From d76d8fe04c615a1c93fe4a46bf57315055c476c6 Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:52:28 +0200 Subject: [PATCH 1/6] Create README.md --- Indicators/gender-CC-3-4/README.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 Indicators/gender-CC-3-4/README.md diff --git a/Indicators/gender-CC-3-4/README.md b/Indicators/gender-CC-3-4/README.md new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/Indicators/gender-CC-3-4/README.md @@ -0,0 +1 @@ + From 60a0c23064d9799fccb371a47a3f0d89b86f3ba5 Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:52:53 +0200 Subject: [PATCH 2/6] Add files via upload --- .../gender-CC-3-4/CC.3.4 SPSS Syntax.sps | 356 ++++++++++++++++++ 1 file changed, 356 insertions(+) create mode 100644 Indicators/gender-CC-3-4/CC.3.4 SPSS Syntax.sps diff --git a/Indicators/gender-CC-3-4/CC.3.4 SPSS Syntax.sps b/Indicators/gender-CC-3-4/CC.3.4 SPSS Syntax.sps new file mode 100644 index 0000000..5b72012 --- /dev/null +++ b/Indicators/gender-CC-3-4/CC.3.4 SPSS Syntax.sps @@ -0,0 +1,356 @@ +* Encoding: UTF-8. +*Variables Labels and Coding. +*ENUgenEntity Variable. +VARIABLE LABELS +ENUGenEntityYN "Does a WFP food assistance decision-making entity exist, and are one or more members present at the site? ". +VARIABLE LABELS +RGenEntityYN "Are you a member of, or do you participate in one or more of the following entities? Food distribution related entity, nutrition-related entity, farmer group or related, school feeding related entity, climate change or disaster risk reduction related entity or any other entity". + +VALUE LABELS +ENUGenEntityYN RGenEntityYN 0 "No" 1 "Yes". +EXECUTE. + +*RGenEntityYN Variable. + +VALUE LABELS +RGenEntityYN 0 "No" 1 "Yes". +EXECUTE. + + + +* Define binary variables for each entity type. +COMPUTE Entity_FoodDist = (RGenEntityType = 1). +COMPUTE Entity_Nutrition = (RGenEntityType = 2). +COMPUTE Entity_FarmerGroup = (RGenEntityType = 3). +COMPUTE Entity_SchoolFeeding = (RGenEntityType = 4). +COMPUTE Entity_ClimateChange = (RGenEntityType = 5). +COMPUTE Entity_Other = (RGenEntityType = 999). +EXECUTE. + +* Label the new variables. +VARIABLE LABELS Entity_FoodDist "Food distribution related entity". +VARIABLE LABELS Entity_Nutrition "Nutrition-related entity". +VARIABLE LABELS Entity_FarmerGroup "Farmer group or related". +VARIABLE LABELS Entity_SchoolFeeding "School feeding related entity". +VARIABLE LABELS Entity_ClimateChange "Climate change or disaster risk reduction related entity". +VARIABLE LABELS Entity_Other "Other (Specify)". +EXECUTE. + +* Assign value labels. +VALUE LABELS Entity_FoodDist Entity_Nutrition Entity_FarmerGroup Entity_SchoolFeeding Entity_ClimateChange Entity_Other + 0 "No" + 1 "Yes". +EXECUTE. + +*Other entity. +VARIABLE LABELS +RGenEntityType_oth "Other (Specify)". +EXECUTE. + +*Sex of the respondent. +VARIABLE LABELS +RESPSex "Sex of the Respondent". +VALUE LABELS +RESPSex 0 "Female" 1 "Male". +EXECUTE. + +*Age of the respondent. +VARIABLE LABELS +RESPAge "What is your age in years?". +EXECUTE. + +*Disability questions. +*Seeing. +VARIABLE LABELS +RDisabSee "Do you have difficulty seeing, even if wearing glasses?". +*Hearing. +VARIABLE LABELS +RDisabHear "Do you have difficulty hearing, even if using a hearing aid(s)?". +*Walking. +VARIABLE LABELS +RDisabWalk "Do you have difficulty walking or climbing steps?". +*Remember. +VARIABLE LABELS +RDisabRemember "Do you have difficulty remembering or concentrating?". +*Understanding. +VARIABLE LABELS +RDisabUnderstand "Using your usual language, do you have difficulty communicating, for example understanding or being understood?". +*Wash. +VARIABLE LABELS +RDisabWash "Do you have difficulty with self-care, such as washing all over or dressing?". + + +VALUE LABELS +RDisabSee RDisabHear RDisabWalk RDisabRemember RDisabUnderstand RDisabWash 1 "No difficulty"2 "Some difficulty" 3 "A lot of difficulty" 4 "Cannot do at all" 888 "Don’t know" 999 "Refuse". +EXECUTE. + + + +*When was the last time you participated in the entity?. +VARIABLE LABELS +RGenEntityDate "When was the last time you participated in the entity?". +VALUE LABELS +RGenEntityDate 1 "Less than a week" 2 "Less than a month" 3 "Between one and three months" 4 "More than three months" 888 "Don’t know" 999 "Refuse". +EXECUTE. + + +**Meaningful Participation Questions. +*Participation info. +VARIABLE LABELS +RGenEntityInf "The last time you participated in the entity, were you informed about an intervention's update, your rights, responsibilities, or options (related to the entity´s mandate, project ongoing or about to start…)?". +*Consulted through the meeting. +VARIABLE LABELS +RGenEntityCon "The last time you participated in the entity, were you consulted through meetings or other means (interviews, surveys…) about a new initiative, a challenge, or a new plan?". +*were you asked to put your opinion. +VARIABLE LABELS +RGenEntityPla "The last time you participated in the entity, were you informed and consulted but your opinion was not reflected in final decisions?". +*were you able to negotiate?. +VARIABLE LABELS +RGenEntityNeg "The last time you participated in the entity, could you negotiate with the decision makers on decisions that would affect you?". +*The last time you participated in the entity, did decision makers negotiate with you to ensure viability of a project, intervention or to address an important issue?. +VARIABLE LABELS +RGenEntityDel "The last time you participated in the entity, did decision makers negotiate with you to ensure viability of a project, intervention or to address an important issue?". +*were you a decision maker?. +VARIABLE LABELS +RGenEntityDM "The last time you participated in the entity, were you a decision-maker?". +VALUE LABELS +RGenEntityInf RGenEntityCon RGenEntityPla RGenEntityNeg RGenEntityDel RGenEntityDM 1 "Yes" 2 "No". +EXECUTE. + + +**--------------------------------------------------------------------------------------------------------------------------------------------------------** +* Create the variable CC.3.4: Meaningful participation in WFP-supported entities at the community level* +**--------------------------------------------------------------------------------------------------------------------------------------------------------** +** make sure to apply pre-conditions of questions 1 and 2**. +** Filter for the Year K. +*====================================================================================* +***Proportion of women in decision-making entities who report a meaningful participation in year k +*====================================================================================* + * Step 1: Identify women reporting meaningful participation (G1). +COMPUTE G1 =(ENUGenEntityYN = 1 AND RGenEntityYN =1) AND ( RGenEntityNeg = 1 | RGenEntityDel = 1 | RGenEntityDM = 1) AND RESPSex = 0. +* Step 2: Identify women in decision-making entities (i). +COMPUTE i = (ENUGenEntityYN = 1 AND RGenEntityYN =1 AND RESPSex= 0). +EXECUTE. + +VARIABLE LABELS +G1 "Women reporting meaningful participation in decision making entities". +VARIABLE LABELS +i "Number of women who confirm they are members of or participants in decision-making entities". +EXECUTE. + +* Step 3: Count the number of cases where G1 = 1 and i = 1. +COUNT Sum_G1 = G1 (1). +COUNT Sum_i = i (1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G1 divided by Sum_i. +COMPUTE Proportion_Women_Meaningful_Participation = (Sum_G1 / Sum_i) * 100. +VALUE LABELS Proportion_Women_Meaningful_Participation 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +FREQUENCIES VARIABLES=Sum_G1 Sum_i Proportion_Women_Meaningful_Participation + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +*====================================================================================* +***Proportion of men in decision-making entities who report a meaningful participation in year k +*====================================================================================* + * Step 1: Identify men reporting meaningful participation (G2). +COMPUTE G2 = (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND ( RGenEntityNeg = 1 | RGenEntityDel = 1 | RGenEntityDM = 1) AND RESPSex = 1. +* Step 2: Identify men in decision-making entities (j). +COMPUTE j = (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND RESPSex= 1. +EXECUTE. + +VARIABLE LABELS +G2 "Men reporting meaningful participation in decision making entities". +VARIABLE LABELS +j "Number of men who confirm they are members of or participants in decision-making entities". +EXECUTE. + +* Step 3: Count the number of cases where G2 = 1 and j= 1. +COUNT Sum_G2 = G2 (1). +COUNT Sum_j = j (1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G2 divided by Sum_j. +COMPUTE Proportion_men_Meaningful_Participation = (Sum_G2 / Sum_j) * 100. +VALUE LABELS Proportion_men_Meaningful_Participation 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +FREQUENCIES VARIABLES=Sum_G2 Sum_j Proportion_men_Meaningful_Participation + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +**================Create a new variable for disabled people 1= has disability 0= does not have a disability======*. + +COMPUTE Disabled= (RDisabSee>= 3 | RDisabHear >= 3 | RDisabWalk>=3 | RDisabRemember>= 3 | RDisabUnderstand >= 3 | RDisabWash >= 3). +EXECUTE. +VALUE LABELS Disabled 1"has disability" 0 "does not have a disability". + + +*====================================================================================* +***Proportion of women living with disabilities in decision-making entities who report a meaningful participation in year k +*====================================================================================* +**Identify women with disabilities reporting meaningful participation decision making entities*. +*=====================================================================================*. +*=====================================================================================*. + * Step 1: Identify disabled women reporting meaningful participation (G3). +COMPUTE G3= (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND Disabled=1 AND ( RGenEntityNeg = 1 | RGenEntityDel = 1 | RGenEntityDM = 1) AND RESPSex= 0. +EXECUTE. +*====================================================================================* +**Step 2: Identify women with disabilities who are members in decision making entities* +*=====================================================================================*. +COMPUTE m = (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND Disabled=1 AND RESPSex= 0. +EXECUTE. + +VARIABLE LABELS +G3 "Women living with disabilities reporting meaningful participation in decision-making entities". +VARIABLE LABELS +m "Number of women living with disabilities who confirm they are members of or participants in decision-making entities". + +* Step 3: Count the number of cases where G3= 1 and m = 1. +COUNT Sum_G3 = G3 (1). +COUNT Sum_m = m (1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G3 divided by Sum_m. +COMPUTE Proportion_Disabled_Women_Meaningful_Participation = (Sum_G3 / Sum_m) * 100. +VALUE LABELS Proportion_Disabled_Women_Meaningful_Participation 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +** to remove missing cases found when dividing by zero, use select IF first**. +*SELECT IF (NOT MISSING(Proportion_Disabled_Women_Meaningful_Participation)). + +FREQUENCIES VARIABLES=Sum_G3 Sum_m Proportion_Disabled_Women_Meaningful_Participation + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +* Another way of displaying the results but in a different dataset window, Aggregate data to sum G3 and m then calculate the indicator. + +AGGREGATE + /OUTFILE=* /* Keeps the aggregated data in the current dataset */ + /BREAK= /* Leave this blank if not grouping by any variables */ + /Sum_G3 = SUM(G3) + /Sum_m= SUM(m). +COMPUTE Proportion_Women_Disability_Meaningful_Participation = (Sum_G3 / Sum_m) * 100. +EXECUTE. + + +*====================================================================================* +***Proportion of men living with disabilities in decision-making entities who report a meaningful participation in year k +*====================================================================================* +** Step 1: Identify men with disabilities reporting meaningful participation decision making entities*. + +*=====================================================================================*. +COMPUTE G4= (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND Disabled=1 AND ( RGenEntityNeg = 1 | RGenEntityDel = 1 | RGenEntityDM = 1) AND RESPSex= 1. +EXECUTE. +*====================================================================================* +** Step 2: Identify men with disabilities who are members in decision making entities* +*=====================================================================================*. +COMPUTE p = (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND Disabled=1 AND RESPSex= 1. +EXECUTE. + +VARIABLE LABELS +G4 "Men living with disabilities reporting meaningful participation in decision-making entities". +VARIABLE LABELS +p "Number of men living with disabilities who confirm they are members of or participants in decision-making entities". + +* Step 3: Count the number of cases where G4= 1 and p = 1. +COUNT Sum_G4 = G4 (1). +COUNT Sum_p = p (1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G3 divided by Sum_m. +COMPUTE Proportion_Disabled_men_Meaningful_Participation = (Sum_G4 / Sum_p) * 100. +VALUE LABELS Proportion_Disabled_men_Meaningful_Participation 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +** to remove missing cases found when dividing by zero, use select IF first**. +*SELECT IF (NOT MISSING(Proportion_Disabled_men_Meaningful_Participation)). + +FREQUENCIES VARIABLES=Sum_G4 Sum_p Proportion_Disabled_men_Meaningful_Participation + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +* another way of displaying the results but in a separate dataset window, Aggregate data to sum G4 and p then calculate the indicator. + +AGGREGATE + /OUTFILE=* /* Keeps the aggregated data in the current dataset */ + /BREAK= /* Leave this blank if not grouping by any variables */ + /Sum_G4 = SUM(G4) + /Sum_p= SUM(p). +COMPUTE Proportion_Men_Disability_Meaningful_Participation = (Sum_G4 / Sum_p) * 100. +EXECUTE. + + +**=======================================================================================* +***Proportion of women in decision-making entities who report being the decision maker +**=======================================================================================*. + + * Step 1: Identify women being the decision maker (G5). + +COMPUTE G5= (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND RGenEntityDM=1 AND RESPSex = 0. +EXECUTE. + +VARIABLE LABELS +G5 "Women reporting being the decision maker in decision-making entities". +VARIABLE LABELS +i "Number of women who confirm they are members of or participants in decision-making entities". +EXECUTE. + +* Step 3: Count the number of cases where G5= 1 and i = 1. +COUNT Sum_G5 = G5 (1). +COUNT Sum_i = i(1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G5 divided by Sum_i. +COMPUTE Proportion_Women_DM_Reports_DMakers = (Sum_G5 / Sum_i) * 100. +VALUE LABELS Proportion_Women_DM_Reports_DMakers 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +** to remove missing cases found when dividing by zero, use select IF first**. +*SELECT IF (NOT MISSING(Proportion_Women_DM_Reports_DMakers )). + +FREQUENCIES VARIABLES=Sum_G5 Sum_i Proportion_Women_DM_Reports_DMakers + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +**=======================================================================================* +***Proportion of Men in decision-making entities who report being the decision maker +**=======================================================================================*. + * Step 1: Identify men being the decision maker (G6). +COMPUTE G6= (ENUGenEntityYN = 1 AND RGenEntityYN =1) AND RGenEntityDM=1 AND RESPSex = 1. . +EXECUTE. +COMPUTE j = (ENUGenEntityYN = 1 AND RGenEntityYN =1 AND RESPSex= 1). +EXECUTE. +VARIABLE LABELS +G6 "Men reporting being the decision maker in decision-making entities". +VARIABLE LABELS +j "Number of men who confirm they are members of or participants in decision-making entities". +EXECUTE. + +* Step 3: Count the number of cases where G6= 1 and j = 1. +COUNT Sum_G6 = G6 (1). +COUNT Sum_j = j(1). +EXECUTE. + +* Step 4: Calculate the proportion of Sum_G6 divided by Sum_j. +COMPUTE Proportion_Men_DM_Reports_DMakers = (Sum_G6 / Sum_j) * 100. +VALUE LABELS Proportion_Men_DM_Reports_DMakers 0 "No meaningful participation" 100 "Meaningful Participation". +EXECUTE. + +* Step 5: Display the computed results ** TAKE VALID PERCENT VALUE*. +** to remove missing cases found when dividing by zero, use select IF first**. +*SELECT IF (NOT MISSING(Proportion_Women_DM_Reports_DMakers )). + +FREQUENCIES VARIABLES=Sum_G6 Sum_j Proportion_Men_DM_Reports_DMakers + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + + + From 97ec5a3563584b208d1d091797822b4c25826b20 Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:53:23 +0200 Subject: [PATCH 3/6] Create README.md --- gender-CC-3-5/README.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 gender-CC-3-5/README.md diff --git a/gender-CC-3-5/README.md b/gender-CC-3-5/README.md new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/gender-CC-3-5/README.md @@ -0,0 +1 @@ + From 3a0225c7a033292762e84782620fda9805098d4a Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:53:39 +0200 Subject: [PATCH 4/6] Add files via upload --- gender-CC-3-5/CC.3.5 SPSS Syntax.sps | 261 +++++++++++++++++++++++++++ 1 file changed, 261 insertions(+) create mode 100644 gender-CC-3-5/CC.3.5 SPSS Syntax.sps diff --git a/gender-CC-3-5/CC.3.5 SPSS Syntax.sps b/gender-CC-3-5/CC.3.5 SPSS Syntax.sps new file mode 100644 index 0000000..708b15a --- /dev/null +++ b/gender-CC-3-5/CC.3.5 SPSS Syntax.sps @@ -0,0 +1,261 @@ +* Encoding: UTF-8. +**** Calculating CC.3.5 Variable**. + +**Defining Variable Labels** + +** Preconditions Questions. + +VARIABLE LABELS INDAsstWFPRecCashYN1Y "Did you receive cash-based WFP assistance in the last 12 months?". +VARIABLE LABELS INDAsstWFPRecCapBuildYN1Y "Did you receive WFP capacity building assistance in the last 12 months?". + +VALUE LABELS INDAsstWFPRecCashYN1Y, INDAsstWFPRecCapBuildYN1Y 0 "No" 1 "Yes". + +** Demographics**. + +VARIABLE LABELS RESPSex "Sex of the Respondent". +VALUE LABELS RESPSex 0 "Female" 1 "Male". + +VARIABLE LABELS RESPAge "What is your age (in years)?". + +VARIABLE LABELS RDisabSee "Do you have difficulty seeing, even if wearing glasses?". +VARIABLE LABELS RDisabHear "Do you have difficulty hearing, even if using a hearing aid(s)?". +VARIABLE LABELS RDisabWalk "Do you have difficulty walking or climbing steps?". +VARIABLE LABELS RDisabRemember "Do you have difficulty remembering or concentrating?". +VARIABLE LABELS RDisabUnderstand "Using your usual language, do you have difficulty communicating, for example understanding or being understood?". +VARIABLE LABELS RDisabWash "Do you have difficulty with self-care, such as washing all over or dressing?". + +VALUE LABELS RDisabSee, RDisabHear, RDisabWalk, RDisabRemember, RDisabUnderstand, RDisabWash 1 "No difficulty" 2 "Some difficulty" 3 "A lot of difficulty" 4 "Cannot do at all" +888 "Don't know" 999 "Refuse". + +VARIABLE LABELS HHGenMembers "What is the composition of you household? By this, I mean which household members slept in your house at least 5 out of the last 7 nights.". + +VALUE LABELS HHGenMembers +1 "Couple household without children" 2 "Couple household with children" 3 "Single-parent household" 4 "Polygamous households" 5 "Single person household" 6 "Extended family household" 7 "Other household type". + +** Other Questions**. + +VARIABLE LABELS RFinancSit "Your current financial situation compared to one year back has… please, complete the sentence.". +VALUE LABELS RFinancSit 1 "Improved" 2 "Stayed the same" 3 "Worsened" 999 "Prefer not to answer". + +VARIABLE LABELS RFinancSitRsn "What do you think are the main reasons why your financial situation changed?". +VALUE LABELS RFinancSitRsn +1 "Employment Changes (Gaining or losing a job/business, changes in income, or shifts in working hours, and transitions between employment statuses.)"  +2 "Life Events (Marriage, divorce, childbirth, death of a spouse, retirement, or other significant personal milestones.)" +3 "Economic Factors (Fluctuations in the economy, such as recessions, inflation, changes in interest rates, shifts in the stock market, and the impact of events like wars or geopolitical tensions.)" +4 "Health Issues (Medical emergencies, chronic illnesses, or injuries that lead to increased healthcare expenses, loss of income due to inability to work, or other financial burdens.)" +5 "Environmental Factors (Natural events such as droughts, floods, hurricanes, or earthquakes that can have significant economic consequences, affecting crops, industries, resource availability, and individuals' financial situations.)" +999 "Others". + + +* Define binary variables for each Reason. +COMPUTE Employment_Changes = (RFinancSitRsn = 1). +COMPUTE Life_Events = (RFinancSitRsn = 2). +COMPUTE Economic_Factors = (RFinancSitRsn =3). +COMPUTE Health_Issues = (RFinancSitRsn = 4). +COMPUTE Environmental_Factors = (RFinancSitRsn = 5). +COMPUTE Others = (RFinancSitRsn = 999). + +VALUE LABELS Employment_Changes, Life_Events, Economic_Factors, Health_Issues, Environmental_Factors, Others 0 "No" 1"Yes". + +**Ladder** + +VARIABLE LABELS RGenLadderNoteF "Please imagine a five-step ladder where at the bottom, on the first step, stand women of the community with little to say about important affairs in their lives, such as their working life, whether to start or end a relationship in their personal life, or starting a new agricultural or other type of business. On the highest step, the fifth, stand those women who have a great capacity to make important decisions for themselves.". + +VARIABLE LABELS RGenLadderNoteM "Please imagine a five-step ladder where at the bottom, on the first step, stand men of the community with little to say about important affairs in their lives, such as their working life, whether to start or end a relationship in their personal life, or starting a new agricultural or other type of business. On the highest step, the fifth, stand those men who have a great capacity to make important decisions for themselves.". + +VARIABLE LABELS RGenLadderToday "On which step of this ladder, would you position yourself today?". +VARIABLE LABELS RGenLadder1Y "Where were you one year ago?". + +VALUE LABELS RGenLadderToday RGenLadder1Y 1 "Step 1 - Almost no power or freedom to make decisions" 2 " Step 2 - Only a small amount of power & freedom" +3 "Step 3 - Power & freedom to make some major economic decisions" +4 "Step 4 – Power & freedom to make many major economic decisions" +5 "Step 5 - Power & freedom to make most/all major economic decisions". + + +VARIABLE LABELS RGenLadderRsn "In a short sentence, what do you think are the main reasons why your rating (increased/stayed the same/decreased)?". + + + +**==============================================================================** + *Indicator calcualtions* +**===============================================================================**. +**NOTE: Always filter for Q1 OR Q2 =1. + +** Step 1: Calculating G1 : Total number of women reporting an improvement in their financial situation since this time last year (Question 1 = 1). +COMPUTE G1 = (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & RFinancSit=1. +EXECUTE. + +VARIABLE LABELS G1 "Total number of women reporting an improvement in their financial situation since this time last year ". + +**Step 2: Calculating G2 : Total number of women reporting an improvement in agency (Question 4 value (step) < or = Question 3 Value step). + +COMPUTE G2= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) &( RGenLadder1Y <= RGenLadderToday). +EXECUTE. + +VARIABLE LABELS G2 "Total number of women reporting an improvement in agency". + +** Step 3: Now, count for an improvement only if G1 and G2 are showing improvement together - considering they are women. + +COMPUTE G1.2= (G1=1 & G2=1) & RESPSex=0. +VARIABLE LABELS G1.2 "Women perceived economic empowerment". +EXECUTE. + +COMPUTE i= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & RESPSex=0 . + VARIABLE LABELS i "number of women". + +* Step 4: Count the number of cases where G1.2= 1 and i = 1. +COUNT Sum_G1.2= G1.2 (1). +COUNT Sum_i = i (1). +EXECUTE. + +* Step 5: Calculate the proportion of Sum_G1.2 divided by Sum_i. +COMPUTE Percentage_Women_Reporting_economic_empowerment= (Sum_G1.2 / Sum_i) * 100. +VALUE LABELS Percentage_Women_Reporting_economic_empowerment 0 "Do not Report economic empowerment" 100 "Reports economic empowerment". +EXECUTE. + +* Step 6: Display the computed results ** TAKE VALID PERCENT VALUE*. + +FREQUENCIES VARIABLES=Sum_G1.2 Sum_i Percentage_Women_Reporting_economic_empowerment + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + +*** =================================================*** +*Percentage_Men_Reporting_economic_empowerment Indicator +**=====================================================** +** Step 1: Calculating G3 : Total number of men reporting an improvement in their financial situation since this time last year (Question 1 = 1). +COMPUTE G3 = (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & RFinancSit=1. +EXECUTE. + +VARIABLE LABELS G3 "Total number of men reporting an improvement in their financial situation since this time last year ". + +**Step 2: Calculating G4 : Total number of men reporting an improvement in agency (Question 4 value (step) < or = Question 3 Value step). + +COMPUTE G4= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) &( RGenLadder1Y <= RGenLadderToday). +EXECUTE. + +VARIABLE LABELS G4 "Total number of men reporting an improvement in agency". + +** Step 3: Now, count for an improvement only if G3 and G4 are showing improvement together - considering they are MEN. + +COMPUTE G3.4= (G3=1 & G4=1) & RESPSex=1. +VARIABLE LABELS G3.4 "Men perceived economic empowerment". +EXECUTE. + +COMPUTE j= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & RESPSex=1 . + VARIABLE LABELS j "number of men". + +* Step 4: Count the number of cases where G3.4= 1 and j = 1. +COUNT Sum_G3.4= G3.4 (1). +COUNT Sum_j =j (1). +EXECUTE. + +* Step 5: Calculate the proportion of Sum_G3.4 divided by Sum_j. +COMPUTE Percentage_men_Reporting_economic_empowerment= (Sum_G3.4 / Sum_j) * 100. +VALUE LABELS Percentage_men_Reporting_economic_empowerment 0 "Do not Report economic empowerment" 100 "Reports economic empowerment". +EXECUTE. + +* Step 6: Display the computed results ** TAKE VALID PERCENT VALUE*. + +FREQUENCIES VARIABLES=Sum_G3.4 Sum_j Percentage_men_Reporting_economic_empowerment + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + + +**================================================================** +** Repeat the indicators for disabled people. +**================================================================** +**Create a new variable for disabled people 1= has disability 0= does not have a disability. + +COMPUTE Disabled= (RDisabSee>= 3 | RDisabHear >= 3 | RDisabWalk>=3 | RDisabRemember>= 3 | RDisabUnderstand >= 3 | RDisabWash >= 3). +EXECUTE. +VALUE LABELS Disabled 1"has disability" 0 "does not have a disability". + + +**================================================================** + Percentage_DISABLED_WOMEN_Reporting_economic_empowerment +**================================================================**.. +**Step 1: Calculating G5 : Total number of women with disability reporting an improvement in their financial situation since this time last year (Question 1 = 1). +COMPUTE G5 = (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 & RFinancSit=1. +EXECUTE. + +VARIABLE LABELS G6 "Total number of women with disability reporting an improvement in their financial situation since this time last year ". + +**Step 2: Calculating G6 : Total number of women with disabiliy reporting an improvement in agency (Question 4 value (step) < or = Question 3 Value step). + + + +COMPUTE G6= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 & (RGenLadder1Y <= RGenLadderToday). + +VARIABLE LABELS G6 "Total number of women reporting an improvement in agency". +EXECUTE. +** Step3: Now, count for an improvement only if G5 and G6 are showing improvement together - considering they are WOMEN. + +COMPUTE G5.6= (G5=1 & G6=1) & RESPSex=0. +VARIABLE LABELS G5.6 "Women with disability perceived economic empowerment". +EXECUTE. + +COMPUTE m= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 & RESPSex=0 . + VARIABLE LABELS m "number of women with disability". + +* Step 4: Count the number of cases where G5.6= 1 and m= 1. +COUNT Sum_G5.6= G5.6 (1). +COUNT Sum_m =m (1). +EXECUTE. + +* Step 5: Calculate the proportion of Sum_G5.6 divided by Sum_m. +COMPUTE Percentage_DISABLED_WOMEN_Reporting_economic_empowerment= (Sum_G5.6 / Sum_m) * 100. +VALUE LABELS Percentage_DISABLED_WOMEN_Reporting_economic_empowerment 0 "Do not Report economic empowerment" 100 "Reports economic empowerment". +EXECUTE. + +* Step 6: Display the computed results ** TAKE VALID PERCENT VALUE*. + +FREQUENCIES VARIABLES=Sum_G5.6 Sum_m Percentage_DISABLED_WOMEN_Reporting_economic_empowerment + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + + + +**================================================================** + Percentage_DISABLED_MEN_Reporting_economic_empowerment +**================================================================**.. + +** Step 1: Calculating G7 : Total number of men with disability reporting an improvement in their financial situation since this time last year (Question 1 = 1). +COMPUTE G7 = (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 & RFinancSit=1. +EXECUTE. + +VARIABLE LABELS G7 "Total number of men with disability reporting an improvement in their financial situation since this time last year ". + +**Step 2: Calculating G8 : Total number of men with disabiliy reporting an improvement in agency (Question 4 value (step) < or = Question 3 Value step). + +COMPUTE G8= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 &( RGenLadder1Y <= RGenLadderToday). +EXECUTE. + +VARIABLE LABELS G8 "Total number of men reporting an improvement in agency". + +** Step 3: Now, count for an improvement only if G5 and G6 are showing improvement together - considering they are WOMEN. + +COMPUTE G7.8= (G7=1 & G8=1) & RESPSex=1. +VARIABLE LABELS G7.8 "Men perceived economic empowerment". +EXECUTE. + +COMPUTE p= (INDAsstWFPRecCashYN1Y =1 | INDAsstWFPRecCapBuildYN1Y= 1) & Disabled=1 & RESPSex=1 . + VARIABLE LABELS p "number of men with disability". + + +* Step 4: Count the number of cases where G7.8= 1 and p= 1. +COUNT Sum_G7.8= G7.8 (1). +COUNT Sum_p =p(1). +EXECUTE. + +* Step 5: Calculate the proportion of Sum_G7.8 divided by Sum_p. +COMPUTE Percentage_DISABLED_MEN_Reporting_economic_empowerment= (Sum_G7.8/ Sum_p) * 100. +VALUE LABELS Percentage_DISABLED_MEN_Reporting_economic_empowerment 0 "Do not Report economic empowerment" 100 "Reports economic empowerment". +EXECUTE. + +* Step 6: Display the computed results ** TAKE VALID PERCENT VALUE*. + +FREQUENCIES VARIABLES=Sum_G7.8 Sum_p Percentage_DISABLED_MEN_Reporting_economic_empowerment + /STATISTICS=MEAN SUM + /ORDER=ANALYSIS. + + From 4a950e1fd806cb7181ef20932c51bed7bc336aa0 Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:55:54 +0200 Subject: [PATCH 5/6] Rename gender-CC-3-5/README.md to Indicators/gender-CC-3-5/README.md --- {gender-CC-3-5 => Indicators/gender-CC-3-5}/README.md | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {gender-CC-3-5 => Indicators/gender-CC-3-5}/README.md (100%) diff --git a/gender-CC-3-5/README.md b/Indicators/gender-CC-3-5/README.md similarity index 100% rename from gender-CC-3-5/README.md rename to Indicators/gender-CC-3-5/README.md From 26aaad2320bc0aac4746cca86ea318b87526b5fa Mon Sep 17 00:00:00 2001 From: Valerio Giuffrida Date: Mon, 26 Aug 2024 10:56:29 +0200 Subject: [PATCH 6/6] Update and rename gender-CC-3-5/CC.3.5 SPSS Syntax.sps to Indicators/gender-CC-3-5/CC.3.5 SPSS Syntax.sps --- .../gender-CC-3-5}/CC.3.5 SPSS Syntax.sps | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {gender-CC-3-5 => Indicators/gender-CC-3-5}/CC.3.5 SPSS Syntax.sps (100%) diff --git a/gender-CC-3-5/CC.3.5 SPSS Syntax.sps b/Indicators/gender-CC-3-5/CC.3.5 SPSS Syntax.sps similarity index 100% rename from gender-CC-3-5/CC.3.5 SPSS Syntax.sps rename to Indicators/gender-CC-3-5/CC.3.5 SPSS Syntax.sps