Import and export your most crucial information at any time and back it up conveniently with Google Drive or Icloud. Communicate effectively and send personalized information to your students or their parents by e-mail with their grades, annotations or files.Take notes on relevant behavior or events by linking text or annotations, files ,images, record audio and video to a student or class record.Put down your student’s position (with photos) in class and visually access each student data with a few taps.

Keep track of attendance easily using our revolutionary Augmented Reality view.Precisely calculate GPA and display relevant student statistics with beautiful graphs. Quickly calculate grades based on the assignments, subjects, classes and categories you enter.iGrade is packed with customizable features and give you instant access to grades, notes, attendance, statistics and all the functionalities you need to take control of the information. Yet, assessing potential bias in indirect comparison is complex.Tired of scribbling notes on your old notepad and the hours spent after hours in the classroom in front of the school desktop?Įmpower yourself with probably the best iPad Gradebook there is. Again, in the presence of both direct and indirect evidence there is the need to consider potential publication bias in the indirect links as well as the direct links informing the same comparison. Qualitative assessment of publication bias difficult for indirect evidence. Very likely: GRADE publication bias category recorded as very likely for one or more links identified as informing the mixed-treatment meta-analysis estimate Likely: GRADE publication bias category recorded as likely for one or more links identified as informing the mixed-treatment meta-analysis estimate and none identified as very likely Unlikely: GRADE publication bias category recorded as unlikely for links identified as informing the mixed-treatment meta-analysis estimate Use GRADE limitations in design rating for direct links to assess the mixed-treatment meta-analysis estimates these links clearly contributed to: If there is very high probability of publication bias choose very likely If there is high probability of publication bias choose likely If you think there is no evidence of publication bias choose unlikely Very serious: judged to be very inadequate Thus, we merged these categories resulting in joint assessment of unexplained heterogeneity and/or assessment of inconsistency when possibleĭefine the type of data available for each mixed-treatment meta-analysis comparison as follows: However, in the context of a mixed-treatment meta-analysis in which indirect data are expected and which ideally add value, such an approach does not make sense. Furthermore, in GRADE the presence of indirectness is taken as a reason to downgrade evidence. Within mixed-treatment meta-analysis inconsistency has a meaning specific to agreement between direct and indirect data. Within GRADE the term ‘inconsistency’ is used to refer to unexplained heterogeneity.

If you have very serious doubts about directness choose very serious If you have serious doubts about directness choose serious If you think the evidence is direct choose no Very serious: large change in estimate and intervalsĭoes not address unexplained heterogeneity per se

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