Abstract:The Parenting Sense of Competence Scale (PSOC) is the worldwide most used instrument to measure parenting sense of competence worldwide. Considering that cultural differences influence parenting practices, the investigation of cross-cultural validity is required to ensure that PSOC scores can be compared among Aboriginal and non-Aboriginal Australians. To address this research gap, the current study employed network psychometrics to investigate the cross-cultural validity of the PSOC among Aboriginal and non-A… Show more
“…Unsurprisingly, assessment has historically been employed to reinforce colonial norms 54 . A decolonial approach means that assessment in oral health re‐search (and practices such as cross‐cultural assessment 55 ) should never be used to maintain and conform to colonial systems of knowledge, but to centre and privilege Aboriginal and Torres Strait Islander perspectives and leadership 53,56,57 . A decolonial perspective on validity also takes into account the role political power plays in oppression, liberation and wellness (‘psychopolitical validity’) 58 when developing psychological questionnaires 59 .…”
Section: Pathways Towards Decolonising Aboriginal and Torres Strait I...mentioning
ObjectivesArguably, the deficit narrative of oral health inequities, perpetuated by colonial re‐search agendas, media and sociopolitical discourse, contributes to oral disease burden and fatalism among Aboriginal and Torres Strait Islander Peoples. There remains a need to evolve the way oral health is understood, in a manner that reflects the lived experiences of Aboriginal and Torres Strait Islander Peoples.MethodsThis paper proposes decolonising methodologies as a strategy to ensure oral health re‐search creates more equitable oral health outcomes and realities for Aboriginal and Torres Strait Islander Communities. Anchored by a critical reflection of the failure of dominant oral health inequity re‐search practices to address Indigenous oral health, both in Australia and internationally, we propose five explicit pathways for decolonising Aboriginal and Torres Strait Islander oral health re‐search.ResultsWe argue the need for (1) positionality statements in all re‐search endeavours, (2) studies that honour reciprocal relationships through the development of proposals that ask questions and follow models based on Traditional Knowledges, (3) the development of culturally secure and strengths‐based data capturing tools, (4) frameworks that address the intersection of multiple axes of oppression in creating inequitable conditions and (5) decolonising knowledge translation techniques.ConclusionImportantly, we recognize that re‐search will never be entirely ‘decolonised’ due to the colonial foundations upheld by academic institutions and society more broadly; however, as oral health re‐searchers, we ascertain that there is an ethical compulsion to drive decolonising re‐search pursuits that produce equitable oral health outcomes for Aboriginal and Torres Strait Islander Communities.
“…Unsurprisingly, assessment has historically been employed to reinforce colonial norms 54 . A decolonial approach means that assessment in oral health re‐search (and practices such as cross‐cultural assessment 55 ) should never be used to maintain and conform to colonial systems of knowledge, but to centre and privilege Aboriginal and Torres Strait Islander perspectives and leadership 53,56,57 . A decolonial perspective on validity also takes into account the role political power plays in oppression, liberation and wellness (‘psychopolitical validity’) 58 when developing psychological questionnaires 59 .…”
Section: Pathways Towards Decolonising Aboriginal and Torres Strait I...mentioning
ObjectivesArguably, the deficit narrative of oral health inequities, perpetuated by colonial re‐search agendas, media and sociopolitical discourse, contributes to oral disease burden and fatalism among Aboriginal and Torres Strait Islander Peoples. There remains a need to evolve the way oral health is understood, in a manner that reflects the lived experiences of Aboriginal and Torres Strait Islander Peoples.MethodsThis paper proposes decolonising methodologies as a strategy to ensure oral health re‐search creates more equitable oral health outcomes and realities for Aboriginal and Torres Strait Islander Communities. Anchored by a critical reflection of the failure of dominant oral health inequity re‐search practices to address Indigenous oral health, both in Australia and internationally, we propose five explicit pathways for decolonising Aboriginal and Torres Strait Islander oral health re‐search.ResultsWe argue the need for (1) positionality statements in all re‐search endeavours, (2) studies that honour reciprocal relationships through the development of proposals that ask questions and follow models based on Traditional Knowledges, (3) the development of culturally secure and strengths‐based data capturing tools, (4) frameworks that address the intersection of multiple axes of oppression in creating inequitable conditions and (5) decolonising knowledge translation techniques.ConclusionImportantly, we recognize that re‐search will never be entirely ‘decolonised’ due to the colonial foundations upheld by academic institutions and society more broadly; however, as oral health re‐searchers, we ascertain that there is an ethical compulsion to drive decolonising re‐search pursuits that produce equitable oral health outcomes for Aboriginal and Torres Strait Islander Communities.
In psychological networks, one limitation of the most used community detection algorithms is that they can only assign each node (symptom) to a unique community, without being able to identify overlapping symptoms. The clique percolation (CP) is an algorithm that identifies overlapping symptoms but its performance has not been evaluated in psychological networks. In this study, we compare the CP with model parameters chosen based on fuzzy modularity (CPMod) with two other alternatives, the ratio of the two largest communities (CPRat), and entropy (CPEnt). We evaluate their performance to: (1) identify the correct number of latent factors (i.e., communities); and (2) identify the observed variables with substantive (and equally sized) cross-loadings (i.e., overlapping symptoms). We carried out simulations under 972 conditions (3x2x2x3x3x3x3): (1) data categories (continuous, polytomous and dichotomous); (2) number of factors (two and four); (3) number of observed variables per factor (four and eight); (4) factor correlations (0.0, 0.5, and 0.7); (5) size of primary factor loadings (0.40, 0.55, and 0.70); (6) proportion of observed variables with substantive cross-loadings (0.0%, 12.5%, and 25.0%); and (7) sample size (300, 500, and 1000). Performance was evaluated through the Omega index, Mean Bias Error (MBE), Mean Absolute Error (MAE), sensitivity, specificity, and mean number of isolated nodes. We also evaluated two other methods, Exploratory Factor Analysis and the Walktrap algorithm modified to consider overlap (EFA-Ov and Walk-Ov, respectively). The Walk-Ov displayed the best performance across most conditions and is the recommended option to identify communities with overlapping symptoms in psychological networks.
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