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  Encyclopedia of Keywords > Information > Evaluation > Analysis > Tests > Statistical Significance   Michael Charnine

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    This Review contains major "Statistical Significance"- related terms, short phrases and links grouped together in the form of Encyclopedia article.


  1. Statistical significance is commonly used in the medical field to test drugs and vaccines and to determine causal factors of disease. (Web site)
  2. Statistical significance: Used to denote an observed difference found beyond chance alone. (Web site)
  3. Statistical significance is a technical term. (Web site)
  4. Statistical significance: A measure the statistical likeliness that a given numerical value is true. (Web site)
  5. Statistical significance is a function of the sample size.

Statistical Significance

  1. Variance-accounted-for-effect sizes are presented as an alternative to statistical significance testing. (Web site)
  2. However, the propriety of juxtaposing statistical significance and the effect size may also be questioned for the following reasons.
  3. Formulation of the null hypothesis is a vital step in testing statistical significance.
  4. Specifically, it is necessary to assume that statements about statistical significance and the effect size are at the same level of abstraction.
  5. In truth, statistical significance testing reveals nothing about results replicability. (Web site)

Effect Size

  1. This aids in interpreting the results, as the confidence interval for a given -- simultaneously indicates both statistical significance and effect size.
  2. The second reservation about critics' juxtaposing statistical significance and the effect size is a meta-theoretical one.
  3. Alternatives to statistical significance testing that are explored are effect size, statistical power, and confidence intervals. (Web site)
  4. Effect size, confidence interval and statistical significance: a practical guide for biologists. (Web site)

Significance Testing

  1. Schmidt, F. L. (1996). Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. (Web site)
  2. Variance-accounted-for-effect sizes are presented as an alternative to statistical significance testing. (Web site)
  3. In truth, statistical significance testing reveals nothing about results replicability. (Web site)
  4. It is suggested that statistical significance testing be used only as a guide in interpreting one's results. (Web site)
  5. Precursors leading to the advent of statistical significance testing are examined as are more recent controversies surrounding the issue. (Web site)


  1. It has been stated that statistical significance was never intended to take the place of replication in research. (Web site)
  2. Lykken, D. (1968). Statistical significance in psychological research. (Web site)
  3. McLean, J. E., & Ernest, J. M. (1998). The role of statistical significance testing in educational research. (Web site)
  4. Five methodological errors in educational research: The pantheon of statistical significance and other faux pas. (Web site)
  5. Carver - "Statistical significance ordinarily depends upon how many subjects are used in the research. (Web site)


  1. Although Q is a good measure of the density of interactions in a cluster, its statistical significance strongly depends on cluster size, n. (Web site)
  2. Researchers should be encouraged to minimize statistical significance tests and to state expectations for quantitative results as critical effect sizes. (Web site)
  3. Alternatives to statistical significance testing that are explored are effect size, statistical power, and confidence intervals. (Web site)


  1. Statistical significance can be considered to be the confidence one has in a given result.
  2. The statistical significance of a result is an estimated measure of the degree to which it is "true" (in the sense of "representative of the population").
  3. Statistical significance represents the probability that a similar outcome would be obtained if we tested the entire population.
  4. It is important to remember that statistical significance is but one criterion useful to inferential researchers. (Web site)
  5. Statistical Significance When a statistic is significant, it simply means that you are very sure that the statistic is reliable. (Web site)

Significance Tests

  1. An additional pitfall is that frequentist analyses of p-values overstates statistical significance.[1][2] See Bayes factor for details. (Web site)
  2. Use a marker to note the Bs with statistical significance < .05.
  3. In short, statistical significance may simply be the fortuitous choice of the a level.
  4. Moreover, statistical significance says nothing about the real-life importance of the data.
  5. The statistical significance of the difference has little to do with the magnitude or biological significance of the difference.

Null Hypothesis

  1. It is important to remember that statistical significance is but one criterion useful to inferential researchers. (Web site)
  2. I wonder if sampling on the fly using statistical significance is a widespread practice, without people realizing it. (Web site)
  3. Document Type: POSITION PAPER (120); CONFERENCE PAPER (150) Editorial practices revolving around tests of statistical significance are explored. (Web site)
  4. Keywords: p-value; statistical significance; null hypothesis and research hypothesis; one-tailed or two-tailed tests of significance.
  5. The statistical significance controversy is definitely not over: A rejoinder to responses by Thompson, Knapp, and Levin. (Web site)


  1. According to J. Scott Armstrong, attempts to educate researchers on how to avoid pitfalls of using statistical significance have had little success.
  2. This review found that some contemporary authors continue to use and interpret statistical significance tests inappropriately. (Web site)
  3. Examples of both errors and desirable practices in the use and reporting of statistical significance tests in JXE are noted. (Web site)
  4. Document Type: POSITION PAPER (120); CONFERENCE PAPER (150) Editorial practices revolving around tests of statistical significance are explored. (Web site)
  5. Fisher's exact test is a statistical significance test used in the analysis of contingency tables where sample sizes are small. (Web site)

Practical Significance

  1. The basic idea of statistical significance testing is discussed in Elementary Concepts.
  2. Statistical significance does not say anything about the substantive hypothesis.
  3. First, there are the ambiguity-anomaly criticisms of NHSTP, the collective point of which is that statistical significance may be reached fortuitously.
  4. Consequently, statistical significance testing must be accompanied by judgments of the event's practical significance and replicability. (Web site)
  5. The real source of the ambiguity is obscured by the suggestion that statistical significance may be manipulated by cynical researchers.


  1. Statistical Significance: Statistical significance means the likelihood that the difference found between groups could have occurred by chance alone. (Web site)
  2. When the phrase "statistical significance" is used, it means the difference is not likely to be due to chance. (Web site)
  3. Statistical significance merely provides evidence that an event did not happen by chance. (Web site)
  4. Statistical Significance Inferential Statistics: Determines how likely a given result occurred by chance alone.
  5. KEY WORDS: chance, control, reliability, replication, statistical significance.


  1. We propose a randomization-based method to control the false-positive rate and estimate statistical significance of the FCM results. (Web site)
  2. We propose a randomization-based method to control the false positive rate and estimate statistical significance of the FCM results. (Web site)
  3. CONCLUSIONS: Our results indicate the lack of compliance by authors and editors with accepted standards for the use of tests of statistical significance.


  1. Therefore a large value of P represents a small level of statistical significance and vice versa. (Web site)
  2. How the "level of statistical significance" is calculated.
  3. I can use these probabilities to indicate the level of statistical significance (the level of certainty) I have in my conclusions and decisions.

Sample Size

  1. A FINAL WARNING. Opting for sample size on the fly, then sky diving as soon as you get statistical significance, is forbidden. (Web site)
  2. Statistical significance testing is greatly influenced by sample size and often results in meaningless information being over-reported. (Web site)


  1. It is uniformly agreed that statistical significance is not the only consideration in assessing the importance of research results. (Web site)
  2. Although it is tempting to equate statistical significance with clinical importance, critical readers should avoid this temptation. (Web site)
  3. As statistical significance is usually the desired outcome, planning and running a study to achieve a high power is of prime importance to the researcher. (Web site)
  4. Authors of trials should report not only statistical significance of results but also clinical importance.
  5. All of these results reached statistical significance, and they indicate the importance of strictly adhering to all doses of anti-HIV therapy.

Database Sequences

  1. This information is useful in determining the numbers of database sequences that achieved a particular level of statistical significance.
  2. Expect This setting specifies the statistical significance threshold for reporting matches against database sequences. (Web site)

Anatomically Standardized Magnetic Resonance

  1. The z scores of statistical significance are superimposed over an anatomically standardized magnetic resonance image in a 3-dimensional view.

Small Sample Size

  1. These are most useful for seeing general patterns, since the small sample size (9) means that a very high correlation is needed for statistical significance. (Web site)


  1. The 303 study is powered to show statistical significance for the superiority of naproxcinod over placebo at 13 weeks on the three co-primary endpoints.

Pairwise Statistical Significance

  1. A statistical significance bar is an error bar that displays pairwise statistical significance between means using the visual overlap test. (Web site)
  2. Recently, a comparative study of pairwise statistical significance with database statistical significance was conducted. (Web site)


  1. On the other hand, results of high clinical relevance are not automatically unimportant if there is no statistical significance. (Web site)
  2. Statistical significance versus clinical relevance. (Web site)


  1. Island method for estimating the statistical significance of profile-profile alignment scores. (Web site)


  1. Scenarios were observed where all of the methods differed in estimate of effect and statistical significance.


  1. To understand the results of any survey, two calculations are necessary: the margin of error and the statistical significance of any differences found.
  2. The calculation of statistical significance (significance testing) is subject to a certain degree of error. (Web site)


  1. In spite of arguments to the contrary, psychologists, it is shown here, believe statistical significance (SS) signifies that a finding will replicate. (Web site)


  1. Sample size is an important component of statistical significance in that larger samples are less prone to flukes. (Web site)

Placebo Group

  1. Response ratio was also better in the gabapentin group (-0.199) than in the placebo group (-0.044), a difference that also achieved statistical significance.
  2. The teenagers taking bupropion were two times more likely (close to statistical significance) to begin smoking than the teenagers in the placebo group.
  3. In the placebo group, only changes in abdominal pain scores at weeks 6 and 8 achieved statistical significance (P < 0.05). (Web site)

Placebo Groups

  1. The difference between the test substance and placebo groups (horizontal analysis) reached statistical significance in the 24th week. (Web site)

Statistical Power

  1. In very basic terms, statistical power is the likelihood of achieving statistical significance. (Web site)

Reporting Statistical Significance

  1. The p value is the most commonly encountered way of reporting statistical significance. (Web site)

Claim Statistical Significance

  1. Although these problems are widely recognized, publishers show a clear bias in favor of reports that claim statistical significance. (Web site)


  1. Sohn (1998) presents a good argument that neither statistical significance nor effect size is indicative of the replicability of research results.

High Statistical Significance

  1. High statistical significance does not necessarily imply importance.

Statistical Significance Test

  1. Table 2. Interpretation of sample size as related to results of a statistical significance test.
  2. Statistical Significance Test A predecessor to the statistical hypothesis test.
  3. The NNP quantifies the economic significance of non-normality to complement a statistical significance test of non-normality, such as the Jarque-Bera test. (Web site)


  1. Statistical significance shows you the probability that the sample value is the population value, assuming null hypothesis of no relationship is true.


  1. In this paper, we extend the earlier work on pairwise statistical significance by incorporating with it the use of multiple parameter sets. (Web site)


  1. The mortality rate also is lower in the beta-blocker group; however, the difference does not achieve statistical significance.


  1. Although improvement in overall survival was noted, both studies did not demonstrate statistical significance. (Web site)


  1. Use of tests of statistical significance and other analytic choices in a school psychology journal: Review of practices and suggested alternatives.


  1. Recalculation of the odds ratio using the random effects model did not result in the loss of statistical significance for any of the main outcomes Table 2.
  2. A statistical test's power is the probability that the test procedure will result in statistical significance. (Web site)


  1. In this report, when IL-6 and SAA values were adjusted for CRP, their expected differences among cases and controls fell short of statistical significance. (Web site)


  1. Improvements in the six-minute walk test, the primary endpoint of the study, approached, but did not reach, statistical significance. (Web site)
  2. In this study, the primary endpoint of hemolysis reduction was achieved with high statistical significance with Soliris treatment. (Web site)
  3. A study that claims clinical relevance may lack sufficient statistical significance to make a meaningful statement. (Web site)


  1. In addition, statistical significance can change by getting more observations, or by fitting the regression line better.
  2. In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests.


  1. A Wald test is used to test the statistical significance of each coefficient (b) in the model. (Web site)
  2. A decision to keep a variable in the model might be based on the clinical or statistical significance. (Web site)


  1. Rule induction: The extraction of useful if-then rules from data based on statistical significance. (Web site)
  2. Performs simple statistical analyses of data and appropriate tests of statistical significance.
  3. Instead, permutation-based tests estimate statistical significance directly from the data being analysed. (Web site)


  1. The value of the estimator, given the value of the statistical significance depends on the standard error of the estimator and the power of the study. (Web site)


  1. Information > Evaluation > Analysis > Tests
  2. Glossaries > Glossary of Cluster Analysis /
  3. Significance
  4. Measure

Related Keywords

    * Analysis * Approach * Assessing * Central Limit Theorem * Comparisons * Conclusions * Confidence Interval * Confidence Intervals * Correlation * Correlations * Difference * Economic Significance * Effect * Effect Sizes * Evaluating * Function * Lack * Means * Method * Number * Overestimate * P-Value * P-Values * Patients * Placebo * Practical Importance * Probability * Reductions * Researchers * Sample * Significance * Significant * Statistical Significance Tests * Statistics * T-Test * T-Tests * Tests * Treatment Group * Value * Values * Variables * Variance
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  Short phrases about "Statistical Significance"
  Originally created: August 16, 2007.
  Links checked: July 08, 2013.
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