Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
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“Schmittmann et al. (2013). Deconstructing the construct: A network perspective on psychological phenomena.” - Article summary
In the reflective model, the attribute is seen as the common cause of observed scores (e.g. depression causes people feeling sad). In the formative model, observed scores define or determine the attribute (e.g. depression occurs when people feel sad a lot).
Reflective models are presented as measurement models. A latent variable is introduced to account for the covariance between other variables. In the reflective model, variables are regarded as exchangeable save for measurement parameters (e.g. reliability) and correlations between the variables are spurious in the reflective model. The correlation only exists because variables are related and might be the same thing.
Formative models differ from reflective models because the variables are not exchangeable. This is because variables are hypothesised to capture different aspects of the same construct. There is also no assumption about whether the variables should correlate.
There are three problems with the conceptualization of reflective and formative models:
- Time
In reflective and formative models, time is not explicitly represented. The precedence criteria for causal relationships is not taken into account. - Inability to articulate processes
The processes of causal mechanisms cannot be described and tested using these models. - Relations between observables
Causal relationships between observable variables are neglected in these models as the models do not account for these relationships, although it is likely that there is a causal relationship between at least some observable variables.
The network model states that observable variables of latent variables should be seen as autonomous causal entities in a network of dynamical systems.
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Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
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Scientific & Statistical Reasoning – Summary interim exam 4 (UNIVERSITY OF AMSTERDAM)
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Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
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Scientific & Statistical Reasoning – Summary interim exam 4 (UNIVERSITY OF AMSTERDAM)
This bundle contains everything you need to know for the fifth interim exam for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains both articles, book chapters and lectures. It consists of the following materials:
...Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
This bundle contains all the summaries for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains the following articles:
- “Borsboom & Cramer (2013). Network analysis: An integrative
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