Data · dataset · 2021
Questionnaire Data Collection(Analysis of online network questionnaire methods)
Listed in ScienceDB
In order to study the correlation between social avoidance and self-efficacy among college students.
Description
The research objects will be selected from the undergraduate students of the studied university in accordance with the sampling standards of demographic variables such as gender, grade and ethnicity. A total of 202 subjects will be selected.
For Social Avoidance, the Social Avoidance subscale in the Social Avoidance Scale (SADS) revised by Peng Chun zi, Fan Xiao ling and Li Luo chu was used to measure the individual's Social Avoidance level. The level of self-efficacy was measured using the General Self-efficacy Scale (GSES) compiled by clinical and health psychologist Ralf Schwarzer et al., freieUniversitat Berlin in 1981.Quota sampling was adopted in the study.
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The proportion of gender was 1:1, and the proportion of han nationality and minority nationality was 9:1. The proportion of freshman: sophomore: junior: senior was 1:3:3:3.The data set included answers to questions related to self-efficacy and social avoidance and summation. A "1" means "yes" and a "0" means "no".
The results show that there is a significant negative correlation between self-efficacy and social avoidance. Through this data set, we can analyze the attitudes of college students of different genders, nationalities and grades in social avoidance and self-efficacy, providing a basis for accurately understanding the behavior and psychology of college students.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.01308 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Sociology 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.01308 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4410 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |