Automated Organization Profile

Global Health Literacy Academy

Current S-Index

6.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

6

Total datasets in this organization

Average FAIR Score

60.9%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 1 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 1: Table S1. Overall fit statistics applying unidimensional and multidimensional Rasch models of HLS19-Q47 and its short versions.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions85% FAIR2.1 Dataset Index
10.6084/m9.figshare.22600760January 2023

Additional file 1 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 1: Table S1. Overall fit statistics applying unidimensional and multidimensional Rasch models of HLS19-Q47 and its short versions.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions85% FAIR2.1 Dataset Index
10.6084/m9.figshare.22600760.v1January 2023

Additional file 3 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 3: Table S3. Fit statistics for different factor structures applying confirmatory factor analyses of the HLS19-Q47.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.22600766January 2023

Additional file 3 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 3: Table S3. Fit statistics for different factor structures applying confirmatory factor analyses of the HLS19-Q47.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.22600766.v1January 2023

Additional file 4 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 4: Table S4. Item characteristics and DIF of HLS19-Q47 applying the 12-dimensional Rasch model.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.22600769January 2023

Additional file 4 of Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

Additional file 4: Table S4. Item characteristics and DIF of HLS19-Q47 applying the 12-dimensional Rasch model.

Authors

  • Le, Christopher ;
  • Guttersrud, Øystein ;
  • Sørensen, Kristine ;
  • Finbråten, Hanne Søberg
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.22600769.v1January 2023