Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety
Here we present cross-sectional data collected from 1507 participants through the Qualtrics online survey platform. Participants were recruited from Reddit, Facebook, and the Queen's University undergraduate participant pool, and were instructed to complete a pandemic stress survey, the Beck De...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922010678 |
| _version_ | 1828048261635637248 |
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| author | Mianzhi Hu Scott D. Squires Roumen V. Milev Jordan Poppenk |
| author_facet | Mianzhi Hu Scott D. Squires Roumen V. Milev Jordan Poppenk |
| author_sort | Mianzhi Hu |
| collection | DOAJ |
| description | Here we present cross-sectional data collected from 1507 participants through the Qualtrics online survey platform. Participants were recruited from Reddit, Facebook, and the Queen's University undergraduate participant pool, and were instructed to complete a pandemic stress survey, the Beck Depression Inventory-II (BDI-II) [1], the Beck Anxiety Inventory (BAI) [2], a modified version of Event-Related Rumination Inventory (ERRI) [3], and a demographics questionnaire. For the 1069 participants who were not exposed to COVID-19 infection, we calculated the sum of each scale/subscale and performed a multiple mediation analysis using MPlus. The results indicated that three models (one primary model and two alternative models) had comparable statistical power to explain the variance as we tested different configurations of predictor, mediator, and outcome variables. Given the cross-sectional nature of the present study, we could not conclude which model was most valid. Therefore, we share our original data and tested models here for others to use. They are useful for researchers who wish to replicate our results, conduct new analyses with these data, or design future studies. |
| first_indexed | 2024-04-10T18:54:44Z |
| format | Article |
| id | doaj.art-77b4c4bc61a0421fa1383eae5948d3b3 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-10T18:54:44Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-77b4c4bc61a0421fa1383eae5948d3b32023-02-01T04:26:35ZengElsevierData in Brief2352-34092023-02-0146108864Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxietyMianzhi Hu0Scott D. Squires1Roumen V. Milev2Jordan Poppenk3Department of Psychology, Queen's University, Kingston, Ontario, CanadaCentre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; Corresponding author.Department of Psychology, Queen's University, Kingston, Ontario, Canada; Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; Department of Psychiatry, Queen's University, Kingston, Ontario, CanadaDepartment of Psychology, Queen's University, Kingston, Ontario, Canada; Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; School of Computing, Queen's University, Kingston, Ontario, CanadaHere we present cross-sectional data collected from 1507 participants through the Qualtrics online survey platform. Participants were recruited from Reddit, Facebook, and the Queen's University undergraduate participant pool, and were instructed to complete a pandemic stress survey, the Beck Depression Inventory-II (BDI-II) [1], the Beck Anxiety Inventory (BAI) [2], a modified version of Event-Related Rumination Inventory (ERRI) [3], and a demographics questionnaire. For the 1069 participants who were not exposed to COVID-19 infection, we calculated the sum of each scale/subscale and performed a multiple mediation analysis using MPlus. The results indicated that three models (one primary model and two alternative models) had comparable statistical power to explain the variance as we tested different configurations of predictor, mediator, and outcome variables. Given the cross-sectional nature of the present study, we could not conclude which model was most valid. Therefore, we share our original data and tested models here for others to use. They are useful for researchers who wish to replicate our results, conduct new analyses with these data, or design future studies.http://www.sciencedirect.com/science/article/pii/S2352340922010678Deliberate ruminationIntrusive ruminationCOVID-19 pandemicStressDepressionAnxiety |
| spellingShingle | Mianzhi Hu Scott D. Squires Roumen V. Milev Jordan Poppenk Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety Data in Brief Deliberate rumination Intrusive rumination COVID-19 pandemic Stress Depression Anxiety |
| title | Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety |
| title_full | Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety |
| title_fullStr | Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety |
| title_full_unstemmed | Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety |
| title_short | Data and alternative models describing the associations among non-infection pandemic stress, event-related rumination, depression, and anxiety |
| title_sort | data and alternative models describing the associations among non infection pandemic stress event related rumination depression and anxiety |
| topic | Deliberate rumination Intrusive rumination COVID-19 pandemic Stress Depression Anxiety |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922010678 |
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