The primary motivation for developing this conceptual data model is to encourage and inform collaborative research on the impacts of COVID-19 on young children using IDS. This section provides additional direction on how to use the data model with relevant considerations for developing and conducting research that examines the immediate impacts and, perhaps most likely, the longitudinal outcomes that will evolve for these young children over time as impacts of the pandemic are likely to fundamentally alter early developmental trajectories.
We situate these recommendations within the United States because its compounded form of government (i.e. federalism) grants regional power to states, cities, and counties, thereby creating a hyper-localised COVID-19 response. This response system provides a unique context for research since it generates a natural experiment of varied policy and implementation decisions across state, county and city boundaries. This approach could also be taken across international boundaries – so we use the US as an example to highlight the conceptual data model potential. The US government’s devolved response to the pandemic in 2020 empowered state and local jurisdictions to make unilateral decisions regarding stay-at-home orders, business closures, school closures, and disbursement of resources. As such, state-to-state responses and, in some cases, county-to-county responses varied in length, universality, and enforcement. This resulted in high variability across jurisdictions in cases, death counts, and the timeframe of peak infection rates. A difference-in-difference design study of counties on the border of Iowa and Illinois highlights this variability. Results show the case rate per 10,000 residents was approximately equal across border counties until Illinois implemented a stay-at-home order and Iowa did not, resulting in significantly higher case rates on the Iowa side of the border compared to Illinois [ 37 ].
Early evidence from this hyper-localised response also highlights exacerbation of deep-rooted racial and economic inequities. Analysis suggests these disparate impacts are driven by inequitable access to quality healthcare and health insurance coverage; disproportionate levels of BIPOC working in low wage, “front line” jobs without the opportunity to work from home; overrepresentation among populations of individuals incarcerated in correctional and immigration detention facilities; and the presence of pre-existing social determinants of health related to chronic illness [ 38 ]. This is deeply problematic for families with young children who have been forced to balance child care, schooling, and work, often at the expense of their physical and emotional well-being. The racialised impacts of COVID-19 compound pre-existing developmental vulnerabilities faced by children across domains like healthcare, education, housing, labour and justice (see Alexander (2020), Katznelson (2005), and Rothstein (2017) for examples) [ 39 – 41 ].
Given this context and emerging research, we propose two critical areas that should be included in research design using the conceptual data model. First, research needs to document the hyper-localised response and community-level changes that resulted within the research design . It is important to know when or if stay at home orders were put in place, what they entailed, and how long they lasted. How were school closings and remote support for educators, parents and students implemented? What were the infection, hospitalisation and death rates in the locality? A key component to addressing the community context response also requires centering racial equity in the research design. Within Table 2 (which presents potential research questions and relevant IDS elements that could inform research) we have given some examples that can be aggregated by place/spatial analysis/geography to provide rates per population and contextualise findings to the broader spatial boundaries/community.
How are changes in enrollment and access in quality early learning programmes affecting family stability and child outcomes? | Dependent (child outcomes): kindergarten readiness, Early Intervention (EI) referral and services, child welfare involvement ace Independent: child enrollment dates and duration, virtual options | Family/household: workforce participation, mental health Community context: school closure timing and duration, child care workforce changes, quality changes in programmes related to COVID-19 safety requirements, recovery efforts tore-open programmes, access to broadband internet |
How did the timing and amount of benefits and stimulus payments throughout the pandemic support child outcomes? | Dependent (child outcomes): child care and school attendance, school readiness, developmental screening results, EI referrals and services, McKinney-Vento (homelessness supports through public schools), child welfare involvement/prevention, child health and mental health Independent: dates of benefits, amounts of benefits | Family/household mediators: TANF participation, unemployment, family homelessness (HMIS), evictions, medical claims, hospitalisations, mental health and substance use services, food insecurity Community context: stay at-home orders, access rates for health or child care prior to COVID-19, density of low-moderate income families, density of immigrant and refugee families |
How has parental employment/unemployment affected children’s behavioral and emotional health? | Dependent (child outcomes): child care and school attendance, school suspensions, EI referrals and services, child welfare involvement Independent: employment dates and duration | Family/household mediators: unemployment benefits (or lack thereof), adult mental health and substance use, income, housing stability Community context: rate of unemployment, stay-at-home orders, business closures, rates of COVID-19spread |
How have local responses to stabilise housing supported child outcomes? | Dependent (child outcomes): child care and school attendance stability, homelessness supports through public school, lead poisoning / lead testing, child welfare involvement, kindergarten readiness Independent (community-level): eviction and foreclosure moratoriums (federal, state, city), diversion programmes, court closures | Family/household mediators: employment/unemployment, rental and mortgage assistance receipt, family homelessness Community context: eviction filing rates (public vs. private property owners) |
Second, a focus on children ages 0-5 necessarily requires including important adult factors that serve as mediators for children’s outcomes . IDS that link children and adults is paramount to this research. By linking children with the adults in their household, biological and non-biological caregivers, and other relevant adults in their proximal systems, this research will have the unique capacity to study mediating and moderating factors of COVID-19 impacts on young children. How did the pandemic impact the systems that surround the child (e.g. home environment, housing stability, community resources)? What impacts on caregivers are likely to translate into reduced capacity for parenting support or the provision of resources known to foster optimal development (e.g. socialisation, cognitive stimulation, opportunities for creative exploration)?
In order to consider these two critical areas, it is also important to identify which individual-level data elements can be aggregated to create a place-based or geographic measures. This spatial approach serves to contextualise findings in a way that is relevant to the specific location. Aggregating data by geography provides useful comparisons across population groups and geographic boundaries and facilitates the study of place-based policy and programme responses. This is especially important given that where a child lives strongly predicts so many child and family outcomes [ 42 ]. For example, researchers could aggregate employment records by neighbourhood to identify the areas with the largest share of essential workers by race and ethnicity and then map their proximity to child care centers in the area.
Across each relevant developmental resilience pathway, there are important child, adult and community factors to consider when conducting research on child impacts. In Table 2 , we outline a set of potential research questions that could be answered with IDS using the conceptual data model. Each question includes an articulation of possible dependent variables (child outcomes) and independent variables (e.g. employment status, policy changes, child care closures), as well as possible family and community context mediators that would be important to include and are also collected by administrative data systems. This table includes a range of possible questions that span the conceptual model pathways, but is by no means exhaustive. Following the table, we elaborate on one question to demonstrate potential methodological approaches and research designs that could be used within the model to foster relevant research.
Using the first question from this table as an example, we now briefly elaborate on how this model and related IDS capacities could be used to answer the question How are changes in enrollment and access in quality early learning programmes affecting family stability and child outcomes? The value of an IDS approach to answer this question is that with administrative data collected longitudinally, the immediate, intermediate, and long-term relationships between quality early learning programme participation (or lack thereof) and relevant child outcomes over time can be studied. Children who were preschool age during the COVID shutdown in Spring of 2020 and forced to move to home schooling or virtual instruction in the middle of the school year could be studied and compared to children of the same age who started their preschool experience virtually – or who were delayed with having a preschool experience because there were no open available spots or because families elected to remain at home. For these children, differential impacts on cognitive, behavioral, or emotional outcomes may be studied over time as these children experience different trajectories into elementary school. Since research suggests many early traumatic experiences may not manifest until later behavioral or cognitive challenges emerge [ 43 ], studying longer-term outcomes such as child mental health, school disconnection or behavioral disruption, slowed or delayed cognitive progression, and academic achievement could be extremely relevant.
An IDS approach at a state (or inter-state) level could reveal important community-level moderators in these relationships. County-level differences in how and when community child care, early learning environments, and public education changes occurred could be quantified. Changes in care facility capacity and adaptations in quality to respond to health and safety concerns could be added. When did centers and home-based care close? For how long? How many did or did not reopen doors? Was access limited to essential workers? What were local stay-at-home orders and how did businesses respond? How flexible was work-from-home policy? Of further value could be a cross-state comparison where multiple IDS partnerships collaborate to understand differences in policy response. Studying commonalities and differences across states could reveal important causal mechanisms that underscore how responses directly and indirectly influence child development outcomes.
When real-time decisions are needed in government, executive leaders will turn to whatever data they have available. This is particularly true in cases of public emergency such as the COVID-19 pandemic. Jurisdictions with developed IDS have an opportunity (and perhaps even an obligation) to fast-track needed improvements in these systems to ensure they are more frequently and fully used to drive decisions and improve outcomes. This paper has provided a conceptual data model for using IDS for COVID-19 impact research on young children. Full actualisation of this conceptual data model, however, also requires acknowledgement of critical challenges in data access, quality and integration.
First, the COVID-19 pandemic has shifted some practice around administrative data access and raised new issues [ 44 ]. Remote work, for example, revealed limitations of certain privacy and security measures at a time when limited contact is lifesaving. Sites where data could only be accessed using on-site servers saw their work put on pause indefinitely when stay-at-home orders went into effect. Other efforts were stymied by data sharing agreements that did not allow for remote access, or restricted use to only analytics or research, but not for operational use. These legal “roadblocks” limit how information could be accessed and used in real-time, and by whom. Fortunately, there are other models of data sharing that do not include such roadblocks and could be adopted in future work. For example, sites with secure, remote data access policies, procedures, and legal agreements in place have been able to be more flexible and nimble to the changing needs of the pandemic [ 45 ]. As sites work to update and modernise their crisis response capacity, existing agreements may need to be amended to allow operational use of data in times of crisis or emergency.
From the framework of this IDS Conceptual Data Model, there may also be areas where available data points are insufficient to capture the full impact, particularly with respect to issues of social isolation and the complexity of family and household responses to community shutdowns. While policymakers and the media have been particularly focused on the health and economic impacts of the virus, less attention (and consequently, less data collection) has been given to the pandemic’s impact on family resilience or less visible factors like mental health (see, for example, Leeb et al. (2020)) [ 46 ]. Furthermore, with systems of support like education, healthcare, recreation, and religious services being provided virtually, many young children are disconnected from the adults they have contact with under normal circumstances. This lack of contact could mean that traditional data collection efforts may have been altered during the pandemic, which would impact our ability to apply epidemiological models of health development to measure outcomes. For example, without children being around regular mandated reporters of child abuse and neglect, aggregate and individual-level data on child welfare reports and substantiated cases may not provide complete information on the incidence of child abuse and neglect [ 47 , 48 ]. Additionally, these contexts may limit the availability of data routinely gathered through annual educational and health assessments because children were participating virtually. Relatedly, some measures, like school attendance, have questionable validity when services are being offered online. It may be that districts or health clinics adapted their data collection processes for virtual services, but careful attention to these changes in administrative data will be required to ensure that research using them is valid.
A third major challenge with IDS research is that data curation and quality varies across IDS sites. With the hyper-localised US response context in mind, understanding how different systems define variables and code and clean them for analytic use is critical, especially for multi-site IDS research. Seemingly similar datasets can vary widely across agencies or geographic regions, making consistent measurement and comparison a challenge. Data may differ in the frequency of data collection, years of data available, ages of children represented, quality of data, and/or definitions of data fields. Due to the lack of standardised measurements for the birth to age five population in particular, many early childhood indicators use different data points as proxies for key constructs such as physical, social and emotional health, and kindergarten readiness. As a result, they are typically measured differently across IDS sites.
A final consideration involves the need for IDS that link data between children and their caregivers . In the context of a pandemic where our conceptual model of influence is largely tied to adult caregiver responses and capacities, it is necessary to link a child’s data to that of their parents and other household/family members. Unfortunately, many IDS do not yet have this capacity [ 49 ]. How family structures change over time (e.g. marriage or divorce, children living in different households, birth or adoption of children) must be captured and documented across data systems in order to create a comprehensive linkage of children and their caregivers. The challenge of linking children to their family units is not only technical, but also relational. Strong governance processes and cross-agency relationships are necessary for partners to understand the importance of household matching and generating consistent measures for two-generation analyses. The good news is that there are IDS that have figured this out, and these systems could serve as models for others to advance their capacities [ 50 ]. In the wake of the COVID-19 pandemic and the upended social and economic realities it has presented, these challenges present a call to the research community that is already engaged (or poised to engage) in IDS research to share best practices in linking child-adult-family data.
The development and use of IDS for research has great potential to inform solutions to our most pressing social problems. In the wake of the US Commission on Evidence-Based Policymaking recommendations (2017), we have seen the role of administrative data reuse expand exponentially [ 51 ]. While this is a good start, it also suggests an ethical obligation to use these data in service of the children and families who have entrusted their care and well-being to the systems poised to respond. In the context of a global pandemic where immediate and long-term impacts are unclear for young children, it is imperative that we utilise these built capacities. The current paper addressed this directly through three primary aims. First, it provided a comprehensive conceptual data model informed by developmental science to advance the field of population data science by generating a common language to study the impacts of COVID-19 on young children using IDS. Second, it illustrated sets of administrative data well poised for pandemic impacts research across the developmental resilience pathways in the model. Last, it outlined research considerations and provided examples of priority questions that could be addressed with cross-sector, longitudinal research using IDS that link children and adults.
We end this discussion with a call to action. IDS are positioned to respond to critical needs through actionable research that informs public health crises like the COVID-19 pandemic. This requires building, expanding, and working within two-way partnerships among the scientific and public service communities. These types of partnership are aligned with the National Academy of Sciences’ charge for more cross-sector initiatives that address the root causes of poor health for young children. Using the conceptual data model provided in this paper, comprehensive research about developmental impacts on young children that are mediated by relevant parent and family factors and situated within localised response systems has potential to inform population-level intervention approaches. Given the fact that the prenatal to early childhood period is one of the most sensitive times for children to get on the right path to meet optimal developmental milestones, mitigating the short and long-term impact of COVID-19 is critical [ 52 ]. This paper provides a framework for facilitating such research.
This paper is also a call to the research community connected with population-level IDS capacities to use them, improve them, and maximise the translation of science to action in partnership with our government leaders who need information to inform intervention and prevention approaches. Multi-site research is needed so IDS leaders in different states, municipalities, and across the globe can learn how varied policy or programme responses relate to different developmental trajectories for children. Paramount to this is maintaining sustainable capacities for long-term research so we can understand the implications of response interventions and continue to study the impacts on child development over time. One-shot research studies will not suffice – we have an opportunity (and obligation) for research partnerships to form as governments continue to strategise their pandemic responses. Such partnerships hold potential to address the future needs of a generation of young children living through the COVID-19 pandemic, who will continue to face challenges in their developmental trajectories if the proper, necessary supports are not provided.
This work was informed by the on-going work of sites that are members of the AISP Network, and their activities are supported by data governance that includes distributed decision-making among a variety of stakeholders, including government agencies, non-governmental non-profit agencies, community-based organizations, and universities.
The IDS Data Landscape research was approved by the University of Pennsylvania IRB, Integrated Data System Landscape Analysis: Models, Motivations, and Capacity for Cross-Agency Data Sharing, # 834988.
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The purpose of this study was to investigate adolescent knowledge of physical, mental, social, and emotional development of babies and young children. The study was concerned with the effects of the following factors on adolescent knowledge of child development; geographic location, family size, ordinal position, and years of homemaking classes in school. Questionnaires were administered to 200 homemaking students in high schools in Parker and Tarrant counties. The only factor significant at the .05 level in affecting.adolescent knowledge was geographic location. Students from rural high schools obtained higher overall child development knowledge scores than students from urban high schools. Further … continued below
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Harrison, Cheryl May 1979.
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The purpose of this study was to investigate adolescent knowledge of physical, mental, social, and emotional development of babies and young children. The study was concerned with the effects of the following factors on adolescent knowledge of child development; geographic location, family size, ordinal position, and years of homemaking classes in school. Questionnaires were administered to 200 homemaking students in high schools in Parker and Tarrant counties. The only factor significant at the .05 level in affecting.adolescent knowledge was geographic location. Students from rural high schools obtained higher overall child development knowledge scores than students from urban high schools. Further research to compare the knowledge of students not enrolled in homemaking classes to the knowledge of students enrolled in homemaking classes is recommended.
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Harrison, Cheryl. Child Development Knowledge of Adolescents , thesis , May 1979; Denton, Texas . ( https://digital.library.unt.edu/ark:/67531/metadc663300/ : accessed August 20, 2024 ), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu ; .
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The Patrice Engle Dissertation Grant began in 2013 and final awardees were announced in September 2023. SRCD thanks Dr. Maureen Black for her commitment in leading this Grant for the last decade.
The Engle Grant began in 2013 and provided support to 45 junior scholars interested in a career in global early child development who were from or doing research in low- or middle-income countries. Each awardee received $5,000 USD to support dissertation research and a 2-year student membership to SRCD. The final Engle Awardees were selected in August 2023.
Dr. Maureen Black, professor in the Department of Pediatrics at the University of Maryland School of Medicine and Distinguished Fellow at RTI International, directed the grant process over the last decade. Each year, she collected applications and led a review committee to select a diverse group of awardees engaged in research across the globe. These scholars’ projects have been conducted in countries such as Cameroon, China, Columbia, Ethiopia, India, Jamaica, Kenya, Kurdistan, Mongolia, Nigeria, Saudi-Arabia, and Turkey, embodying the Grant’s far-reaching impact. We thank Dr. Black for her leadership.
Dr. Maureen Black reflects on this process:
The Engle grant was funded through the generosity of several foundations and Pat’s family and friends. The final grants were awarded in 2023. In the coming year, we will interview the Engle Scholars and ask about their current activities, views of the field, and outlook for future training and activities in global childhood development. We will distribute our findings through SRCD.”
SRCD is a multidisciplinary, not-for-profit, professional association with a membership of approximately 4,400 researchers, practitioners, and human development professionals from over 50 countries. SRCD promotes multidisciplinary research in human development, fosters the exchange of information among scientists and other professionals, and encourages applications of research findings. Administration of the Patrice L. Engle Dissertation Grant in Global Early Child Development was consistent with SRCD’s strategic plan to promote global child development and to support junior scholars. SRCD supported the Grant by advertising and promoting the Grant recipients, managing the funds (including acknowledgement for the tax-free donations), and providing an annual financial report to the Patrice L. Engle Grant Committee. The Patrice L. Engle Grant Committee (comprised of 3-5 members with expertise in global child development and representing academia and international agencies/foundations) managed the Grant by advertising the Grant, selecting Grantees, requesting release of funds through SRCD, involving Grantees in the biennial SRCD meeting, receiving interim and final reports from Grantees, and providing SRCD with an annual report of activities. Announcements regarding the Grant included information on how to make donations to the Patrice L. Engle Dissertation Grant for Global Early Child Development Research.
READ MORE ABOUT PAT'S LIFE AND ACCOMPLISHMENTS READ A TRIBUTE TO PAT FROM HER FRIENDS AT SRCD View the 2023 call for application archive
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During the process of development, a child transitions from being dependent on his parents to being an independent young adult. It is generally accepted that there are 5 main stages of child development: newborn, infant, toddler, preschool, and school-age.
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According to Manas (2019), Early Childhood Development is the term used to describe a child's physical, cognitive, linguistic, and socioemotional development from conception until age eight. This ...
Child Development Theses. As of May 2015, all Sarah Lawrence College Master's theses are available digitally. They are made accessible in one of three ways: 1. "Thesis - Open Access" - If the document type in the metadata reads "Thesis - Open Access," the thesis is available to download immediately via the Download button on the ...
the stage for social and emotional development; it provides the base foundation for learning. The Office of the United Nations High Commissioner for Human Rights (OHCHR, 2016) has recognized play as a right for every child and has emphasized the importance of play to child development. Poverty, child labor, war, and neighborhood
understanding of child development and can support their ability to create high quality instructional environments and interactions. However, the literature on PD for ECEs is highly heterogeneous, making it difficult to understand what works for whom. The motivation for Study One of this dissertation stemmed from the large heterogeneity in the
Theses/Dissertations from 2024 PDF. An Examination of Early Childhood Leadership in Public Elementary Schools: A Mixed Methods Study, Wesam Alshahrani. PDF. The Influence of Teaching Digital Resources of MyPlate on Nutrition Knowledge, Attitudes, and Practice (KAP) for Healthy Eating Habits of Children, Afaf Alsofyani. PDF
Data analysis consisted of descriptive statistics and conducting two-sample t-tests. Results of the study indicated that 4K Child Development Program participants' scores were significantly higher on the domains of Mathematics (2017-2020, n = 120) and Language and Literacy (2018-2019, n = 40). Neither ProQuest nor its licensors make any ...
their children to internalize their values. Based on Baumrind's (1968, 1991) parenting theory and. social learning theory (Bandura, 1977), this study examined authoritative parenting style as a. moderator of intergenerational transmission of nutrition values from parent to child. Two.
Suleman, Shezeen (University of Pretoria, 2019-08) Early childhood development is a crucial factor in determining the later successes in a toddler's life. The active involvement of parents and teachers provide toddlers with the support and confidence to use language ...
The aim of this study is to explore the relationship between cooperative play and cognitive development in preschool age. The study involved 56 children aged 5—6 years (29 boys and 27 girls) of Moscow kindergartens. The article describes the main parameters of the observations of peer play (indicators of substitution, implementation of plan, play interaction). Analysis of the results ...
The development and testing of a social cognitive model of commitment: A structural equation analysis, Kahsi Ann Smith. 2007 Link. Parenting, child mastery motivation, and children's school readiness to learn in Turkey: A structural equation analysis, Aysegul Metindogan Wise. Link
Conceptual data model. Our first aim was to articulate a conceptual data model (Figure 1) that underscores important child developmental pathways to resilience, relevant resilience influencers within these pathways (i.e. direct and indirect factors that may serve as risk or protective factors), and pandemic impacts that bi-directionally interact with child development to either enhance or ...
Child Development Perspectives is an SRCD journal publishing brief articles spanning the entire spectrum of modern developmental science and its applications. We welcome papers from all fields that inform modern developmental science, written in accessible language for a wide audience. Our emphasis is on brief, well synthesized reviews of ...
Research with Children by Christensen, P. (Editor) ; James, A. (Editor) The entirely revised third edition of Research with Children forms a unique resource book on the methodology of childhood research with a core emphasis on theory driven practices. As in the previous two editions, this edition presents particular standpoints in the field, whilst also reflecting the latest developments in ...
on process quality, including the latest evidence on its associations with child development, learning and well-being. Chapter 2 focuses on multi-level system features that constrain or lever process quality, highlighting aspects that are specific to the provision of ECEC for children under the age of 3.
Abstract. Lev Vygotsky was a Russian psychologist active in the 1920s and early 1930s. He developed a theory of human development that emphasized the role of education and language. In his view ...
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles. Consult the top 50 dissertations / theses for your research on the topic 'Child development. Child psychology. Education.'. Next to every source in the list of references, there is an 'Add to bibliography' button.
The purpose of this study was to investigate adolescent knowledge of physical, mental, social, and emotional development of babies and young children. The study was concerned with the effects of the following factors on adolescent knowledge of child development; geographic location, family size, ordinal position, and years of homemaking classes in school. Questionnaires were administered to ...
It's difficult to keep up with science, we know. Here are the latest child development paper topics you may want to write about: Genetics effect on child development. Social media effects on children. Pollution effects on the development of children. Social insecurity effects.
The Patrice L. Engle Dissertation Grant for Global Early Child Development was inspired by Patrice L. Engle, Ph.D. (1944-2012) who was a pioneer and leader in global early child development. Following formal training in psychology at Stanford University, she launched a highly productive career that included positions in academia and ...
Here are some child development project topics you could try: Research asynchronous development. A project on physical growth. A project on gender role. A project on language and communication. Talk about the effects of malnutrition. Postnatal depression and child development.
Abstract. L. Vygotsky formulated the concept of 'development-generating learning' that was later elaborated by his disciples and followers. According to this concept, school instruction from the very beginning should be based on a process of supplying students with the systems of general essential knowledge in certain fields.
The thesis investigates the development of the word-prosodic structure in child German. The database consists of longitudinal production data of four monolingal children aged between 12 and 26 months. It is argued in the thesis that the children pass through four developmental stages which are characterized by non-uniform outputs.
The problem of formation of grammatical structure of language in pre-schoolers is fundamental for understanding development of children's speech. A brief description of the process of speech formation in preschool children suggests that a turning point in the development of speech is isolation of morphological elements of words from the merged speech material and their synthesis in their own ...