Building Career Ladders for the Working Poor Through Literacy Training
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Building Career Ladders for the Working Poor Through Literacy Training Introduction Authors Lee Bruno Using U.S. Census Bureau data, the U.S. Bureau of Labor Statistics (BLS) determined that 7.1 million workers were living at or below the official poverty level in 2007, which Ying Jin Dwayne Norris represented 5.1 percent of the total workforce (U.S. Department of Labor [DOL], 2009). The Working Poor Families Project, funded by the Annie E. Casey, Ford, and Joyce and American Institutes for Research Mott foundations, claims that 25 percent of working families can be considered low income; and, an income level of twice the poverty income was the criterion for working July 2010 poor (Waldron, Roberts, & Reamer, 2004). Although the operational definitions of “poor” and “working” vary, both the Census Bureau and the Working Poor Families Project Contents document that a willingness to work hard does not equate to a living wage. Beyond the Introduction.......................... 1 implications this situation has for the welfare of the working poor and their families, having such a significant share of the Nation’s workforce permanently attached to a Working Poor Compared With Other Workers............ 2 minimally valued job poses a threat to the Nation’s ability to provide a workforce for 21st Demographic and century high-growth industries. The working poor make up a pool of invisible talent that Socioeconomic Comparisons.. 2 could be the basis for a revitalized workforce that fills high-demand jobs in energy, health, Prose and Quantitative technology, and science sectors of the economy. Literacy Levels ........................ 3 Literacy and Occupations ...... 4 In a sense, the working poor might be considered invisible because social safety nets are designed for the unemployed person or the person who meets poverty guidelines. At the Literacy’s Role in Career same time, the working poor are an overlooked talent pool that demonstrates through Ladders ................................. 4 individual work histories the essential soft skills that are important for all jobs. Further, the NAAL Data’s Implications working poor demonstrate the employability skills needed to find jobs and meet an for Literacy Training........... 6 employer’s behavioral expectations to sustain employment. Need for Literacy Assessment Tools..................... 8 So what accounts for the working poor’s inability to hold jobs with higher salaries, The Working Poor as a especially jobs that are in high-growth industries? Using data collected from the 2003 Target Group........................... 8 National Assessment of Adult Literacy (NAAL),1 this report compares workers who Changes in How Postsecondary Schools reported an average weekly wage that, if they were employed full time, was less than 2 Approach Literacy Training.. 8 125 percent of official poverty levels for a family of three1 with workers whose hourly wages translate into incomes greater than 125 percent of official poverty levels for a family Summary............................... 9 of three. All workers represented in the NAAL study are thus divided into the working poor References............................. 9 and the working nonpoor—or “other workers,” for the purposes of this report. Under Appendix A: Methodology contract to the DOL’s Employment and Training Administration (ETA), the American and Technical Notes......... A-1 Institutes for Research (AIR) has used the NAAL data, from a sample of 9,296 workers, to The 2003 NAAL address the following research questions: Assessment ...........................A-1 Descriptions of Background What distinguishes the working poor from other workers? Variables ..............................A-1 What are the literacy requirements that pose barriers to occupations that would lift Statistical Procedures .........A-2 poor workers to “other” worker status? Linking Occupational 3 Information Network How can ETA’s workforce investment system3 best address the literacy barriers to Occupation Descriptors to the upward mobility of the working poor? NAAL Literacy Scales ........A-2 A detailed description of background variables and methodology used in this report is provided in Appendix A: Methodology and Technical Notes. 1 The 2003 NAAL study (http://nces.ed.gov/naal/) provided information on the literacy proficiency of nearly 18,000 adults, 16 years of age or older. See the appendix of this report for a description of the study. For an interpretation of the literacy scales and performance levels on the NAAL assessment, see Kutner et al. (2007). 2This is the income requirement for immigrants imposed by the U.S. Immigration and Naturalization Service (INS), which is less restrictive than the Federal poverty guidelines. (INS 2009). 3 http://www.doleta.gov/etainfo/wrksys/WIMission 1 Working Poor Compared With Other Workers age, gender, nativity status, schooling, labor force status, household income), along with their practices for gaining Demographic and Socioeconomic Comparisons information. Table 1 compares age, sex, race/ethnicity, native language, and educational attainment of the working In addition to assessing the literacy skills of respondents, poor with those of other workers and the general the NAAL gathered extensive background information on population of NAAL respondents4 their demographic and socioeconomic characteristics (e.g., Table 1. Percentage distribution of working poor, other workers, and the general population across demographic and socioeconomic characteristics Characteristic Working poor % Working nonpoor % General population % Age 18–24 years 31* ** 8 14 25–39 years 29* 38 28 40–49 years 19* 28 21 50–64 years 15* ** 24 22 65+ years 6* ** 2 16 Sex Female 60* ** 40 52 Male 41* ** 60 48 Race/ethnicity White 62* ** 74 71 Black 13* 10 11 Hispanic 19* ** 11 12 Other 6 5 6 Language spoken before school English only 76* ** 83 81 English and Spanish (with or without other) 2 2 2 English and other 3 4 4 Spanish only or with other 4* ** 7 8 Other only 4 5 5 Educational attainment 0–8 years 7* 2 6 9–12 years 11* ** 6 9 GED/equivalency 8* ** 4 5 H.S. grad 30* ** 22 27 Vocational degree 6 6 6 Some college 13 13 12 A.A./2 years of studies 13 14 12 College graduate 7* ** 17 12 Graduate studies/degree 4* ** 17 11 * Significantly different from other workers at the significance level of 0.05. ** Significantly different from the general population at the significance level of 0.05. Note: Percentages may not sum to 100% because of rounding. Age. There was a marked difference between the number Sex. The number of females among the working poor of youth 18–24 years of age among the working poor (60 percent) and the general population (52 percent) was (31 percent) compared with other workers (8 percent), greater than among other workers (40 percent). This suggesting that income may influence whether youth difference may have resulted from two intertwining entered the workforce rather than postsecondary education factors—gender wage gaps and the higher probability that and training. In no other respect was age a feature that women will be single heads of families. Women earn distinguished the two groups of workers. about 80 percent of what men earn for similar types of jobs (Institute for Women’s Policy Research, 2009). 4 Many of the background variables examined in this report are based on self-reported data, and because they are also related to one another, complex interactions and relationships among them cannot be explored. Therefore, readers are cautioned not to draw causal inferences on the sole basis of the results presented here. 2 Women also bear the greater responsibility for rearing of the working poor graduated from high school including children when families break up. According to another those with General Education Development (GEDs). With report by the Institute for Women’s Policy Research, the exception of college degree attainment, the working 56 percent of all low-income working mothers are single poor in the NAAL sample were very similar to other mothers and are more likely to have younger children than workers and the general population. higher income mothers (Lee, 2007). Prose and Quantitative Literacy Levels Race/ethnicity. The working poor were more likely to be white (60 percent) or Hispanic (19 percent) than any other The NAAL measured respondents’ proficiencies on three race; however, Hispanic workers were overrepresented literacy scales: prose, document, and quantitative. For among the working poor and white workers were each, proficiency was measured on a scale that ranged underrepresented. It is important to note that the NAAL from 0 to 500. Scores on each of the three literacy scales found that Spanish-only speakers were significant were characterized in terms of four literacy proficiency segments of the working poor, as well, and were also levels: Below Basic, Basic, Intermediate, and Proficient. overrepresented among the working poor. Given the scope of this report and the high correlation between prose and document literacy, the analyses in this Educational attainment. Not surprisingly, the working section focus on the prose and quantitative literacy scales poor were less likely to attain college degrees than other only. workers or the general population; however, the working poor generally matched the educational experience of the Average prose and quantitative scores. Table 2 is a general population through high school but then dropped comparison of the NAAL prose and quantitative literacy of behind other workers and