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A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). It is often a type of observational study, although it can also be structured as longitudinal randomized experiment.[1]
Longitudinal studies are often used in social-personality and clinical psychology, to study rapid fluctuations in behaviors, thoughts, and emotions from moment to moment or day to day; in developmental psychology, to study developmental trends across the life span; and in sociology, to study life events throughout lifetimes or generations; and in consumer research and political polling to study consumer trends. The reason for this is that, unlike cross-sectional studies, in which different individuals with the same characteristics are compared,[2] longitudinal studies track the same people, and so the differences observed in those people are less likely to be the result of cultural differences across generations, that is, the cohort effect. Longitudinal studies thus make observing changes more accurate and are applied in various other fields. In medicine, the design is used to uncover predictors of certain diseases. In advertising, the design is used to identify the changes that advertising has produced in the attitudes and behaviors of those within the target audience who have seen the advertising campaign. Longitudinal studies allow social scientists to distinguish short from long-term phenomena, such as poverty. If the poverty rate is 10% at a point in time, this may mean that 10% of the population are always poor or that the whole population experiences poverty for 10% of the time.
Longitudinal studies can be retrospective (looking back in time, thus using existing data such as medical records or claims database) or prospective (requiring the collection of new data).[citation needed]
Cohort studies are one type of longitudinal study which sample a cohort (a group of people who share a defining characteristic, typically who experienced a common event in a selected period, such as birth or graduation) and perform cross-section observations at intervals through time. However, not all longitudinal studies are cohort studies, as longitudinal studies can instead include a group of people who do not share a common event.[3]
As opposed to observing an entire population, a panel study follows a smaller, selected group - called a 'panel'.[4]
Advantages
When longitudinal studies are observational, in the sense that they observe the state of the world without manipulating it, it has been argued that they may have less power to detect causal relationships than experiments. However, because of the repeated observation at the individual level, they have more power than cross-sectional observational studies, by virtue of being able to exclude time-invariant unobserved individual differences and also of observing the temporal order of events.[5][failed verification]
Longitudinal studies do not require large numbers of participants (as in the examples below). Qualitative longitudinal studies may include only a handful of participants,[6] and longitudinal pilot or feasibility studies often have fewer than 100 participants.[7]
Disadvantages
Longitudinal studies are time-consuming and expensive.[8]
Longitudinal studies cannot avoid an attrition effect: that is, some subjects cannot continue to participate in the study for various reasons. Under longitudinal research methods, the reduction in the research sample will bias the remaining smaller sample.[citation needed]
Practice effect is also one of the problems: longitudinal studies tend to be influenced because subjects repeat the same procedure many times (potentially introducing autocorrelation), and this may cause their performance to improve or deteriorate.[citation needed]
Examples
Study name | Type | Country or region | Year started | Participants | Remarks |
---|---|---|---|---|---|
45 and Up Study | Cohort | Australia | 2006 | 267,153 | The 45 and Up Study is a longitudinal study of participants aged 45 years and over in New South Wales conducted by the Sax Institute. Researchers are able to analyze Study data linked to MBS and PBS data, the NSW cancer registry, State hospitalizations, and emergency department visits and mortality data.
The Study is used by both researchers and policymakers to better understand how Australians are aging and using health services to prevent and manage ill-health and disability and guide health system decisions. 45 and Up is the largest ongoing study of healthy aging in the Southern Hemisphere. |
Alzheimer's Disease Neuroimaging Initiative | Panel | International | 2004 | n/a | – |
Australian Longitudinal Study on Women's Health (ALSWH) | Cohort | Australia | 1996 | 50,000 | Includes four cohorts of women: born between 1921 and 1926, 1946–1951, 1973–1978 and 1989–1995 |
Nurses' Health Study | Cohort | United States | 1976 | 275,000 | Most expensive and largest observational health study in history |
The Jyväskylä Longitudinal Study of Personality and Social Development,[9] (JYLS) | Cohort | Finland | 1968 | 369 | The sample was drawn from 12 complete school classes. Data has been collected when the participants were 8, 14, 20, 27, 33, 36, 42 and 50 years old. |
Building a New Life in Australia : The Longitudinal Study of Humanitarian Migrants (BNLA)[10] | Cohort | Australia | 2013 | 2,399 | A longitudinal study of the settlement experience of humanitarian arrivals in Australia |
Colombian Longitudinal Survey by Universidad de los Andes (ELCA)[11] | Panel | Colombia | 2010 | 15,363[12] | Follows rural and urban households for increasing the comprehension of social and economic changes in Colombia |
Avon Longitudinal Study of Parents and Children (ALSPAC) | Cohort | United Kingdom | 1991 | 14,000 | – |
Born in Bradford | Cohort | United Kingdom | 2007 | 12,500 | – |
1970 British Cohort Study (BCS70) | Cohort | United Kingdom | 1970 | 17,000 | Monitors the development of babies born in the UK in one particular week in April 1970 |
British Doctors Study | Cohort | United Kingdom | 1951 | 40,701 | Monitored the health of British male doctors. It provided convincing evidence of the link between smoking and cancer. |
British Household Panel Study | Panel | United Kingdom | 1991 | 5,500 households (~10,000 individuals) | Modeled on the US Panel Study of Income Dynamics PSID study |
Busselton Health Study[13] | Panel | Australia | 1966 | 10,000 | – |
Caerphilly Heart Disease Study | Cohort | United Kingdom | 1979 | 2,512 | Male subjects (Wales) |
Canadian Longitudinal Study on Aging (CLSA-ÉLCV)[14] | Cohort | Canada | 2011 | 51,388[15] | All research participants will be followed until 2033 or death.[16] |
Child Development Project[17] | Cohort | United States | 1987 | 585 | Follows children recruited the year before they entered kindergarten in three US cities: Nashville and Knoxville, Tennessee, and Bloomington, Indiana |
Children of Immigrants Longitudinal Study (CILS) | Cohort | United States | 1992 | 5,262 | Florida |
Congenital Heart Surgeons' Society (CHSS) | Cohort | Canada | – | 5,000 | Various studies, managed by the Data Center Studies on Congenital Heart Diseases |
Dunedin Multidisciplinary Health and Development Study | Cohort | New Zealand | 1972 | 1,037 | Participants born in Dunedin during 1972–73 |
Study of migrants and squatters in Rio's Favelas | Cohort | Brazil | 1968 | n/a | The work of Janice Perlman, reported in her book Favela (2014)[18] |
Footprints in Time; the longitudinal study of Indigenous children[19] | Cohort | Australia | 2008 | 1,680 | Study of Aboriginal and Torres Strait Islander children in selected locations across Australia |
Fragile Families and Child Wellbeing Study | Cohort | United States | 1998 | n/a | Study being conducted in 20 cities |
Framingham Heart Study | Cohort | United States | 1948 | 5,209 | Massachusetts |
Genetic Studies of Genius | Cohort | United States | 1921 | 1,528 | The world's oldest and longest-running longitudinal study |
Socio-Economic Panel (SOEP) | Panel | Germany | 1984 | 12,000 | – |
Growing Up in Ireland (GUI) | Cohort | The Republic of Ireland | 2006 | 8,000 children 10,000 infants |
Growing Up in Ireland is an Irish Government-funded study of children being carried out jointly by the Economic and Social Research Institute and Trinity College Dublin. The study started in 2006 and follows the progress of two groups of children: 8,000 9-year-olds (Child Cohort/Cohort '98) and 10,000 9-month-olds (Infant Cohort/Cohort '08). |
Growing Up in New Zealand (GUiNZ) | Cohort | New Zealand | 2009 | 6,846 children |
GUiNZ is New Zealand's largest ongoing longitudinal study. It follows approximately 11% of all NZ children born between 2009 and 2010.[20] The study aims to look in depth at the health and well-being of children (and their parents) growing up in NZ. |
Growing Up in Scotland (GUS) | Cohort | Scotland | 2003 | 14,000 | Scotland |
Health and Retirement Study | Cohort | United States | 1988 | 22,000 | – |
Household, Income and Labour Dynamics in Australia Survey | Panel | Australia | 2001 | 25,000 | – |
Grant Study | Cohort | United States | 1939 | 268 | A 75-year longitudinal study of 268 physically and mentally healthy Harvard college sophomores from the classes of 1939–1944. |
Growing Up in Australia; the longitudinal study of Australian children[21] | Cohort | Australia | 2004 | 10,000 | – |
Midlife in the United States | Cohort | United States | 1983 | 6,500 | – |
Manitoba Follow-Up Study (MFUS) | Cohort | Canada | 1948 | 3,983 men | Canada's largest and longest running investigation of cardiovascular disease and successful aging |
Millennium Cohort Study (MCS) | Cohort | United Kingdom | 2000 | 19,000 | Study of child development, social stratification, and family life |
Millennium Cohort Study | Cohort | United States | 2000 | 200,000 | Evaluation of long-term health effects of military service, including deployments |
Minnesota Twin Family Study | Cohort | United States | 1983 | 17,000 (8,500 twin pairs) | – |
National Child Development Study (NCDS) | Cohort | United Kingdom | 1958 | 17,000 | – |
National Educational Panel Study (NEPS) | Cohort | Germany | 2009 | 60,000 | Study on the development of competencies, educational processes, educational decisions, and returns to education in formal, nonformal, and informal contexts throughout the life span |
National Longitudinal Surveys (NLS) | Cohort | United States | 1979 | 12,686 (NLSY79), 9,000 (approx., NLSY97) |
Includes four cohorts: NLSY79 (born 1957–64), NLSY97 (born 1980–84), NLSY79 Children and Young Adults, National Longitudinal Surveys of Young Women and Mature Women (NLSW) |
National Longitudinal Survey of Children and Youth (NLSCY) | Cohort | Canada | 1994 | 35,795 | Inactive since 2009 |
National Health and Nutrition Examination Survey (NHANES) | Cohort | United States | 1971 | 8,837 (since 1999) | Continual since 1999 |
Nature vs Nurture study | Cohort | United States | 1960 | 11[23] | Concluded in 1980. Controversial study by Peter B. Neubauer of twins and triplets separated at birth. Never published. |
Pacific Islands Families Study | Cohort | New Zealand | 2000 | 1,398 | – |
Panel Study of Belgian Households[24] | Panel | Belgium | 1992 | 11,000[25] | – |
Panel Study of Income Dynamics | Panel | United States | 1968 | 70,000 | Possibly the oldest household longitudinal survey in the US |
The Raine Study | Cohort | Australia | 1989 | 5,768 (Gen1 + Gen2) 750 (Gen3) 100 (Gen0) |
The Raine Study is based in Perth, Western Australia. It has followed the same group of pregnant women (Gen1) and their babies (Gen2) who were born into the study between 1989 and 1992. Its original aim was to investigate the benefits of more frequent ultrasound scans on infant health.[26] It now studies the impact that early life factors (from the womb onwards) have on health throughout life.[27] The Raine Study now includes 4 generations of cohort members. |
Rotterdam Study | Cohort | Netherlands | 1990 | 15,000 | Focus is on inhabitants of Ommoord, a suburb of Rotterdam |
Seattle 500 Study | Cohort | United States | 1974 | 500 | Study of the effects of prenatal health habits on human development |
Stirling County Study | Cohort | Canada | 1952 | 639 | Long-term study epidemiology of psychiatric disorders. Two cohorts were studied (575 from 1952 to 1970; 639 from 1970 to 1992).[28] |
Study of Health in Pomerania | Cohort | Germany | 1997 | 15,000 | Investigates common risk factors, sub-clinical disorders and manifest diseases in a high-risk population |
Study of Mathematically Precocious Youth | Cohort | United States | 1972 | 5,000 | Follows highly intelligent people identified by age 13. |
Survey of Health, Ageing, and Retirement in Europe (SHARE) | Panel | Europe | 2002 | 120,000 | Multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of individuals aged 50 or over |
Irish Longitudinal Study on Ageing (TILDA) | Cohort | Ireland | 2009 | 8,500 | Studies health, social and financial circumstances of the older Irish population |
New Zealand Attitudes and Values Study | – | New Zealand | 2009 | n/a | – |
Seattle Longitudinal Study | Cohort | United States | 1956 | 6,000 [29] | – |
Understanding Society: The UK Household Longitudinal Study | Panel | United Kingdom | 2009 | 100,000 | Incorporates the British Household Panel Study |
Up Series | Cohort | United Kingdom | Zdroj:https://en.wikipedia.org?pojem=Longitudinal_study