b-causal

Inverse Probability of Treatment Weighting: A Practical Guide

Causal Inference
NZAVS
Methods
Inverse Probability of Treatment Weighting (IPTW) is a method for estimating causal effects from observational data, using propensity scores to balance covariates between…
May 11, 2023
Joseph Bulbulia

Exploring Institutional Trust in New Zealand Pre/Post COVID-19 Pandemic

New Zealand Attitudes and Values Study: Years 2019-2022 N = 42,681
NZAVS
COVID
Descriptive
This report delves into the changes in institutional trust among New Zealanders from the pre-pandemic period in 2019 to 2022.
Mar 23, 2023
Authors TBA, Chris G Sibley, Joseph Bulbulia

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

Causal Inference
Outcome-wide Science
Methods
Elsewhere, we have described our strategy for using three waves of panel data to identify causal effects. For confounding control, we adopt VanderWeele’s modified…
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 New Zealand Attitudes and Values Study (NZAVS). The NZAVS is a national…
Nov 18, 2022
Joseph Bulbulia, Chris G Sibley

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

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

G-computation in NZAVS Studies

Causal Inference
NZAVS
Methods
Suppose we want to infer whether a binary exposure has a causal effect. We must answer three questions:
Nov 5, 2022
Joseph Bulbulia

Outcome-wide Science in NZAVS Studies

Causal Inference
NZAVS
Outcome-wide Science
Methods
Confounding occurs when the statistical association between indicators in the data do not reflect a causal association between parameters in a target population. A causal…
Nov 5, 2022
Joseph Bulbulia

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). Figu…
Nov 4, 2022
Joseph Bulbulia, Chris G Sibley

The New Zealand Attitudes and Values Study

Background
NZAVS
The New Zealand Attitudes and Values Study (NZAVS) is a national panel study that Professor Chris G Sibley started in 2009. The study has surveyed 69,021 New Zealanders. The…
Nov 2, 2022
Joseph Bulbulia

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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