Current Statistical Research: Anti Chinese Sentiment on Xinjiang, and Li-Meng Yan's COVID Article

I am seeking OSF collaborators and funding grant sources for these projects and their statistical experiments (Chinese sources are more than acceptable in the broad context of Sino-western research and competing think tanks in this region.) Please contact Dr Bruce Long dr.bruce.long@outlook.com

Project 1

Abstract (Draft): We are interested in the effect of religious belief, epistemic beliefs, and psychological profile on levels of Western anti-China sentiment.

Projects 2 and 3

We are interested in developing an information source-set robustness and statistical reliability measure or index for applications in political psychology and political philosophy. The specific context for application is Sino-Western relations, anti-China propaganda, and anti-China sentiement. We are designing two naturalistic studies as pilots, to be further developed into larger naturalistic studies, or else quasi-experiments or full experiments. The pilots and a meta-analysis of similar studies will be used to ascertain required sample sizes to achieve statistical power of 80% with meaningful minimum effect sizes (dependent on test statistics chosen.).

Abstract 2 (Draft) : The first experiment is intended to test how much knowledge of the upstream information sources and information source sets of Li-Meng Yan’s COVID-19 article, and of the pre-reviews of that article, inform the public’s reception of the article and their subsequent level of anti-China sentiment. The specific statistical models to be deployed are yet to be determined, and will depend upon initial pilots and meta-analyses used to determine minimum sample sizes and appropriate independent, or predictor, variables.

Abstract 3 (Draft) : The second study design is test how much knowledge of the various kinds of upstream information sources (ranked according to reliability) about Xinjiang and Uyghurs influences the degree of anti-China sentiment (dependent variable), of members of the public and policy makers in the West. Participants will be asked to complete an initial survey indicating reliable they think sources are (Likert Scale) and why.

Method (Draft):

The pilot is likely to be developed using Prolific Academic or MTurk. The full experiment may also involve an analysis of social media output from Twitter and other websites on belonging to media, government, and research bodies and institutes.

Independent or predictor variables are likely to include:

- Degree and type of exposure to information and pseudo-information source sets from media and social media sources.

- Degree and type of exposure to information and pseudo-information from sources like ASPI, Australia’s DFAT, and The US Department of State on line media

- Degree and type of exposure to information and pseudo-information from Chinese government affiliated or marked on line sources.

- Objective reliability rankings of all information sources based upon a formal ranking scale being developed by SWRG sing information theoretic precepts and principles (this will include a formal, or standardised, classification of sources versus pseudo-information sources).

The specific statistical models to be deployed are yet to be determined, and will depend upon initial pilots and meta-analyses used to determine minimum sample sizes and appropriate independent, or predictor, variables. They are likely to involve ANOVA, ANCOVA, and/or regressions analysis.

There may be a temporal sequence or within-participants component for before and after exposure to sources like ASPI, Australia’s DFAT, and The US Department of State on line media.

Anti-China and pro-China sentiment will be measured using standardised sentiment surveys and scoring systems.

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