mental_health_wang_2024_gad
6,706 responses from 958 respondents to 7 items.
About this table
| Description | Chinese College Adolescents Depression and Anxiety under COVID-19 |
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| Reference | Wang, Haiyan, 2024, "Chinese College Adolescents Depression and Anxiety under COVID-19", https://doi.org/10.7910/DVN/T5TAQA, Harvard Dataverse, V2 |
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| Licence | CC0 1.0 |
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| Source data | https://doi.org/10.7910/DVN/T5TAQA |
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Size and shape
| Responses | 6,706 |
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| Respondents | 958 |
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| Items | 7 |
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| Response categories | 4 |
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| Responses per respondent | 7 |
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| Responses per item | 958 |
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| Density | 1 |
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| Longitudinal | TRUE |
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Classification
| age range | Adult (18+) |
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| sample | Targeted/specific |
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| construct type | Affective/mental health |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | chi |
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| construct name | Impact of COVID-19 - Depression |
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Columns
cov_anxiety_compared_w_pre_covidcov_covid_confirmedcov_delivery_service_interruptioncov_ease_anxiety_meditationcov_ease_anxiety_musiccov_ease_anxiety_othercov_ease_anxiety_school_counselingcov_ease_anxiety_sportscov_ease_anxiety_ways_effectivensscov_ease_anxiety_weepingcov_financial_hardshipcov_flight_train_delay_cancellationcov_gendercov_info_health_providercov_info_medical_web_sitescov_info_newscov_info_notice_from_schoolcov_info_other_channelscov_info_social_mediacov_location_encov_lock_downcov_medical_service_interruptioncov_other_interruptioncov_proactive_covid_info_seekcov_quarantine_pointcov_rumor_believedcov_school_service_expected_group_saloncov_school_service_expected_mental_health_coursecov_school_service_expected_othercov_school_service_expected_personal_counselingcov_school_service_expected_simulationcov_school_work_interruptioncov_separation_from_loved_onescov_symptom_induced_anxietycov_ways_to_ease_anxietydateiditemresprt
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mental_health_wang_2024_gad")
# Python
pip install irw
import irw
df = irw.fetch("mental_health_wang_2024_gad")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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