Oh No! They Cut My Funding! Using "Post Hoc" Planned Missing Data Designs to Salvage Longitudinal Research.
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| Title: | Oh No! They Cut My Funding! Using "Post Hoc" Planned Missing Data Designs to Salvage Longitudinal Research. |
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| Authors: | Feng, Yi (AUTHOR), Hancock, Gregory R. (AUTHOR) |
| Source: | Child Development. May/Jun2021, Vol. 92 Issue 3, p1199-1216. 18p. 4 Diagrams, 2 Charts, 3 Graphs. |
| Subjects: | Child development, Child development research, Research funding, Child psychology, Longitudinal method |
| Abstract: | Having one's funding cut in the course of conducting a longitudinal study has become an increasingly real challenge faced by developmental researchers. The main purpose of the current work is to propose "post hoc" planned missing (PHPM) data designs as a promising solution in such difficult situations. This study discusses general guidelines that can be followed to search for viable PHPM designs within a given budget restriction. Illustrative examples across different longitudinal research contexts are provided, each showing how PHPM data designs can help salvage longitudinal studies when an unexpected funding cut occurs mid‐study. With the illustrative examples, the article also shows how developmental researchers can conveniently identify viable designs using the R package simPM. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Having one's funding cut in the course of conducting a longitudinal study has become an increasingly real challenge faced by developmental researchers. The main purpose of the current work is to propose "post hoc" planned missing (PHPM) data designs as a promising solution in such difficult situations. This study discusses general guidelines that can be followed to search for viable PHPM designs within a given budget restriction. Illustrative examples across different longitudinal research contexts are provided, each showing how PHPM data designs can help salvage longitudinal studies when an unexpected funding cut occurs mid‐study. With the illustrative examples, the article also shows how developmental researchers can conveniently identify viable designs using the R package simPM. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00093920 |
| DOI: | 10.1111/cdev.13501 |
