Sentence examples for using a median split from inspiring English sources
"using a median split" is correct and usable in written English
It is a statistical term commonly used to split a set of numbers or values into two equal groups. For example, you could use a median split to divide a group of test scores into two groups of high and low scores.
Following the data collection study, we classified the participants as novice or advanced using a median split on pre-test scores (median score was 13.50).
In order to determine the influence of physical fitness on match activities and post-match fatigue, players from both the high- and low-standard team were matched for position (forwards and backs) before being divided into low- and high-fitness groups, using a median split, based on Yo-Yo IRT performance.
To illustrate these patterns, we divided participants using a median split into groups of frequent manga readers while growing up (N = 14, mean frequency M = 6.57 out of 7) and infrequent manga readers (N = 14, M = 3.14) and depict this in Fig. 6.
Using a median split means calculating the median pre-test score for the participants and using this as the threshold for defining groups: a novice is a student with a pre-test score of 13.50 or less and an advanced student has a pre-test score greater than 13.50.
Using a median split based on the Chapman anhedonia scores, we divided our sample into two groups: low-anhedonia (LA) and high anhedonia (HA).
Identical response patterns emerged when semitone errors were not considered to be correct, and when we analyzed relatively good and poor performers separately (i.e., using a median split based on overall performance).
Similarly, a recursive sub-image histogram equalization (RSIHE) technique was offered [28], which splits the histogram using a median split-up method rather than the mean split-up one utilized by the RMSHE.
To illustrate this finding, we used a median split to divide participants into two groups: the more optimistic (n = 8) and the more pessimistic (n = 7), with pessimistic participants reporting significantly more pleasant relief (one-tailed t-test, p = 0.035).
We then used a median split to allocate participants to either a 'high familiarity' or a 'low familiarity' group (median = 43 occasions per year).
For example, in the current study, we had to use a median split, making it difficult to examine the relationship between numeracy scores and framing effects in depth.
In order to address this issue, we used a median split based on RTs in the fMRI analysis as measure of confidence for correct T2 identification.
