Biomedical subjects

David A Kenny

Publications and source records attributed to David A Kenny.

12 recordsLinked to original sources

PubMed2006

Interrelationships between negative energy balance (NEB) and IGF regulation in liver of lactating dairy cows.

In dairy cows, negative energy balance (NEB) during the early post-partum period is associated with major alterations in the growth hormone-insulin-like growth factor (GH-IGF) axis. Since the liver mediates nutrient partitioning during lactation, we aimed to determine how NEB alters the endocrine regulation of the insulin-like growth factor (IGF) system by investigating the expression of IGF family members and related steroid receptors. On the second day of lactation, cows were allocated to one of two treatments designed to produce mild (MNEB) or severe NEB (SNEB). MNEB cows (n=5) were fed ad lib grass silage supplemented with concentrate and milked x1 daily and SNEB cows (n=6) were restricted in dietary intake and milked x3 daily. Energy balance (EB) status was monitored until the second week of lactation when plasma and liver samples revealed a markedly divergent metabolic profile. At this time, plasma protein and hepatic mRNA for IGF-I was reduced in SNEB cows compared with MNEB cows. Both levels of expression correlated highly when data from all animals was pooled (r=0.963; P<0.01). SNEB cows also exhibited reduced hepatic expression for transcripts encoding IGF-1R, IGF-2R, IGF binding proteins (IGFBPs) -3, -4, -5, -6, acid labile subunit, and receptors for oestrogen (ERalpha) and growth hormone (total GHR and 1A variant), while the expression of IGFBP-2 was elevated. Expression of mRNA for IGF-II, IGFBP-1 and receptors for insulin (A/B) and glucocorticoid (alpha) was unaffected by EB. Results demonstrate that SNEB affects hepatic synthesis of IGF-I, and other components known to modulate the bioavailability and stability of circulating IGF-I.

3-Hydroxybutyric Acid↗

PubMed2006

Examining the validity of self-report assessments of family functioning: a question of the level of analysis.

Family assessment instruments attempt to measure family functioning at a particular level of the family system: individual, dyad, or family as a whole. This article introduces the concept of level validity, that is, whether an assessment measures family functioning at the level that it was intended to measure. The authors argue that whenever higher-order factors (e.g., dyadic subsystems) are the target of a measure, these factors should explain variance that is independent of their lower-order constituents (e.g., individual-level characteristics). Previously published data targeting dyadic subsystems within the family were reanalyzed using a model that controls for lower-order effects. Dyad-level factors rarely emerged independent of individual-level factors and, when they did, they did not replicate across samples. The results suggest that level validity should be tested and reported along with other aspects of construct validity before accepting such measures as valid assessments of family functioning.

Adolescent↗

PubMed2006

Structural equation modeling with interchangeable dyads.

Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise (double-entered) dyadic data. They present applications illustrating this approach with the actor-partner interdependence model, confirmatory factor analysis, and latent growth curve analysis.

Bias↗

PubMed2006

Componential analysis of interpersonal perception data.

We examine the advantages and disadvantages of 2 types of analyses used in interpersonal perception studies: componential and noncomponential. Componential analysis of interpersonal perception data (Kenny, 1994) partitions a judgment into components and then estimates the variances of and the correlations between these components. A noncomponential analysis uses raw scores to analyze interpersonal perception data. Three different research areas are investigated: consensus of perceptions across social contexts, reciprocity of attraction, and individual differences in self-enhancement. Finally, we consider criticisms of componential analysis. We conclude that interpersonal perception data necessarily have components (e.g., perceiver, target, measure, and their interactions), and that the researcher needs to develop a model that best captures the researcher's questions.

Humans↗

PubMed2004

Reconceptualizing individual differences in self-enhancement bias: an interpersonal approach.

Self-enhancement bias has been studied from 2 perspectives: L. Festinger's (1954) social comparison theory (self-enhancers perceive themselves more positively than they perceive others) and G. W. Allport's (1937) self-insight theory (self-enhancers perceive themselves more positively than they are perceived by others). These 2 perspectives are theoretically and empirically distinct, and the failure to recognize their differences has led to a protracted debate. A new interpersonal approach to self-enhancement decomposes self-perception into 3 components: perceiver effect, target effect, and unique self-perception. Both theoretical derivations and an illustrative study suggest that this resulting measure of self-enhancement is less confounded by unwanted components of interpersonal perception than previous social comparison and self-insight measures. Findings help reconcile conflicting views about whether self-enhancement is adaptive or maladaptive.

Adult↗

PubMed2004

Application of the social relations model to family assessment.

A family assessment serves two primary purposes: the guidance of clinical interventions and the evaluation of clinical outcomes. To support these activities, a family assessment should provide a level of descriptive detail with respect to family functioning that is commensurate with a family systems perspective. Unfortunately, most widely used self-report family assessment instruments do not provide that level of detail. This article presents a descriptive approach to family assessment that is based on the application of the social relations model (SRM; D. A. Kenny & L. La Voie, 1984) to round-robin family data. In contrast to previous presentations of the SRM, this article outlines the procedure for assessing a single family, thus translating SRM analysis from a basic research tool into an applied, clinical assessment tool.

Adolescent↗

PubMed2004

Effects of racial diversity on complex thinking in college students.

An experiment varying the racial (Black, White) and opinion composition in small-group discussions was conducted with college students (N = 357) at three universities to test for effects on the perceived novelty of group members' contributions to discussion and on participants' integrative complexity. Results showed that racial and opinion minorities were both perceived as contributing to novelty. Generally positive effects on integrative complexity were found when the groups had racial- and opinion-minority members and when members reported having racially diverse friends and classmates. The findings are discussed in the context of social psychological theories of minority influence and social policy implications for affirmative action. The research supports claims about the educational significance of race in higher education, as well as the complexity of the interaction of racial diversity with contextual and individual factors.

Adult↗

PubMed2004

Evaluation of treatment programs for persons with severe mental illness: moderator and mediator effects.

This study evaluated several statistical models for estimating treatment effects in a randomized, longitudinal experiment comparing assertive community treatment (ACT) versus brokered case management (BCM). In addition, mediator and moderator analyses were conducted. The ACT clients had improved outcomes in terms of housing and psychiatric symptoms than BCM clients. Case management housing assistance and financial assistance partially mediated housing outcomes. No reliable mediators were found for psychiatric symptoms, and no reliable moderators were found for either housing or psychiatric symptoms. The study also made several important methodological advances in the analysis of longitudinal data in randomized experiments.

Adult↗

PubMed2004

PERSON: a general model of interpersonal perception.

A general theoretical model of interpersonal perception called PERSON (personality, error, residual, stereotype, opinion, and norm) is developed. This model reparameterizes a weighted-average model (WAM; Kenny, 1991; Kenny, Albright, Malloy, & Kashy, 1994) into six components. Two of those components refer to categorical information and 4 to behavioral information. Based on a formal model, for which parameters are estimated from previous research studies, several implications are developed. The PERSON model can explain the low level of consensus in person perception, the fact that consensus does not increase with greater acquaintance, the strong stability of interpersonal judgment, the overconfidence effect, and the fact that short-term judgments are sometimes as accurate as long-term judgments. The PERSON model generally predicts that acquaintance is not as important in person perception as generally thought.

Humans↗

PubMed2003

Lower level mediation in multilevel models.

Multilevel models are increasingly used to estimate models for hierarchical and repeated measures data. The authors discuss a model in which there is mediation at the lower level and the mediational links vary randomly across upper level units. One repeated measures example is a case in which a person's daily stressors affect his or her coping efforts, which affect his or her mood, and both links vary randomly across persons. Where there is mediation at the lower level and the mediational links vary randomly across upper level units, the formulas for the indirect effect and its standard error must be modified to include the covariance between the random effects. Because no standard method can estimate such a model, the authors developed an ad hoc method that is illustrated with real and simulated data. Limitations of this method and characteristics of an ideal method are discussed.

Data Interpretation, Statistical↗

PubMed2002

The statistical analysis of data from small groups.

The authors elaborate the complications and the opportunities inherent in the statistical analysis of small-group data. They begin by discussing nonindependence of group members' scores and then consider standard methods for the analysis of small-group data and determine that these methods do not take into account this nonindependence. A new method is proposed that uses multilevel modeling and allows for negative nonindependence and mutual influence. Finally, the complications of interactions, different group sizes, and differential effects are considered. The authors strongly urge that the analysis model of data from small-group studies should mirror the psychological processes that generate those data.

Humans↗

PubMed2002

The triangle of interpersonal models.

This article develops a framework for social psychology, the triangle of interpersonal models (TIM). TIM is a 2-dimensional classification scheme for the impact of people on social-psychological phenomena. TIM classifies a social-psychological phenomenon by the number of people who contribute to the phenomenon and the number of distinct social-psychological functions that those people serve. TIM includes models for phenomena that involve 1 person, 2 people, 3 people, and p people. In those phenomena, people serve 1, 2, 3, or f distinct social-psychological functions. TIM decomposes complex phenomena into components that reflect different levels of interpersonal causation. It brings rigor to holistic conceptions of social psychology and offers a fresh perspective on the relationship between the individual and the group.

Group Processes↗