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Related Concept Videos

Review and Preview01:10

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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.
Percentiles are a type of fractile that partition data into...
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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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Adolescence is a pivotal period of identity formation, during which individuals begin to answer questions central to their sense of self, such as "Who am I?" and "Who do I hope to become?" Both parents and peers play critical roles in guiding adolescents through this complex developmental phase.
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The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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The term self-esteem is often used generically, to refer to how people feel about themselves. However, according to research, there are three distinct constructs that should not be used interchangeably (Brown & Marshall, 2006). 
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Mouse Kidney Transplantation: Models of Allograft Rejection
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Peer reviews: the dreaded rejection.

Samantha Venkatesh, Mayra Bc Maymone, Neelam A Vashi1

  • 1Boston University School of Medicine, Department of Dermatology, Boston, Massachusetts. nvashi@bu.edu.

Dermatology Online Journal
|April 11, 2018
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Summary
This summary is machine-generated.

Manuscript rejection during peer review often stems from poor methodology or statistical errors. Authors can improve acceptance rates by choosing the right journal and conducting rigorous, well-written studies.

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Area of Science:

  • Scientific publishing
  • Scholarly communication

Background:

  • Manuscript rejection is a common challenge in academic publishing.
  • Understanding reasons for rejection is crucial for researchers.

Purpose of the Study:

  • To identify frequent reasons for manuscript rejection in peer review.
  • To provide guidance for authors to enhance manuscript quality and submission success.

Main Methods:

  • This commentary analyzes common factors leading to manuscript rejection.
  • It synthesizes expert insights on improving research and writing quality.

Main Results:

  • Key rejection factors include poor methodology, flawed statistical analysis, and technical errors.
  • Irrelevance to the journal scope also contributes significantly to rejection.

Conclusions:

  • Authors should select appropriate journals, ensure study rigor, and write clearly to minimize initial rejection.
  • Manuscript rejection is a normal part of the process, and resubmission is often successful.