New Zealand Attitudes and Values Study

Background
NZAVS
The New Zealand Attitudes and Values Study (NZAVS) is a national…
Nov 2, 2022
Joseph Bulbulia
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Welcome to the b-causal lab

Background
Lab
Hello. My name is Joseph Bulbulia (Joe). I am a Professor of Psychology at Victoria University of Wellington, a member of the New Zealand Attitudes and Values Senior…
Oct 30, 2022
Joseph Bulbulia
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