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impact_evaluation

Impact Evaluation of an Intimate-Partner Violence Prevention Program in Rwanda – 2017-2019
Baseline and Follow-up

Rwanda, 2017 - 2019
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Reference ID
RWA_2017-2019_IPVIE_v01_M
Producer(s)
Claire Cullen, Arthur Alik-Lagrange, Muthoni Ngatia, Julia Vaillant
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
May 19, 2025
Last modified
May 19, 2025
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19050
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Data file: indash_bl_el_anon

Household Survey (indash_bl_el_anon.dta) contains data from the baseline and the endline surveys, for both women and men

Cases: 2735
Variables: 2117

Variables

stress_irritations_m
Number of times respondent was able to control irritations in past month
stress_anger_m
Number of times respondent felt angry because he was not in control in past mont
cc1_pleasure_m
cc1 Over the past 2 weeks, I had little interest or pleasure in doing things
cc2_down_m
cc2 Over the past 2 weeks, I felt down, depressed or hopeless
cc3_sleep_m
cc3 Over the past 2 weeks, I had trouble falling asleep, staying asleep, or slee
cc4_energy_m
cc4 Over the past 2 weeks, I felt tired or had little energy
cc5_appetite_m
cc5 Over the past 2 weeks, I had a poor appetite OR I overate
cc6_failure_m
cc6 Over the past 2 weeks, I felt bad about myself - or that I'm a failure or ha
cc7_concentrate_m
cc7 Over the past 2 weeks, I had trouble concentrating on things
cc8_movement_dep_m
cc8 Over the past 2 weeks, I experienced moving or speaking so slowly that other
cc9_hurt_self_m
cc9 Over the past 2 weeks, I had thoughts that I would be better off dead or of
anger_upset_m
Respondent can calm himself when agre
anger_beginning_m
Respondent can tell when he begins to get angry
anger_temper_m
Respondent can tell when about to lose his temper
anger_thinking_m
Respondent can tell when he loses his temper
anger_calm_down_m
Respondent can calm himself down when angry
q1_beating_neglect_children_m
q1 Husnamd justified in hitting wife if she neglects children
q2_beating_refusing_sex_m
q2 Husband justified in hitting wife if she refuses to have sex with him
q3_beating_disobey_m
q3 Husband justified in hitting wife if she burns the food
q4_beating_burn_food_m
q4 Husband justified in hitting wife if she disobeys him
q5_beating_suspect_unfaithful_m
q5 Husband justified in hitting wife if he thinks she is unfaithful
r1_refuse_know_unfaithful_m
r1 Wife justified in refusing sex with husband if he has sex with another woman
r2_refuse_drunk_m
r2 Wife justified in refusing sex with husband if he is drunk
r3_refuse_mistreatment_m
r3 Wife justified in refusing sex with husban if he mistreats her
s1_disrespect_m
s1_Likelihood to beat wife if she is disrespectful
s2_threat_leaving_m
s2_Likelihood to beat wife if she threatens to leave
s3_cheating_m
s3_Likelihood to beat wife if respondent catches her cheating on him
s4_flirting_m
s4_Likelihood to beat wife if she spends a lot of time with male friend
s5_spend_money_m
s5_Likelihood to beat wife if she spends money without discussing
s6_mock_m
s6_Likelihood to beat wife if she mocks respondent
s7_control_m
s7_Likelihood to beat wife if she tries to control respondent
s8_interrupt_m
s8_Likelihood to beat wife if she interupts respondent
s9_impt_decision_m
s9_Likelihood to beat wife if she makes impt. decision without discussing
s10_leaving_m
s10_Likelihood to beat wife if she tries to leave
t1_intim_disrespect_m
t1_Likelihood to be intimidating if wife is disrespectful
t2_intim_threat_leaving_m
t2_Likelihood to be intimidating if wife threatens to leave
t3_intim_flirting_m
t3_Likelihood to be intimidating if wife is flirting with someone
t4_intim_ridicule_m
t4_Likelihood to be intimidating if wife mocks respondent
t5_intim_impt_decision_m
t5_Likelihood to be intimidating if wife makes important decision without discus
u2_ptnr_violent_freq_m
u2_Number of times partner has beaten respondent in past 6 months
u4_ptnr_emot_abused_freq_m
u4_Number of times partner has emotionally abused_Partner in past 6 months
v1_alcohol_freq_m
v1_Frequency of drinking alcohol
v2_alcohol_excess_m
v2_Frequency of drinking too much alcohol
w3_acasi1_assist_acasi_m
w3 Enumerator assisted with ACASI
drinking_m
Alcohol consumption in past month
alcohol_daily_m
Number of times respondent had one drink in past month
k1_ftr_son_occptn_farming_m
Desired future occupations for sons
k1_ftr_son_occptn_business_m
Desired future occupations for sons
k1_ftr_son_occptn_professional_m
Desired future occupations for sons
k1_ftr_son_occptn_army_m
Desired future occupations for sons
k1_ftr_son_occptn_govt_m
Desired future occupations for sons
k1_ftr_son_occptn_private_m
Desired future occupations for sons
k1_ftr_son_occptn_nowork_m
Desired future occupations for sons
k1_ftr_son_occptn_other_m
Desired future occupations for sons
k1_ftr_son_occptn_NA_m
Desired future occupations for sons
k1_ftr_son_occptn_refuse_m
Desired future occupations for sons
k3_ftr_dghtr_occptn_farming_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_business_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_prof_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_army_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_govt_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_private_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_nowork_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_other_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_NA_m
Desired future occupations for daughters
k3_ftr_dghtr_occptn_refuse_m
Desired future occupations for daughters
k5_shame_husband_hhwork_m
k5 Shameful for women if husband does domestic work
k6_obey_husband_m
k6 Woman should obey her husband
k7_woman_control_man_m
k7 Woman will control man if she provides resources for hh
k8_ipv_private_m
k8 Violence between partners is a private matter
dd2_cmty_obey_husband_m
dd2 Portion of men who think wife should obey husband
dd5_cmnty_jealousy_m
dd5 Portion of men who get jealous when wife speaks with other men
dd6_cmty_prohibit_visits_m
dd6 Portion of men who limit wife's contact with family
dd7_cmty_beat_wife_m
dd7 Portion of men who kick/drag/beat up wife
dd8_cmty_force_sex_m
dd8 Portion of men who physically force wife to have sex with them
knowledge_ipv_m
Frequency of physical violence in village in past 6 months
knowledge_ipv_women_m
Frequency of physical violence against women in village in past 6 months
divorce_likelihood_m
Likelihood of divorce in respondent's neighborhood
ipv_season_1_m
end of year / festive season
ipv_season_2_m
harvest in June/July/August
ipv_season_3_m
harvest in Nov/December
ipv_season_4_m
same all year
ipv_season_5_m
Whenever people get more money
ipv_season_6_m
When a husband’s salary comes in
ipv_season_7_m
planting
ipv_season_8_m
post harvest
ipv_season_9_m
it doesn't change over the year
ipv_season_96_m
Other
ipv_season__99_m
Don't know
bb1_contraception_use_m
bb1 Contraception use
ii1_ipv_seen_situations_1_m
ii1_ipv_seen_situations_radio
ii1_ipv_seen_situations_2_m
ii1_ipv_seen_situations_theatre
ii1_ipv_seen_situations_3_m
ii1_ipv_seen_situations_religious service
ii1_ipv_seen_situations_4_m
ii1_ipv_seen_situations_community meeting
ii1_ipv_seen_situations_5_m
ii1_ipv_seen_situations_friends or neighbors
ii1_ipv_seen_situations_6_m
ii1_ipv_seen_situations_community activist
ii1_ipv_seen_situations_7_m
ii1_ipv_seen_situations_government official
ii1_ipv_seen_situations_8_m
ii1_ipv_seen_situations_village leaders
ii1_ipv_seen_situations__99_m
ii1_ipv_seen_situations_none of the above
ii2_ptcp_aware_rally_m
ii2 Ever participated in rally related to family violence
beliefs_about_self_m
Respondent's attitude towards gender norms
norms_assignment_m
shame_chores_men_m
Portion of men in neighborhood who think it is shameful for wife if husband does
ipv_private_men_m
Portion of men in neighborhood who think IPV is a private matter
treatment_shame_men_m
-
treatment_ipv_men_m
-
treatment_ipv_men2_m
-
shame_chores_businessmen_m
Portion of male businessmen in neighborhood who think it is shameful for wife if
ipv_private_businessmen_m
Portion of male businessmen in neighborhood who think IPV is a private matter
treatment_shame_businessman_m
-
treatment_ipv_businessman_m
-
shame_chores_leaders_m
Portion of male village leaders in neighborhood who think it is shameful for wif
ipv_private_leaders_m
Portion of male village leaders in neighborhood who think IPV is a private matte
treatment_shame_leader_m
-
treatment_ipv_leader_m
-
agree_neighbors_m
To what extent would you agree with the neighbours?
agree_village_m
How likely is it that most other people in this village agree with them?
intervention_improvement_m
Should people intervene in ipv or wait for the situation to improve on its own?
ipv_action_m
What action do you take in case of IPV
ipv_report_m
Report IPV
ipv_report_2_m
Report IPV
women_role_m
The most important role of a woman is to take care of her home and cook for her
mothers_duties_m
Bathing and feeding of children are mother’s duties.
equal_share_chores_m
Men and women should share household chores.
tolerate_ipv_m
A woman should tolerate violence to keep her family together
deserve_beating_m
There are situations in which a woman deserves to be beaten
aa6_job_loss_m
aa6 Household member lost job in past 6 months
aa7_adult_sickness_m
aa7 Household member faced sickness in past 6 months
aa8_assets_lost_m
aa8 Household lost significant portion of assets in past 6 months
jj1_ip_rape_legal_m
jj1 Legal for husband to force wife to have sex
jj2_parliament_woman_quota_m
jj2 Gender quota for parliament
jj4_legal_hh_head_m
jj4 Head of houshold under Rwandan law
vsla_friendship_m
Relationship with other VSLA couples
overall_happiness_m
Respodent's Happiness
sn_consent_contact_m
onsent to contact social networks
learning_session_m
Sessions respondent learnt the most from
learning_session_1_m
Sessions respondent learnt the most from
learning_session_2_m
Sessions respondent learnt the most from
learning_session_3_m
Sessions respondent learnt the most from
learning_session_4_m
Sessions respondent learnt the most from
learning_session_5_m
Sessions respondent learnt the most from
learning_session_6_m
Sessions respondent learnt the most from
learning_session_7_m
Sessions respondent learnt the most from
learning_session_8_m
Sessions respondent learnt the most from
learning_session_9_m
Sessions respondent learnt the most from
learning_session_10_m
Sessions respondent learnt the most from
learning_session_11_m
Sessions respondent learnt the most from
learning_session_12_m
Sessions respondent learnt the most from
learning_session_13_m
Sessions respondent learnt the most from
learning_session_14_m
Sessions respondent learnt the most from
learning_session_15_m
Sessions respondent learnt the most from
learning_session_16_m
Sessions respondent learnt the most from
learning_session_17_m
Sessions respondent learnt the most from
learning_session_18_m
Sessions respondent learnt the most from
learning_session_19_m
Sessions respondent learnt the most from
learning_session_20_m
Sessions respondent learnt the most from
learning_session_21_m
Sessions respondent learnt the most from
learning_session_22_m
Sessions respondent learnt the most from
learning_session_23_m
Sessions respondent learnt the most from
learning_session__93_m
Sessions respondent learnt the most from
training_stipend_m
Training stipend usage
training_stpd_transport_m
Training stipend usage
training_stpd_saved_m
Training stipend usage
training_stpd_loaned_m
Training stipend usage
training_stpd_gave_m
Training stipend usage
training_stpd_spouse_m
Training stipend usage
training_stpd_debt_m
Training stipend usage
training_stpd_assets_m
Training stipend usage
training_stpd_house_m
Training stipend usage
training_stpd_livestock_m
Training stipend usage
training_stpd_bicycle_m
Training stipend usage
training_stpd_other_m
Training stipend usage
travel_cost_m
Travel cost to training venue
beneficiaries_knowledge_m
Knowledge of beneficiaries
beneficiaries_talk_m
Number of beneficiaries known by Respondent
training_knowledge_m
Knowledge of training content
training_money_m
Respondent given training stipend
safe_space_visit_m
Women's Safe space visit
mm1_imm_consent_given_m
mm1 Agreed to continue to IMM
nn1_imm1_imm_q1_m
nn1 Partner in modules
nn2_imm2_imm_q2_m
nn2 People informed about module decisions
nn3_imm3_imm_q3_m
nn3 Enumerator will tell gov or NGO official about module choices?
nn4_imm4_imm_q4_m
nn4 Anyone can figure out decisions of modules?
oo1_sdm1_sdm_q1_m
oo1 Bottle cap worth (700 RWF)
oo2_sdm2_sdm_q2_m
oo2 Bottle cap worth (1050 RWF)
oo3_sdm3_sdm_q3_m
oo3 Partner for module
oo6_sdm6_sdm_q6_m
oo6 Spouse will know of decisions
oo7_sdm7_tokens_give_m
oo7 Tokens given
oo8_sdm8_tokens_keep_m
oo8 Tokens kept
token_given_m
Respondents best guess of token received at baseline
talk_about_games_m
Respondent and partner talked about games
talk_about_sdm_m
Respondent and partner talked about games
spouse_tokens_m
How much did your partner tell you that they gave you in the 10 token Secret Spo
actual_spouse_tokens_m
How much do you think your partner actually gave you in the 10 token Secret Spou
sdm_money_spent_m
Did you and your partner_title talk about how to spend the money?
money_given_m
How much of the money did you give to your partner?
quarrel_abt_money_m
Did you and your partner quarrel about the cash ?
duration_survey_end_m
Survey duration end
rr1_meta1_distress_m
rr1 Signs of distress
rr1_meta4_acasi_method_m
rr1 How did respondent answer ACASI questions?
rr3_meta5_counsellor_referal_m
rr3 Respondent referred to counsellor
rr4_meta6_spoke_counsellor_m
rr4 Respondent went to counsellor
duration_survey_m
Survey duration
rr6_gpslatitude_m
GPS Coordinates (latitude)
rr6_gpslongitude_m
GPS Coordinates (longitude)
rr6_gpsaltitude_m
GPS Coordinates (altitude)
rr6_gpsaccuracy_m
GPS Coordinates (accuracy)
emp_none_public_phone_m
There is no other household member
emp_hh_female_food_m
Other household member-female
emp_hh_male_sell_livestock_m
Other household member-male
emp_spouse_transport_m
Spouse
emp_hh_male_transport_m
Other household member-male
emp_spouse_miller_m
Spouse
emp_spouse_carpentry_m
Spouse
emp_hh_male_blacksmith_m
Other household member-male
emp_none_hairdresser_m
There is no other household member
emp_hh_male_fish_seller_m
Other household member-male
emp_hh_male_bicycle_repair_m
Other household member-male
profit_beauty_products_m
Profit in past month
decision_beauty_products_m
Main decision maker
emp_spouse_beauty_products_m
Spouse
childcare_400_m
400 childcare_
childcare_430_m
430 childcare_
childcare_2200_m
2200 childcare_
childcare_2230_m
2230 childcare_
childcare_2300_m
2300 childcare_
childcare_2330_m
2330 childcare_
childcare_2400_m
2400 childcare_
childcare_2430_m
2430 childcare_
childcare_2500_m
2500 childcare_
childcare_2530_m
2530 childcare_
childcare_2600_m
2600 childcare_
childcare_2630_m
2630 childcare_
childcare_2700_m
2700 childcare_
childcare_2730_m
2730 childcare_
treatment_shame_businessman2_m
-
treatment_ipv_businessman2_m
-
treatment_shame_leader2_m
-
treatment_ipv_leader2_m
-
livestock_owned_oth_m
Number of other livestock owned over last 12 months
emp_hh_female_bar_m
Other household member-female
emp_spouse_blacksmith_m
Spouse
emp_hh_male_charcoal_m
Other household member-male
profit_agriculture_m
Profit in past month
decision_agriculture_m
Main decision maker
emp_spouse_agriculture_m
Spouse
emp_hh_male_agriculture_m
Other household member-male
profit_crafts_m
Profit in past month
decision_crafts_m
Main decision maker
emp_none_crafts_m
There is no other household member
business_meat_seller_m
business_meat_seller
profit_meat_seller_m
Profit in past month
decision_meat_seller_m
Main decision maker
emp_spouse_meat_seller_m
Spouse
emp_none_meat_seller_m
There is no other household member
savings_shared_m
Number of people savings are shared with
treatment_shame_men2_m
-
livestock_name_other_1_m
livestock_name_other_1
livestock_joint_other_1_m
livestock_joint_other_1
livestock_own_other_1_m
livestock_own_other_1
livestock_name_other_2_m
livestock_name_other_2
livestock_joint_other_2_m
livestock_joint_other_2
livestock_own_other_2_m
livestock_own_other_2
livestock_name_other_3_m
livestock_name_other_3
livestock_name_other_4_m
livestock_name_other_4
livestock_name_other_5_m
livestock_name_other_5
livestock_name_other_6_m
livestock_name_other_6
livestock_name_other_7_m
livestock_name_other_7
livestock_name_other_8_m
livestock_name_other_8
livestock_joint_other_3_m
livestock_joint_other_3
livestock_own_other_3_m
livestock_own_other_3
livestock_joint_other_4_m
livestock_joint_other_4
livestock_own_other_4_m
livestock_own_other_4
livestock_joint_other_5_m
livestock_joint_other_5
livestock_own_other_5_m
livestock_own_other_5
livestock_joint_other_6_m
livestock_joint_other_6
livestock_own_other_6_m
livestock_own_other_6
livestock_joint_other_7_m
livestock_joint_other_7
livestock_own_other_7_m
livestock_own_other_7
livestock_joint_other_8_m
livestock_joint_other_8
livestock_own_other_8_m
livestock_own_other_8
business_name_oth_2_m
2 business_name_oth
business_name_oth_3_m
3 business_name_oth
profit_oth_2_m
Profit of other business
profit_oth_3_m
Profit of other business
decision_oth_2_m
Main decision maker in other business
decision_oth_3_m
Main decision maker in other business
emp_oth_spouse_2_m
Spouse
emp_oth_spouse_3_m
Spouse
emp_oth_hh_male_2_m
Other household member-male
emp_oth_hh_male_3_m
Other household member-male
emp_oth_hh_female_2_m
Other household member-female
emp_oth_hh_female_3_m
Other household member-female
emp_oth_none_2_m
There is no other household member
emp_oth_none_3_m
There is no other household member
today_m_el
survey date endline
submissiondate_m_el
key_m
Unique submission ID
interview_endline_m
no_endline_reason_m
Total: 2117
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