Social Environment Notebook
Social Environment Notebook Table of Contents
- Economic Status
- Occupational Status
- Educational Status
- Physical Work
- Workplace Social Environment
- Income Inequality
- Residential Segregation
- Physical Environment
- Social Capital
- Measuring Sources of
Stress in the Environment - Measuring Aspects of the Environment Related to Physical Activity
- Measuring Aspects of the Environment Related to Availability and Accessibility
of Healthy Foods - Childhood Chaos and Socioeconomic Status
Sociodemographic Questionnaire
Childhood Chaos and Socioeconomic Status
Supplementary Results Summary Tables. Evans, G.W., Eckenrode, J., & Marcynyszyn, L. (2009). Poverty and chaos. In G.W. Evans & T.D. Wachs (Eds.). Chaos and children's development: Levels of analysis and mechanisms. Washington, DC: American Psychological Association.
Chapter Contents
- Table 1 Crowding
- Table 2 Noise
- Table 3 Routines and Rituals
- Table 4 Residential Relocation
- Table 5 School Relocation
- Table 6 Maternal Partner Changes
- Table 7 Composite Measures of Chaos
- References
Table 1 Crowding
| Author | Sample | SES Index | Chaos Measure | Findings |
| Mitchell (1971) | 1500 Hong Kong households with children, heterogeneous | Income quartile | square ft. | 22|10% of low|high income families have < 20 sq ft/per. |
| Davie et al. (1972) | 10,000 UK representative sample families with 7-year-old | Occupation | > 1.5 person/room | 37|1% lowest|highest class |
| Light (1973) | 1520 US households with children | Income | share home with non-family members | r = -.32 |
| Rutter et al. (1974) | 239 London households with 10 year old, half in poor and half in working class area | SES | > 1 person/room or ≥ 4 children | 50|20% in poor|working class areas |
| Booth & Edwards (1976) | 560 Toronto households with children, high density households over sampled | Occupation Education |
person/room | r = -.25 r = -.23 |
| Gove & Huges (1983) | 1582 Chicago households (776 with one or more children) | Income Education |
person/room | r = -.15 r = -.10 |
| Wachs & Chan (1986) | 48, 12 month olds, heterogeneous | SES | person/room | r = -.26 |
| Mayer & Jencks (1989) | 1617 non-Hispanic Chicago households heterogeneous | < 1 ≥ income to needs | > 1 person/room | 25%|11% |
| Goduka et al. (1992) | 300, 5-6 year old rural black children in South Africa, heterogeneous | Occupation Education |
person/room | r = -.63 r = -.55 |
| Fuller et al. (1993) | 2017 low and middle class with children in Bangkok | Income Education |
person/room | r = -.34 r = -.25 |
| Liaw & Brooks-Gunn (1994) | 704, 36 month olds, premature & low birth weight babies, heterogeneous | ≤ 1.5 > income to needs | > 2 child/adult ratio | 26%|7% |
| Children's Defense Fund (1995) | National sample of households with children | ≤ 1 > income to needs | > 1 person/room | 30%|9% |
| Federman et al. (1996) | ˜ 50,000 representative US households | ≤ 1 > income to needs | > 1 person/room | 19%|4% |
| Myers et al. (1996) | 1% representative sample of US census | Household income/median for state | > 1 person/room | low income 8% mid income 5% high income 1% |
| Mayer (1997) | ˜ 40,000 representative sample of US households, 1985-1989 | Income | > 1 person/room | lowest decile 19% 2nd decile 23% third quintile 11% fifth quintile 5% |
| Evans et al. (1998) | 281 low and middle income 10-12 years, urban India | Income | person/room | r = -.53 |
| National Center for Education Statistics (2000) | 903 representative sample of US elementary and secondary schools | % eligible free/subsidized lunch | > 125% building capacity | > 70% eligible 6% |
| Conley (2001) | 2686 representative sample of US households with children | Income | ≥ 1 < person/room | Odds Ratio = -.95 |
| Evans et al. (2002) | 1154 working and middle class 9-10 years in Austria | Education | person/room | r = -.14 |
| Evans & English (2002) | 270, 8-10 years, half below poverty line, half 2-4 times poverty line | Poverty/Middle-income | person/room | r = -.35 |
| Kantrowitz & Evans (2004) | 21 preschool children, heterogeneous | Income/Education | children/activity area in daycare ctr. | r = -.39 r = -.39 |
| Evans et al. (2008) | 80, 36 months, low and middle income | Income | person/room | r = -.42 |
| ˜ 10,000 36 months, UK representative sample | Income | person/room | r = -.41 |
Note. Income-to-needs is the ratio of household income to the federal poverty line which is based on family size and composition. An income-to-needs ratio of 1.0 is the Federal Poverty Line, adjusted annually for the cost of living index.
Table 2 Noise
| Author | Sample | SES Index | Chaos Measure | Findings |
| Cohen et al. (1973) | 73, 2nd-5th graders in one apartment building over a major thruway, middle and upper middle class | Education | Noise Level (floor level) | r = -.41 |
| EPA (1977) | ˜ 2000 adults in 7 major metropolitan areas, heterogeneous | Income | Community Noise levels in decibels | r = -.61 |
| Heft (1979) | 94 kindergarten, lower and middle income | Income | Trained Rater of sound levels | r = -.14 |
| Homel & Burns (1987) | 321, 9-11 years in 18 neighborhoods varying in SES | Neighborhood SES | Child ratings of noise, dirt, pollution | Low risk .15 High risk .40 |
| Evans et al. (2001) | 115, 4th graders, Austria homogeneous | Education | Community Noise (< 50 decibels > 60) | 2.50|2.44 (1= < HS - 5=Grad school) |
| Evans & English (2002) | 270 8-10 year olds; half below poverty line, half middle income | Income | Indoor Noise Levels in decibels | r = -.24 |
Table 3 Routines and Rituals
| Author | Sample | SES Index | Chaos Measure | Findings |
| Boyce et al. (1977) | 58 preschool and elementary school children | Income | Family Routine Inventory (self-report of household activities such as meals, bed time) | r = -.47 |
| Jensen et al. (1983) | 307 families with child in home, income and education heterogeneous | Income Education |
Family Routine Inventory | r = .14 r = .03 |
| Sprunger et al. (1985) | 285 families of infants, income and education heterogeneous | Income Education |
Family Routine Inventory | r = .16 r = .09 |
| Fiese (1992) | 241 undergraduates, middle and upper middle class | Social Class | Family Rituals Questionnaire (self-reports of family rituals and frequency occurrence) | r = ns |
| Fiese & Kline (1993) | 214 undergraduates, middle and upper middle class | Social Class | Family Rituals Questionnaire | r < .10 |
| Fiese et al. (1993) | 115 infants & preschoolers, middle and upper middle class | Social Class | Family Rituals Questionnaire | r < .10 |
| Henry & Lovelace (1995) | 95 high school students with remarried parent middle and upper middle class | Education Occupation |
Family Time & Routines (self reports of household activities) Family Celebration Index (self reports of celebration rituals) |
r = .07 r = .01 r = .26 r = .10 |
| Brody & Flor (1997) | 156 African American 6-9 year-olds predominantly low income | Perceived Financial Resources | Family Routine Inventory | r = .20 |
| Kleiwer & Kung (1998) | 99 African American 8-12 year-olds predominantly low income | Education | Family Routine Inventory | r = .37 |
| Bradley et al. (2001) | 29,000 3-15 year-olds, US representative sample | Below/Above Poverty Line | ≥ 1 Daily meal with parents | 3-6 yrs 54/70% 6-10 46/63% 10-15 42/57% |
| Lareau (2002) | 88 3rd grade, heterogeneous | Occupation | Organized Leisure Activities/Week |
Middle Class 4.9 Working Class 2.5 Poor 1.5 |
| Britto et al. (2002) | 1,270, 12-36 month-olds, heterogeneous | Education Employment |
Regularity of meal, nap, bed time | HS Grad/Not HS 8|44% Employed/Unemployed 53|43% |
| Seaton & Taylor (2003) | 164, predominantly low-income African American mothers of adolescents | Perceived Financial Resources | Family Routine Inventory | r = .14 |
| Crouter et al. (2004) | 192 dual earner families with adolescent and siblings, working and middle class | Education Income |
Total Family Time Together Meal Times Together |
r = -.04 r = -.15 r = -.03 r = -.11 |
| Fiese et al. (2005) | 133 asthmatic children, heterogeneous | Social Class | Medication Routines Burden of Maintaining Routines |
r = ns r = -.33 |
| Gershoff et al. (2007) | ˜ 20,000 kindergarten, nationally representative, heterogeneous | Income | Meal and bedtime routines, Rules re: TV watching | r = .07 |
Note. NS = not statistically significant (value not given).
Table 4 Residential Relocation
| Author | Sample | SES Index | Chaos Measure | Findings |
| Mayer & Jencks (1989) | 1617 non-Hispanic Chicago households heterogeneous | < 1 ≥ 1 income to needs | evicted past 2 years | 2%|.6% |
| Long (1992) | ˜ 17,000 3-17 year-olds, national US sample, heterogeneous | < poverty line < high school |
life time moves < = > the mean for age |
10%|18%|24% 18%|21%|26% |
| Wood et al. (1993) | ˜ 10,000 6-17 year olds, national US sample, heterogeneous | ≤ 1 > income to needs Education Unemployed|Employed |
≥ 6 moves in lifetime | 15%|9% < High School 13% Some College 9% 16%|10% |
| Simpson & Fowler (1994) | ˜ 10,000 1-12th graders, national US sample, heterogeneous | < poverty line > < high school > high school |
life time moves | 48%|37% 46% 38% |
| Astone & Mclanahan (1994) | ˜ 10,000 10th graders, national US sample, heterogeneous | SES | 0,1, 2 ≥ 3 moves 5th-10th grade |
b = -.11 ≥ 3 moves vs. 0 |
| Fergusson et al. (1994) | longitudinal study of ˜ 1000 children birth to age 15, heterogeneous | family income occupation (prof - unskilled/unemployed) |
life time moves | r = -.18 r = .22 |
| Federman et al. (1996) | ˜ 50,000 representative US households heterogeneous | ≤ 1 > income to needs | evicted in past year | 2%|.4% |
| Ennett et al. (1997) | 36 elementary schools, heterogeneous | census income & % < 1 income to needs & % hs drop | neighborhood mobility (% change in 5 years & out % renter households) | r = .16 |
| Kohen et al. (1998) | 11,378 Canadian 5-11 year-olds, heterogeneous | Income < high school > high school |
0, 1-2, ≥ 3 life time moves |
53,520|52,261| 41,497 4%|16%|20% 67%|65%|61% |
| Rumberger & Larson (1998) | 11,671 eighth graders, US representative sample | SES (bottom/top 25%) |
move within 4 year period | 49%|28% |
| Ackerman et al. (2002) | 139 1st and 3rd grade, predominantly low-income, African American | Income Education |
life time moves | r = .18 r = .11 |
| Adam & Chase Lansdale (2002) | 267 African American female 15-18 years, predominantly low income | Welfare Income Education |
moves last 5 years | r = .11 r = -.07 r = -.08 |
| Herrenkohl et al. (2003) | 212 adolescents, heterogeneous | SES | life time moves | r = -.35 |
| US Census (2004) | US national data, heterogeneous | Income ≤ 1 > income to needs |
moved within last year | < 25K 19% 25-49K 15% 50-99K 12% ≥ 100K 10% 4%|13% |
| Hoglund & Leadbetter (2004) | 423 six year-olds, heterogeneous | proportion of students in school receiving free or subsidized lunches Education |
life time moves | r = .19 r = -.15 |
| Gilman (2007) | 2913 seven year-olds, Rhode Island families, heterogeneous | SES | birth - age 7 | r = -.21 |
| Gershoff et al. (2007) | ˜ 20,000 kindergarten, nationally representative, heterogeneous | Income | life time moves Rules re: TV watching |
r = -.18 |
Table 5 School Relocation
| Author | Sample | SES Index | Chaos Measure | Findings |
| Rutter et al. (1974) | 127 low-income; 132 working class | London borough | inner city | Proportion children changing one year Proportion teachers changing one year |
3%|26% 7%|11% |
| GAO (1994) Office (1994) |
˜ 15,000 3rd graders, US representative sample | Income | ≥ 3 changes in schools | < 10K 30% > 25K 10% Inner city 25% Sub|rural 15% |
| Fergusson et al. (1994) | longitudinal study of ˜ 1000 children birth to age 15, heterogeneous | family income occupation (prof - unskilled/unemployed) | total number of schools | r = -.13 r = .11 |
| Eckenrode et al. (1995) | 726 5-15 year-olds, half of sample were documented abuse cases, 67% of all families welfare recipients at some point | Combined index of residential and non-normative school changes | total number of schools | r = .22 |
| Mehna & Reynolds (1995) | 988 urban, African-American 6th graders, low-income sample | Subsidized lunch 1=full, 2=partial, 3=none | Moves K - 5th grade | B = -.15 |
| Kerbow (1996) | ˜ 14,000 sixth graders, Chicago schools, heterogeneous | Median income Subsidized lunch | School changes in 2 year period (0|> 4) | 26,898|$22,565 78%|65% |
| National Center for Education Statistics (1996) | ˜ 25,000 eighth graders, US representative sample | 0-5 % vs. 40% of school eligible for govt. subsidized lunch | Two or more school changes since first grade other than from elementary to middle school. | 31%|38% |
| Alexander et al. (2001) | 767 first graders, Baltimore, heretogeneous | % subsidized meals | Within district moves over 5 year period 0|1|> 2 moves | 65%|77%|88% |
| Nelson et al. (2001) | ˜ 2,500 predominantly poor, urban African-American and Latino K and first graders | Single/two parent ≥ 90% in school eligible for free lunch|other schools | changed school in 3 years | 65%|41% 39%|33% |
| Kohen et al. (1998) | 11,378 Canadian 5-11 year olds, heterogeneous | Income < high school > high school |
c0, 1-2, ≥ 3 school changes |
51,444|47,251|38,192 15%|19%|25% 65%|64%|62% |
| Rumberger & Larson (1998) | 11,671 eighth graders, US representative sample | SES (bottom/top 25%) |
Non-normative school changes in 4 year period | 32%|24% |
| Wright (1999) | ˜ 3,000 3rd-4th graders, US midwest, heterogeneous | Free or reduced lunch eligibility/No eligibility | One or more changes in one year | 0%|31% |
| Rumberger & Thomas (2000) | 7,642 tenth graders, US rep sample | SES | Change in 2 year period | High SES 13% less than Middle & 26% less than Low SES |
| Herrenkohl et al. (2003) | 212 adolescents, heterogeneous | SES | Lifetime school changes | r = -.34 |
| Public Policy Research Institute of California (2003) | 17 high schools, San Diego, CA | Hi/Lo quintile free or reduced lunch eligbility | High school | 6%|2% |
| Schafft (2005) | 277 elementary school districts upstate NY, heterogeneous | Bottom and top third based on school lunch subsidies | Student transfers New admissions |
7.2%|4.5% 7.8%|4.3% |
Table 6 Maternal Partner Changes
| Author | Sample | SES Index | Chaos Measure | Findings |
| Guidubaldi et al. (1986) | 699 first-fifth graders, heterogeneous half from divorced families | Median Income | Divorced|Not Divorced | 10-15K|25-30K |
| Reid (1989) | UK census data, heterogeneous | SES | Divorce/1000 husbands | Unskilled 30 Professional 7 |
| Capaldi & Patterson (1991) | 206 4th grade boys, predominantly low-income | Per capita income Low SES |
> 2 < maternal partner changes | $2700|$5351 28.5/34.2 |
| Sandefur et al. (1992) | ˜ 5,000 14-17 year olds, heterogeneous | Per capita income | Intact vs. Single Remarried |
-$5,000 -$2,000 |
| Fergusson et al. (1994) | longitudinal study of ˜ 1000 children birth to age 15, heterogeneous | family income occupation (prof - unskilled/unemployed) |
total number of parental changes | r = -. 29 r = .26 |
| Aquilino (1996) | 540 19-34 year olds, single family households | Education | ≥ 3 partner changes | < High School 30% High School 49% Some College 21% |
| National Statistics (1997) | ˜ 9,000 British adults, heterogeneous | Per capita income change 1991-1995 ≥ 2 decile drop stable decile ≥ 2 decile gain |
Maternal partner change | 47% 39% 14% |
| Kiernan & Mueller (1999) | ˜ 26,000 British households, heterogeneous¹ | Hourly wages (£) Unemploy|Employ Welfare|No welfare |
Divorce|Married | 5.86|6.57 12%|5% 34%|5% |
| Evans (2004) | US Census of families with children, heterogeneous | Income Quintiles | Divorce | Lowest Quint. 25.4% Highest Quint. 5.7% |
| Cavanagh & Huston (2006) | 982 third graders, heterogeneous | < Poverty Line > | Maternal partner changes ≥ 3 (birth-third grade) |
25%|5% |
| Osborne & Mclanahan (2007) | 2000 3 year-olds, heterogeneous | < Poverty Line > | Maternal partner changes 0 in child's lifetime ≥ 3 (birth-third grade) |
39%|59% 20%|9% |
¹Subsample of parents ages 25-39 with children. Similar data on parents ages 40-59.
Table 7 Composite Measures of Chaos
| Author | Sample | SES Index | Chaos Measure | Findings |
| Matheny et al. (1995) | 123 middle class infants & toddlers, homogenous | Occupation Education |
CHAOS Scale (crowding, noise, confusion) | r = -.24 r = -.11 |
| Moore et al. (2000) | ˜ 40,000 families of 6-17 year-olds representative US | Income to needs | Turbulence (> 2 of following in 1 year: residential chg., move to new state, move to new fam., ≥ 2 parent jobs, ≥ 2 school chg, sig. fam hlth prob.) | ≤ 1 13% 1.5-2 7% > 3 3% |
| Asbury et al. (2005) | 1,900 4 year-old twins, representative UK sample | SES | CHAOS Scale | r = -.27 |
| Dumas et al. (2005) | 106 kindergarten, heterogeneous 676 third graders, homogeneous |
Education Education Income |
CHAOS Scale | r = -.28 r = -.16 r = .09 |
| Evans et al. (2005) | 223, 12-14 years, heterogeneous | Income to needs | CHAOS Scale | r = -.30 |
| Pike et al. (2006) | 5765 families of twins, UK | SES | CHAOS Scale | r = -.28 |
| Hart et al. (2007) | 211 twin pairs, K-second grade | Education | CHAOS Scale | r = -.21 |
| Marcynyszyn et al. (in press) | 141 fifteen year-olds, predominantly low & lower middle class mothers of 225 12-14 year-olds, heterogeneous |
Income to needs Education Income to needs Education |
Instability (residential chg., school chg., partner chg., work hr. chg). Instability |
r = -.25 r = .02 r = -.40 r = .18 |
References
Ackerman, B. P., Brown, E. D., D'Eramo, K. S., & Izard, C. E. (2002). Maternal relationship instability and the school behavior of children from disadvantaged families. Developmental Psychology, 38, 694-704.
Adam, E. K., & Chase-Lansdale, P. L. (2002). Home sweet home(s): Parental separations, residential moves, and adjustment problems in low-income adolescent girls. Developmental Psychology, 38, 792-805.
Alexander, K. L., Entwisle, D. R., & Dauber, S. L. (2001). Children in motion: School transfers and elementary school performance. Journal of Educational Research, 95, 3-12.
Aquilino, W. S. (1996). The life course of children born to unmarried mothers: Childhood living arrangements and young adult outcomes. Journal of Marriage and Family, 58, 293-310.
Asbury, K., Wachs, T., & Plomin, R. (2005). Environmental moderators of genetic influence on verbal and nonverbal abilities in early childhood. Intelligence, 33, 643-661.
Astone, N. M., & Mclanahan, S. S. (1994). Family structure, residential mobility, and school dropout: A research note. Demography, 31, 575-584.
Booth, A. (1976). Urban crowding and its consequences. New York: Praeger.
Booth, A., & Edwards, J. N. (1976). Crowding and family relations. American Sociological Review, 41, 308-321.
Boyce, W. T., Jensen, E. W., Cassel, J. D., Collier, A. M., Smith, A. H., & Ramey, C. T. (1977). Influence of life events and family routines on childhood respiratory tract illnesses. Pediatrics, 60, 609-615.
Bradley, R. H., Corwyn, R. F., McAdoo, H. P., & Garcia-Coll, C. (2001). The home environments of children in the United States Part I: Variations by age, ethnicity, and poverty status. Child Development, 72, 1844-1867.
Britto, P. R., Fuligni, A. S., & Brooks-Gunn, J. (2002). Reading, rhymes, and routines: American parents and their young children. In N. Halfon (Ed.), Childrearing in America (pp. 117-145). New York: Cambridge University Press.
Brody, G. H., & Flor, D. L. (1997). Maternal psychological functioning, family processes, and child adjustment in rural, single-parent, African American families. Developmental Psychology, 33, 1000-1011.
California, P. P. R. I. o. (2003). New insights into school and classroom factors affecting student achievement. San Francisco, CA: Public Policy Institute of California.
Capaldi, D. M., & Patterson, G. R. (1991). Relation of parental transitions to boys' adjustment problems: I. A linear hypothesis. II. Mothers at risk for transitions and unskilled parenting. Developmental Psychology, 27, 489-504.
Cavanagh, S. E., & Huston, A. C. (2006). Family instability and children's early problem behavior. Social Forces, 85, 551-581. [Additional information provided by authors].
Children's Defense Fund (1995). The state of America's children yearbook 1995. Washington, DC: Children's Defense Fund.
Cohen, S., Glass, D. C., & Singer, J. E. (1973). Apartment noise, auditory discrimination, and reading ability in children. Journal of Experimental Social Psychology, 9, 407-422.
Conley, D. (2001). A room with a view or a room of one's own? Housing and social stratification. Sociological Forum, 16, 263-280.
Crouter, A. C., Head, M. R., McHale, S. M., & Tucker, C. J. (2004). Family time and the psychosocial adjustment of adolescent siblings and their parents. Journal of Marriage and Family, 66, 147-162.
Davie, R., Butler, N., & Goldstein, H. (1972). From birth to seven: the second report of the national child development study London: The National Children's Bureau.
Dumas, J. E., Nissley, J., Nordstrom, A., Smith, E. P., Prinz, R. J., & Levine, D. W. (2005). Home chaos: Sociodemographic, parenting, interactional, and child correlates. Journal of Clinical Child and Adolescent Psychology, 34, 93-104.
Eckenrode, J., Rowe, E., Laird, M., & Brathwaite, J. (1995). Mobility as a predictor of the effects of child maltreatment on academic performance. Child Development, 66, 1130-1142.
Ennett, S. T., Flewelling, R. L., Lindrooth, R. C., & Norton, E. C. (1997). School and neighborhood characteristics associated with school rates of alcohol, cigarette, and marijuana use. Journal of Health and Social Behavior, 38, 55-71.
EPA. (1977). The urban noise survey (No. EPA 550/9-77-100). Washington, DC.
Evans, G, W., Lepore, S, Shejwal, B, et al. (1998). Chronic residential crowding and children's well being: An ecological perspective. Child Development, 69, 1514-1523.
Evans, G. W. (2004). The environment of childhood poverty. American Psychologist, 59, 77-92.
Evans, G. W., & English, K. (2002). The environment of poverty: Multiple stressor exposure, psychophysiological stress, and socioemotional adjustment. Child Development, 73, 1238-1248.
Evans, G. W., Gonnella, C., Marcynyszyn, L. A., Gentile, L., & Salpekar, N. (2005). The role of chaos in poverty and children's socioemotional adjustment. Psychological Science, 560-565.
Evans, G. W., Lercher, P., & Kofler, W. W. (2002). Crowding and children's mental health: the role of house type. Journal of Environmental Psychology, 22, 221-231.
Evans, G. W., Lercher, P., Meis, M., Ising, H., & Kofler, W. (2001). Community noise exposure and stress in children. Journal of the Acoustical Society of America, 109, 1023-1027.
Federman, M., Garner, T. I., Short, K., Cutter, W. B. I., Kiely, J., Levine, D., et al. (1996). What does it mean to be poor in America? Monthly Labor Review, May, 3-17.
Ferguson, D.M., Horwood, L.J., & Lynskey, M. (1994). The childhood of multiple problem adolescents: A 15-year longitudinal study. Journal of Child Psychology and Psychiatry, 35, 1123-1140. [Additional information provided by authors].
Fiese, B. H. (1992). Dimensions of family rituals across two generations: Relation to adolescent identity. Family Process, 31, 151-162.
Fiese, B. H., Hooker, K. A., Kotary, L., & Schwagler, J. (1993). Family rituals in the early stages of parenthood. Journal of Marriage and Family, 55, 633-642.
Fiese, B. H., & Kline, C. (1993). Development and validation of the family ritual questionnaire: Initial reliability and validation studies. Journal of Family Psychology, 6, 290-299.
Fiese, B. H., Wamboldt, F. S., & Anbar, R. D. (2005). Family asthma management routines: Connections to medical adherence and quality of life. Journal of Pediatrics, 146, 171-176.
Fuller, T. D., Edwards, J. N., Vorakitphokatorn, S., & Sermsri, S. (1993). Household crowding and family relations in Bangkok. Social Problems, 40, 410-430.
GAO. (1994). Elementary school children: Many change schools frequently, harming their education. Retrieved. from.
Gershoff, E.T., Aber, J.L., Raver, C.C., & Lennon, M.C. (2007). Income is not enough: Incorporating material hardship into models of income association with parenting and child development. Child Development, 78, 70-95.
Gilman, S.E., Kawachi, I., Fitzmaurice, G.M., & Buka, S.L. (2003). Socioeconomic status, family disruption and residential stability in childhood: Relation to onset, recurrence and remission of major depression. Psychological Medicine, 33, 1341-1355. [Additional information provided by authors].
Goduka, I. N., Poole, D. A., & Aotaki-Phenice, L. (1992). A comparative study of black south african children from three different contexts. Child Development, 63, 509-525.
Gove, W. R., & Huges, M. (1983). Overcrowding in the household. NY: Academic.
Guidubaldi, J., Cleminshaw, H. K., Perry, J. D., Nastasi, B. K., & Lightel, J. (1986). The role of selected family environment factors in children's post-divorce adjustment. Family Relations, 35, 141-151.
Hart, S. A., Petrill, S. A., Deater-Deckard, L., & Thompson, L. A. (2007). SES and CHAOS as environmental mediators of cognitive ability: A longitudinal genetic analysis. Intelligence, 35, 233-242.
Heft, H. (1979). Background and focal environmental conditions of the home and attention in young children. Journal of Applied Social Psychology, 9, 47-69.
Henry, C. S., & Lovelace, S. G. (1995). Family resources and adolescent family life satisfaction in remarried family households. Journal of Family Issues, 16, 765-786.
Herrenkohl, E. C., Herrenkohl, R. C., & Egolf, B. P. (2003). The psychological consequences of living environment instability on maltreated children. American Journal of Orthopsychiatry, 73, 367-380.
Hoglund, W. L., & Leadbetter, B. J. (2004). The effects of family, school, and classroom ecologies on changes in children's social competence and emotional and behavioral problems in frist grade. Developmental Psychology, 40, 533-544.
Homel, R., & Burns, A. (1987). Is this a good place to grow up? Neighborhood quality and children's evaluations. Landscape and Urban Planning, 14, 101-116.
Jensen, E. W., James, S. A., Boyce, W. T., & Hartnett, S. A. (1983). The family routines inventory: Development and validation. Social Science and Medicine, 17, 201-211.
Kantrowitz, E. J., & Evans, G. W. (2004). The relation between the ratio of children per actual area and off-task behavior and type of play in day care centers. Environment and Behavior, 36, 541-557.
Kerbow, D. (1996). Patterns of urban student mobility and local school reform. Journal of Education for Students Placed at Risk, 1, 147-169.
Kiernan, K., & Mueller, G. (1999). Who divorces? In S. McRae (Ed.), Changing Britain (pp. 377-403). Oxford: Oxford University Press.
Kleiwer, W., & Kung, E. (1998). Family moderators of the relation between hassles and behavior problems in inner city youth. Journal of Clinical Child Psychology, 27, 278-292.
Kohen, D. E., Hertzman, C., & Wiens, M. (1998). Environmental changes and children's competencies. Applied Research Branch Strategic Policy. Human Resources Development, Canada. W95-28E.
Lareau, A. (2002). Invisbile inequality: Social class and childrearing in black and white families. American Sociological Review, 67, 747-776.
Liaw, F., & Brooks-Gunn, J. (1994). Cumulative familial risks and low birth weight children's cognitive and behavioral development. Journal of Clinical Child Psychology, 23, 360-372.
Light, R. (1973). Abused and neglected children in America: A study of alternative policies. Harvard Educational Review, 43, 556-598.
Long, L. (1992). International perspectives on the residential mobility of America's children. Journal of Marriage and Family, 54, 861-869.
Marcynyszyn, L. A., Evans, G., W., & Eckenrode, J. J. (in press). Family instability during early and middle adolescence. Journal of Applied Developmental Psychology.
Matheny, A., Wachs, T. D., Ludwig, J., & Phillips, K. (1995). Bringing order out of chaos: Psychometric characteristics of the confusion, hubbub, and order scale. Journal of Applied Developmental Psychology, 16, 429-444.
Mayer, S. E. (1997). Trends in the economic well being and life chances of America's children. In G. Duncan, & J. Brooks-Gunn (Eds.), Consequences of growing up poor (pp. 49-69). New York: Russell Sage Foundation.
Mayer, S. E., & Jencks, C. (1989). Poverty and the distribution of material hardship. Journal of Human Resources, 24, 88-114.
Mehana, M., & Reynolds, A.J. (1995). The effects of school mobility on scholastic achievement. Society for Research in Child Development. Indianapolis, March 30.
Mitchell, R. E. (1971). Some social implications of high density housing. American Sociological Review, 36, 18-29.
Moore, K. A., Vandivere, S., & Ehrle, J. (2000). Turbulence and child well-being (No. B-16). Washington, DC: The Urban Institute.
Myers, D., Baer, W., & Choi, S. (1996). The changing problem of overcrowded housing. Journal of the American Planning Association, 62, 66-84.
National Center for Education Statistics. (1996). Urban schools: The challenge of location and poverty (No. 96-184). Washington, DC: department of Education.
National Center for Education Statistics. (2000). Condition of America's public schools facilities (No. 2000-032). Washington, DC: Department of Education.
National Statistics (1997). Social focus on families. London: The Stationary Office.
Nelson, P. S., Simoni, J. M., & Adelman, H. S. (2001). Mobility and school functioning in the early grades. The Journal of Educational Research, 89, 365-369.
Osborne, C., & McLanahan, S. (2007). Partnership instability and child well being. Journal of Marriage and Family, 69, 1065-1083. [Additional information provided by authors].
Pike, A., Iervolino, A. C., Eley, T. C., Price, T. S., & Plomin, R. (2006). Environmental risk and young children's cognitive and behavioral development. International Journal of Behavioral Development, 30, 55-66.
Reid, I. (1989). Social class differences in Britain. Glasgow: Fontana.
Rumberger, R. W., & Larson, K. A. (1998). Student mobility and the increased risk of high school dropout. American Journal of Education, 107, 1-35.
Rumberger, R. W., & Thomas, S. L. (2000). The distribution of dropout and turnover rates among urban and suburban high schools. Sociology of Education, 73, 39-67.
Rutter, M., Yule, B., Quinton, D., Rowlands, O., Yule, W., & Berger, M. (1974). Attainment and adjustment in two geographical areas: III-some factors accounting for area differences. British Journal of Psychiatrics, 125, 520-533.
Sandefur, G.D., & Wells, T. (1999). Does family structure really influence educational attainment? Social Science Research, 28, 331-357.
Schafft, K. A. (2005). The incidence and impacts of student transiency in upstate New York rural school districts. Journal of Research in Rural Education, 20, 1-13.
Seaton, E. K., & Taylor, R. D. (2003). Exploring familial processes in urban, low-income African American families. Journal of Family Issues, 24, 627-644.
Simpson, G. A., & Fowler, G. (1994). Geographic mobility and children's emotional/behavioral adjustment. Pediatrics, 93, 303-309.
Sprunger, L. W., Boyce, W. T., & Gaines, J. A. (1985). Family-infant congruence: Routines and rhythmicity in family adaptations to a young infant. Child Development, 56, 564-572.
US Census (2004). Geographical mobility: 2002-2003. Retrieved. from.
Wachs, T. D., & Chan, A. (1986). Specificity of environmental action as seen in environmental correlates of infants' communication performance. Child Development, 57, 1464-1474.
Wood, D., Halfon, N., Scarlata, D., Newacheck, P., & Nessim, S. (1993). Impact of family relocation on children's growth, development, school function, and behavior. Journal of the American Medical Association, 270, 1334-1338.
Wright, D. (1999). Student mobility: A negligible and confounded influence on student achievement. The Journal of Educational Research, 92, 347-353.