Labor Force Gender Index


ITEMS:

CATEGORIES:


GEOGRAPHIES TESTED:
India
United States

POPULATIONS INCLUDED:
Female
Male

AGE RANGE:
Adults
Children

SAMPLE SIZE:
Sample size info

Scoring Procedures:

Responsibility for Caring for Children: Response options are recoded as follows:

0=no reduction in labor market participation due to personal or family responsibilities;
1=part or full week absence due to personal or family responsibilities; and
2= working part-time due to personal or family responsibilities.

Occupational Segregation: The 47 occupations are reclassified into 4 groups using occupational data from the 1997 Labor Force Survey:

0=occupations where less than 26% of workers were women;
1=occupations where 26 to 50% of workers were women;
2=occupations where 51 to 74% of workers were women;
3=occupations where 75% or more of workers were women.

Hours of Work Relative to Partner of Spouse: Open-ended numerical responses are grouped into the following 4 categories:

0= respondent working, but spouse not in the labor force;
1=respondent working more hours than their spouse;
2=respondent working the same number of hours as their spouse; and
3=respondent working less hours than their spouse.
Respondents not currently living with a spouse are grouped with respondents working more hours than their spouse.

Education Relative to Partner or Spouse: Responses are coded into the following 3 categories:

0=respondents with a higher level of education than their spouse;
1=respondents with the same level of education as their spouse; and
2=respondents with a lower level of education than their spouse.
Respondents without a spouse are grouped with respondents with a higher level of education than their spouse.

LFGI Score: To calculate the final LFGI score, the values from each of the 4 categories are summed, resulting in a score ranging between 0 and 10 for each respondent. Higher scores indicate more traditionally feminine gender labor market roles and lower scores indicate more traditionally masculine gender labor market roles.

Primary Citation: Smith, P. M. & Koehoorn, M. (2016). Measuring gender when you don’t have a gender measure: Constructing a gender index using survey data. International Journal for Equity in Health, 15 (82), 1-9. doi: 10.1186/s12939-016-0370-4.

Pyschometric Score:

FORMATIVE RESEARCH

 Qualitative Research

 Existing Literature/Theoretical Framework

 Field Expert Input

 Cognitive Interviews / Pilot Testing

RELIABILITY

 Internal

 Test-retest

 Interrater

VALIDITY

 Content (Face)

 Criterion

 Construct


Total Score: 2.5/7 Points (MEDIUM) 

For more details, see Scoring Methodology

KEY

 FULL POINTS
 PARTIAL POINTS
 NOT ASSESSED
 NOT APPLICABLE
 

Citation Frequency

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