Academic literature on the topic 'Child factors'

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Journal articles on the topic "Child factors"

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CEDERBORG, ANN-CHRISTIN. "Factors influencing child witnesses." Scandinavian Journal of Psychology 45, no. 3 (July 2004): 197–205. http://dx.doi.org/10.1111/j.1467-9450.2004.00395.x.

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Giuseppone, Kathryn R., and Laura E. Brumariu. "Mother-child disagreements on child anxiety: associated factors." Journal of Children's Services 12, no. 4 (December 18, 2017): 257–70. http://dx.doi.org/10.1108/jcs-11-2016-0021.

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Purpose Previous literature demonstrated low-to-moderate rates of agreement between children and mothers regarding child anxiety. The purpose of this paper is to evaluate factors related to differences between mother-child dyads who disagreed vs agreed in their reports of child anxiety symptoms. Design/methodology/approach In total, 87 children aged 9-12 years old and their mothers completed questionnaires regarding maternal perceptions of child behavior, maternal separation anxiety about the child’s individuation, and mother-child relationship characteristics. Findings The results showed that mothers in mother-child dyads who disagreed on child anxiety symptoms, compared to those in dyads who agreed on child anxiety symptoms, perceived their children as showing higher affect intensity and behavioral problems. They also expressed greater anxiety about the children’s individuation process, characterized in part by children’s increased autonomy and decline of reliance on them. Further, children in dyads who disagreed, compared to those in dyads who agreed, reported lower mother-child attachment security. Originality/value The results extend the literature by identifying specific factors related to the discrepancy between mothers’ and children’s reports of childhood anxiety in early adolescence. The results highlight the need to consider both mothers’ and children’s views when assessing childhood anxiety. Importantly, the results also indicate that specific factors investigated in this study, including maternal perception of children’s behavioral problems and their affect intensity, maternal anxiety about child individuation, and mother-child attachment security, could be used to inform clinical decisions regarding informant discrepancies.
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Schumacher, Julie A., Amy M. Smith Slep, and Richard E. Heyman. "Risk factors for child neglect." Aggression and Violent Behavior 6, no. 2-3 (March 2001): 231–54. http://dx.doi.org/10.1016/s1359-1789(00)00024-0.

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Douglas, Willard H. "Factors in Determining Child Support." Juvenile and Family Court Journal 36, no. 3 (August 1985): 27–32. http://dx.doi.org/10.1111/j.1755-6988.1985.tb00550.x.

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Rajput, Aatir H., Sidra Humayoon, and Muhammad Muneeb. "Factors Affecting Child Gender Desirability." INTERNATIONAL JOURNAL OF ENDORSING HEALTH SCIENCE RESEARCH (IJEHSR) 4, no. 1 (March 1, 2016): 01. http://dx.doi.org/10.29052/ijehsr.v4.i1.2016.1-6.

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Auerbach, Charles, Wendy Zeitlin, Astraea Augsberger, Brenda G. McGowan, Nancy Claiborne, and Catherine K. Lawrence. "Societal Factors Impacting Child Welfare." Research on Social Work Practice 25, no. 3 (April 21, 2014): 305–12. http://dx.doi.org/10.1177/1049731514530001.

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Kaberuka, Will, Alex Mugarura, Javan Tindyebwa, and Debra S. Bishop. "Factors determining child mortality in Uganda." International Journal of Social Economics 44, no. 5 (May 8, 2017): 633–42. http://dx.doi.org/10.1108/ijse-08-2015-0201.

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Purpose The purpose of this paper is to establish socio-economic factors and maternal practices that determine child mortality in Uganda. Design/methodology/approach The paper examines the role of sex, birth weight, birth order and duration of breastfeeding of a child; age, marital status and education of the mother; and household wealth in determining child mortality. The study employs a logistic regression model to establish which of the factors significantly impacts child mortality in Uganda. Findings The study established that education level, age and marital status of the mother as well as household wealth significantly impact child mortality. Also important are the sex, birth weight, birth order and breastfeeding duration. Research limitations/implications Policies aimed at promoting breastfeeding and education of female children can make a significant contribution to the reduction of child mortality in Uganda. Practical implications Health care intervention programs should focus on single, poor and uneducated mothers as their children are at great risk due to poor and inadequate health care utilization. Originality/value This paper could be the first effort in examining child mortality status in Uganda using a logistic regression model.
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Garralda, M. E., and D. Bailey. "Child and Family Factors Associated with Referral to Child Psychiatrists." British Journal of Psychiatry 153, no. 1 (July 1988): 81–89. http://dx.doi.org/10.1192/bjp.153.1.81.

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We compared children aged 7–12 years referred to child psychiatrists by general practitioners (GPs) with community control children matched for the presence of psychiatric disorder. Referral status in psychiatrically disturbed children was linked to male sex, severity of the disorder, mental problems in the mothers, high levels of psychosocial stress in the family, and less support from extended families. For the whole group of referred children, the referral was associated with high antisocial scores on parental questionnaires, with parental reports of problems in controlling the children, and of high levels of stress felt in relation to them. In addition, parents of referred children were in disadvantaged socioeconomic groups.
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Yirga, Ashenafi Argaw, Henry G. Mwambi, Dawit Getnet Ayele, and Sileshi Fanta Melesse. "Factors affecting child malnutrition in Ethiopia." African Health Sciences 19, no. 2 (August 20, 2019): 1897. http://dx.doi.org/10.4314/ahs.v19i2.13.

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Kuzina, Viktorija. "FACTORS INFLUENCING THE CHILD LANGUAGE DEVELOPMENT." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2 (May 26, 2016): 404. http://dx.doi.org/10.17770/sie2016vol2.1407.

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Childhood is the basis for both life and language acquisition. The child language is greatly influenced by the language environment – parents and other family members, teachers, as well as movies, TV and radio broadcasting, theatre performances, books. Meanwhile exploring the world and characterizing it, the child gradually acquires the skill to use in its language synonyms, antonyms, phraseology, comparisons, learns to understand foreign origin words used on daily basis, etc.In order to establish, which factors are influencing positively the child language development, a questionnaire was worked out. Students, general education school teachers, as well as the preschool education teachers completed the questionnaire. The research on the factors influencing the children's language development was accomplished in the framework of the Norwegian project in 2015. The results of the questionnaire and opinion polls prove, the childhood stage is very significant in the child language development, and really great is the responsibility of adults (parents and teachers), to ensure that this process develops as valid, interesting and exciting for the child. One of the conditions for successful acquisition of the Latvian language vocabulary stock is the example shown by the speech of adults. The use of illiterate language must also be eliminated from schools, mass media, etc.
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Dissertations / Theses on the topic "Child factors"

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Pino, Lilia Diaz. "Risk Factors and Suspected Child Maltreatment." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/492.

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Maltreatment affected an estimated 794,000 children in the 50 States, the District of Columbia, and Puerto Rico in 2007 (United States Department of Health and Human Services [USDHHS], 2009). The purpose of this study was to examine the risk factors of young maternal age, parents' marital status, multiple birth, preterm birth, birth defects/disability, low economic status, and parental substance abuse related to suspected maltreatment of children 3 years of age or younger from the prospective of pediatric nurse practitioners (PNPs). A cross-sectional survey design, using the Tailored Design Method, was used in this study. A convenience sample consisting of the National Association of Pediatric Nurse Practitioners (NAPNAP) email registry was used for this study with a response rate of 11%. The respondents represented all regions of the United States. Seventy-nine percent of the PNP's (n=363) who completed the survey had suspected child abuse or neglect within the last year in a child three years of age or younger compared to 21% of PNPs (n=96) who did not suspect child maltreatment within the past year. The prevalence of suspected child maltreatment in the study population was 2.35%. According to the model examining child risk factors and abuse, the log of the odds of a child being abused was negatively related to preterm birth (p = .036) and birth defects/disability (p = .001). Multiple birth was positively related but not significant (p = .359). There were no statistically significant child risk factors found in the logistical regression for neglect (preterm birth, p = .180; multiple births, p = .938; birth defects/disabilities, p = .234). When examining the abuse and neglect groups together, the log of the odds of a child being abused and neglected was negatively related to birth defects/disabilities (p = .030). Preterm birth (p = .364) and multiple birth (p = .298) were positively related to the abuse and neglect group but were not significant. According to the model examining parental risk factors and abuse, the log of the odds of a child being abused due to a parent characteristic was negatively related to low economic status, with the proxy being WIC eligibility (p = .001) and a history of substance abuse (p = .031). The regression for abuse indicated a positive, yet insignificant, relationship with young maternal age (p = .129) and single marital status (p = .816). The logistic regression for neglect indicated a positive significant relationship with a substance abuse history (p = .012). The regression for neglect indicated positive but insignificant relationships for young maternal age (p = .693), marital status (p = .343), and WIC eligibility (p = .106). There were no statistically significant parental risk factors found in the logistical regression for abuse and neglect together (young maternal age, p = .263; marital status, p = .523; WIC eligibility, p = .131; substance abuse, p = .985). Findings indicated that child maltreatment is suspected by PNPs in primary care settings, and that PNPs recognize signs and symptoms of abuse and neglect.
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Nsemukila, Geoffrey Buleti. "Factors influencing child survival in Zambia." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318283.

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Freysteinsdóttir, Freydís Jóna. "Risk factors for repeated child maltreatment." Diss., University of Iowa, 2004. https://ir.uiowa.edu/etd/119.

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The purpose of this study was to identify risk factors for repeated child maltreatment in Iceland. Only cases that had never been reported to child protection services before were included in this study (N=77 total). Each case was followed for 18 months. In all cases the first reported incident was neglect. In the study, a group of cases that had only been reported once (single incident) was compared with another group of cases that had been reported two or more times (repeated incidents). Risk factors were identified and compared on different levels according to an ecological model: 1) Demographics, 2) Parental figure problems, 3) Children's characteristics, 4) Family problems, 5) Social support. In addition, the two groups were compared on parental non-cooperation and services received. In a logistic regression model, the groups differed significantly on the following factors; the mother figures in the repeated incidents group had lower education level and the mothers in that group had more personal problems than the mother figures in the repeated incidents group. In addition, the repeated incidents group experienced more family dynamic problems than the single incident group.
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Nicolais, Christina J. "Maternal Health and Child Behaviors as Risk Factors for Child Injury." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3381.

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Evidence suggests that child behavior, parent mental health, parent supervision, and home environment conditions impact a child’s risk of injury. Vulnerable families are at greater risk for the occurrence of child behavior problems, poor health, decreased supervision, and hazardous home conditions. Consistent with a model that proposes that parent, child, and environment factors interact within the lens of sociocultural factors to predict injury, the current study aimed to test a statistical model with maternal physical health and child externalizing behaviors as predictors of child injury, and home hazards and supervision as mediators of these relations. Analyses were conducted using a nationally representative sample of 3,288 vulnerable mother-child dyads. Results showed significant relations between parent physical health and child injury, and child aggression and child injury, though home hazards and supervision did not mediate either of these relations. Further research should continue to examine the mechanisms of action in the parent health- child injury relation so that injury prevention interventions can be developed.
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Hagen, Carol Kellerman. "Decision Making Factors in Child Caregiver Reporting of Child Abuse and Neglect." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2527/.

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This study investigated decision making factors used by child caregivers to identify suspected child abuse and neglect and collected data on caregiver training in the recognition and reporting of suspected child abuse and neglect. Data was collected in July 1999 in fourteen north Texas childcare programs. One hundred twenty three teaching and administrative staff completed a survey based on Jacobson, A., Glass, J. and Ruggiere, P. (1998). Five teachers and five administrators chosen for convenience were read eleven vignettes describing possibly abusive situations to decide whether they were reportable or non-reportable, and to indicate factors used to make their decisions. Administrators (50%) and teachers (13.3%) reported being unfamiliar with child abuse and neglect definitions and reporting laws. Two thirds (66.7%) of the administrators and 39.8% of the teachers had received specific training in recognizing and reporting child abuse and neglect. Administrators were more likely than teachers to report suspected child abuse and neglect. Teachers often reported to program administrators rather than state designated authorities. All subjects relied on information about children, but administrators also used information about parents, with teachers more likely to make excuses for parental actions. With 110 reporting opportunities, training was cited as a factor only twice by administrators. No teachers made reports to anyone other than program administrators, a factor named deference in this study. Four of five administrators expected deference from teachers when reporting decisions were made. Present training in the recognition and reporting of suspected child abuse and neglect is inadequate. Caregivers need additional training in differences between accidental and intentional injuries, detection of child sexual abuse and emotional neglect, recognition and assessment of injuries among infants and toddlers, and mandated reporting procedures. Further research on optimal training for accurate reporting of suspected abuse and neglect is needed. A mandate to report to authorities outside the child care center should be clarified in state law. Licensing individuals as well as programs would strengthen reporting by caregivers.
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Hickey, Mary Beth, and Karen Eva Smithson. "Risk factors associated with recurrent child maltreatment." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2900.

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The purpose of this study was to identify factors that contribute to the recurrence of child maltreatment within a variety of families. The following discussion addresses the safety and security of children, child protective services, cultural sensitivity, and perception of poverty.
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Burke, Danica. "Child care choices: Factors that predict a match in mothers' child care preferences." Thesis, Wichita State University, 2009. http://hdl.handle.net/10057/2437.

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There were several issues investigated in the present study: (a) what factors are most important to mothers in choosing child care; (b) the relationship between marital status, income, education, prior child-care seeking experience and finding a match to preference of child care; (c) child-care factors that are most common in not obtaining a match, and (d) the opinion of mothers on how readily available good child care is in their community. A 19-question survey was administered to 37 mothers who were graduate and undergraduate students at WSU, living in the Prairie Woods Home Addition, or employed at the Sedgwick County Special Education Cooperative Office who have sought child care for a child within the last two years. These mothers overwhelmingly were able to secure child care of their preference for their child. There were no differences found in child-care choices among the mothers due to demographic differences. They reported that quality of the child-care program, quality of the facility or home, and warmth and friendliness of the provider were the most important factors in a child care. Interestingly, the factors of cost, location, and/or hours of operation or flexibility of child care were not top factors in finding a child care for the mothers from this sample. The findings suggest that more research needs to be done on the opinions and feelings of mothers with less education or income.
Thesis (M.Ed.)--Wichita State University, College of Education, Dept. of Counseling, Educational and School Psychology
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Ndlovu, Rodwell Sibusiso. "Factors influencing infant and child mortality in Zimbabwe." University of the Western Cape, 2018. http://hdl.handle.net/11394/6788.

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Magister Philosophiae - MPhil
According to a 2010 report by the United Nations, mortality rates among children under the age of five remain extremely high in most countries in sub-Saharan Africa in which Zimbabwe is one of them. Child mortality in Zimbabwe is found to be associated with the specific causes with differing factors. This thesis analyses main causes of child mortality in Zimbabwe with selected socioeconomic, bio-demographic, maternal fertility behaviour, sexual reproductive health and services delivery factors in the study area, and Zimbabwe’s progress towards reaching MDG 4&5, which is to improve maternal health and reduce child mortality. The study used secondary data from the Demographic and Health Survey Zimbabwe of 2010-11, which is a nationally representative sample of all deaths based on household interviews to assess the impact of socioeconomic factors, health care accessibility and HIV/AIDS on infant and child mortality. This is a theoretical and descriptive study which uses odds and hazard rates of analysis and also used bio-demographic variables to understand the problem by exploring the data to obtain the most plausible estimates of infant and child mortality in the past decades. The findings, to a great extent showed that, socioeconomic factors have a huge contribution to infant and child mortality rates in Zimbabwe. Preceding birth interval, family size, birth type, breastfeeding status, source of drinking water, mother education, mother income, area of residence, and father education have significant effect at univariate level, whereas, area of residence, mother education and father education were not significant at multivariate level. The finding from the study revealed that mother’s educational level is not a determinant factor of infant and child mortality in Zimbabwe unlike other studies. However, awareness about the influencing factors of infant and child mortality is vital in order to control them, so also is enlightenment on the need of birth control and family size and benefit of breastfeeding. Improvement on the socioeconomic status and empowerment of citizens most especially women will help to reduce infant and child mortality.
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Rosenkrantz, Dani E. "FACTORS IMPACTING PARENTAL ACCEPTANCE OF AN LGBT CHILD." UKnowledge, 2018. https://uknowledge.uky.edu/edp_etds/69.

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Chrisler’s (2017) Theoretical Framework of Parental Reactions When a Child Comes Out as Lesbian, Gay, or Bisexual suggests that parental reactions to having a non-heteronormative child are impacted by a process of cognitively appraising information about their child’s identity and experiencing and coping with emotional responses, both of which are influenced by contextual factors such as a parent’s value system. However, some religious values can challenge parents in the process of accepting a lesbian, gay, bisexual, or transgender (LGBT) child. The purpose of this study was to test a model that examines the influence of cognitive-affective factors (cognitive flexibility, emotional regulation), religious-value based factors (religious fundamentalism, parental sanctification), and gender and sexual identity on self-reported parental acceptance. Participants were 663 parents of LGBT children who submitted responses to an online survey. A Tobit regression with a single-indicator latent variable approach revealed that religious fundamentalism, parental sanctification, the control component of cognitive flexibility, parent gender, and parent sexual identity significantly predicted parental acceptance. Lower religious fundamentalism, higher parental sanctification, and higher cognitive flexibility scores were associated with parental acceptance of an LGBT child. Participants identifying as a woman or LGB parent also significantly predicted acceptance. Implications of findings are discussed.
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Scarlett, Jane Margaret, and Bryan Anderson Wing. "Child abuse and domestic abuse: Factors in reunification." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2133.

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This study was designed to differentiate the significant demographic and familial factors found in families when reunification is successful versus when reunification fails in cases of child removal due to physical abuse and domestic violence. The purpose of this study was to identify which, if any of these factors, lead to successful reunification. Content analysis of adjudicated cases of child abuse in San Bernardino County was used to transform qualitative information into quantitative data.
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Books on the topic "Child factors"

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Maheswari, Mridul. Factors affecting child labour in India. Ahmedabad: Indian Institute of Management, 2008.

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Sakamoto, Kumiko. Factors Influencing Child Survival in Tanzania. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-7639-9.

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Canada, National Clearing House on Family Violence. Decision-making factors in child neglect cases. Ottawa: National Clearinghouse on Family Violence, 1989.

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McWilliam. Factors influencing child engagement in mainstream settings. Washington, D.C: Educational Resources Information Center, 1988.

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Tomlinson-Keasey, Carol. Child development: Psychological, sociocultural, and biological factors. Homewood, Ill: Dorsey Press, 1985.

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Alter, Catherine Foster. Decision-making factors in child neglect cases. Ottawa, Ont: National Clearinghouse on Family Violence, 1989.

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National Clearinghouse on Family Violence (Canada). Decision-making factors in cases of child neglect. Ottawa: National Clearinghouse on Family Violence, 1989.

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Fathers and families: Paternal factors in child development. Westport, Conn: Auburn House, 1993.

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Powell, Lisa M. Economic contextual factors and child body mass index. Cambridge, MA: National Bureau of Economic Research, 2009.

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Gopaldas, Tara. Behavioural factors influencing child feeding and child rearing practices in different communities.: Report. Baroda: Foods and Nutrition Dept., Faculty of Home Science, 1987.

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Book chapters on the topic "Child factors"

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Ammerman, Robert T. "Predisposing Child Factors." In Children at Risk, 199–221. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-2088-4_8.

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Erickson, Marilyn T. "Etiological Factors." In Handbook of Child Psychopathology, 37–61. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5905-4_2.

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Bell, Charles, Andy V. Pham, and John S. Carlson. "Protective Factors." In Encyclopedia of Child Behavior and Development, 1168–69. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2277.

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Schantz, Aaron R., Andy V. Pham, and John S. Carlson. "Risk Factors." In Encyclopedia of Child Behavior and Development, 1273–74. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2456.

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Ruble, Lisa A., and John H. McGrew. "Child Internal and External Factors." In SpringerBriefs in Psychology, 89–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18555-2_8.

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Chen, Kai. "Structural Factors of Child Soldiering." In Comparative Study of Child Soldiering on Myanmar-China Border, 39–51. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4560-02-3_4.

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Magiati, Iliana, Elias Tsakanikos, and Patricia Howlin. "Psychological and Social Factors." In Autism and Child Psychopathology Series, 123–43. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8250-5_9.

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Bywaters, Paul. "Understanding the Neighbourhood and Community Factors Associated with Child Maltreatment." In Child Maltreatment, 269–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05858-6_17.

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Lieten, G. K., and Talinay Strehl. "Landing in the Streets: A Multiplicity of Factors." In Child Street Life, 13–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11722-5_3.

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Vandenberg, Steven G., and Lawson Crowe. "Genetic Factors in Childhood Psychopathology." In Advances in Clinical Child Psychology, 139–77. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-9832-5_6.

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Conference papers on the topic "Child factors"

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Snowdon, Anne W., Jan Miller-Polgar, James Potvin, and Giovanna Follo. "Factors Influencing Child Safety Seat Misuse." In SAE 2004 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-0852.

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Hourcade, Juan Pablo, Anja Zeising, Ole Sejer Iversen, Narcis Pares, Michael Eisenberg, Chris Quintana, and Mikael B. Skov. "Child-Computer Interaction SIG." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027063.3049286.

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Read, Janet C., Juan Pablo Hourcade, Panos Markopoulos, and Ole Sejer Iversen. "Child computer interaction SIG." In CHI '14: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2559206.2559214.

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Hourcade, Juan Pablo, Alissa N. Antle, Michail Giannakos, Jerry Alan Fails, Janet C. Read, Panos Markopoulos, Franca Garzotto, and Andrea Palumbos. "Child-Computer Interaction SIG." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3311760.

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Hourcade, Juan Pablo, Anja Zeising, Ole Sejer Iversen, Mikael B. Skov, Alissa N. Antle, Lisa Anthony, Jerry Alan Fails, and Greg Walsh. "Child-Computer Interaction SIG." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3170427.3185368.

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Hourcade, Juan Pablo, Glenda Revelle, Anja Zeising, Ole Sejer Iversen, Narcis Pares, Tilde Bekker, and Janet C. Read. "Child-Computer Interaction SIG." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2851581.2886433.

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Ferron, Michela, Chiara Leonardi, Paolo Massa, Gianluca Schiavo, Amy L. Murphy, and Elisabetta Farella. "A Walk on the Child Side." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300827.

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Read, Janet C. "Research Methods for Child Computer Interaction." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3170427.3170656.

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Read, Janet C., and Shuli Gilutz. "Research Methods for Child Computer Interaction." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2851581.2856678.

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Read, Janet C., and Shuli Gilutz. "Research Methods for Child Computer Interaction." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2706687.

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Reports on the topic "Child factors"

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Powell, Lisa, and Frank Chaloupka. Economic Contextual Factors and Child Body Mass Index. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15046.

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Walsh, Wendy, and Marybeth Mattingly. Understanding child abuse in rural and urban America: risk factors and maltreatment substantiation. University of New Hampshire Libraries, 2012. http://dx.doi.org/10.34051/p/2020.170.

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3

Cannell-Cordier, Amy. The Role of Emotional Support Consistency and Child Risk Factors in Predicting Pre-K Cognitive and Social-Emotional Development. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2364.

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4

Aikins, Julie W. Identifying Military and Combat-Specific Risk Factors for Child Adjustment: Comparing High and Low Risk Military Families and Civilian Families. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586176.

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Vitkovskii, Iu A., L. A. Mikhailova, E. A. Bondarevich, M. A. Solodukhina, E. S. Epova, O. V. Eremin, O. G. Alekseeva, et al. Hygienic characteristics of the influence of geochemical factors on the elemental status of the child population of the village Sherlovaya Gora (Eastern Transbaikalia). ЗабГУ, 2018. http://dx.doi.org/10.18411/978-5-9293-2170-2-2018-129-133.

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Nygren, Peggy. Exploring the Effects of Multi-Level Protective and Risk Factors on Child and Parenting Outcomes in Families Participating in Healthy Start/Healthy Families Oregon (HS/HFO). Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1507.

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McDonald, Lani. The resilience of the child as a factor in successful adjustment to permanent placement. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2736.

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Calvo, Guillermo, and Ernesto Talvi. Sudden Stop, Financial Factors and Economic Collpase in Latin America: Learning from Argentina and Chile. Cambridge, MA: National Bureau of Economic Research, February 2005. http://dx.doi.org/10.3386/w11153.

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9

Agostinelli, Francesco, and Matthew Wiswall. Identification of Dynamic Latent Factor Models: The Implications of Re-Normalization in a Model of Child Development. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22441.

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10

Salkever, David, Stephen Johnston, Mustafa Karakus, Nicholas Ialongo, and Eric Slade. Using Target Efficiency to Select Program Participants and Risk-Factor Models: An Application to Child Mental Health Interventions for Preventing Future Crime. Cambridge, MA: National Bureau of Economic Research, July 2006. http://dx.doi.org/10.3386/w12377.

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