Are you over 18 and want to see adult content?
More Annotations
A complete backup of insideoneart.com
Are you over 18 and want to see adult content?
A complete backup of ecg-simulator.com
Are you over 18 and want to see adult content?
A complete backup of travelfeeder.com
Are you over 18 and want to see adult content?
A complete backup of sanlamitrade.co.za
Are you over 18 and want to see adult content?
Favourite Annotations
A complete backup of https://sosmediterranee.de
Are you over 18 and want to see adult content?
A complete backup of https://d-fine.com
Are you over 18 and want to see adult content?
A complete backup of https://touratech-usa.com
Are you over 18 and want to see adult content?
A complete backup of https://schloss-solitude.de
Are you over 18 and want to see adult content?
A complete backup of https://papertiger.org
Are you over 18 and want to see adult content?
A complete backup of https://yifan.lu
Are you over 18 and want to see adult content?
A complete backup of https://alken-maes.be
Are you over 18 and want to see adult content?
A complete backup of https://zzcgs.com.cn
Are you over 18 and want to see adult content?
A complete backup of https://naukas.com
Are you over 18 and want to see adult content?
A complete backup of https://monikabansal.co.in
Are you over 18 and want to see adult content?
A complete backup of https://citysuntimes.com
Are you over 18 and want to see adult content?
Text
ACCESSING LSAC DATA
CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. 10. ADOLESCENTS’ RESILIENCE TRANSITION TO SECONDARY SCHOOL5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as DATA DICTIONARY TOPIC CONSTRUCTS Data Users Workshop. Workshops are run by AIFS to assist data users, those considering becoming users, or those who are interested in learning more about LSAC data, to gain confidence in understanding and navigating the datasets. 7. TEACHING PRACTICES IN AUSTRALIAN PRIMARY SCHOOLSSEE MORE ON GROWINGUPINAUSTRALIA.GOV.AU GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. 10. ADOLESCENTS’ RESILIENCE TRANSITION TO SECONDARY SCHOOL5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as DATA DICTIONARY TOPIC CONSTRUCTS Data Users Workshop. Workshops are run by AIFS to assist data users, those considering becoming users, or those who are interested in learning more about LSAC data, to gain confidence in understanding and navigating the datasets. 7. TEACHING PRACTICES IN AUSTRALIAN PRIMARY SCHOOLSSEE MORE ON GROWINGUPINAUSTRALIA.GOV.AU GROWING UP IN AUSTRALIA Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 1. INTRODUCTION AND OVERVIEW OF LSAC DATA 1.1 Introduction to the report. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is Australia's first nationally representative longitudinal study of child development.The purpose of the study is to provide data that enable a comprehensive understanding of development and life-course trajectories within Australia's current social, economic and cultural environment. 7. ADOLESCENT HELP-SEEKING The LSAC data show that at each adolescent age group, more adolescents reported help seeking from friends and parents than from teachers. At age 10-11, for example, 90% of young people said they would talk to their mother about a problem, while only 42% would talk to a teacher in the future ().At age 14-15, 69% reported seeking help for a personal or emotional problem from either parent, while 8. PRESCHOOL AND CHILDREN’S READINESS FOR SCHOOL Figure 8.4: Participation in early childhood education and care at ages three and four, by how often the study child was read to at age 2-3. Note: Sample restricted to those who started full-time school in 2009 ( n = 3,034). Preschool includes stand-alone preschool and preschool as part of long day care settings. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for 8. SHOP OR SAVE: HOW TEENS MANAGE THEIR MONEY Managing money day to day - keeping track of expenses and avoiding getting into debt - is an important life skill. Money management, along with financial information seeking and the ability to plan and save for important purchases and unexpected expenses, makes people financially capable (Australian Securities & Investments Commission (ASIC), 2018). 1 For many people, economic socialisation CHILDREN'S VIEWS ABOUT PARENTAL SEPARATION Note: A chi-square test was used to compare response distributions between the two groups of children (χ 2 (4, n = 3547) = 764.81; p < .001).. Of the children with a non-resident parent, nearly one-half (47%) described the relationship between their parents as either friendly or cooperative, with similar proportions reporting each ofthese options.
4. PARENTAL INFLUENCES ON ADOLESCENTS' ALCOHOL USE 4.1 Introduction. Alcohol has a complex role in Australian society. While most Australian adults drink alcohol at levels that cause few adverse effects, a substantial proportion drink at levels that increase their risk of alcohol-related harm (National Health and Medical Research Council , 2009). GROWING UP IN AUSTRALIA AND FOOTPRINTS IN TIME: THE LSAC Footprints in Time: Learning language, learning culture. Laura Bennetts Kneebone, Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) Opinions and stereotypes surrounding Indigenous languages are widespread, but what do the linguistic environments of Australia's Aboriginal and Torres Strait Islander children really look like? GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument.ABOUT THE STUDY
About the Study. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 young people and their families from all parts of Australia. It is conducted in partnership between the Department of Social Services. with advice provided by a consortium of leading researchers. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toRECENT PUBLICATIONS
These recent publications used LSAC data in their research.Association of in utero antibiotic exposure on childhood ear infection trajectories: Results from a national birth cohort studyHu YJ et al. (2021) Journal of paediatrics and child healthThis paper investigated associations between antibiotic exposure in the womb and incidence of ear infections during the first 10 yearsTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. TRANSITION TO SECONDARY SCHOOL 5.1Introduction. The transition from primary to secondary school marks a time of significant change for many children (Hanewald, 2013). It is a time of adjustment to a new school with new classmates and teachers, and to being one of the youngest in the school rather than the oldest. DATA DICTIONARY GLOSSARY Data Dictionary glossary. Variable name. As it appears on the LSAC dataset. Variable name without age. Useful for sorting together like variables from different waves and cohorts. Topic number. Allows derived items to be sorted in with the input variables they come from.Question id.
5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 7. ADOLESCENT HELP-SEEKING The LSAC data show that at each adolescent age group, more adolescents reported help seeking from friends and parents than from teachers. At age 10-11, for example, 90% of young people said they would talk to their mother about a problem, while only 42% would talk to a teacher in the future ().At age 14-15, 69% reported seeking help for a personal or emotional problem from either parent, while TEENAGERS' EXPERIENCES OF DISCRIMINATION: SNAPSHOT SERIES In focus. Children as they passed through the secondary school years are the focus of this snapshot. 1 These children reported on their experiences of discrimination when they were 12-13 years old in 2012, 14-15 years in 2014 and 16-17 years old in 2016. Teens were asked whether, in the past six months, they had been treated unfairly or badly because of their race (language or accent, skin GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument.ABOUT THE STUDY
About the Study. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 young people and their families from all parts of Australia. It is conducted in partnership between the Department of Social Services. with advice provided by a consortium of leading researchers. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toRECENT PUBLICATIONS
These recent publications used LSAC data in their research.Association of in utero antibiotic exposure on childhood ear infection trajectories: Results from a national birth cohort studyHu YJ et al. (2021) Journal of paediatrics and child healthThis paper investigated associations between antibiotic exposure in the womb and incidence of ear infections during the first 10 yearsTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. TRANSITION TO SECONDARY SCHOOL 5.1Introduction. The transition from primary to secondary school marks a time of significant change for many children (Hanewald, 2013). It is a time of adjustment to a new school with new classmates and teachers, and to being one of the youngest in the school rather than the oldest. DATA DICTIONARY GLOSSARY Data Dictionary glossary. Variable name. As it appears on the LSAC dataset. Variable name without age. Useful for sorting together like variables from different waves and cohorts. Topic number. Allows derived items to be sorted in with the input variables they come from.Question id.
5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 7. ADOLESCENT HELP-SEEKING The LSAC data show that at each adolescent age group, more adolescents reported help seeking from friends and parents than from teachers. At age 10-11, for example, 90% of young people said they would talk to their mother about a problem, while only 42% would talk to a teacher in the future ().At age 14-15, 69% reported seeking help for a personal or emotional problem from either parent, while TEENAGERS' EXPERIENCES OF DISCRIMINATION: SNAPSHOT SERIES In focus. Children as they passed through the secondary school years are the focus of this snapshot. 1 These children reported on their experiences of discrimination when they were 12-13 years old in 2012, 14-15 years in 2014 and 16-17 years old in 2016. Teens were asked whether, in the past six months, they had been treated unfairly or badly because of their race (language or accent, skin GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument.ABOUT THE STUDY
About the Study. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 young people and their families from all parts of Australia. It is conducted in partnership between the Department of Social Services. with advice provided by a consortium of leading researchers. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toRECENT PUBLICATIONS
These recent publications used LSAC data in their research.Association of in utero antibiotic exposure on childhood ear infection trajectories: Results from a national birth cohort studyHu YJ et al. (2021) Journal of paediatrics and child healthThis paper investigated associations between antibiotic exposure in the womb and incidence of ear infections during the first 10 yearsTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. TRANSITION TO SECONDARY SCHOOL 5.1Introduction. The transition from primary to secondary school marks a time of significant change for many children (Hanewald, 2013). It is a time of adjustment to a new school with new classmates and teachers, and to being one of the youngest in the school rather than the oldest. DATA DICTIONARY GLOSSARY Data Dictionary glossary. Variable name. As it appears on the LSAC dataset. Variable name without age. Useful for sorting together like variables from different waves and cohorts. Topic number. Allows derived items to be sorted in with the input variables they come from.Question id.
5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 7. ADOLESCENT HELP-SEEKING The LSAC data show that at each adolescent age group, more adolescents reported help seeking from friends and parents than from teachers. At age 10-11, for example, 90% of young people said they would talk to their mother about a problem, while only 42% would talk to a teacher in the future ().At age 14-15, 69% reported seeking help for a personal or emotional problem from either parent, while TEENAGERS' EXPERIENCES OF DISCRIMINATION: SNAPSHOT SERIES In focus. Children as they passed through the secondary school years are the focus of this snapshot. 1 These children reported on their experiences of discrimination when they were 12-13 years old in 2012, 14-15 years in 2014 and 16-17 years old in 2016. Teens were asked whether, in the past six months, they had been treated unfairly or badly because of their race (language or accent, skin GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA USER GUIDE: THE LONGITUDINAL STUDY OF AUSTRALIAN About this guide. This data user guide is a reference tool for the users of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) datasets.. It is intended to provide the necessary information to be able to use the LSAC data.TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as 10. ADOLESCENTS’ RESILIENCE 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 11. EATING PROBLEMS IN MID‑ADOLESCENCE The LSAC data show that only a very small proportion of 14-15 year olds met the diagnostic criteria for partial syndromal anorexia nervosa or bulimia nervosa as measured by the BEDT (Table 11.1 ). 2 In particular, anorexia nervosa was extremely uncommon for both boys and girls, with less than half a percent meeting the diagnostic criteria. . The proportion meeting the diagnostic criteria for DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument.ABOUT THE STUDY
About the Study. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 young people and their families from all parts of Australia. It is conducted in partnership between the Department of Social Services. with advice provided by a consortium of leading researchers. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes toRECENT PUBLICATIONS
These recent publications used LSAC data in their research.Association of in utero antibiotic exposure on childhood ear infection trajectories: Results from a national birth cohort studyHu YJ et al. (2021) Journal of paediatrics and child healthThis paper investigated associations between antibiotic exposure in the womb and incidence of ear infections during the first 10 yearsTECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. TRANSITION TO SECONDARY SCHOOL 5.1Introduction. The transition from primary to secondary school marks a time of significant change for many children (Hanewald, 2013). It is a time of adjustment to a new school with new classmates and teachers, and to being one of the youngest in the school rather than the oldest. DATA DICTIONARY GLOSSARY Data Dictionary glossary. Variable name. As it appears on the LSAC dataset. Variable name without age. Useful for sorting together like variables from different waves and cohorts. Topic number. Allows derived items to be sorted in with the input variables they come from.Question id.
5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 7. ADOLESCENT HELP-SEEKING The LSAC data show that at each adolescent age group, more adolescents reported help seeking from friends and parents than from teachers. At age 10-11, for example, 90% of young people said they would talk to their mother about a problem, while only 42% would talk to a teacher in the future ().At age 14-15, 69% reported seeking help for a personal or emotional problem from either parent, while TEENAGERS' EXPERIENCES OF DISCRIMINATION: SNAPSHOT SERIES In focus. Children as they passed through the secondary school years are the focus of this snapshot. 1 These children reported on their experiences of discrimination when they were 12-13 years old in 2012, 14-15 years in 2014 and 16-17 years old in 2016. Teens were asked whether, in the past six months, they had been treated unfairly or badly because of their race (language or accent, skin GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to ANNUAL STATISTICAL REPORTS Annual statistical reports. 2018 Annual statistical report. The ninth volume in the LSAC Annual Statistical Report series. 2017 Annual statistical report. The eighth volume in the LSAC Annual Statistical Report series. 2016 Annual statistical report. The seventh volume in the LSAC Annual Statistical Report series. 2015 Annual statisticalreport.
10. ADOLESCENTS’ RESILIENCE 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 7. TEACHING PRACTICES IN AUSTRALIAN PRIMARY SCHOOLSSEE MORE ON GROWINGUPINAUSTRALIA.GOV.AU GROWING UP IN AUSTRALIAABOUT THE STUDYPARTICIPANTSRESEARCH FINDINGSDATA AND DOCUMENTATIONPRIVACY AND ETHICS Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia.ACCESSING LSAC DATA
DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument. CHILD HEALTH CHECKPOINT DOCUMENTATION The Child Health CheckPoint Rationale document describes the source of each measure, it's rationale for inclusion in CheckPoint, how it was administered and scored, and any modifications from the original measure or previous LSAC waves. This paper summarises data issues that may impact on the use of particular variables, emphasizes changes to ANNUAL STATISTICAL REPORTS Annual statistical reports. 2018 Annual statistical report. The ninth volume in the LSAC Annual Statistical Report series. 2017 Annual statistical report. The eighth volume in the LSAC Annual Statistical Report series. 2016 Annual statistical report. The seventh volume in the LSAC Annual Statistical Report series. 2015 Annual statisticalreport.
10. ADOLESCENTS’ RESILIENCE 10. USE OF TECHNOLOGY IN THE CLASSROOM The use of information and communication technology (ICT) in schools has increased dramatically in recent years (Orlando, 2014). This has been driven by the recognition that students need to be skilled in the use of these technologies in order to participate effectively in an increasingly digital world (Buabeng-Andoh, 2012; De Bortoli, Buckley, Underwood, O'Grady & Gebhardt, 2013); as well as5. YOUNG CARERS
5.1 Background. Children growing up in a household with a person with a disability, long-term illness or frailty due to old age may take on caring responsibilities of different types and intensities. Tasks undertaken by young carers include a wide range of physical, household, medical, emotional and 6. RISKY DRIVING AMONG AUSTRALIAN TEENS The most common types of risky driving among drivers aged 16-17 years were speeding and driving when very tired (Table 6.2). About seven in 10 P-platers and four in 10 learner drivers said that they had exceeded the speed limit by up to 10 km/h on at least one recent trip, as had one in 15 unlicensed drivers. 7. TEACHING PRACTICES IN AUSTRALIAN PRIMARY SCHOOLSSEE MORE ON GROWINGUPINAUSTRALIA.GOV.AU DATA AND DOCUMENTATION The Child Health CheckPoint is a special one-off physical health assessment offered to the 11-12 year old children in Growing Up in Australia. Data linkages. Learn more about LSAC data and gain confidence in understanding and navigating the datasets from the experts. Response rates by wave and instrument. WELCOME PARTICIPANTS! Thank you. If you are a participant of Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) – thank you for your contribution to the study so far.. You were one of 10,000 families invited to join the study, and you are a representation ofwhat it
ANNUAL REPORTS
The 2009-10 Annual Report provides an overview of the mid-wave 3.5's preliminary findings when study children were aged 5-6 and 9-10 years old. The findings cover topics of schooling, health including puberty and use of technology. The 2008-09 Annual Report for Growing Up In Australia: The Longitudinal Study of Australian Children (LSAC DATA ISSUES: WAVES 1 TO 8 1. Introduction. This paper provides a summary of data-related issues that have emerged over the life of Growing up in Australia: The Longitudinal Study of Australian Children (LSAC).The chapters were initially published on the LSAC website as a series of Issues Papers designed to assist users of the LSAC data as they undertake research and analysis of the LSAC datasets.RESEARCH TEAM
ABS is responsible for data collection and delivery, instrument development and management of the Growing Up in Australia sample. A consortium of leading researchers at research institutions and universities throughout Australia provides advice to the study. The consortium brings together significant research and managementexpertise.
TECHNICAL PAPERS
Technical paper no. 4, July 2007. This paper by Jennifer Baxter analyses the Wave 1 children's time use diaries for the 4-5 year cohort of Growing Up in Australia. The paper demonstrates some of the ways these time use data can be used, while primarily exploring the missing data in the diaries. FAQS | GROWING UP IN AUSTRALIA In 2000–2001, the Government announced its intention to undertake a comprehensive, national longitudinal study of children and their families. Growing Up in Australia is intended to make a major contribution by establishing an up-to-date evidence base for guiding policies that will promote the optimal development and wellbeing ofyoung
GROWING UP IN AUSTRALIA: THE LONGITUDINAL STUDY OF Contents. 1. Introduction. An overview of the study’s purpose and design. 2. Key findings from the Annual Statistical Report 2018. Summary of the key findings from each individual report. TRANSITION TO SECONDARY SCHOOL 5.1Introduction. The transition from primary to secondary school marks a time of significant change for many children (Hanewald, 2013). It is a time of adjustment to a new school with new classmates and teachers, and to being one of the youngest in the school rather than the oldest. 1. INTRODUCTION AND OVERVIEW OF LSAC DATA 1.1 Introduction to the report. Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is Australia's first nationally representative longitudinal study of child development.The purpose of the study is to provide data that enable a comprehensive understanding of development and life-course trajectories within Australia's current social, economic and cultural environment.settings = respond
AIFS SECONDARY LINKS* Skip to content
* Contact us
GROWING UP IN AUSTRALIASEARCH FORM
Search
MAIN MENU
* About the Study
* Annual reports
* FAQs
* Research team
* Policy & impact
* Overseas studies
* Important discoveries* Participants
* Update your details* Support services
* Your data's journey * You are an influencer* Research findings
* Annual Statistical Reports* Research reports
* Journal articles: FLoSse * LSAC research conferences * Important discoveries * Data and documentation * Accessing LSAC data * Child Health CheckPoint documentation* Data user guide
* Data dictionary
* Study questionnaires * Rationale documents* Issues paper
* Technical papers
* Data frequencies
* Discussion papers
* School Subject Coder * Using LSAC questions in other studies * Privacy and ethics* Privacy statement
* Wave 9 privacy
* Privacy FAQs: Online survey* Privacy policies
* Ethics
* Approval from education authorities * Update your details* LSAC News
Main menuMenuAbout the Study- Annual reports- FAQs- Research team- Policy & impact- Overseas studies- Important discoveriesParticipants- Update your details- Support services- Your data's journey- You are an influencerResearch findings- Annual Statistical Reports- Research reports- Journal articles: FLoSse- LSAC research conferences- Important discoveriesData and documentation- Accessing LSAC data- Child Health CheckPoint documentation- Data user guide- Data dictionary- Study questionnaires- Rationale documents- Issues paper- Technical papers- Data frequencies- Discussion papers- School Subject Coder- Using LSAC questions in other studiesPrivacy and ethics- Privacy statement- Wave 9 privacy- Privacy FAQs: Online survey- Privacy policies- Ethics- Approval from education authoritiesUpdate your detailsLSAC News GROWING UP IN AUSTRALIA*
ACCESS WAVE 8 DATA NOW*
RISKY DRIVING AMONG AUSTRALIAN TEENS*
ARE CHILDREN AND ADOLESCENTS GETTING ENOUGH SLEEP?*
ANNUAL STATISTICAL REPORT 2018*
YOU ARE AN INFLUENCERFEATURED CONTENT
*
Find out more
Access Wave 8 data now*
Read more
Risky driving among Australian teens*
Read more
Are children and adolescents getting enough sleep?*
Find out more
LSAC Annual Statistical Report 2018*
Find out more
You are an influencer* 1
* 2
* 3
* 4
* 5
* Previous
* Next
_Growing Up in Australia_: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of 10,000 children and families from all parts of Australia. WAVE 9 ONLINE SURVEY Go to the survey page to begin Complete your survey YOUR CONTACT DETAILS Moved? Changed your number?Update your details
Start your survey
COMPLETE YOUR WAVE 9 ONLINE SURVEY We’re looking forward to hearing how you’ve been going this year.Read more
SOME IMPORTANT DISCOVERIES OUR PARTICIPANTS HELPED MAKE Our participants have helped us make some discoveries that will help shape public policy and improve the lives of Australian families. COMPLETE YOUR WAVE 9 ONLINE SURVEYStart your survey
We’re looking forward to hearing how you’ve been going this year. SOME IMPORTANT DISCOVERIES OUR PARTICIPANTS HELPED MAKERead more
Our participants have helped us make some discoveries that will help shape public policy and improve the lives of Australian families. GROWING UP IN AUSTRALIA PARTNERS: The Australian Institute of Family Studies acknowledges the traditional country throughout Australia on which we gather, live,work and stand.
We acknowledge all traditional custodians, their Elders past, present and emerging, and we pay our respects to their continuing connection to their culture, community, land, sea and rivers. © 2020 Australian Institute of Family Studies.FOOTER SUB MENU
* Sitemap and Feeds
×
Search
Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0