Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://cran.rstudio.com/web/packages/Rcpp/../sparseDFM/../Rcpp/../dscore/readme/README.html below:

README

The D-score is a numerical score that measures generic development in children. Use the D-score to analyze and predict early development of children similar to measures like height and weight.

The dscore package contains tools to

• Map your item names to the GSED convention
• Calculate D-score from item level responses
• Transform the D-scores into DAZ, age-standardised Z-scores

The required input consists of item level responses on milestones from widely used instruments for measuring child development.

You can install the development version from GitHub with:

install.packages("remotes")
remotes::install_github("d-score/dscore")

You may estimate the D-score and the Development-for-Age Z-score (DAZ) from child data on developmental milestones. Four steps are needed:

1. Identify whether the dscore package covers your measurement instrument;
2. Map your variable names to the GSED 9-position schema;
3. Calculate D-score and DAZ;
4. Summarise your results.

The dscore package provides various function that support these steps. See Getting started for more details.

1. D-score: Turning milestones into measurement
2. Inventory of 147 instruments for measuring early child development: Fernald et al. (2017)

1. Project with dutch key, 0-2 years: van Buuren (2014)
2. Project with gcdg key: Weber et al. (2019)
3. Project with gsed keys: World Health Organization (WHO) (2023)

1. Interval scale: Jacobusse, van Buuren, and Verkerk (2006)
2. Adaptive testing: Jacobusse and van Buuren (2007)

If you want to calculate the D-score on your own data, and you’re not an R user, you might wish to check out our interactive Shiny dcalculator app.

The authors wish to recognize the principal investigators and their study team members for their generous contribution of the data that made this tool possible and the members of the Ki team who directly or indirectly contributed to the study: Amina Abubakar, Claudia R. Lindgren Alves, Orazio Attanasio, Maureen M. Black, Maria Caridad Araujo, Susan M. Chang-Lopez, Gary L. Darmstadt, Bernice M. Doove, Wafaie Fawzi, Lia C.H. Fernald, Günther Fink, Emanuela Galasso, Melissa Gladstone, Sally M. Grantham-McGregor, Cristina Gutierrez de Pineres, Pamela Jervis, Jena Derakhshani Hamadani, Charlotte Hanlon, Simone M. Karam, Gillian Lancaster, Betzy Lozoff, Gareth McCray, Jeffrey R Measelle, Girmay Medhin, Ana M. B. Menezes, Lauren Pisani, Helen Pitchik, Muneera Rasheed, Lisy Ratsifandrihamanana, Sarah Reynolds, Linda Richter, Marta Rubio-Codina, Norbert Schady, Limbika Sengani, Chris Sudfeld, Marcus Waldman, Susan P. Walker, Ann M. Weber and Aisha K. Yousafzai.

This study was supported by the Bill & Melinda Gates Foundation. The contents are the sole responsibility of the authors and may not necessarily represent the official views of the Bill & Melinda Gates Foundation or other agencies that may have supported the primary data studies used in the present study.

Jacobusse, G., and S. van Buuren. 2007. “Computerized Adaptive Testing for Measuring Development of Young Children.”

26 (13): 2629–38.

.

Jacobusse, G., S. van Buuren, and P. H. Verkerk. 2006. “An Interval Scale for Development of Children Aged 0-2 Years.”

25 (13): 2272–83.

.

van Buuren, S. 2014. “Growth Charts of Human Development.”

23 (4): 346–68.

.

Weber, A. M., M. Rubio-Codina, S. P. Walker, S. van Buuren, I. Eekhout, S. Grantham-McGregor, M. C. Araujo, et al. 2019. “The D-Score: A Metric for Interpreting the Early Development of Infants and Toddlers Across Global Settings.”

4: e001724.

.

World Health Organization (WHO). 2023. “Global Scales for Early Development (GSED) V1.0: Technical Report.” Geneva: World Health Organization.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4