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Why do we punish? Deterrence and just deserts as motives for punishment.

One popular justification for punishment is the just deserts rationale: A person deserves punishment proportionate to the moral wrong committed. A competing justification is the deterrence rationale: Punishing an offender reduces the frequency and likelihood of future offenses. The authors examined the motivation underlying laypeople's use of punishment for prototypical wrongs. Study 1 (N = 336) revealed high sensitivity to factors uniquely associated with the just deserts perspective (e.g., offense seriousness, moral trespass) and insensitivity to factors associated with deterrence (e.g., likelihood of detection, offense frequency). Study 2 (N = 329) confirmed the proposed model through structural equation modeling (SEM). Study 3 (N = 351) revealed that despite strongly stated preferences for deterrence theory, individual sentencing decisions seemed driven exclusively by just deserts concerns.

Adult↗

Changing AIDS-risk behavior.

This article contains a comprehensive, critical review of the acquired immunodeficiency syndrome (AIDS)-risk-reduction literature on interventions that have targeted risky sexual behavior and intravenous drug use practices. A conceptually based, highly generalizable model for promoting and evaluating AIDS-risk behavior change in any population of interest is then proposed. The model holds that AIDS-risk reduction is a function of people's information about AIDS transmission and prevention, their motivation to reduce AIDS risk, and their behavioral skills for performing the specific acts involved in risk reduction. Supportive tests of this model, using structural equation modeling techniques, are then reported for populations of university students and gay male affinity group members.

Acquired Immunodeficiency Syndrome↗

Introduction to the Special Section on Applied Longitudinal Methods in Aging Research.

This article introduces articles that appear in the special section on applied longitudinal methods in aging research. These articles apply quantitative statistical techniques such as multilevel modeling and structural equation models to the analysis of longitudinal data. They exemplify how applications of these techniques can advance scientific research on the effects of aging on psychological constructs. ((c) 2003 APA, all rights reserved)

Journal Article↗

A framework for studying the nutritional health of community-dwelling elders.

BACKGROUND: Ensuring nutritional health for elders has been shown to reduce healthcare costs and enhance quality of life. Studies, however, have shown that malnutrition is present in 2% to 51% of community-dwelling elders, depending on the definition used and the population studied. An empirically tested framework for studying nutritional health in community-dwelling elders is not yet available. OBJECTIVE: To test the goodness-of-fit exhibited by the framework of nutritional health among community-dwelling elders based on the Roy Adaptation Model using structural equation modeling (SEM). METHODS: A population-based study investigated 243 elders dwelling in public housing. Demographics, polypharmacy, chronic illness, oral health, depressive symptoms, functional status, and satisfaction with social support were assessed to test their relation with nutritional health according to the propositions of the Roy Adaptation Model and scientific evidence. RESULTS: The SEM analysis indicated that functional status, oral health, depressive symptoms, and satisfaction with social support affect nutritional health directly. Oral health, depressive symptoms, functional status, and satisfaction with support mediated the effects of age, ethnicity, education, and number of medications and chronic illnesses on nutritional health. The model accounted for 35% of the variance in nutritional health and demonstrated a good fit with the data and with the values for Bentler's Comparative Fit Index (0.94) and chi (1.76). CONCLUSIONS: The propositions of the Roy Adaptation Model were supported, and the findings showed that this framework of nutritional health among community-dwelling elders could serve as a theoretical and empirical base for future inquiry.

Activities of Daily Living↗

Predictors of maternal sensitivity during the early postpartum period.

AIM: This paper reports a study examining the relationship of maternal sensitivity to maternal identity, social support, maternal-fetal attachment and demographic variables. BACKGROUND: Maternal sensitivity is a mother's ability to perceive and interpret accurately her infant's signals and communications, and then respond appropriately. It is one of the major influencing factors of mother-infant attachment, and needs to be promoted for effective mother-infant interaction. However, limited information is available on the factors that influence postpartum maternal sensitivity. The study was guided by Roy's adaptation model. METHODS: A cross-sectional, descriptive design was used. A convenience sample of 196 Korean mothers within 6 weeks of delivery were recruited during July-November 2003 and completed a self-report questionnaire. The data were analysed using descriptive statistics and stepwise multiple regression analysis. RESULTS: We found that maternal-fetal attachment, self-identity as a mother, mother's employment status, identification with her baby, support from others, and infant's gestational age at birth were statistically significant predictors of maternal sensitivity postpartum. These variables explained 60% of the variance in maternal sensitivity. CONCLUSION: Providing social support, enhancing maternal identity, and facilitating maternal-fetal attachment in the antepartum period are recommended to improve postpartum maternal sensitivity. Also, in future research, a path-type model or structural equation model including other variables, such as postnatal depression, needs to be developed and tested for optimal adaptation to becoming a mother.

Adult↗

Bladder neck mobility is a heritable trait.

OBJECTIVE: Congenital connective tissue dysfunction may partly be responsible for female pelvic organ prolapse and urinary incontinence. We undertook a heritability study to determine whether mobility of the bladder neck, one of the main determinants of stress urinary incontinence, is genetically influenced. DESIGN: Heritability study using a twin model and structural equation modelling. SETTING: Queensland Institute of Medical Research, Brisbane, Australia. POPULATION: One hundred and seventy-eight nulliparous Caucasian female twins and their sisters (46 monozygotic pairs, 24 dizygotic pairs and 38 sisters) aged 18-24 years. METHODS: We performed translabial ultrasound, supine and after bladder emptying, for pelvic organ mobility. Urethral rotation and bladder neck descent were calculated using the best of three effective Valsalva manoeuvres. MAIN OUTCOME MEASURES: Bladder and urethral mobility on Valsalva assessed by urethral rotation, vertical and oblique bladder neck descent. RESULTS: Genetic modelling indicated that additive genes accounted for up to 59% of the variance for bladder neck descent. All remaining variance appeared due to environmental influences unique to the individual, including measurement error. CONCLUSION: A significant genetic contribution to the phenotype of bladder neck mobility appears likely.

Adolescent↗

Dynamic effects among patients' treatment needs, beliefs, and utilization: a prospective study of adolescents in drug treatment.

OBJECTIVE: To document the prospective, reciprocal relationships among substance use problems, utilization of drug treatment, and predisposing beliefs thought to increase treatment utilization. DATA SOURCE: Persistent Effects of Treatment Study-Adolescent (PETS-A), conducted by the Center on Substance Abuse Treatment. This was a longitudinal study of youths originally participating in one of two CSAT studies; one sample included 476 youths receiving residential drug treatment, and the other included 519 youths receiving outpatient treatment. STUDY DESIGN: This study uses five waves of data collected over a 12-month period to examine the temporal relationships among four variables: treatment dose, substance use problems, drug resistance self-efficacy, and perceived need for treatment (PNT). Data from this longitudinal study were analyzed using cross-lagged panel models, and structural equation modeling techniques were used to estimate the prospective, reciprocal relationships among these four variables in each of the two samples, while controlling for several covariates. PRINCIPAL FINDINGS: Both PNT and low drug resistance self-efficacy led to higher levels of subsequent treatment. However, low self-efficacy presaged increases in drug problems while PNT predicted decreases. CONCLUSIONS: Understanding the role of psychological variables in the utilization of health services is complicated for psychological disorders because beliefs that affect treatment can also influence the disorder itself. Efforts to keep adolescents in drug treatment should focus on convincing youth that treatment can help them with their problems, rather than convincing them that they cannot resist drugs on their own. While both messages increase treatment utilization, the latter belief undermines the effects of treatment.

Adolescent↗

A structural model approach toward the development of a theory of the link between stress and mental health.

This study attempts to develop an empirical model of the link between stress and mental health, focusing particularly on occupational stress. Three different models were assessed-the person-stress model, the dispositional model, and the indigenous model--using structural equation modelling. The indigenous model was found to be the most predictive of mental health. In this model, personality and coping strategies precede and determine the perception of job stressors, which ultimately affect the mental well-being of the individual.

Adaptation, Psychological↗

A dynamic causal modeling study on category effects: bottom-up or top-down mediation?

In this study, we combined functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to investigate whether object category effects in the occipital anti temporal cortex are mediated by inputs from early visual cortex or parietal regions. Resolving this issue may provide anatomical constraints on theories of category specificity--which make different assumptions about the underlying neurophysiology. The data were acquired by Ishai, Ungerleider, Martin, Schouten, and Haxby (1999, 2000) and provided by the National fiNRI Data Center (http://www.fmridcc.org). The original authors used a conventional analysis to estimate differential effects in the occipital anti temporal cortex in response to pictures of chairs, faces, and houses. We extended this approach by estimating neuronal interactions that mediate category effects using DCM. DCM uses a Bayesian framework to estimate and make inferences about the influence that one region exerts over another and how this is affected by experimental changes. DCM differs from previous approaches to brain connectivity, such as multivariate autoregressive models and structural equation modeling, as it assumes that the observed hemodynamic responses are driven by experimental changes rather than endogenous noise. DCM therefore brings the analysis of brain connectivity much closer to the analysis of regionally specific effects usually applied to functional imaging data. We used DCM to estimate the influence that V3 and the superior/inferior parietal cortex exerted over category-responsive regions and how this was affected by the presentation of houses, faces, and chairs. We found that category effects in occipital and temporal cortex were mediated by inputs from early visual cortex. In contrast,the connectivity from the superior/inferior parietal area to the category-responsive areas was unaffected by the presentation of chairs, faces, or houses. These findings indicate that category effects in the occipital and temporal cortex can be mediated by bottom-up mechanisms-a finding that needs to be embraced by models of category specificity.

Brain↗

Testing a middle-range theoretical model of adaptation to chronic pain.

The purpose of this cross-sectional, correlational study was to test a middle-range theory of adaptation to chronic pain that was deduced from the Roy adaptation model using structural equation modeling. The sample consisted of 200 community-dwelling older adults with a mean age of 76. The Roy adaptation model theoretical framework provided an adequate fit to the data and supported the majority of the hypothesized relationships and findings from prior research. Significant direct effects, however, were found between both focal and contextual stimuli, suggesting that contextual stimuli need to be considered when developing a plan of care for older adults experiencing chronic pain.

Adaptation, Psychological↗

Care neglect, supervisory neglect, and harsh parenting in the development of children's aggression: a replication and extension.

To understand the effects of neglectful parenting, poor supervision, and punitive parenting in the development of children's aggression, 218 children ages 4 to 8 years who were disadvantaged and their mothers were recruited from two states to develop a sample that was diverse with respect to degree of urbanization and ethnicity. Multimethod and multisource indices of the predictive constructs (Social Disadvantage, Denial of Care Neglect, Supervisory Neglect, and Punitive Discipline) and the criterion construct (Aggression) were used in a test of a theoretical model using structural equation modeling. The results established the role of care neglect, supervisory neglect, and punitive parenting as mediators of the role of social disadvantage in the development of children's aggression, the importance of distinguishing between two subtypes of neglect, and the need to consider the role of discipline in concert with neglect when attempting to understand the parenting in the development of aggression.

Aggression↗

Direct and indirect effects of parenting and children's goals on child aggression.

This study tested a dual-mediation model of the relations among harsh parenting, hostile social information processing, and level of child aggression in a sample of 239 (150 male, 89 female) 2nd- to 4th-grade children. The theoretical model posited that harsh parenting has both direct and indirect effects on child level of aggression, with the indirect effects mediated through children's social goals. The model further posited that the impact of social goals on aggression is mediated through other social cognitive processes (i.e., attributions of hostile intent, hostile solution generation, and positive outcome expectancies for aggression). We tested the dual-mediation model with structural equation modeling and found it to be a good fit to the data. Results were consistent with the view that parenting affects children's goal orientation and that children's goal orientation affects their behavior via online processing in social situations.

Aggression↗

Calculating the interindividual geometric standard deviation for use in the integrated exposure uptake biokinetic model for lead in children.

The integrated exposure uptake biokinetic (IEUBK) model, recommended for use by the U.S. Environmental Protection Agency at residential Superfund sites to predict potential risks to children from lead exposure and to establish lead remediation levels, requires an interindividual geometric standard deviation (GSDi) as an essential input parameter. The GSDi quantifies the variability of blood lead concentrations for children exposed to similar environmental concentrations of lead. Estimates of potential risks are directly related to the GSDi, and therefore the GSDi directly impacts the scope of remediation at Superfund sites. Site-specific GSDi can be calculated for sites where blood lead and environmental lead have been measured. This paper uses data from blood and environmental lead studies conducted at the Bingham Creek and Sandy, Utah, Superfund sites to calculate GSDi using regression modeling, box modeling, and structural equation modeling. GSDis were calculated using various methods for treating values below the analytical method detection and quantitation limits. Treatment of nonquantifiable blood lead concentrations affected the GSDi more than the statistical method used to calculate the GSDi. For any given treatment, the different statistical methods produced similar GSDis. Because of the uncertainties associated with data in the blood lead studies, we recommend that a range of GSDis be used when analyzing site-specific risks associated with exposure to environmental lead instead of a single estimate. Because the different statistical methods produce similar GSDis, we recommend a simple procedure to calculate site-specific GSDi from a scientifically sound blood and environmental lead study.

Algorithms↗

Modeling computer interest in older adults: the role of age, education, computer knowledge, and computer anxiety.

We proposed a mediation model to examine the effects of age, education, computer knowledge, and computer anxiety on computer interest in older adults. We hypothesized that computer knowledge and computer anxiety would fully mediate the effects of age and education on computer interest. A sample of 330 older adults from local senior-citizen apartment buildings completed a survey that included an assessment of the constructs included in the model. Using structural equation modeling, we found that the results supported the hypothesized mediation model. In particular, the effect of computer knowledge operated on computer interest through computer anxiety. The effect of age was not fully mitigated by the other model variables, indicating the need for future research that identifies and models other correlates of age and computer interest. The most immediate application of this research is the finding that a simple 3-item instrument can be used to assess computer interest in older populations. This will help professionals plan and implement computer services in public-access settings for older adults. An additional application of this research is the information it provides for training program designers.

Age Factors↗

A Model of Computer-Mediated Social Support Among Older Adults.

Internet use has been growing exponentially, and older adults are one of the fastest growing online user groups. Due to the various physiological and psychosocial changes associated with aging, older adults are prone to social isolation. The Internet and e-mail may serve as a new source of support for older adults by connecting them with friends and family members, as well as providing useful information. In this study, based on prior research findings in sociology, communications, and informatics, A Model of Computer-Mediated Social Support Among Older Adults that explains relationships among a computer-mediated social network (CMSN), perceived functional social support from that network, and psychological well-being of community dwelling older adults was proposed. The primary purpose of this study was to test this model using Structural Equation Modeling (SEM).

Aged↗

Relationship of financial strain and psychosocial resources to alcohol use and abuse: the mediating role of negative affect and drinking motives.

Limited research has examined the relationship between financial strain and alcohol use and abuse. Building on affect regulation theory and recent research in the stress and alcohol literatures, this study developed and tested a model relating financial strain, social resources, personal resources, depression, and drinking to cope to alcohol use and abuse. Data were obtained from a random sample of 1,424 adults who indicated that they had drunk alcohol in the previous year. We tested and then revised our model using structural equation modeling analysis. Results supported the affect regulation model of financial strain and alcohol use and abuse. Generally, depression mediated the relationship between financial strain and drinking to cope, and drinking to cope mediated the relationship between depression and alcohol use and abuse. In addition, both gender and race moderated six of the relationships in our revised model.

Adult↗

Tracking of physical fitness during adolescence: a panel study in boys.

PURPOSE: To investigate the tracking in physical fitness (PF) viewed as a whole, a multidimensional trait of the subject, and to establish the stability of each factor of PF in adolescence from the perspective of a panel study using the structural equation modeling approach. METHODS: From a sample of 454 boys followed from 12 to 18 yr of age of the Leuven Growth Study, we considered only three consecutive measurement occasions with a mean age of 12.76, 14.69, and 17.73 yr. Physical fitness was evaluated by means of a battery composed of the following tests: plate tapping, sit and reach, vertical jump, arm pull, leg lifts, bent arm hang, and shuttle run. Structural equation models were fitted to the data, namely autoregressive models with latent variables. These models were used to quantify the tracking of PF as a whole and also of the individual marker variables of fitness. RESULTS: Stability estimates of PF as a whole are rather high, beta21 = 0.86 and beta32 = 0.68, with an explained variance of 74% and 73%, respectively. Tracking coefficients represented by disattenuated autocorrelations among the fitness factor gave high results: r1,2 = 0.86; r1,3 = 0.78; and r2,3 = 0.85. CONCLUSIONS: Physical fitness as a whole is highly stable in adolescent years and very predictable from early years. The same is observed for each factor of fitness. Moreover, autoregressive models within the context of structural equation modeling are better suited than simple Pearson or Spearman autocorrelations to study the tracking problem of PF.

Adolescent↗

Social imagery, tobacco independence, and the truthsm campaign.

OBJECTIVES: This study investigated relationships among exposure to the truthsm campaign, differences in social imagery about not smoking and related measures, and smoking behavior. We asked, "How does truthsm work? Through what psychological mechanisms does it affect smoking behavior?" We developed a framework to explain how receptivity to truthsm ads might influence youth cognitive states and subsequent effects on progression to established smoking. The main hypotheses were that social imagery about not smoking and related beliefs and attitudes about tobacco use mediate the relationship between truthsm exposure and smoking status. METHODS: The study was based on data from the Legacy Media Tracking Survey (LMTS), waves I-III, which were conducted at three time points from 1999 through 2001. A nationally representative sample of 20,058 respondents aged 12-24 from the three time points was used in the analysis. We developed a structural equation model (SEM) based on constructs drawn from the LMTS. We investigated the model and tested our hypotheses about the psychological and behavioral effects of campaign exposure. RESULTS: We tested our constructs and model using a two-stage structural equation modeling approach. We first conducted a confirmatory factor analysis (CFA) to test the measurement model. Our model achieved satisfactory fit, and we conducted the SEM to test our hypotheses. We found that social imagery and perceived tobacco independence mediate the relationship between truthsm exposure and smoking status. We found meaningful differences between paths for segmented samples based on age, gender, and race/ethnicity subgroups and over time. CONCLUSIONS: The truthsm campaign operates through individuals'sense of tobacco independence and social imagery about not smoking. This study indicates that the campaign's strategy has worked as predicted and represents an effective model for social marketing to change youth risk behaviors. Future studies should further investigate subgroup differences in campaign reactions and utilize contextual information about the truthsm campaign's evolution to explain changes in reactions over time.

Adolescent↗