(last updated on 2024-11-11)

  • This codebook describes RMS_panel_1_2_3.dta, RMS dataset de-identified and prepared for analysis (hereinafter referred to as dataset).
  • The dataset has 3364 observations/rows and 2058 variables/columns, from all 3 rounds of data collection.
  • It is organized into: Part 1 Observations, Part 2 Variables, and two annexes.

RECOMMENDATION

  • It is strongly recommended that users analyze the dataset with a reproducible code - i.e., for example in Stata, always write and run do files. This is important, since the dataset may be updated to correct any errors - AFTER you downloaded a version. (For example, on November 6th, it was discovered that m2q4 (“are you able to read and write?”) value label was very likely incorrect, when we cross-tabulated m2q4 and m2q5 (highest school attended). So, the variable readwrite was recreated.)
  • Always check the updatedate and updatetime by tab updatedate updatetime in Stata. This codebook was created using a dataset that was updated on 11Nov2024, 11:26:55.
  • So, if you had downloaded the dataset before 11Nov2024, please download the dataset again, and run your code.

Part 1: Observations

  • The dataset is in a long format (i.e., each round data are appended).
  • A total of 1616 women were interviewed in round 1 (aka baseline). Of those, 900 were interviewed again in round 2. Among the 900, 848 were followed-up again in round 3.
  • i.e., 716 women were interviewed once, only in the baseline; 52 were interviewed twice (rounds 1 and 2); and 848 were interviewed three times (rounds 1, 2, and 3).
  • Therefore, the total number of observations is 3364.
  • Each unique woman is identified by hhid across all rounds.
  • Each unique observation is identified by a combination of two variables: round and hhid.

Part 2: Variables

There are two types of modules in the questionnaires:

  1. Modules asked only in Round 1 (Baseline): Modules 2-5, and 7-10. It was assumed that those do not change over time (e.g., woman’s age, education, household wealth), and baseline values were assigned to later rounds within each woman. However, child’s age was updated in each round, though it was asked only in the baseline.
  2. Modules asked in every rounds: Modules 1, 6 and 11-18.

There are two types of variables:

  1. Raw variables: They were cleaned by the implementation agency only minimally, and follow question and response option numbers in the questionnaires/data entry app. Their names are m[X]q[Y]; [X] refers to a module number in the questionnaire, and [Y] is a question number.
  2. Constructed variables: They were created for analysis - hereinafter referred to as “constructed variables.”
    – For most constructed variables that are binary or categorical, codebook 'variable' in Stata will provide value labels.
    – Meanwhile, some constructed variables are composite scores/indices - i.e., created using a set of binary or ordinal variables. They are described in detail in this codebook. Also, see Annex 2.

In the dataset, variables are located in the following order:

  • Basic variables for analysis - e.g., ID, sample design, and data management related variables
  • Constructed variables, including composite scores (not necessarily organized by module)
  • Raw variables that follow the questionnaire (mostly following the module order)
  • Raw variables that are included probably for implementation management purposes and/or created in the data entry app (e.g., para data). These are not in the paper questionnaire.

This part describes only basic variables and constructed variables by module, including detailed information about composite scores. For raw variables, please refer to the questionnaires.

NOTE
1. Constructed variables have been developed, as we continue exploring the dataset for specific research questions. For example, we have not conducted explored Module 5 and Module 16, and there are no constructed variables for the two modules. Depending on analysis purposes, users should explore the dataset further. They may find current constructed variables are irrelevant and/or want to create their own constructed variables.
2. The dataset has been created over time by at least two analysis teams. We reviewed questionnaires as well as various Stata do files to understand and document variables as clearly as possible.
3. The dataset also includes many interim/temporary constructed variables (i.e., variables that would not be used in analysis directly but rather were used to create composite/summary scores). This codebook lists items used for select composite scores but does not describe the items. They are often self-explanatory, with questionnaires.
4. Importantly, this codebook is work in progress. For questions and errors, please contact us!

Basic variables from Module 1 (or so)

Description of table columns:
* unique_values: Number of unique values
* min: Minimum (NA if character variable)
* max: Maximum (NA if character variable)
* medium: Median (NA if character variable)
* freq_nonmissing: Number of non-missing observations
* freq_missing: Number of missing observations

variable label type unique_values min max median freq_nonmissing freq_missing
round RMS data collection round (1=Baseline) double 3 1 3 2 3364 0
hhid Unique HH/woman ID double 1616 1 1616 694 3364 0
clustername Sampling Cluster Name (from R1) character 64 NA NA NA NA 0
weight Sampling weight (from R1) double 60 0 7 1 3364 0
hz Health Zone double 9 1 8 4 3286 78
interviewdate Interview date double 57 Inf -Inf NA 3364 0
interviewyearmonth Interview year and month double 5 763 776 770 3364 0
num_rounds Number of rounds interviewed per respondent double 3 1 3 3 3364 0
panel Included in panel follow-up double 2 0 1 1 3364 0
updatedate date of panel dataset update character 1 NA NA NA NA 0
updatetime time of panel dataset update character 1 NA NA NA NA 0

CAUTION
Raw variables in Module 1 (e.g., m1q7) do not necessarily follow the paper questionnaires consistently across rounds - please do not use them for analyses. The basic ID variables (listed above) were cleaned and confirmed for analysis.

NOTE
See annex for further information on sampling weight.

Constructed variables from Modules 2-3

variable label type unique_values min max median freq_nonmissing freq_missing
age woman’s age at interview (years) double 35 15 55 25 3364 0
agegroup5 woman’s age at interview (5-year group) double 8 15 50 25 3364 0
childage child’s age in month double 25 0 24 11 3364 0
wealthscore household wealth index double 1255 -4 9 0 3364 0
wealthquintile household wealth index quintile double 5 1 5 3 3364 0
wealthtertile household wealth index tertile double 3 1 3 2 3364 0
hhsize Houshold size, total double 22 1 25 6 3364 0
hhsizecat 4-category household size double 4 1 4 2 3364 0
eduany attended any school double 2 0 1 1 3364 0
edupri completed primary school double 2 0 1 1 3364 0
edusec completed secondary school double 2 0 1 0 3364 0
edu4 4-category education double 4 1 4 3 3364 0
readwrite can read and write double 2 0 1 1 3364 0
numbiochild_together number of biologic children, living together double 15 0 14 3 3364 0
numallchild_together number of all children, living together double 22 0 23 4 3364 0

Constructed variables from Module 4

variable label type unique_values min max median freq_nonmissing freq_missing
eib Early Initiation of Breastfeeding double 2 0 1 1 3364 0
handwashtimes Number of times that you should wash your hands (range: 0-7) double 8 0 7 4 3364 0

Composite score: handwashtimes

Construction of a composite score
variable_name construction item_type number_of_items
handwashtimes simple sum of items binary (0/1) 7
List of items for the score
item.number item
1 handwash_latrine
2 handwash_defacated
3 handwash_preparefood
4 handwash_eatfood
5 handwash_feedchild
6 handwash_cleaning
7 handwash_animal

Constructed variables from Modules 5

We have not conducted exploratory analysis for Module 5, and, thus, there is no constructed variable.

Constructed variables from Module 6

NOTE

  • Module 6 questions are different across rounds. Individual resilience was asked only in Round 1, and household resilience was asked in Round 2 and Round 3.
  • Tentatively, for exploratory data analysis purposes, Round 2 household resilience score was assigned to Round 1 - among women who were interviewed again in Round 2. Users should make decisions on if and how to use the resilience scores, depending on their own research questiosn.
variable label type unique_values min max median freq_nonmissing freq_missing
indris Individual RIS: Resilience Indicator Score (scale: 1-5) double 24 1 5 3 1616 1748
hhris HH RIS: Resilience Indicator Score (average scale: 1-5) double 36 1 5 3 2648 716

Composite score: indris

Construction of a composite score
variable_name construction item_type number_of_items
indris simple average of items 5 categories (1-5) 6
List of items for the score
item.number item
1 m6q1n
2 m6q2
3 m6q3n
4 m6q4
5 m6q5n
6 m6q6

Composite score: hhris

Construction of a composite score
variable_name construction item_type number_of_items
hhris simple average of items 5 categories (1-5) 9
List of items for the score
item.number item
1 hhres_m6aq1
2 hhres_m6aq2
3 hhres_m6aq3
4 hhres_m6aq4
5 hhres_m6aq5
6 hhres_m6aq6
7 hhres_m6aq7
8 hhres_m6aq8
9 hhres_m6aq9

Constructed variables from Module 7

variable label type unique_values min max median freq_nonmissing freq_missing
aspiscore Aspiration score (higher, better) double 17 4 20 12 3364 0
aspitertile Aspiration score tertile double 3 1 3 2 3364 0

Composite score: aspiscore

Construction of a composite score
variable_name construction item_type number_of_items
aspiscore simple sum of items 5 categories (1-5) 4
List of items for the score
item.number item
1 m7q1
2 m7q2
3 m7q3
4 m7q4

Constructed variables from Module 8

variable label type unique_values min max median freq_nonmissing freq_missing
scaledecision decision making scale (alone or jointly with husband/partner) double 7 0 6 4 3364 0

Composite score: scaledecision

Construction of a composite score
variable_name construction item_type number_of_items
scaledecision simple sum of items binary (0/1) 6
List of items for the score
item.number item
1 dichodecsick
2 dichodecownhealthcare
3 dichodecchildhealthcare
4 dichodecfood
5 dichodeccontr
6 dichodecanochild

Constructed variables from Module 9

variable label type unique_values min max median freq_nonmissing freq_missing
knowledge knowledge score (simple sum of items) double 7 0 6 4 3364 0
triknowledge 3 levels of knowledge double 3 0 2 2 3364 0
selfefficacy self-efficacy score (simple sum of items) double 5 0 4 2 3364 0
triselfefficacy 3 levels of self-efficacy double 3 0 2 1 3364 0
intentions intentions score (simple sum of items) double 4 0 3 2 3364 0
triintentions 3 levels of intentions double 3 0 2 1 3364 0
behaviors behaviors score (simple sum of items) double 5 0 4 2 3364 0
tribehaviors 3 levels of behaviors double 3 0 2 1 3364 0
kap kap score (simple sum of items) double 11 0 10 7 3364 0
trikap 3 levels of KAP double 3 0 2 1 3364 0

Composite score: knowledge

Construction of a composite score
variable_name construction item_type number_of_items
knowledge simple sum of items binary (0/1) 6
List of items for the score
item.number item
1 dichom9q1
2 dichom9q4
3 dichom9q6
4 dichom9q11
5 dichom9q14
6 dichom9q16

Composite score: selfefficacy

Construction of a composite score
variable_name construction item_type number_of_items
selfefficacy simple sum of items binary (0/1) 4
List of items for the score
item.number item
1 dichom9q2
2 dichom9q7
3 dichom9q12
4 dichom9q17

Composite score: intentions

Construction of a composite score
variable_name construction item_type number_of_items
intentions simple sum of items binary (0/1) 3
List of items for the score
item.number item
1 dichom9q3
2 dichom9q8
3 dichom9q13

Composite score: behaviors

Construction of a composite score
variable_name construction item_type number_of_items
behaviors simple sum of items binary (0/1) 4
List of items for the score
item.number item
1 dichom9q5
2 dichom9q10
3 dichom9q15
4 dichom9q20

Composite score: kap

Construction of a composite score
variable_name construction item_type number_of_items
kap simple sum of items binary (0/1) 10
List of items for the score
item.number item
1 dichom9q4
2 dichom9q6
3 dichom9q11
4 dichom9q14
5 dichom9q16
6 dichom9q3
7 dichom9q13
8 dichom9q2
9 dichom9q5
10 dichom9q15

Constructed variables from Modules 10

variable label type unique_values min max median freq_nonmissing freq_missing
groups number of groups woman/hh belongs to double 13 0 12 1 3364 0
groups_any she/hh beolngs to one or more groups double 2 0 1 1 3364 0
groups_help would go for help in crisis for any groups she/hh beolngs to (Q10.17) double 2 0 1 0 3364 0
groupsassist number of groups woman/hh would turn to for help in crisis double 11 0 13 0 3364 0
groupsassistdicho have groups to turn to for help in crisis double 2 0 1 0 3364 0

Composite score: groups

Construction of a composite score
variable_name construction item_type number_of_items
groups simple sum of items binary (0/1) 16
List of items for the score
item.number item
1 m10q1
2 m10q2
3 m10q3
4 m10q4
5 m10q5
6 m10q6
7 m10q7
8 m10q8
9 m10q9
10 m10q10
11 m10q11
12 m10q12
13 m10q13
14 m10q14
15 m10q15
16 m10q16

Composite score: groupsassist

Construction of a composite score
variable_name construction item_type number_of_items
groupsassist simple sum of items binary (0/1) 15
List of items for the score
item.number item
1 m10q18_m10q18_vsla
2 m10q18_m10q18_religious
3 m10q18_m10q18_tontine
4 m10q18_m10q18_womenassoc
5 m10q18_m10q18_menassoc
6 m10q18_m10q18_parentassoc
7 m10q18_m10q18_comm
8 m10q18_m10q18_farmer
9 m10q18_m10q18_work
10 m10q18_m10q18_neighb
11 m10q18_m10q18_ethnic
12 m10q18_m10q18_family
13 m10q18_m10q18_alma
14 m10q18_m10q18_coop
15 m10q18_m10q18_burial

Constructed variables from Modules 11 - A. Exposure to shocks

variable label type unique_values min max median freq_nonmissing freq_missing
numshock_env number of shocks in the past 3 months, environment related shocks double 8 0 7 0 3364 0
numshock_bio number of shocks in the past 3 months, biologic/disease related shocks double 5 0 4 0 3364 0
numshock_conf number of shocks in the past 3 months, conflict/violence/security related shocks double 11 0 11 0 3364 0
numshock_eco number of shocks in the past 3 months, economy related shocks double 10 0 10 1 3364 0
numshock_dem number of shocks in the past 3 months, demographic events (including deaths) double 6 0 6 0 3364 0
numshock_death number of shocks in the past 3 months, deaths of spouse, children, or HH members double 4 0 3 0 3364 0
numshock_health number of shocks in the past 3 months, health related shocks double 4 0 3 0 3364 0
numshock_eco2 number of shocks in the past 3 months, economy + death of someone else helping H double 11 0 11 1 3364 0
numshock_any number of shocks in the past 3 months, any shocks double 23 0 25 3 3364 0
shock_env experienced shock in the past 3 months, environment double 2 0 1 0 3364 0
shock_bio experienced shock in the past 3 months, biologic double 2 0 1 0 3364 0
shock_conf experienced shock in the past 3 months, conflict double 2 0 1 0 3364 0
shock_eco experienced shock in the past 3 months, economic double 2 0 1 1 3364 0
shock_dem experienced shock in the past 3 months, demographic events double 2 0 1 0 3364 0
shock_death experienced shock in the past 3 months, death double 2 0 1 0 3364 0
shock_health experienced shock in the past 3 months, death or health double 2 0 1 0 3364 0
shock_eco2 experienced shock in the past 3 months, economic (v2) double 2 0 1 1 3364 0
shock_any experienced shock in the past 3 months, any type double 2 0 1 1 3364 0
shocks_total Number of shock types experienced in the past 3 months (0-39: m11q1_*) double 23 0 24 3 3364 0
shocks_incidence Frequency of shocks in the past 3 months (sum of 31 types X 5 frequency categori double 44 0 54 6 3364 0

Composite score: numshock_env

Construction of a composite score
variable_name construction item_type number_of_items
numshock_env simple sum of items binary (0/1) 8
List of items for the score
item.number item
1 m11q1_excrain
2 m11q1_drought
3 m11q1_hail
4 m11q1_landslide
5 m11q1_earthquake
6 m11q1_fires
7 m11q1_valcano
8 m11q1_heatwave

Composite score: numshock_bio

Construction of a composite score
variable_name construction item_type number_of_items
numshock_bio simple sum of items binary (0/1) 4
List of items for the score
item.number item
1 m11q1_cropdisease
2 m11q1_croppest
3 m11q1_livestdisease
4 m11q1_humandisease

Composite score: numshock_conf

Construction of a composite score
variable_name construction item_type number_of_items
numshock_conf simple sum of items binary (0/1) 12
List of items for the score
item.number item
1 m11q1_theftmoney
2 m11q1_theftcrops
3 m11q1_theftassets
4 m11q1_theftlivestock
5 m11q1_violencehouse
6 m11q1_violencecomm
7 m11q1_strikes
8 m11q1_rape
9 m11q1_conflictfodderanim
10 m11q1_conflictwateranim
11 m11q1_relocation
12 m11q1_insecurity

Composite score: numshock_eco

Construction of a composite score
variable_name construction item_type number_of_items
numshock_eco simple sum of items binary (0/1) 10
List of items for the score
item.number item
1 m11q1_foodprices
2 m11q1_unavaillivestock
3 m11q1_incpriceslivestock
4 m11q1_demandlivestock
5 m11q1_decpriceslivestock
6 m11q1_workaccid
7 m11q1_lostland
8 m11q1_jobloss
9 m11q1_youthunempl
10 m11q1_emigrationhouse

Composite score: numshock_dem

Construction of a composite score
variable_name construction item_type number_of_items
numshock_dem simple sum of items binary (0/1) 6
List of items for the score
item.number item
1 m11q1_spousedeath
2 m11q1_childdeath
3 m11q1_otherhousedeath
4 m11q1_nonhousefamdeath
5 m11q1_someoneelsedeath
6 m11q1_divorce

Composite score: numshock_death

Construction of a composite score
variable_name construction item_type number_of_items
numshock_death simple sum of items binary (0/1) 3
List of items for the score
item.number item
1 m11q1_spousedeath
2 m11q1_childdeath
3 m11q1_otherhousedeath

Composite score: numshock_health

Construction of a composite score
variable_name construction item_type number_of_items
numshock_health simple sum of items binary (0/1) 4
List of items for the score
item.number item
1 m11q1_spousedeath
2 m11q1_childdeath
3 m11q1_otherhousedeath
4 m11q1_humandisease

Composite score: shocks_total

Construction of a composite score
variable_name construction item_type number_of_items
shocks_total simple sum of items count 39
List of items for the score
item.number item
1 m11q1_excrain
2 m11q1_drought
3 m11q1_hail
4 m11q1_landslide
5 m11q1_earthquake
6 m11q1_fires
7 m11q1_valcano
8 m11q1_cropdisease
9 m11q1_croppest
10 m11q1_livestdisease
11 m11q1_humandisease
12 m11q1_theftmoney
13 m11q1_theftcrops
14 m11q1_theftassets
15 m11q1_theftlivestock
16 m11q1_violencehouse
17 m11q1_violencecomm
18 m11q1_strikes
19 m11q1_rape
20 m11q1_conflictfodderanim
21 m11q1_conflictwateranim
22 m11q1_relocation
23 m11q1_insecurity
24 m11q1_foodprices
25 m11q1_unavaillivestock
26 m11q1_incpriceslivestock
27 m11q1_demandlivestock
28 m11q1_decpriceslivestock
29 m11q1_workaccid
30 m11q1_lostland
31 m11q1_jobloss
32 m11q1_youthunempl
33 m11q1_emigrationhouse
34 m11q1_spousedeath
35 m11q1_childdeath
36 m11q1_otherhousedeath
37 m11q1_nonhousefamdeath
38 m11q1_someoneelsedeath
39 m11q1_divorce

Composite score: shocks_incidence

Construction of a composite score
variable_name construction item_type number_of_items
shocks_incidence simple sum of items 5 categories (1-5), 0 if not experienced 39
List of items for the score
item.number item
1 m11q2_excrain2
2 m11q2_drought2
3 m11q2_hail2
4 m11q2_landslide2
5 m11q2_earthquake2
6 m11q2_fires2
7 m11q2_valcano2
8 m11q2_cropdisease2
9 m11q2_croppest2
10 m11q2_livestdisease2
11 m11q2_humandisease2
12 m11q2_theftmoney2
13 m11q2_theftcrops2
14 m11q2_theftassets2
15 m11q2_theftlivestock2
16 m11q2_violencehouse2
17 m11q2_violencecomm2
18 m11q2_strikes2
19 m11q2_rape2
20 m11q2_conflictfodderanim2
21 m11q2_conflictwateranim2
22 m11q2_relocation2
23 m11q2_insecurity2
24 m11q2_foodprices2
25 m11q2_unavaillivestock2
26 m11q2_incpriceslivestock2
27 m11q2_demandlivestock2
28 m11q2_decpriceslivestock2
29 m11q2_workaccid2
30 m11q2_lostland2
31 m11q2_jobloss2
32 m11q2_youthunempl2
33 m11q2_emigrationhouse2
34 m11q2_spousedeath2
35 m11q2_childdeath2
36 m11q2_otherhousedeath2
37 m11q2_nonhousefamdeath2
38 m11q2_someoneelsedeath2
39 m11q2_divorce2

Constructed variables from Modules 11 - B. Impact of shocks

variable label type unique_values min max median freq_nonmissing freq_missing
shocks_impact Impact of shocks in the past 3 months (sum of 39 types X 5 impact categories: m1 double 58 0 64 8 3364 0
shocks_impact_select Impact of shocks in the past 3 months, abbreviated (sum of select 33 types X 5 i double 52 0 55 4 3364 0
shocks_total_impacthealth Number of shock types that impacted health in the past 3 months (sum of 39 item, double 19 0 22 0 3364 0
shockimpact_env experienced shock that made strong+ impact in the past 3 months, environment double 2 0 1 0 3364 0
shockimpact_bio experienced shock that made strong+ impact in the past 3 months, biologic double 2 0 1 0 3364 0
shockimpact_conf experienced shock that made strong+ impact in the past 3 months, conflict double 2 0 1 0 3364 0
shockimpact_eco experienced shock that made strong+ impact in the past 3 months, economic double 2 0 1 0 3364 0
shockimpact_dem experienced shock that made strong+ impact in the past 3 months, demographic eve double 2 0 1 0 3364 0
shockimpact_death experienced shock that made strong+ impact in the past 3 months, death double 2 0 1 0 3364 0
shockimpact_health experienced shock that made strong+ impact in the past 3 months, death/health double 2 0 1 0 3364 0
shockimpact_eco2 experienced shock that made strong+ impact in the past 3 months, econ (v2) double 2 0 1 0 3364 0
shockimpact_any experienced shock that made strong+ impact in the past 3 months, any type double 2 0 1 1 3364 0

NOTE about shockimpact_[TYPE] variables

  • Women were classified to have experienced the type of shocks if they report that: they experienced a shock in the type and its impact was “Strong” or “Worst thing to ever happen”. Therefore, in each type, shockimpact_[TYPE] should be lower than shock_[TYPE].
  • See below numshock_[TYPE], for the list of shocks in each type.

Composite score: shocks_impact

Construction of a composite score
variable_name construction item_type number_of_items
shocks_impact simple sum of items 5 categories (1-5), 0 if not experienced 39
List of items for the score
item.number item
1 m11q3_excrain3
2 m11q3_drought3
3 m11q3_hail3
4 m11q3_landslide3
5 m11q3_earthquake3
6 m11q3_fires3
7 m11q3_valcano3
8 m11q3_cropdisease3
9 m11q3_croppest3
10 m11q3_livestdisease3
11 m11q3_humandisease3
12 m11q3_theftmoney3
13 m11q3_theftcrops3
14 m11q3_theftassets3
15 m11q3_theftlivestock3
16 m11q3_violencehouse3
17 m11q3_violencecomm3
18 m11q3_strikes3
19 m11q3_rape3
20 m11q3_conflictfodderanim3
21 m11q3_conflictwateranim3
22 m11q3_relocation3
23 m11q3_insecurity3
24 m11q3_foodprices3
25 m11q3_unavaillivestock3
26 m11q3_incpriceslivestock3
27 m11q3_demandlivestock3
28 m11q3_decpriceslivestock3
29 m11q3_workaccid3
30 m11q3_lostland3
31 m11q3_jobloss3
32 m11q3_youthunempl3
33 m11q3_emigrationhouse3
34 m11q3_spousedeath3
35 m11q3_childdeath3
36 m11q3_otherhousedeath3
37 m11q3_nonhousefamdeath3
38 m11q3_someoneelsedeath3
39 m11q3_divorce3

Composite score: shocks_impact_select

Construction of a composite score
variable_name construction item_type number_of_items
shocks_impact_select simple sum of items 5 categories (1-5), 0 if not experienced 33
List of items for the score
item.number item
1 m11q3_excrain3s
2 m11q3_drought3s
3 m11q3_hail3s
4 m11q3_landslide3s
5 m11q3_earthquake3s
6 m11q3_fires3s
7 m11q3_valcano3s
8 m11q3_cropdisease3s
9 m11q3_croppest3s
10 m11q3_livestdisease3s
11 m11q3_humandisease3s
12 m11q3_theftmoney3s
13 m11q3_theftcrops3s
14 m11q3_theftassets3s
15 m11q3_theftlivestock3s
16 m11q3_violencehouse3s
17 m11q3_violencecomm3s
18 m11q3_strikes3s
19 m11q3_rape3s
20 m11q3_conflictfodderanim3s
21 m11q3_conflictwateranim3s
22 m11q3_relocation3s
23 m11q3_insecurity3s
24 m11q3_unavaillivestock3s
25 m11q3_incpriceslivestock3s
26 m11q3_demandlivestock3s
27 m11q3_decpriceslivestock3s
28 m11q3_workaccid3s
29 m11q3_lostland3s
30 m11q3_jobloss3s
31 m11q3_youthunempl3s
32 m11q3_emigrationhouse3s
33 m11q3_divorce3s

Composite score: shocks_total_impacthealth

Construction of a composite score
variable_name construction item_type number_of_items
shocks_total_impacthealth simple sum of items count 39
List of items for the score
item.number item
1 m11q4_excrain
2 m11q4_drought
3 m11q4_hail
4 m11q4_landslide
5 m11q4_earthquake
6 m11q4_fires
7 m11q4_valcano
8 m11q4_cropdisease
9 m11q4_croppest
10 m11q4_livestdisease
11 m11q4_humandisease
12 m11q4_theftmoney
13 m11q4_theftcrops
14 m11q4_theftassets
15 m11q4_theftlivestock
16 m11q4_violencehouse
17 m11q4_violencecomm
18 m11q4_strikes
19 m11q4_rape
20 m11q4_conflictfodderanim
21 m11q4_conflictwateranim
22 m11q4_relocation
23 m11q4_insecurity
24 m11q4_foodprices
25 m11q4_unavaillivestock
26 m11q4_incpriceslivestock
27 m11q4_demandlivestock
28 m11q4_decpriceslivestock
29 m11q4_workaccid
30 m11q4_lostland
31 m11q4_jobloss
32 m11q4_youthunempl
33 m11q4_emigrationhouse
34 m11q4_spousedeath
35 m11q4_childdeath
36 m11q4_otherhousedeath
37 m11q4_nonhousefamdeath
38 m11q4_someoneelsedeath
39 m11q4_divorce

Constructed variables from Modules 11 - C. Coping and recovery when having experienced shocks

variable label type unique_values min max median freq_nonmissing freq_missing
atr self-reported recovey from shock - average among any shocks in module 11 double 95 1 4 2 2763 601
coping_total Number of coping strategies used double 15 0 18 3 3364 0
coping_any Used any coping strategies double 2 0 1 1 3364 0
coping_total_pos Number of positive/neutral coping strategies used double 14 0 15 2 3364 0
coping_pos Used positive/neutral coping strategies double 2 0 1 1 3364 0
coping_total_neg Number of negative coping strategies used double 5 0 4 0 3364 0
coping_neg Used negative coping strategies double 2 0 1 0 3364 0
bondingsocialcapital has bonding social capital (Q11.26) double 2 0 1 0 3364 0
bridgingsocialcapital has bridging social capital (Q11.27) double 2 0 1 0 3364 0
socialcapital has either bonding or bridging social capital double 2 0 1 0 3364 0
shockrecover_env recovered to same or better, environment (at least for one shock if multiple) double 3 0 1 0 778 2586
shockrecover_bio recovered to same or better, biologic (at least for one shock if multiple) double 3 0 1 0 387 2977
shockrecover_conf recovered to same or better, conflict (at least for one shock if multiple) double 3 0 1 0 642 2722
shockrecover_eco recovered to same or better, economic (at least for one shock if multiple) double 3 0 1 0 1278 2086
shockrecover_dem recovered to same or better, demographic events (at least for one shock if multi double 3 0 1 0 569 2795
shockrecover_death recovered to same or better, death (at least for one shock if multiple) double 3 0 1 0 141 3223
shockrecover_health recovered to same or better, death or health (at least for one shock if multiple double 3 0 1 0 278 3086
shockrecover_eco2 recovered to same or better, econ (v2) (at least for one shock if multiple) double 3 0 1 0 1318 2046
shockrecover_any recovered to same or better, any type (at least for one shock if multiple) double 3 0 1 0 1883 1481

NOTE about shockrecover_[TYPE] variables

  • Among those who have experienced the specific types of shocks, women were classified to have recovered if they report they: recovered to same level as before, recovered and better off, or were not affected - for at least one of the shocks they reported if they reported multiple shocks in the type.
  • It is missing for those who did not experience the specific types of shocks.
  • See above numshock_[TYPE], for the list of shocks in each type.

Composite score: atr

Construction of a composite score
variable_name construction item_type number_of_items
atr simple average of items 4 categories (1-4), only if experienced 33
List of items for the score
item.number item
1 m11q5_excrain4
2 m11q5_drought4
3 m11q5_hail4
4 m11q5_landslide4
5 m11q5_earthquake4
6 m11q5_fires4
7 m11q5_valcano4
8 m11q5_cropdisease4
9 m11q5_croppest4
10 m11q5_livestdisease4
11 m11q5_humandisease4
12 m11q5_theftmoney4
13 m11q5_theftcrops4
14 m11q5_theftassets4
15 m11q5_theftlivestock4
16 m11q5_violencehouse4
17 m11q5_violencecomm4
18 m11q5_strikes4
19 m11q5_rape4
20 m11q5_conflictfodderanim4
21 m11q5_conflictwateranim4
22 m11q5_relocation4
23 m11q5_insecurity4
24 m11q5_unavaillivestock4
25 m11q5_incpriceslivestock4
26 m11q5_demandlivestock4
27 m11q5_decpriceslivestock4
28 m11q5_workaccid4
29 m11q5_lostland4
30 m11q5_jobloss4
31 m11q5_youthunempl4
32 m11q5_emigrationhouse4
33 m11q5_divorce4

Composite score: coping_total_pos

Construction of a composite score
variable_name construction item_type number_of_items
coping_total_pos simple sum of items binary (0/1) 25
List of items for the score
item.number item
1 m11q6
2 m11q7
3 m11q8
4 m11q9
5 m11q10
6 m11q12
7 m11q13
8 m11q14
9 m11q15
10 m11q16
11 m11q17
12 m11q18
13 m11q19
14 m11q22
15 m11q23
16 m11q24
17 m11q25
18 m11q26
19 m11q27
20 m11q28
21 m11q29
22 m11q30
23 m11q31
24 m11q34
25 m11q35_other_q

Composite score: coping_total_neg

Construction of a composite score
variable_name construction item_type number_of_items
coping_total_neg simple sum of items binary (0/1) 5
List of items for the score
item.number item
1 m11q11
2 m11q20
3 m11q21
4 m11q32
5 m11q33

Constructed variables from Modules 12 - A. Exposure to health shocks

variable label type unique_values min max median freq_nonmissing freq_missing
healthshocks_any has experienced health shock, any type in module 12 double 2 0 1 1 3364 0
healthshocks_total Number of health shock types in the past 3 months (0-13: m12q1_*) double 14 0 13 2 3364 0
healthshocks_incidence Frequency of health shocks in the past 3 months (sum of 13 types X 5 frequency c double 28 0 40 5 3364 0

Composite score: healthshocks_total

Construction of a composite score
variable_name construction item_type number_of_items
healthshocks_total simple sum of items binary (0/1) 13
List of items for the score
item.number item
1 m12q1_illspouse
2 m12q1_illchild
3 m12q1_illmember
4 m12q1_illself
5 m12q1_illother
6 m12q1_foodsecurity
7 m12q1_foodprices
8 m12q1_injurychild
9 m12q1_injuryother
10 m12q1_unpreg
11 m12q1_losspreg
12 m12q1_gbv
13 m12q1_other

Composite score: healthshocks_incidence

Construction of a composite score
variable_name construction item_type number_of_items
healthshocks_incidence simple sum of items 5 categories (1-5), 0 if not experienced 13
List of items for the score
item.number item
1 m12q2_illspouse2
2 m12q2_illchild2
3 m12q2_illmember2
4 m12q2_illself2
5 m12q2_illother2
6 m12q2_foodsecurity2
7 m12q2_foodprices2
8 m12q2_injurychild2
9 m12q2_injuryother2
10 m12q2_unpreg2
11 m12q2_losspreg2
12 m12q2_gbv2
13 m12q2_other2

Constructed variables from Modules 12 - B. Impact of health shocks

variable label type unique_values min max median freq_nonmissing freq_missing
healthshocks_impact Impact of health shocks in the past 3 months (sum of 13 types X 5 impact categor double 33 0 43 7 3364 0

Composite score: healthshocks_impact

Construction of a composite score
variable_name construction item_type number_of_items
healthshocks_impact simple sum of items 5 categories (1-5), 0 if not experienced 13
List of items for the score
item.number item
1 m12q3_illspouse3
2 m12q3_illchild3
3 m12q3_illmember3
4 m12q3_illself3
5 m12q3_illother3
6 m12q3_foodsecurity3
7 m12q3_foodprices3
8 m12q3_injurychild3
9 m12q3_injuryother3
10 m12q3_unpreg3
11 m12q3_losspreg3
12 m12q3_gbv3
13 m12q3_other3

Constructed variables from Modules 12 - C. Coping and recovery when having experienced shocks

variable label type unique_values min max median freq_nonmissing freq_missing
health_atr self-reported recovey from shock - average among any shocks in module 12 double 69 1 4 2 2937 427
healthcoping_any Used any health coping strategies double 2 0 1 1 3364 0
healthcoping_total_pos Number of health coping strategies used, positive double 14 0 17 2 3364 0
healthcoping_pos Used positive health coping strategies double 2 0 1 1 3364 0

Composite score: health_atr

Construction of a composite score
variable_name construction item_type number_of_items
health_atr simple average of items 4 categories (1-4), only if experienced 18
List of items for the score
item.number item
1 m12q4_illspouse4
2 m12q4_illchild4
3 m12q4_illmember4
4 m12q4_illself4
5 m12q4_illother4
6 m12q4_foodsecurity4
7 m12q4_foodprices4
8 m12q4_injurychild4
9 m12q4_injuryother4
10 m12q4_unpreg4
11 m12q4_losspreg4
12 m12q4_gbv4
13 m12q4_other4
14 m11q5_spousedeath5
15 m11q5_childdeath5
16 m11q5_otherhousedeath5
17 m11q5_nonhousefamdeath5
18 m11q5_someoneelsedeath5

Composite score: healthcoping_total_pos

Construction of a composite score
variable_name construction item_type number_of_items
healthcoping_total_pos simple sum of items count 19
List of items for the score
item.number item
1 healthcoping_c
2 healthcoping_e
3 healthcoping_h
4 healthcoping_l
5 healthcoping_p
6 healthcoping_q
7 healthcoping_r
8 healthcoping_s
9 healthcoping_t
10 healthcoping_u
11 healthcoping_v
12 healthcoping_w
13 healthcoping_x
14 healthcoping_y
15 healthcoping_aa
16 healthcoping_bb
17 healthcoping_cc
18 healthcoping_dd
19 healthcoping_ee

Constructed variables from Modules 11 & 12 - Impact of and recovery from any shocks

variable label type unique_values min max median freq_nonmissing freq_missing
anyshocks_impact_healthdeath Impact of any shocks regarding health/death in the past 3 months (sum of 18 type double 39 0 54 8 3364 0
all_shocks_impact Impact of any/all shocks in the past 3 months (shocks_impact_select + healthshoc double 71 0 87 13 3364 0
all_atr self-reported recovey from shock - average among any shocks in modules 11 & 12 double 177 1 4 2 3023 341

Composite score: anyshocks_impact_healthdeath

Construction of a composite score
variable_name construction item_type number_of_items
anyshocks_impact_healthdeath simple sum of items 5 categories (1-5), 0 if not experienced 18
List of items for the score
item.number item
1 m12q3_illspouse3
2 m12q3_illchild3
3 m12q3_illmember3
4 m12q3_illself3
5 m12q3_illother3
6 m12q3_foodsecurity3
7 m12q3_foodprices3
8 m12q3_injurychild3
9 m12q3_injuryother3
10 m12q3_unpreg3
11 m12q3_losspreg3
12 m12q3_gbv3
13 m12q3_other3
14 m11q3_spousedeath3s
15 m11q3_childdeath3s
16 m11q3_otherhousedeath3s
17 m11q3_nonhousefamdeath3s
18 m11q3_someoneelsedeath3s

Composite score: all_shocks_impact

Construction of a composite score
variable_name construction item_type number_of_items
all_shocks_impact simple sum of items 5 categories (1-5), 0 if not experienced 51
List of items for the score
item.number item
1 m11q3_excrain3s
2 m11q3_drought3s
3 m11q3_hail3s
4 m11q3_landslide3s
5 m11q3_earthquake3s
6 m11q3_fires3s
7 m11q3_valcano3s
8 m11q3_cropdisease3s
9 m11q3_croppest3s
10 m11q3_livestdisease3s
11 m11q3_humandisease3s
12 m11q3_theftmoney3s
13 m11q3_theftcrops3s
14 m11q3_theftassets3s
15 m11q3_theftlivestock3s
16 m11q3_violencehouse3s
17 m11q3_violencecomm3s
18 m11q3_strikes3s
19 m11q3_rape3s
20 m11q3_conflictfodderanim3s
21 m11q3_conflictwateranim3s
22 m11q3_relocation3s
23 m11q3_insecurity3s
24 m11q3_unavaillivestock3s
25 m11q3_incpriceslivestock3s
26 m11q3_demandlivestock3s
27 m11q3_decpriceslivestock3s
28 m11q3_workaccid3s
29 m11q3_lostland3s
30 m11q3_jobloss3s
31 m11q3_youthunempl3s
32 m11q3_emigrationhouse3s
33 m11q3_divorce3s
34 m12q3_illspouse3
35 m12q3_illchild3
36 m12q3_illmember3
37 m12q3_illself3
38 m12q3_illother3
39 m12q3_foodsecurity3
40 m12q3_foodprices3
41 m12q3_injurychild3
42 m12q3_injuryother3
43 m12q3_unpreg3
44 m12q3_losspreg3
45 m12q3_gbv3
46 m12q3_other3
47 m11q3_spousedeath3s
48 m11q3_childdeath3s
49 m11q3_otherhousedeath3s
50 m11q3_nonhousefamdeath3s
51 m11q3_someoneelsedeath3s

Composite score: all_atr

Construction of a composite score
variable_name construction item_type number_of_items
all_atr simple average of items 4 categories (1-4), only if experienced 51
List of items for the score
item.number item
1 m11q5_excrain4
2 m11q5_drought4
3 m11q5_hail4
4 m11q5_landslide4
5 m11q5_earthquake4
6 m11q5_fires4
7 m11q5_valcano4
8 m11q5_cropdisease4
9 m11q5_croppest4
10 m11q5_livestdisease4
11 m11q5_humandisease4
12 m11q5_theftmoney4
13 m11q5_theftcrops4
14 m11q5_theftassets4
15 m11q5_theftlivestock4
16 m11q5_violencehouse4
17 m11q5_violencecomm4
18 m11q5_strikes4
19 m11q5_rape4
20 m11q5_conflictfodderanim4
21 m11q5_conflictwateranim4
22 m11q5_relocation4
23 m11q5_insecurity4
24 m11q5_unavaillivestock4
25 m11q5_incpriceslivestock4
26 m11q5_demandlivestock4
27 m11q5_decpriceslivestock4
28 m11q5_workaccid4
29 m11q5_lostland4
30 m11q5_jobloss4
31 m11q5_youthunempl4
32 m11q5_emigrationhouse4
33 m11q5_divorce4
34 m12q4_illspouse4
35 m12q4_illchild4
36 m12q4_illmember4
37 m12q4_illself4
38 m12q4_illother4
39 m12q4_foodsecurity4
40 m12q4_foodprices4
41 m12q4_injurychild4
42 m12q4_injuryother4
43 m12q4_unpreg4
44 m12q4_losspreg4
45 m12q4_gbv4
46 m12q4_other4
47 m11q5_spousedeath5
48 m11q5_childdeath5
49 m11q5_otherhousedeath5
50 m11q5_nonhousefamdeath5
51 m11q5_someoneelsedeath5

Constructed variables from Modules 13

variable label type unique_values min max median freq_nonmissing freq_missing
interrup_use_total Impact of interruptions on use of select services (sum of 16 types X 3 interrupt double 33 0 32 5 3364 0
interrup_ability_total Impact of interruptions on ability to access care (sum of 7 types X 3 impact cat double 8 0 7 1 3364 0
interrup_ability_dicho interrup_ability_total>=1 double 2 0 1 1 3364 0
interrup_ability_tri interrup_ability_total: 0, 1, 2+ double 3 0 2 1 3364 0

Composite score: interrup_use_total

Construction of a composite score
variable_name construction item_type number_of_items
interrup_use_total simple sum of items 3 categories (0-2) 16
List of items for the score
item.number item
1 m13q15a
2 m13q16a
3 m13q17a
4 m13q18a
5 m13q19a
6 m13q20a
7 m13q21a
8 m13q22a
9 m13q23a
10 m13q24a
11 m13q25a
12 m13q26a
13 m13q27a
14 m13q28a
15 m13q29a
16 m13q30a

Composite score: interrup_ability_total

Construction of a composite score
variable_name construction item_type number_of_items
interrup_ability_total simple sum of items 3 categories (0-2) 7
List of items for the score
item.number item
1 m13q7
2 m13q8
3 m13q11
4 m13q10
5 m13q9
6 m13q12
7 m13q14

Constructed variables from Modules 14

variable label type unique_values min max median freq_nonmissing freq_missing
assistance_gov received any assistance: government double 2 0 1 0 3364 0
assistance_ngo received any assistance: ngo double 2 0 1 0 3364 0
assistance_fam received any assistance: fam/friends double 2 0 1 0 3364 0
assistance_any received any assistance: giv, ngo, or fam/friends double 2 0 1 0 3364 0
aid_financial received aid, financial double 2 0 1 0 3364 0
aid_foodaid received aid, foodaid double 2 0 1 0 3364 0
aid_foodchild received aid, foodchild double 2 0 1 0 3364 0
aid_medicine received aid, medicine double 2 0 1 0 3364 0
aid_contracept received aid, contracept double 2 0 1 0 3364 0
aid_water received aid, water double 2 0 1 0 3364 0
aid_soap received aid, soap double 2 0 1 0 3364 0
aid_other received aid, other double 2 0 1 0 3364 0
aid_finfood_any received aid: financial, foodaid, OR foodchild double 2 0 1 0 3364 0
aid_finfood_all received aid: financial, foodaid, AND foodchild double 2 0 1 0 3364 0
aid_food_any received aid: foodaid OR foodchild double 2 0 1 0 3364 0
aid_food_all received aid: foodaid AND foodchild double 2 0 1 0 3364 0
aid_total Total number of aid types received (0-8) double 9 0 8 0 3364 0

Composite score: aid_total

Construction of a composite score
variable_name construction item_type number_of_items
aid_total simple sum of items binary (0/1) 8
List of items for the score
item.number item
1 aid_financial
2 aid_foodaid
3 aid_foodchild
4 aid_medicine
5 aid_contracept
6 aid_water
7 aid_soap
8 aid_other

Constructed variables from Modules 15

variable label type unique_values min max median freq_nonmissing freq_missing
ebrfeedsixmo Exclusive breastfeeding under six month of age double 1 0 0 0 3364 0
ebrfeedsixmowater Exclusive breastfeeding under six month of age, excluding water double 2 0 1 0 3364 0
ebrfeedsixmowaterliquids Exclusive breastfeeding under six month of age, excluding water and other liquid double 2 0 1 0 3364 0
mealschild number of solid, semi-solid, or soft foods meals a child had previous day double 9 0 7 0 3363 1
foodgroups number of food groups (sum of 8 food groups) that a child had previous day double 9 0 8 3 3364 0
mddchild5 Minimum Dietary Diversity (5+ food Groups) children 6-23 mo double 3 0 1 0 2576 788
mddchild4 Minimum Dietary Diversity (4+ food Groups) children 6-23 mo double 3 0 1 1 2576 788
mmfall Minimum Meal Frequency children 6-23 mo double 3 0 1 0 2576 788
madall4 Minimum Acceptable Diet (4+ Food groups) & MFF children 6-23 mo double 3 0 1 0 2576 788

NOTE
Among 6-23 month-old children, infant and young child feeding variables are based on WHO definitions. See: https://www.who.int/data/nutrition/nlis/info/infant-and-young-child-feeding#

First, two variables are created:

  • foodgroups: Number of food groups (among the specific 8 groups asked in the survey) a child had during the previous day
  • mealschild: Number of solid, semi-solid, or soft food meals a child had during the previous day

Then, four binary variables are created:

  • Minimum Dietary Diversity (mddchidl5): foodgroups>=5
  • Minimum Dietary Diversity (mddchidl4): foodgroups>=4
  • Minimum Meal Frequency (mmfall)
    — for children 6-8 months, breastfeeding & mealschild>=2
    — for children 9-23 months, mealschild>=3 if breastfeeding OR mealschild >=4 if not breastfeeding
  • Minimum Acceptable Diet (madall4): mddchild4==1 & mmfall==1

Composite score: foodgroups

Construction of a composite score
variable_name construction item_type number_of_items
foodgroups simple sum of items binary (0/1) 8
List of items for the score
item.number item
1 grainstubers
2 legumes
3 dairy
4 flesh
5 eggs
6 vitafoods
7 otherfruitveg
8 breastfed

Constructed variables from Modules 16

We have not conducted exploratory analysis for Module 16, and, thus, there is no constructed variable.

Constructed variables from Modules 17

variable label type unique_values min max median freq_nonmissing freq_missing
foodgroupsmom number of food groups (sum of 7 food groups) that a mom had previous day double 8 0 7 3 3364 0
mddmom5 mddmom5. Minimum Dietary Diversity (5+ Food Groups out of 7) - All caregivers double 2 0 1 0 3364 0

Composite score: foodgroupsmom

Construction of a composite score
variable_name construction item_type number_of_items
foodgroupsmom simple sum of items binary (0/1) 7
List of items for the score
item.number item
1 grainsmom
2 pulsesmom
3 dairymom
4 fleshmom
5 eggsmom
6 vitafoodsmom
7 vegmom

Constructed variables from Modules 18

variable label type unique_values min max median freq_nonmissing freq_missing
hfiasindex Household Food Insecurity Access Scale (0-27) (higher, worse) double 28 0 27 10 3364 0
hfiacat HFIAS category (based on specific responses in each item) double 4 1 4 4 3364 0
hfiacattest HFIAS category, alternative (based on hfiasindex) double 4 1 4 2 3364 0

NOTE
Classification of HFIA, hfiacat, is based on Table 5 in: https://www.fantaproject.org/sites/default/files/resources/HFIAS_ENG_v3_Aug07.pdf.

  • It is not based the HFIA scale, but specific responses to each of the 9 questions.
  • It is “designed to ensure that a household’s set of responses will place them in a single, unique category.”

Composite score: hfiasindex

Construction of a composite score
variable_name construction item_type number_of_items
hfiasindex simple sum of items 4 categories (0-3) 9
List of items for the score
item.number item
1 m18q1_often
2 m18q2_often
3 m18q3_often
4 m18q4_often
5 m18q5_often
6 m18q6_often
7 m18q7_often
8 m18q8_often
9 m18q9_often

Annex 1: Sample design and sampling weight

Sample design

Round 1: Baseline (August-September, 2023)

  • Study population: women with an infant (0-11 months old) in the study area - “the health facility catchment areas of the 70 [project] supported health facilities across eight Health Zones (equivalent to districts) in North Kivu”
  • Eligible women: women with an infant (0-11 months old)
  • Target sample size: From the baseline report pages 7-8: “Using three nutrition indicators from the research questions listed above, multiple sample size calculations (see formula below) were conducted (see Table 1). These calculations use estimates from the recent KAP survey in North Kivu (see [project] Household Nutrition Survey). Calculations assume a design effect of 2, power of 80%, and alpha=.05 for a one-sided test. Based on the most conservative estimate, approximately 1306 households are needed to detect a difference of 5 percentage points in minimum dietary diversity among children under one year of age over the course of the project (12 months). In order to account for attrition from the baseline sample, the baseline household sample size will be inflated by 20% to account for attrition over the RMS sampling periods, which results in a final sample size of 1567 households.”
  • Two-stage cluster design: 64 clusters were selected using probability proportional to size (pps) sampling, with a take size of 25 per cluster, to achieve the target sample size. In each sampled cluster, 25 households with at least one eligible woman were ‘randomly’ [TBC] selected. If there were more than one eligible woman in a sampled household, only one woman was ‘randomly’ [TBC] selected and interviewed. In total, 1616 women from 64 clusters were interviewed.
  • Response rate: ?

Round 2 (March, 2024)

  • Round 2 aimed to follow-up only 900 women in Round 1. Initially 36 clusters were ‘randomly’ [TBC] selected with an aim to interview all women in the cluster. Considering expected lost to follow-up (LTFU), however, replacement clusters were pre-selected as well, and women in the replacement clusters were interviewed as needed. ‘Women were interviewed even if they out-migrated from their Round 1 clusters as long as they reside in the study area.’ [TBC] In total, 900 women from 48 Round 1 clusters were interviewed.
  • Background characteristics are comparable between those who were followed-up vs. not (results not shown here).
  • Follow-up rate: ?
  • Response rate: ?

Round 3 (August-September, 2024)

  • Round 3 aimed to follow-up all women in Round 2. In total, 848 women were re-interviewed.
  • Follow-up and response rate: 94% (848 / 900)

Sampling weight calculation

Sampling weight was calculated in Round 1, to address the two-stage PPS cluster sampling method. Since Round 2 cluster selection was random (and background characteristics were comparable between those who were followed-up vs. not), we did not calculate separate sampling weight for Round 2. Use of the Round 1 sampling weight across all rounds should be acceptable for most analysis/research questions that address (causal/non-causal) relationships.