Title: APC Models and Methods for Crosssectional Research Designs
1APC Models and Methods for Cross-sectional
Research Designs
- Comments on the State of the Art
- Duane Alwin
- Sociology and Demography
- Penn State University
2APC Models and MethodsIssues to address
- (1) How important is theory?
- (2) What are the optimal designs?
- (3) How best do we explore available repeated
cross-sectional surveys? - (4) Substantive areas as examples of application
of APC ideas
3Guidelines for sense makingwith respect to APC
models
- Theoretical considerations concerning aging
processes, impacts of historical events and
processes, and the phenomena of cohorts and
generations. - Research design and data moving beyond
cross-sectional designs. - The role of exploratory methods in making sense
of repeated cross-sections and the importance of
looking at the data.
4Theoretical assumptions of APCs
- Theoretical concept
- Aging age-related within person change
- Historical events eras, epochs and times
- Generations, youth movements and social change
- APC Operationalization
- Agebetween person differences in age
- Periodeffects tied to the date of the survey
- Cohortshistorical location versus historical
participation
5Theoretical Limitations of APCs
- Theoretical concept
- Aging age-related within person change
- Historical events eras, epochs and times
- Generations, youth movements and social change
- APC Limitations
- Between person differences are not the same thing
- Periodan effect tied to the date of the survey
is a limiting concept - Cohortshistorical location is not the same thing
as historical participation
6Beyond APC models
- Theoretical concept
- Aging age-related within person change
- Historical events eras, epochs and times
- Generations, youth movements and social change
- Remedies
- Latent curve models using longitudinal data
- Read W.H. Sewells Logics of History
- Cohorts vs. generationspay better attention to
classical writings of Mannheim and Ryder
7What is Aging?
- Changes within persons associated with the
passage of biographic time - Changes linked to species-specific biological
(life cycle) and/or neurological processes of
maturation and development (gains and losses) - Changes linked to culturally constructed
age-graded experiences, i.e. life stages or phases
8Example of Word FluencyGSS
- Alwin, D.F. (1991). Family of Origin and Cohort
Differences in Verbal Ability. American
Sociological Review, 56, 625-638. - Alwin, D.F. McCammon, R.J. (1999). Aging vs.
Cohort Interpretations of Intercohort Differences
in GSS Verba Scores. American Sociological
Review, 64, 272-286. - Alwin, D.F. McCammon, R.J. (2001). Aging,
Cohorts and Verbal Ability. Journal of
Gerontology Social Sciences, 56B, S151-S161. - Alwin, D.F. (2008). History, Cohorts, and
Cognitive Aging. In H. Bosworth C. Hertzog
(Eds.), Cognitive, Social and Psychological
Development Essays in Honor of Warner Schaie.
Washington, D.C. American Psychological
Association.
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13Example of Immediate Word RecallHRS
- Alwin, D.F. and others. (2008). Population
Processes and Cognitive Aging. In S.M. Hofer
D.F. Alwin (Eds.), Handbook of Cognitive
AgingInterdisciplinary Perspectives (pp. 69-89).
Thousand Oaks, CA Sage Publications. - Alwin, D.F. (2008). The Aging Mind in Social and
Historical Context. Unpublished research
monograph.
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15Logic of Growth Curve Analysis
- Multiple group models where each group is a
different birth cohort - Begin with an age-based model this is the
conventional convergence model that assumes no
cohort effects - Remove constraints on cohort-specific intercepts
and slopes - Examine plots of the data and goodness-of-fit
information
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18Historical Events and Processes
- How do events and processes occurring in
historical time affect the lives of individuals?
19Three ways to think about the effects of
historical time
- Episodic Events e.g., wars, recessions,
depressions, political crises - Eras, epochs or historical periods e.g., the
60s, the sexual revolution, the cultural
revolution, the womens movement, the Civil
Rights era - Transitions or gradual social change
20Examples
- Research on the
- Aging of the Baby Boomers
- Alwin, D.F. (1998). The Political Impact of the
Baby Boom Are there Generational Differences in
Political Beliefs and Behavior? Generations, 22,
4654.
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24 25 26Effects of Cohort
- Enduring attributes of persons associated with
unique placement of birth cohorts in historical
time - Result from the intersection of biographical and
historical time - Linked to culturally constructed generational
experiences
27Generation as historical participation
- An element of historical time
- Common experience of participation in movements
brought to the individual through historical
events - No necessary convergence with other concepts of
generation - Persons are nested in social movements and social
organizations that are nested within time periods
and groups of cohorts
28References
- Alwin, D.F. McCammon, R.J. (2003).
Generations, Cohorts and Social Change. In J.T.
Mortimer M.J. Shanahan (Eds.), Handbook of the
Life Course (pp. 23-49). New York Kluwer Acadmic
/ Plenum Publishers. - Alwin, D.F. McCammon, R.J. (2007). Rethinking
Generations. Research in Human Development, 4,
219-237. - Alwin, D.F. (2008). Whos Talking About My
Generation? In M. Silverstein R. Giarrusso
(Eds.), From Generation to Generation Continuity
and Change in Aging Families, Baltimore, MD
Johns Hopkins University Press.
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31Cohort replacement theory
- Human beings tend to develop their beliefs and
orientations early in adulthood. - Differences are likely to develop between cohorts
due to differences in historical
location/participation. - Beliefs and orientations remain relatively stable
over the adult life span. - Social change results from personnel replacement
32Karl Mannheim in The Problem of Generations (1952)
- Even if the rest of ones life consisted of one
long process of negation and destruction of the
natural world view acquired in youth, the
determining influence of these early impressions
would still be predominant.
33Ryder on Individual development
- (p. 851) Implicit in the foregoing account of the
interdependency of social change and cohort
differentiation is the assumption that an
individuals history is highly stable or at least
continuous. The model dominating the literature
on human development presents life as a movement
from amorphous plasticity through mature
competence toward terminal rigidity.
34Ryder on Stability
- The continuity of individual life (p. 856)A
persons past affects his present and his present
his future. Persistence is enhanced by the
tendency to structure inputs, so that each will
disturb as little as possible the previous
cognitive, normative or even esthetic design,
and, in the extreme, to reject dissonant items.
An individuals life is an organic entity, and
the successive events that constitute it are not
random but patterned.
35Ryder on Stability
- The role of early socialization(p. 856)every
society seizes upon the circumstances of birth as
modes of allocating status, limiting the degrees
of freedom for the persons path through life.
Virtually every subsequent occurrence will depend
upon the characteristics present at birth sex,
race, kinship, birthplace and so forth.
36Ryder on Stability
- The role of commitment to a way of life(p.
857)Beyond the age of noncommitment, the new
adult begins a process of involvement in the
various spheres of life, in which his actions and
those of others progressively reduce the degrees
of freedom left to him in the societal scheme.
Within each role, once allocated, he forms a
growing commitment to a line of activity.
Conformity to (social structures) implies
resistance to change.
37Ryder on Stability
- As life takes on a steadier tempo, routinization
predominates(p. 858)Routines are barriers to
change because they limit confrontation with the
unexpected and the disturbing. Older people learn
to exercise greater control over a narrower
environment, and avoid risks of venturing into
unstructured situations. The feasibility of
personal transformation is probably limited more
by restricted membership than by psychological
aging.
38Alternative theory
- Humans do acquire their beliefs and orientations
in young adulthood, but cohorts do not differ
substantially in their experiences. - There is a great deal of heterogeneity in the
generational experiences of a given cohort - Persons tend to change their positions on issues
across the life span and remain relatively
flexible over time. - Intra-cohort change, not cohort replacement, is
responsible for the bulk of social change.
39Kenneth Gergen in Life-Span Development (1980)
- For any individual the life course seems
fundamentally open-ended. Existing developmental
patterns appear potentially evanescent, the
unstable result of the particular juxtaposition
of contemporary historical events. Even with
full knowledge of the individuals past
experience, one can render little more than a
probabilistic account of the broad contours of
future development.
40Peter Berger in The Homeless Mind (1974)
- Modern identity is peculiarly open Not only
does there seem to be a great objective capacity
for transformations of identity in later life,
but there is also a subjective awareness and even
readiness for such transformations.
41Peter Berger in A Rumour of Angels (1971)
- But even when the world of everyday life retains
its massive taken-for-granted reality it is
threatened by the marginal situations of human
experience the haunting presence of
metamorphoses.
42Frank Musgrove in Margins of the Mind (1977)
- The evidence suggests that adults are capable
of more fundamental change than many
psychologists will admit, but that
consciousness, identity, and the self are
far more resilient and resistant to change than
important schools of sociology and social
psychology will concede. We are not, in fact,
chameleons. -
43Optimal Designs
- Theoretical concept
- Aging age-related within person change
- Historical events eras, epochs and times
- Generations, youth movements and social change
- APC Operationalization
- Repeated observations on the same persons
- Historical and archival data
- Supplemental data on cohort experiences
44The Classic Identification Problem
- There is a linear dependence among variables that
quantify aging, period and cohort (A, P and C) - Age Period - Cohort
- Period Cohort Age
- Cohort Period Age
-
- If you know any two of these variables you know
the third - By removing one of the factors we can more
clearly see the natural confounding of the other
two
45Implications of the Identification Problem
- Cross-sectional comparisons of age groups include
effects of both aging and cohort - Cross-time comparisons within cohorts include
effects of both aging and period
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48Final caveatMortality Selection
- Mortality is obviously selective and to the
extent that selectivity is linked to factors
associated with levels of outcome variables, then
mortality selection is a potential explanation
for many findings of cohort effects. Indeed, it
might be the case that such performance-linked
selectivity in survivorship might be masking a
true cohort effect that favors more recent born
cohorts. Therefore a strong argument can be made
that differential age-specific mortality rates
should be taken into account when examining age
differences in health-related outcomes, or when
comparing cohorts in patterns of age-related
within-cohort change.
49Conclusions
- The reality is that for many developmental
phenomena there are plausible expectations for
the simultaneous influence of aging, period and
cohort factors - The complete understanding of human behavior must
consider the plausibility of all of these
influences - The natural confounding of the effects of aging,
cohorts and periods in longitudinal data makes it
difficult (if not impossible) to detect their
independent effects
50Conclusions (continued)
- Historically analysts of longitudinal data have
not made their assumptions about the effects of
aging, cohort and period effects explicit - Early solutions to the identification problem in
developmental research produced futile results - There are no ready made solutions to the
confounding of aging, period and cohort effects,
and no substitute for careful and informed
analysis of longitudinal data