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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Rapid reviews: A critical perspective.

Thomas Nordhausen1, Julian Hirt2

  • 1Institute for Health and Nursing Science, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen
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PubMed
Summary
This summary is machine-generated.

Rapid reviews offer faster evidence synthesis for critical decisions, but their reliability needs careful consideration. This commentary explores methods and critically reflects on the trend of rapid reviews.

Keywords:
Evidence synthesesEvidenzsynthesenMethodenMethodologieMethodologyMethodsRapid ReviewsRapid reviewsSystematic ReviewsSystematic reviews

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Area of Science:

  • Health policy
  • Evidence-based practice
  • Medical research methodology

Background:

  • High scientific uncertainty in political decision-making during crises necessitates timely and reliable evidence syntheses.
  • Systematic reviews are often too time-consuming to meet urgent needs.
  • Rapid reviews are emerging as a popular alternative for accelerated evidence synthesis.

Purpose of the Study:

  • To stimulate methodological and methodical discussions on abbreviated evidence syntheses.
  • To advance research concerning rapid review methodologies.

Main Methods:

  • Selective literature search and evaluation.
  • Focus on research specifically addressing rapid review methods.

Main Results:

  • Rapid reviews employ diverse methods to expedite literature search and evaluation.
  • Maintaining methodological quality and transparent reporting are key considerations.
  • Critical reflection on the current trend and promises of rapid reviews is provided.

Conclusions:

  • The increasing popularity of rapid reviews warrants critical examination of their effectiveness.
  • Further demands and considerations beyond rapid reviews are proposed based on the analysis.