Sentence examples for a statistical conclusion of from inspiring English sources

Note that when trees have identical topologies but different branch lengths, a statistical conclusion of partial congruence or even incongruence may be reached, depending on the level of differences among the distance matrices that cause differences in relative distance rankings.

This, along with comparative statistical tests, was used to test agreement between parents and patients and also as a test of reliability and an example of concurrent and statistical conclusion validity of the questionnaire.

(6) In the 60 80 km height region, there are too few intercomparisons to reach a general statistical conclusion on the validity of the winds.  .

In the 60 80 km height region, there are too few intercomparisons to reach a general statistical conclusion on the validity of the winds.

Some relevant potential threats to the statistical conclusion validity of our study could be: low statistical power, unreliability of measures and unreliability of treatment implementation [ 24].

We focused on internal, external, construct and statistical conclusion validity of 241 studies using data collected from Asia, Europe and North America.

Regarding statistical conclusion validity of quantitative articles, articles having endogeneity threats received significantly fewer citations than did those using a more robust design or an estimation procedure that ensured correct causal estimation.

We do this by undertaking a content analysis of 241 studies between 1995 and 2014 using samples from Asia, Europe and North America.1 We begin by presenting our research methodology before examining the internal, external, construct and statistical conclusion validity of studies using data collected from these regions.

More important, we came across at least one unsupported statistical conclusion in 39 of the 257 articles (15%) that we scrutinized in our two studies.

The classic definition of statistical conclusion validity that is an essential design component for research investigations is given by Cook and Campbell (1979: 37) as the truthfulness of "conclusions about covariation" between treatment and outcome – that is, the degree of accuracy with which researchers can conclude that two variables are related or that a treatment is effective.

In terms of statistical conclusion validity, studies in Asia drew on smaller sample sizes than those conducted in Europe or North America, although, as noted above, had higher response rates.