Realist Spec

Listing Results Realist Spec

Frequently Asked Questions

• What are the characteristics of a realist character?

  In realism, characters are neither entirely righteous or totally corrupt—they are complex, with both positive and negative traits. Labor: This concept plays a prominent role in many kinds of literary realism. The protagonist’s job is a significant aspect of their identity, whether for good or ill.

• What is the realist approach to review?

  In common with other theory-driven review methods, the Realist approach offers the potential for insights that go beyond the narrowly experimental paradigm of the randomized controlled trial [ 10 – 12 ].

• What are the two types of realism in film?

  There are two types of realism in film: seamless realism and aesthetic realism. Seamless realism tries to use narrative structures and film techniques to create a "reality effect" to maintain its authenticity.

• What is realrealist inquiry?

  Realist inquiry is based on a Realist philosophy of science and considers the interaction between context, mechanism and outcome. From a Realist perspective, intervention × is not thought of as having effect size Y with confidence interval Z.

• What is a realist evaluation technique?

  Pawson & Tilley (1997) describe the procedure followed in the implementation of Realist evaluation techniques in programme evaluation and emphasise that once hypotheses have been generated and data collected, the outcomes of the programme are explored, focusing on the groups that the programme benefitted and those who did not benefit.

• How to evaluate the effectiveness of programmes?

  Realist Evaluation. Effectiveness of a programme is thus not dependent on the outcomes alone (cause–effect), rather there is a consideration of the theoretical mechanisms that are applied, and the socio-historical context in which the programmes were implemented. Thus, the final explanation of a programme considers context-mechanism-outcome.

• What is a realist data analysis approach?

  Using a Realist data analysis approach. Realist data analysis is driven by the principles of realism: Realist evaluation explains change brought about by an intervention by referring to the actors who act and change (or not) a situation under specific conditions and under the influence of external events (including the intervention itself).

• What is the complete realist question?

  The complete Realist question is: “What works, for whom, in what respects, to what extent, in what contexts, and how?”. In order to answer that question, Realist evaluators aim to identify the underlying generative mechanisms that explain ‘how’ the outcomes were caused and the influence of context.