Changes for page Progression Report
Last modified by karimpirani on 2014/07/11 17:12
From 12.3 to 12.2
Summary
Details
-
Page properties
-
- Content
-
... ... @@ -131,4 +131,4 @@ 131 131 132 132 I: **Analysis of data.** Below is a sample inquiry and mathematical model calculation of how to interpret your data. 133 133 134 -* Is the change in the percentage of assessments classified as “0&1” and “2&3” between two reasons for assessment significant? This is shown here using the McNemar’s statistical test (when the population that has changed bucket is greater than 25 individuals) or the Binomial test (if the population that has changed bucket is 24 or less). This is color coded in red and green to designate if the statistical significance test has been passed or has failed. Since both the McNemear’s and Binomial tests work on constant population between time one (T1) and time 2 (T2) (e.g. “Initial Assessment” to “Scheduled Update”) the tests use a subset of the population displayed in C. For example, when computing the significance of change between “Initial Assessment” and “Scheduled Update” the report considers all the clients with “Scheduled Update” assessments in the selected time frame and a corresponding “Initial Assessment”, even if the initial assessment is before the selected time frame. As explained in the footnote of the report, significance also shows the size of the population used to compute the test and the number of clients who improved or got worse. 134 +* (% style="font-size: 14px; background-color: rgb(245, 245, 245);" %)Is the change in the percentage of assessments classified as “0&1” and “2&3” between two reasons for assessment significant? This is shown here using the McNemar’s statistical test (when the population that has changed bucket is greater than 25 individuals) or the Binomial test (if the population that has changed bucket is 24 or less). This is color coded in red and green to designate if the statistical significance test has been passed or has failed. Since both the McNemear’s and Binomial tests work on constant population between time one (T1) and time 2 (T2) (e.g. “Initial Assessment” to “Scheduled Update”) the tests use a subset of the population displayed in C. For example, when computing the significance of change between “Initial Assessment” and “Scheduled Update” the report considers all the clients with “Scheduled Update” assessments in the selected time frame and a corresponding “Initial Assessment”, even if the initial assessment is before the selected time frame. As explained in the footnote of the report, significance also shows the size of the population used to compute the test and the number of clients who improved or got worse.