[78_1161_DF_DCCV_RUOLIGEN_20] What would suggest to a woman who suffered intimate partner violence – educational level
Updated on DBnomics on March 14, 2023 (6:42 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE] Indicator
- [P18_74_OPDOKN] people aged 18-74 years by opinions on what they would do if they knew a woman who suffered violence by her husband/partner (per 100 persons with the same characteristics)
[SEX] Sex
- [F] females
- [M] males
- [T] total
[AGE] Age
- [TOTAL] total
[EDU_LEV_HIGHEST] Highest level of education attained
- [ALL] total
- [CLF_ML] university diploma, bachelor’s degree, master’s degree, academy Conservatory old programme
- [LSE] diploma of lower secondary education
- [NP] no educational degree, final assessment (Primary school)
- [USE_IF] diploma of upper secondary education and Certification of higher technical specialisation
[LABPROF_STATUS_D_WOMAN] Labour and professional status of woman
- [ALL] all items
[STEREOT_GENDROLEPARTNER] Stereotypes about gender roles, behaviours regarding intimate partner
- [TOT] total
[DEGREE_AGREEMENT] Degree of agreement
- [TOT] total
[DEGREE_ACCEPTABILITY] Degree of acceptability
- [TOT] total
[HOW_COMMON] How common
- [ALL] all items
[POSSIBLE_CAUSES] Possible causes
- [ALL] all items
[ADVICE] Advice
- [ADVLEPA] I would advise her to leave her husband/partner
- [ANTVIOLCE] I would direct her to anti-violence centres helping women
- [CAL1522] I would tell her to call 1522 helpline
- [FILEREP] I would tell her to file a report
- [KNDOADV] I would not know what to do/advise
- [NOANSW] not answered
- [NOINTFAM] I would not offer advice because I don’t want to interfere in family issues
- [OTHSER] I would direct her to other services or professionals
- [TALKPAT] I would advise her to try talking with her husband/partner
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Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Indicator [DATA_TYPE] (1)
Sex [SEX] (3)
Age [AGE] (1)
Highest level of education attained [EDU_LEV_HIGHEST] (5)
Labour and professional status of woman [LABPROF_STATUS_D_WOMAN] (1)
Stereotypes about gender roles, behaviours regarding intimate partner [STEREOT_GENDROLEPARTNER] (1)
Degree of agreement [DEGREE_AGREEMENT] (1)
Degree of acceptability [DEGREE_ACCEPTABILITY] (1)
How common [HOW_COMMON] (1)
Possible causes [POSSIBLE_CAUSES] (1)
Advice [ADVICE] (9)
This dataset has 135 series:
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