Expectancies of infant-feeding methods among mothers in three ethnic groups

Abstract

The psychometric characteristics and construct validity of an inventory of expectancy statements about breast- and formula-feeding were assessed to refine a measure of the predictors of breastfeeding initiation and maintenance. Respondents were a tri-ethnic sample of mostly lower income mothers within two days after delivery. Ninety-six expectancy items reflecting eight hypothesized domains in expectancies of breastfeeding (BF) and formula-feeding(FF) were submitted to maximum likelihood factor analysis. Four factors were determined: “Benefits of BF,” “Relative Advantages of FF,” “Inconveniences of FF,” and “Relative Inconveniences of BF.” All factors were significantly related to actual BF of the new infant in the expected directions using unweighted factor scores in a multiple logistic regression analysis. Predicted BF closely matched actual BF for all ethnicities combined with a total error rate for misclassification of only 14%. This match was high for Anglo- and Black-American mothers. Each of the factors was determined to be reliably estimated by the ten most highly loaded items without an appreciable loss of internal consistency. Further research must assess expectancies prior to delivery in order to assess their predictiveness of behavior. and must further clarify the meaning of the expectancy factors to facilitate intervention.     

Counting the Faithful: Measuring Local Religious Contexts in the United States

This study compares the estimates of religious composition of counties in the United States from three independent datasets: the 2010 Religious Congregational Membership Study (RCMS); the 2010 Infogroup Congregational membership data (INFO); and the Gallup Daily Poll—a large national survey with more than 1.3 million respondents. My analyses suggest that the estimates for most major religious groups from the three datasets are highly correlated to each other. In addition, the measures of local religious compositions from the three datasets successfully predict the religious composition of friendship networks in a large, nationally representative survey. These findings suggest that RCMS, the most widely used data source for measuring local religious composition in the United States, has a convergent and predictive validity. My analyses, however, also highlight important challenges in measuring geographic distributions of non‐Christian populations, as well as total religious populations in all religious traditions.     

Using Interactive Theater to Create Socioculturally Relevant Community-Based Intimate Partner Violence Prevention

This article describes the use of interactive theater, audience response assessment, and peer educators to create community-generated approaches for bystander interventions (i.e., actions taken by people who become aware of controlling, abusive and violent behavior of others) to prevent intimate partner violence (IPV) and to foster change in community norms. We include a case example of an ongoing university–community partnership, which mobilizes community members to develop and implement socioculturally relevant IPV prevention programs in multiple Asian communities. We used interactive theater at a community event—a walk to raise awareness about IPV in South Asian communities—and examined how the enacted bystander interventions reflect specific community contexts. We detail the challenges and limitations we have encountered in our attempts to implement this approach in collaboration with our community partners.     

人类为什么会好奇?人际好奇的概念、功能及理论解释

人际好奇是个体对他人的信息产生的好奇,其中包括对他人的生活经历、生活习惯和细节,以及想法、感受、动机产生的好奇。人际好奇受到个体性别、年龄、个体状态、人格和文化价值观等因素的影响,而且人际好奇在人际关系的建立与维持、人格判断、文化学习和维护社会规范等方面有积极影响。人际好奇可以用本能论、信息缺口理论、兴趣?剥夺理论和社会比较理论加以解释。目前对人际好奇研究较少,未来需从毕生发展的角度探索人际好奇,研究网络中的人际好奇现象,进一步完善人际好奇的测量方式,加强基础研究和实证研究,考虑文化因素的影响等。     

Factorial Structure of the Family Values Scale From a Multilevel-Multicultural Perspective

In cross-cultural research, there is a tendency for researchers to draw inferences at the country level based on individual-level data. Such action implicitly and often mistakenly assumes that both the measuring instrument and its underlying construct(s) are operating equivalently across both levels. Based on responses from 5,482 college students sampled from 27 countries, we took a structural equation modeling approach to addressing this issue of level equivalence. Purposes of the study were: (a) to validate the hypothesized two-factor structure of the Family Values Scale (FV Scale; Georgas, 1999) within a multilevel framework that took individual- and country-level information into account; (b) to test equivalence of the FV Scale across individual and country levels; and (c) to evaluate relations between the FV Scale and three possibly important covariates—gender at the individual level, and affluence and religion at the country level. Implications of findings and importance of multilevel equivalence in cross-cultural research are discussed.     

Behavioral methods of assessing forgiveness

One problem in forgiveness research is the reliance on one method (i.e. having people recall an offense and complete self-report measures). Thus, we present two strategies for studying forgiveness-related behavior. First, we adapted the Cyberball paradigm, which is a game of toss where two computer players (ostensibly virtual players) exclude the participant from play. We adapted Cyberball to include a second round that gave participants the opportunity to retaliate or forgive the player who excluded them. Self-reported forgiveness predicted the first toss and total number of tosses to the offender in the subsequent round. Second, we had participants describe an offense (as is typical with the recall method), but then also complete an activity in which they listed as many positive qualities as they could about the offender. Self-reported forgiveness predicted the number of positive qualities listed. We discuss the contribution of these studies to the multimodal study of forgiveness.     

Seven things to consider when measuring religious identity

Measuring religious identity is complex. The author offers seven suggestions for those who wish to describe and understand religious identity using survey data:

• (1)?Definitions and measures of religious identity shape knowledge about religious groups;

• (2)?Variation in question wording leads to variation in responses;

• (3)?Comparing results across surveys provides valuable perspective;

• (4)?Incentives shape how respondents report their religious identity;

• (5)?Religious identity may be liminal;

• (6)?Salient identity categories are often unmeasured; and

• (7)?Religious identity and religious practice may not seem congruent.

This essay includes many examples to illustrate these measurement suggestions.     

Measuring Stereotypes of Female Politicians

One explanation for the dearth of women in elected office is that voters stereotype candidates based on their gender. Research in this vein often assumes that female candidates will be stereotyped similarly to women (e.g., as compassionate) and measures stereotypes as such. We question this assumption, proposing instead that female politicians constitute a subtype—a new stereotypical category with its own qualities—of the broader group of women. We compare the content of female politician stereotypes to other relevant comparison groups including politicians, male politicians, and female professionals. Using a classic methodology to determine stereotype content (Katz & Braly, 1933), we find that female politicians do not share the qualities that are ascribed to women (e.g., warm, empathetic). Our results show that female politicians seem to be “losing” on male stereotypical qualities while also not having any advantage on qualities typical of women. The content of female politician stereotypes is nebulous and lacks clarity in comparison to all other groups examined. We discuss implications for the future measurement of politician stereotypes.     

Stiffness properties of the trunk in people with low back pain

The purpose of this study was to examine the dynamic properties of the trunk during unstable sitting and to determine differences between healthy and low back pain (LBP) participants.Participants sat on a custom-made chair that was able to swing freely in the sagittal plane. The chair was mounted on a force platform to measure loads acting at the trunk. Each participant was asked to find a balanced position after the chair was tilted backward and released. Movements of the trunk and chair were recorded. Effective moment of inertia, stiffness and damping coefficients were derived using a second order linear model. 10 participants were re-tested to assess reliability.Trunk stiffness was found increased for LBP subjects (p < .05) while no difference was found for damping coefficient. Gender and initial tilt angle did not affect viscoelastic properties of the spine.A second order linear model adequately described the biomechanical response of the trunk. It was shown that the trunk response was mainly elastic for all participants. The increase in trunk stiffness in LBP subjects could be a compensatory strategy to decrease pain and the risk of further injuries, but further investigations are needed to understand the nature of the viscoelastic alterations.     

Catching nonconscious goals in the act of decision making

Research has consistently found that goals triggered by environmental cues can influence decision making processes outside of conscious awareness. This lack of awareness led naturally to the presumption that decision makers could not report the activation level of nonconsciously primed goals. This paper shows that goal activation levels can be reported, so long as the report is made during the decision process on a continuous goal activation scale. These results indicate that default lack of awareness is less a limitation of the cognitive system and more a function of the method used to recover goals during a decision process.