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Background: While age-related increases of between-person variability in a variety of cognitive measures are commonly reported in cross-sectional studies, the nature of short-term intraindividual fluctuation in elderly people’s performance is relatively unexplored. Objective: The goal of the present study is to examine short-term fluctuations in elderly people’s sensorimotor functioning and their relations to individual differences in verbal and spatial memory. Methods: Fluctuations in old adults’ (mean = 75.71 years, SD = 6.93 years) sensorimotor performance were investigated by biweekly measurements spanning approximately 7 months. Sensorimotor performance was measured by three walking tasks, including the duration and the number of steps taken to walk a 360-degree circle and to walk 10 feet both at normal and fast pace. Performances of verbal and spatial memory were assessed by weekly measurements of digit memory span, memory for short text and spatial recognition. Results: The magnitude of intraindividual fluctuation in most sensorimotor and memory tasks examined was at least half as great as the level of individual differences across persons. In addition, intraindividual fluctuation in sensorimotor performance is a relatively stable individual attribute, which correlates positively with age and negatively with the levels of sensorimotor, text and spatial memory performance. Although a substantial amount of individual differences in intraindividual fluctuation was shared with mean performance level, variance component and hierarchical regression analyses showed that intraindividual fluctuation in walking steps added significant independent contribution over and above that given by level of performance in predicting text and spatial memory. Conclusion: Taking these results together, we suggest that intraindividual fluctuations in elderly people’s performance should not be ignored or simply treated as measurement error; rather, they are potentially important empirical variables for understanding sensory and cognitive aging and the nature of intraindividual response variations in general.Copyright © 2001 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Dealing with others entails both stability and short-term variability of the functions and outcomes of social relationships. The authors argue that patterns of short-term intraindividual variability in social relationships and self-efficacy beliefs contribute interpretable information about social adaptation. On the basis of 23 repeated weekly measurements of a sample of 32 participants ages 56 to 88 years, the authors examined the extent to which fluctuations in perceived relational outcomes are related to fluctuations of social self-efficacy. Results showed that individuals differ systematically in respect to the extent to which they experience and display fluctuations in self-efficacy and availability of social relationships. Moreover, when individuals perceive others to be available across time, social self-efficacy beliefs are stronger and fluctuate less across time. [ABSTRACT FROM AUTHOR]

Two aspects of perceived control, locus of control (LOC) and perceived competence (COM), command significant attention in personality and aging research. Mainly, these concepts are regarded as stable variables of considerable promise for predicting a range of outcomes. The authors concentrate on week-to-week within-person variability in self-reported LOC and COM. Using data collected over 7 months, the authors first demonstrates that the responses of a panel of older participants are structurally consistent with dominant conceptions of perceived control and that the responses maintain an underlying structure over the frequently repeated protocol. They next show that the within-person variation over weekly measurements is coherent information rather than "noise" and that individual differences in magnitude of week-to-week variability are a relatively stable attribute that predicts mortality status 5 years later. Implications of the findings for both methodological and substantive concerns are discussed. [ABSTRACT FROM AUTHOR]

Mood structure was examined among individuals diagnosed with Parkinson's disease. Twelve individuals completed a measure of positive and negative affect for 70 consecutive days. Mood structure was determined by using dynamic factor analysis (DFA) models that account for both concurrent and lagged relationships in repeated measurements. Five individuals had sufficient variability in positive and negative affect to conduct DFA on both sets of variables. Results showed the presence of 2 2-factor 1-lag models, 2 1-factor 1-lag models, and a P-technique model. There was sufficient variability in positive affect to conduct DFA on positive affect for the entire sample. Two individuals displayed 2-factor 1-lag models, 6 individuals had 1-factor 1-lag models, and 4 individuals showed P-technique models. Implications of lagged relationships are discussed from substantive and methodological perspectives. [ABSTRACT FROM AUTHOR]

Meaningful and measurable aspects of short-term intraindividual variability have been established in what are conceptualized to be relatively stable interindividual differences dimensions. Illustrative are anxiety and other temperament traits as well as certain kinds of cognitive abilities. Reclamation of "signal" from the "noise" of intraindividual variability has rested heavily on research designs that involve frequently repeated observations. We extended this line of research to other trait-like domains by examining biweekly self-reports of world views and religious beliefs of a sample of elderly participants. The results indicated that not only is there occasion-to-occasion variability in the self-reports but the structure of these fluctuations is consistent over time and bears considerable resemblance to structures reported from cross-sectional data. [ABSTRACT FROM AUTHOR]

Age differences in emotional experience over the adult life span were explored, focusing on the frequency, intensity, complexity, and consistency of emotional experience in everyday life. One hundred eighty-four people, age 18 to 94 years, participated in an experience-sampling procedure in which emotions were recorded across a 1-week period. Age was unrelated to frequency of positive emotional experience. A curvilinear relationship best characterized negative emotional experience. Negative emotions declined in frequency until approximately age 60, at which point the decline ceased. Individual factor analyses computed for each participant revealed that age was associated with more differentiated emotional experience. In addition, periods of highly positive emotional experience were more likely to endure among older people and periods of highly negative emotional experience were less stable. Findings are interpreted within the theoretical framework of socioemotional selectivity theory.

The study of intraindividual variability pervades empirical inquiry in virtually all subdisciplines of psychology. The statistical analysis of multivariate time-series data - a central product of intraindividual investigations -requires special modeling techniques. The dynamic factor model (DFM), which is a generalization of the traditional common factor model, has been proposed by Molenaar (1985) for systematically extracting information from multivariate time- series via latent variable modeling. Implementation of the DFM model has taken several forms, one of which involves specifying it as a covariance-structure model and estimating its parameters from a block-Toeplitz matrix derived from the multivariate time-ser~es. We compare two methods for estimating DFM parameters within a covariance-structure framework - pseudo-Maximum Likelihood (p-ML) and Asymptotically Distribution Free (ADF) estimation - by means of a Monte Carlo simulation. Both methods appear to give consistent model parameter estimates of comparable precision, but only the ADF method gives standard errors and chi-square statistics that appear to be consistent. The relative ordering of the values of all estimates appears to be very similar across methods. When the manifest time-series is relatively short, the two methods appear to perform about equally well.

Is it possible to construct valid explanations of behavioral phenomena from differences found among naturally existing groups? Many of psychology's cherished findings in such domains as intellectual performance and temperament rest on differences of this kind. A venerable and rich literature on selection and selection effects both reminds us that naturally existing groups might or might not derive from a common parent population and warns that valid decisions between these alternatives are often jeopardized by the very methods on which those decisions rest. We examine these matters within the context of intellectual performance, illustrate key points with an analysis of data, and examine the implications for current research on differences in ability levels.

Previous research has indicated that extraversion and neuroticism are substantially affected both by genotype and environment. This study assesses genetic and environmental influences on the other three components of the five-factor model of personality: Openness to Experience, Agreeableness, and Conscientiousness. An abbreviated version of the NEO Personality Inventory (NEO-PI) was administered to 82 pairs of identical twins and 171 pairs of fraternal twins reared apart and 132 pairs of identical twins and 167 pairs of fraternal twins reared together. Estimates of genetic and environmental effects for Openness and Conscientiousness were similar to those found in other studies of personality: Genetic influence was substantial and there was little evidence of shared rearing environment. Results for Agreeableness were different: Genetic influence accounted for only 12% of the variance and shared rearing environment accounted for 21% of the variance. Few significant gender or age differences for genetic and environmental parameters were found in model-fitting analyses.

The Center for Epidemiologic Studies-Depression scale was administered to 68 identical and 161 fraternal twin pairs reared apart and 114 identical and 138 fraternal pairs reared together to ascertain relative genetic and environmental contributions to individual differences in self-reported depressive symptoms. Intraclass correlations and model fitting indicated that genetic influences explained 16% of the variance in total depression scores and 19% for the Psychomotor Retardation and Somatic Complaints subscale, but heritability was minimal for the Depressed Mood and Well-Being subscales. Influence of family rearing context played a substantial role in explaining twin similarity, whereas unique life experiences accounted for the greatest proportion of variance. Significant age group differences were observed, with heritability greater in twins of 60 years of age or older than in twins under 60, especially for Psychomotor Retardation.

Many researchers are concerned both with intraindividual change patterns and interindividual differences and similarities in those change patterns. Configural Frequency Analysis (CFA) provides a way to identify overrepresentations (types) and underrepresentations (antitypes) in the frequencies of multiple variable classifications organized to reflect patterns of change. Three methods of CFA for analyzing repeated measures data are considered. To establish trends, two of them require at least ordinal data and the third requires interval data. Data analysis and the interpretation of results are illustrated. CFA is compared with residual analysis from log-linear modeling.

Structural equation modeling (SEM) is now widely used in social and behavioral science research. SEM provides the possibility of fitting, and evaluating the fit, of well-specified, theoretical models to empirical data--more generally, of testing elaborated psychological theories. The options available to users of these approaches are many and varied. Popular SEM computational software packages, such as LISREL and EQS, provide a large amount of information, and there is some uncertainty as to what should be routinely reported. A series of guidelines are proposed for reporting SEM results in articles submitted to Psychology and Aging. The suggested guidelines ask authors using SEM methodology to provide important analysis information that will enable readers to evaluate the findings.

Some of the selection issues that bear upon the conduct of research using multivariate, replicated, single-subject repeated measures designs are examined and their implications for the study of developmental phenomena discussed. The choices of participants, variables, occasions of measurement, etc., made in the conduct of empirical research all involve some kind of selection. These choices, therefore, introduce selection effects into collected data which, in turn, threaten the generalizability of one's conclusions. Data analyzed for single subjects, for example, are suspect regarding generalizability to other individuals. While the limits of generalizability to persons is a concern to be taken seriously, the concern properly applies to all modes of data classification. Discussions of the importance of person selection emphasize representative sampling (of persons) and generalization to populations of persons. Attention to the selection of variables has led to a focus on multivariate approaches to measurement. For the developmentalist, the occasions mode, which is either implicitly or explicitly involved in definitions of change, is especially relevant to concerns about generalizability. Whether one considers stability or change, the effects of temporal selection ought to be a central concern in designing research.

The Swedish Adoption/Twin Study of Aging (SATSA) is a longitudinal program of research in gerontological genetics which is currently in its fifth year. The base population is comprised of 351 pairs of twins reared apart and 407 matched control pairs of twins reared together who responded to a questionnaire (Q1) in 1984. Two additional stages of SATSA have recently been completed: a longitudinal follow-up questionnaire mailed out in 1987 (Q2) and extensive in-person testing (IPT1) which included a health examination and cognitive battery. A second wave of IPT was started in January 1989. A summary of some of the major findings from Q1 and a description of IPT1 are reported.

The precise, quantitative portrayal of intraindividual change is a key goal of developmental researchers. Research designs particularly appropriate to selected aspects of this goal are multivariate, replicated, single-subject, repeated measures (MRSRM) designs. Data collected with these designs may be factor analyzed with P-technique factor analysis to elucidate, for each individual studied, patterns of systematic change. The nature of the factor patterns obtained for each individual can then be compared across individuals to determine the relative idiosyncrasy or generality of patterns of change. This paper extends an earlier review (Luborsky & Mintz, 1972) of studies using multivariate, single-subject, repeated measures designs and P-technique factor analysis. The emphasis here is on both more recent studies and the value of subject replication in creating a confluence of idiographic and nomothetic approaches to the study of behavior and behavioral development across the lifespan.

Genetic influence on perceptions of major events later in life was assessed with a combination of twin and adoption designs as part of the Swedish Adoption/Twin Study of Aging (SATSA). The SATSA design includes 4 groups totaling 399 pairs of same-sex twins: identical and fraternal twins reared apart and matched twins reared together. The average age of the twins was 59 years. The results demonstrate significant genetic influence on reports of the occurrence of life events, especially for controllable events in which the individual can play an active role. Maximum likelihood model-fitting estimates of genetic influence indicate that 40% of the variance of the total life events score is due to genetic differences among individuals. How genetic factors can affect life experiences and directions for future research are discussed.

Although research on personality and behavioral genetics has focused on the continuity of traits, both fields and their interface will profit from the consideration of trait change. In this article we review personality research on age differences in heritability and propose the counterintuitive hypothesis that, when developmental changes in heritability are found, heritability tends to increase. We also focus on behavioral genetic analyses of long-term developmental change. Research to date suggests that genetic involvement in adult personality change is slight whereas personality change in childhood is governed substantially be genetic factors. Finally, we consider a new topic, genetic influence on short-term change in personality.

Contemporary psychometric policy and practice have tended to make the use of algebraic difference scores in psychological research taboo. Within the more limited domain of factor analytic research on personality, difference scores have been the subject of sporadic debate for more than 30 years. Using the personality trait versus state distinction as a substantive context, the fit of the factor analytic model to difference score data is investigated and found to be quite good. Methodological issues related to properties of difference scores and their implications for personality research are briefly discussed.

Raymond B. Cattell is not generally perceived to be a developmental psychologist. However, his lengthy, highly systematic research program produced many conceptual, methodological, measurement, and data analysis tools for identifying and studying interindividual differences and similarities in intraindividual change patterns. Such issues and methods are among the key elements of the foundation on which the lifespan orientation to the study of development rests. Therefore, one can see evidence of the integration of many of Cattell's contributions into the conduct of lifespan development research. In addition to conceptual and methodological innovations, Cattell's substantive contributions, including personality and ability concepts and their accompanying, age-graded measurement devices, are also utilized to varying degrees by developmentalists. How valuable for developmental research have Cattell's contributions been? The evidence sifted indicates that Cattell has not had a notable direct impact on traditional developmental research and theorizing, in part because he has not systematically invested his own efforts in the study of developmental phenomena and issues per se. At a more general level, however, and particularly in relation to the lifespan orientation to the study of development, Cattell's multivariate correlational research program is indeed helping to shape current direction and practice.

The 14 scales of the HSPQ and 20 scales of the PRF were administered to 1,862 adolescents. Scales were intercorrelated, factored, and the factors rotated to simple structure solutions, separately for each instrument. Cross-instrument relationships were subsequently examined by: (a) Dwyer extension analysis procedure, and (b) estimating correlations of "true" factor scores between the two sets of factors. Results indicated both cross-instrument commonalities and specificities. Higher stratum dimensions (HSPQ-PRF) of Exvia-Ascendance, Superego Strength-Impulse Control, Cortertia-Aesthetic Intellectual Orientation, and Dependence-Social Contact were found to be closely related in the two instruments. Dimensions such as Aggression (PRF), Achievement (PRF), and Anxiety (HSPQ) were found to be instrument-specific. It was concluded that neither instrument provides for a comprehensive mapping of the personality domain, broadly defined. Implications of the levels of factor convergence and divergence obtained in relation to theory building and prediction are discussed.

In this first behavioral genetic study of personality in the last half of the life span, results are reported using the powerful adoption/twin design that compares identical and fraternal twins reared apart and identical and fraternal twins reared together. Traits studied were the EAS temperaments (emotionality, activity level, and sociability), traits that show substantial genetic influence in childhood. It was hypothesized that the EAS traits would also show significant genetic influence later in life and that most of the environmental variation would be nonshared--that is, twins reared together would show no greater resemblance for the EAS traits than twins reared apart. Both hypotheses are supported.

To examine the magnitude and nature of short-term fluctuations in work values, seven college students (five females, two males) completed the Work Values Inventory (Super, 1970) daily for approximately 100 days. Each individual's scale scores were factor analyzed separately to identify the number and nature of factors that accounted for the day-to-day variability manifested in that person's scores. Results indicated that intra-individual variability on self-reported work values is coherently structured, although not in highly consistent ways across individuals. Factors identified as "Stimulation," "Esthetics/Management," and "Work Conditions" manifested various amounts of similarity across participants' responses. The findings call into question the overarching assumption in the vocational literature that work values behave exclusively as trait-like dimensions, and suggest making better use of idiographic approaches in developing nomothetic relationships.

The use of structural modeling techniques to fit change concepts, including developmental ones, to repeated-measurements data has been rather firmly but uncritically wedded to autoregressive model specifications. The uncritical application of an autoregressive specification to repeated measures does not take into account subtleties of conceptions of stability and change (e.g., the trait-state distinction) that are now recognized in the behavioral research literature. We review the basic distinction between trait and state and examine the implications of the different possibilities for modeling developmental phenomena. The arguments are illustrated with empirical examples.

Multivariate research has provided a conceptual and operational frame-work for the study of structural changes in behavior by focusing on the nature of changes in correlation and factor pattern matrices (e.g., theories of factor integration and differentiation). The purpose of the present simulation is to demonstrate how multivariate structural change and transitions can be construed to reflect multivariate environmental input patterns. These environmental input patterns show interindividual differences, accumulate with ontogeny, and exhibit varying degrees of continuity (environmental continuation, independence, inversion) during development. The simulation uses eight dependent variables as a behavioral universe, 30 subjects as a sample, two types of differential environmental input patterns (general environmental differences, behavior-specific environmental differences), and two developmental stages with multiple phases each. A linear and additive growth model is adopted to simulate the effect of environmental patterns on the rate of onto-genetic development and to generate developmental curves for each of the eight behaviors and each of the 30 subjects. Subsequently, both within- and between-stage comparisons of correlational and factor analytic outcome patterns are performed. The analyses result in the simulation of environmentally produced structural transformations in development (behavior-structure integration and behavior-structure differentiation) and their representation as various prototypic outcomes of factor invariance and change. A concluding argument is presented for a multivariate experimental and developmental approach to the study of behavioral transitions conceptualized as cumulative organism-environment interchanges.

A Series of questionnaire items designed to measure the psychological states of anxiety, depression, effort stress and fatigue were administered to 151 male and female subjects and then readministered, one month later, to the same subjects. Difference scores, some based on individual items and some on item parcels, were intercorrelated and factor analyzed. The factor analytic investigation was carried through a third order analysis. Results support the notion that change score patterns are of substantial dimensionality and that the hypothesized dimensions can be identified on the basis of the included marker variables. Implications and future directions for research on the validity of the trait-state distinction are briefly discussed.

This large Veterans Administration cooperative study sought to identify the ward milieu characteristics of effective psychiatric programs. It was developed as a multivariable, correlational study that involved systematic observations of program characteristics and outcome effectiveness of wards as they operated in their usual manner. Seventy-nine wards in 18 hospitals provided 11,283 patients eligible for follow-up. Eleven treatment characteristics were found to be correlated to patients' community adjustment 3 months after discharge. These characteristics were classified into five general categories: Patient-staff interaction, patient activities, medication practices, ward physical environment, and nursing staff rotation. The major conclusions are: wards do differ in their effectiveness as measured by ratings of patient posthospital adjustment; and treatment characteristics make a difference in program effectiveness as measured by patients' posthospital adjustment.

Four hospitalized female schizophrenics performed self-ratings on a battery of variables for 60 consecutive days. The variables were factored, separately for each subject, and the factors were then rotated to solutions which were maximally invariant from each other. Factor matching among subjects was then assessed by congruence coefficients. The factors which replicated over persons appeared to be broad, second-order dimensions identifiable as Social Desirability, Extraversion and Anxiety. The results are discussed in relation to nomothetic vs. idiographic systems of psychology and the study of intraindividual change by P-technique as a methodology of clinical interest.