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| Title | Optimizing Measurement Reliability in Within‑Person Research: Guidelines for Research Design and R Shiny Web Application Tools |
| Creator | 黃柏僩 Huang, Po-Hsien Yang, Liu-Qin;Wang, Wei;Nguyen, Anthony |
| Contributor | 心理系 |
| Key Words | Within-person research; Level-specific alpha; Reliability; R shiny web application; Validity |
| Date | 2022-03 |
| Date Issued | 23-Aug-2022 15:08:12 (UTC+8) |
| Summary | Within-person research has become increasingly popular over recent years in the field of organizational studies for its unique theoretical and methodological advantages for studying dynamic intrapersonal processes (e.g., Dalal et al., Journal of Management 40:1396–1436, 2014; McCormick et al., Journal of Management 46:321–350, 2020). Despite the advancements, there remain serious challenges for many organizational researchers to fully appreciate and appropriately implement within-person research—more specifically, to correctly conceptualize and compute the within-person measurement reliability, as well as navigate key within-person research design factors (e.g., number of measurement occasions, T; number of participants, N; and scale length, I) to optimize within-person reliability. By conducting a comprehensive Monte Carlo simulation with 3240 data conditions, we offer a practical guideline table showing the expected within-person reliability as a function of key design factors. In addition, we provide three easy-to-use, free R Shiny web applications for within-person researchers to conveniently (a) compute expected within-person reliability based on their customized research design, (b) compute observed validity based on the expected reliability and hypothesized within-person validity, and (c) compute observed within-person (as well as between-person) reliability from collected within-person research datasets. We hope these much-needed evidence-based guidelines and practical tools will help enhance within-person research in organizational studies. |
| Relation | Journal of Business and Psychology |
| Type | article |
| DOI | https://doi.org/10.1007/s10869-022-09803-5 |
| dc.contributor | 心理系 | |
| dc.creator (作者) | 黃柏僩 | |
| dc.creator (作者) | Huang, Po-Hsien | |
| dc.creator (作者) | Yang, Liu-Qin;Wang, Wei;Nguyen, Anthony | |
| dc.date (日期) | 2022-03 | |
| dc.date.accessioned | 23-Aug-2022 15:08:12 (UTC+8) | - |
| dc.date.available | 23-Aug-2022 15:08:12 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-Aug-2022 15:08:12 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/141497 | - |
| dc.description.abstract (摘要) | Within-person research has become increasingly popular over recent years in the field of organizational studies for its unique theoretical and methodological advantages for studying dynamic intrapersonal processes (e.g., Dalal et al., Journal of Management 40:1396–1436, 2014; McCormick et al., Journal of Management 46:321–350, 2020). Despite the advancements, there remain serious challenges for many organizational researchers to fully appreciate and appropriately implement within-person research—more specifically, to correctly conceptualize and compute the within-person measurement reliability, as well as navigate key within-person research design factors (e.g., number of measurement occasions, T; number of participants, N; and scale length, I) to optimize within-person reliability. By conducting a comprehensive Monte Carlo simulation with 3240 data conditions, we offer a practical guideline table showing the expected within-person reliability as a function of key design factors. In addition, we provide three easy-to-use, free R Shiny web applications for within-person researchers to conveniently (a) compute expected within-person reliability based on their customized research design, (b) compute observed validity based on the expected reliability and hypothesized within-person validity, and (c) compute observed within-person (as well as between-person) reliability from collected within-person research datasets. We hope these much-needed evidence-based guidelines and practical tools will help enhance within-person research in organizational studies. | |
| dc.format.extent | 106 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Journal of Business and Psychology | |
| dc.subject (關鍵詞) | Within-person research; Level-specific alpha; Reliability; R shiny web application; Validity | |
| dc.title (題名) | Optimizing Measurement Reliability in Within‑Person Research: Guidelines for Research Design and R Shiny Web Application Tools | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1007/s10869-022-09803-5 | |
| dc.doi.uri (DOI) | https://doi.org/10.1007/s10869-022-09803-5 |