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  2. Observer bias - Wikipedia

    en.wikipedia.org/wiki/Observer_bias

    Research has shown that in the presence of observer bias in outcome assessment, it is possible for treatment effect estimates to be exaggerated by between a third to two-thirds, symbolising significant implications on the validity of the findings and results of studies and procedures. [1]

  3. Implicature - Wikipedia

    en.wikipedia.org/wiki/Implicature

    The hearer can now draw the contextual implications that +> Susan needs to be cheered up. +> Peter wants me to ring Susan and cheer her up. If Peter intended the hearer to come to these implications, they are implicated conclusions. Implicated premises and conclusions are the two types of implicatures in the relevance theoretical sense. [51]

  4. Further research is needed - Wikipedia

    en.wikipedia.org/wiki/Further_research_is_needed

    Indeed, authors may recommend "further research" when, given the existing evidence, further research would be extremely unlikely to be approved by an ethics committee. [ 3 ] Studies finding that a treatment has no noticeable effects are sometimes greeted with statements that "more research is needed" by those convinced that the treatment is ...

  5. Analysis of clinical trials - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_clinical_trials

    The LOCF method allows for the analysis of the data. However, recent research shows that this method gives a biased estimate of the treatment effect and underestimates the variability of the estimated result. [8] [9] As an example, assume that there are 8 weekly assessments after the baseline observation. If a patient drops out of the study ...

  6. List of psychological effects - Wikipedia

    en.wikipedia.org/wiki/List_of_psychological_effects

    Ambiguity effect; Assembly bonus effect; Audience effect; Baader–Meinhof effect; Barnum effect; Bezold effect; Birthday-number effect; Boomerang effect; Bouba/kiki effect

  7. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or irrelevant answers. [ 1 ] Incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge (see epistemology ) and reality (see ontology ), often shaped ...

  8. Implication (information science) - Wikipedia

    en.wikipedia.org/wiki/Implication_(information...

    An implication A→B is simply a pair of sets A⊆M, B⊆M, where M is the set of attributes under consideration. A is the premise and B is the conclusion of the implication A→B . A set C respects the implication A→B when ¬(C⊆A) or C⊆B.

  9. Methodology - Wikipedia

    en.wikipedia.org/wiki/Methodology

    The discussion of background assumptions can include metaphysical and ontological issues in cases where they have important implications for the proper research methodology. For example, a realist perspective considering the observed phenomena as an external and independent reality is often associated with an emphasis on empirical data ...