Structural equation models of memory performance across noise conditions and age groups

2006 ◽  
Vol 47 (6) ◽  
pp. 449-460 ◽  
Author(s):  
INGELA ENMARKER ◽  
EVA BOMAN ◽  
STAFFAN HYGGE
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Memory Performance ◽  
Age Groups

scholarly journals Sleep and Working Memory: Short-Term Links in Daily Life and Long-Term Associations

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 331-331
Author(s):  
Cornelia Wrzus ◽  
Denis Gerstorf ◽  
Ute Kunzmann ◽  
Martin Katzorreck ◽  
Oliver Schilling ◽  
...  
Keyword(s):  
Working Memory ◽  
Cognitive Aging ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Current Knowledge ◽  
Memory Performance ◽  
Cognitive Changes ◽  
First Results ◽  
Open Question

Abstract Sufficient sleep is relevant for both momentary cognitive functioning and long-term cognitive developments. However, which factors make people particularly vulnerable to the cognitive consequences of sleep loss remains an open question. Here, we obtained data from 122 young-old (66-69 years) and 35 very old (85-89 years) adults who provided six daily ambulatory assessments of working memory performance and daily sleep over one week, and long-term trajectories in processing speed and working memory performance. Our results add to current knowledge in three ways: First, results from multilevel structural equation models showed both too little and too much daily sleep was associated with poorer working memory in everyday life. Secondly, this association was independent of cognitive aging over the preceding four years. Thirdly, average sleep duration did not predict cognitive changes over the next year. Participants’ age and health as well as emotional functioning are discussed as further influences on the associations.

scholarly journals Memory Deficits Precede Increases in Depressive Symptoms in Later Adulthood

2018 ◽  
Vol 74 (6) ◽  
pp. 943-953 ◽  
Author(s):  
Stephen Aichele ◽  
Paolo Ghisletta
Keyword(s):  
Depressive Symptoms ◽  
Sex Education ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Memory Performance ◽  
Memory Deficits ◽  
Community Dwelling ◽  
Depression Symptoms ◽  
Age Related ◽  
Increased Risk

Abstract Objectives We examined bidirectional, time-ordered associations between age-related changes in depressive symptoms and memory. Method Data came from 107,599 community-dwelling adults, aged 49–90 years, who participated in the Survey of Health, Ageing, and Retirement in Europe (SHARE). Depressive symptoms were measured with the EURO-D inventory, and memory was evaluated as delayed recall of a 10-word list. Participants were assessed up to five times at 2-year intervals. Dynamic structural equation models were used to estimate longitudinal and time-ordered (lead-lag) relations between depressive symptoms and memory performance. Results Depressive symptoms increased and memory scores decreased across the observed age range, with worsening mostly evident after age 62 years. These long-term changes were moderately negatively correlated (r = −.53, p < .001). A time-ordered effect emerged such that age-specific memory deficits preceded shorter-term increases in depression symptoms. This effect can be translated such that each 1-point decrement on a 10-point memory scale at a given age predicted a 14.5% increased risk for depression two years later. Statistical adjustment for covariates (sex, education, re-test, smoking, and body mass index) had little influence on these associations. Conclusion In later adulthood, lower memory performance at a given age predicts subsequent 2-year increases in depressive symptoms.

scholarly journals Motivation to Learn and Multilingualism across the Adult Life Stages in the U.S

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 952-953
Author(s):  
Shalini Sahoo ◽  
Takashi Yamashita ◽  
Roberto Millar ◽  
Phyllis Cummins
Keyword(s):  
Lifelong Learning ◽  
Learning Style ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Age Groups ◽  
Adult Life ◽  
Motivation To Learn ◽  
Life Stages ◽  
Nationally Representative ◽  
The U.S

Abstract Lifelong learning or continuing education over the life course has become necessary to navigate a rapidly changing technological landscape. Motivation to learn (MtL) is essential for facilitating lifelong learning. In the U.S., most of the educational opportunities are available in English. Moreover, little is known about associations between being multilingual and MtL across the life stages. This study analyzed nationally representative data from the 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted use file (RUF). Using a previously established latent MtL construct, structural equation models were estimated by four age groups --- 25-34 (n = 2,310); 35-44 (n = 1,610); 45-54 (n = 1,670); and 55 and older (n = 2,620). Results showed that being multilingual was associated with greater MtL among younger age groups, including age 25-34 (b = 0.20, p = 0.01) and 35-44 (b = 0.28, p < 0.001), after adjusting for the demographic, socioeconomic and health characteristics of individuals. Multilingualism was not associated with MtL among older age groups, including 45-54 (b = 0.06, p = 0.50) and 55 and older (b = 0.13, p = 0.19). Findings suggest that education policies that target younger multilingual adults are likely to be effective while enhancing MtL of monolingual (i.e., English-speaking only) adults seems to be a necessary first step. Yet, a similar approach may not be effective for older adults, arguably due to more diverse life circumstances, educational needs, and learning style preferences. More detailed interpretations of empirical results and theoretical explanations are needed.

The contribution of adult personality and recalled parent–child relations to friendships in middle and old age

2007 ◽  
Vol 31 (1) ◽  
pp. 38-48 ◽  
Author(s):  
Vera Heyl ◽  
Marina Schmitt
Keyword(s):  
Personality Traits ◽  
Old Age ◽  
Adult Development ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Age Groups ◽  
Parent Child Relations ◽  
Adult Personality ◽  
Child Relationship ◽  
Parent Child

In this study we examined personality traits, in particular openness to experience and agreeableness, and–in an exploratory step – recalled parent–child relations as antecedents of friendship involvement in adulthood. Data from 392 middle-aged (43–46 years) and 345 older participants (61–64 years) in the first wave of the Interdisciplinary Longitudinal Study of Adult Development (ILSE) support the hypothesis that openness contributes to friendship involvement in middle age, while agreeableness contributes to friendship involvement in old age. Further, structural equation models showed that the relation between recalled mother–child relationship and friendship involvement in older adults was mediated by agreeableness. Recalled father–child relationship was directly associated with friendships in both age groups, independent of personality traits.

scholarly journals Children’ Stress, Depression, Sleep, and Internet Use

2021 ◽  
Vol 8 (4) ◽  
pp. 246-253
Author(s):  
Shin-IL HAN ◽  
Dong Hun LEE
Keyword(s):  
Structural Equation ◽  
Internet Use ◽  
Structural Equation Models ◽  
Age Groups ◽  
Depression Scale ◽  
Korean Children ◽  
Regression Effect ◽  
Study Results ◽  
Korean Child ◽  
Children’S Sleep

This study examines the connections between children’s sleep, stress, depression, and internet use. Parents believe that sleep effectively reduces children’s stress, while children instead insist that internet use is effective for reducing their stress. Based on that argument, this study has three purposes: to examine whether sleep or internet use is more effective at reducing children's stress, examine whether stress is related to depression, and examine whether sleep affects depression through children's stress as a mediating factor. To this end, this study gathered a sample of 1,796 children from 32 elementary schools—all fourth- to sixth-graders who volunteered to take the survey—and measured their stress level, depression level, sleep hours, and hours of internet use. The Daily Stress Scale of Korean Children, Korean Child Depression Scale, hours of sleep on average per day (sleep), and hours of using electronic devices per day (internet use) were used as the measurements. Regarding the statistical analysis methods used in this study, linear regression was used to examine the regression effect of both sleep and internet use on stress and the regression effect of stress on depression. Path analysis, one of the structural equation models, was also used to find direct, indirect, and mediating effects between variables. The study results show that (i) sleep, not internet usage, effectively relieves children’s stress; (ii) stress is an important influence on depression; and (iii) sufficient sleep reduces stress, which reduces depression. It is recommended that future studies consider the quality of sleep and quantity of sleep for more valid data analysis and carry out follow-up research with wider age groups. 

Measuring the Big Five in Self-Report and Other Ratings

2000 ◽  
Vol 16 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Claudio Barbaranelli ◽  
Gian Vittorio Caprara
Keyword(s):  
Big Five ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Error Variance ◽  
The Self ◽  
Self Report ◽  
Sources Of Information ◽  
Third Person ◽  
Fit Indexes ◽  
Response Modes

Summary: The aim of the study is to assess the construct validity of two different measures of the Big Five, matching two “response modes” (phrase-questionnaire and list of adjectives) and two sources of information or raters (self-report and other ratings). Two-hundred subjects, equally divided in males and females, were administered the self-report versions of the Big Five Questionnaire (BFQ) and the Big Five Observer (BFO), a list of bipolar pairs of adjectives ( Caprara, Barbaranelli, & Borgogni, 1993 , 1994 ). Every subject was rated by six acquaintances, then aggregated by means of the same instruments used for the self-report, but worded in a third-person format. The multitrait-multimethod matrix derived from these measures was then analyzed via Structural Equation Models according to the criteria proposed by Widaman (1985) , Marsh (1989) , and Bagozzi (1994) . In particular, four different models were compared. While the global fit indexes of the models were only moderate, convergent and discriminant validities were clearly supported, and method and error variance were moderate or low.

Collective Efficacy and Organizational Commitment in an Italian City Hall

2009 ◽  
Vol 14 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Laura Borgogni ◽  
Silvia Dello Russo ◽  
Laura Petitta ◽  
Gary P. Latham
Keyword(s):  
Organizational Commitment ◽  
Collective Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Practical Significance ◽  
City Hall ◽  
Italian City ◽  
Public Sector Managers ◽  
The Individual ◽  
Level Group

Employees (N = 170) of a City Hall in Italy were administered a questionnaire measuring collective efficacy (CE), perceptions of context (PoC), and organizational commitment (OC). Two facets of collective efficacy were identified, namely group and organizational. Structural equation models revealed that perceptions of top management display a stronger relationship with organizational collective efficacy, whereas employees’ perceptions of their colleagues and their direct superior are related to collective efficacy at the group level. Group collective efficacy had a stronger relationship with affective organizational commitment than did organizational collective efficacy. The theoretical significance of this study is in showing that CE is two-dimensional rather than unidimensional. The practical significance of this finding is that the PoC model provides a framework that public sector managers can use to increase the efficacy of the organization as a whole as well as the individual groups that compose it.

A Cautionary Note on Incremental Fit Indices Reported by LISREL

Methodology ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 81-85 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Jochen Hardt
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Null Model ◽  
Likelihood Estimation ◽  
Parameter Estimates ◽  
Fit Indices ◽  
Cautionary Note ◽  
Confirmatory Factor

Abstract. Incremental fit indices (IFIs) are regularly used when assessing the fit of structural equation models. IFIs are based on the comparison of the fit of a target model with that of a null model. For maximum-likelihood estimation, IFIs are usually computed by using the χ2 statistics of the maximum-likelihood fitting function (ML-χ2). However, LISREL recently changed the computation of IFIs. Since version 8.52, IFIs reported by LISREL are based on the χ2 statistics of the reweighted least squares fitting function (RLS-χ2). Although both functions lead to the same maximum-likelihood parameter estimates, the two χ2 statistics reach different values. Because these differences are especially large for null models, IFIs are affected in particular. Consequently, RLS-χ2 based IFIs in combination with conventional cut-off values explored for ML-χ2 based IFIs may lead to a wrong acceptance of models. We demonstrate this point by a confirmatory factor analysis in a sample of 2449 subjects.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

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