The Effects of a Couples‐Based Health Behavior Intervention During Pregnancy on Latino Couples’ Dyadic Satisfaction Postpartum

Many couples tend to report steadily decreasing relationship quality following the birth of a child. However, little is known about the postpartum period for Latino couples, a rapidly growing ethnic group who are notably underserved by mental and physical health caregivers in the United States. Thus, this study investigated whether a brief couples’ intervention focused on helping couples support each other while increasing healthy behaviors might improve dyadic functioning postpartum. This study presents secondary analyses of data regarding couple functioning from a larger randomized controlled trial with 348 Latino couples to promote smoking cessation. Portions of the intervention taught the couple communication and problem‐solving skills to increase healthy behavior. Couples participated in four face‐to‐face assessments across 1 year starting at the end of the first trimester. Latent growth curve analyses revealed that the treatment group reported an increase in relationship satisfaction and constructive communication after the intervention, which diminished by 1‐year follow‐up, returning couples to their baseline levels of satisfaction. Results suggest that incorporating a brief couple intervention as part of a larger health intervention for Latinos may prevent postpartum decreases in relationship satisfaction.     

A Cognitive Model of Dynamic Cooperation With Varied Interdependency Information

We analyze the dynamics of repeated interaction of two players in the Prisoner's Dilemma (PD) under various levels of interdependency information and propose an instance‐based learning cognitive model (IBL‐PD) to explain how cooperation emerges over time. Six hypotheses are tested regarding how a player accounts for an opponent's outcomes: the selfish hypothesis suggests ignoring information about the opponent and utilizing only the player's own outcomes; the extreme fairness hypothesis weighs the player's own and the opponent's outcomes equally; the moderate fairness hypothesis weighs the opponent's outcomes less than the player's own outcomes to various extents; the linear increasing hypothesis increasingly weighs the opponent's outcomes at a constant rate with repeated interactions; the hyperbolic discounting hypothesis increasingly and nonlinearly weighs the opponent's outcomes over time; and the dynamic expectations hypothesis dynamically adjusts the weight a player gives to the opponent's outcomes, according to the gap between the expected and the actual outcomes in each interaction. When players lack explicit feedback about their opponent's choices and outcomes, results are consistent with the selfish hypothesis; however, when this information is made explicit, the best predictions result from the dynamic expectations hypothesis.     

Constraints on statistical computations at 10 months of age: the use of phonological features

Recently, several studies have argued that infants capitalize on the statistical properties of natural languages to acquire the linguistic structure of their native language, but the kinds of constraints which apply to statistical computations remain largely unknown. Here we explored French‐learning infants' perceptual preference for labial‐coronal (LC) words over coronal‐labial words (CL) words (e.g. preferring bat over tab) to determine whether this phonotactic preference is based on the acquisition of the statistical properties of the input based on a single phonological feature (i.e. place of articulation), multiple features (i.e. place and manner of articulation), or individual consonant pairs. Results from four experiments revealed that infants had a labial‐coronal bias for nasal sequences (Experiment 1) and for all plosive sequences (Experiments 2 and 4) but a coronal‐labial bias for all fricative sequences (Experiments 3 and 4), independently of the frequencies of individual consonant pairs. These results establish for the first time that constellations of multiple phonological features, defining broad consonant classes, constrain the early acquisition of phonotactic regularities of the native language.     

Children Change Their Answers in Response to Neutral Follow-Up Questions by a Knowledgeable Asker

Burgeoning evidence suggests that when children observe data, they use knowledge of the demonstrator's intent to augment learning. We propose that the effects of social learning may go beyond cases where children observe data, to cases where they receive no new information at all. We present a model of how simply asking a question a second time may lead to belief revision, when the questioner is expected to know the correct answer. We provide an analysis of the CHILDES corpus to show that these neutral follow-up questions are used in parent–child conversations. We then present three experiments investigating 4- and 5-year-old children's reactions to neutral follow-up questions posed by ignorant or knowledgeable questioners. Children were more likely to change their answers in response to a neutral follow-up question from a knowledgeable questioner than an ignorant one. We discuss the implications of these results in the context of common practices in legal, educational, and experimental psychological settings.     

Reducing the Linear Perception of Nonlinearity: Use of a Physical Representation

Research shows that while judging accumulations of quantities over time (e.g., money in a bank account or CO₂ in Earth's atmosphere), people assume that the shape of the accumulation is similar to the shape of the inflow (i.e., people rely on a correlation heuristic). Relying on the correlation heuristic is particularly worrisome for Earth's climate, as judging the CO₂ accumulation according to its emissions (inflow) would underestimate the actual (nonlinear) increase. This misperception undermines the seriousness of climate problem and results in wait‐and‐see behavior. We report two experiments where the effectiveness of a physical representation is compared with graphical and text representations in reducing people's underestimation of nonlinear accumulation in different contexts and problems. A physical representation presents an accumulation using a picture that works as a metaphor. In the first experiment, participants drew the shape of an accumulation over time relying on physical or graphical representations in one of two contexts: carbon dioxide and marbles. Although the participants underestimated the accumulation in both contexts, underestimations were reduced in the physical representation compared with the graphical representation. In the second experiment, we extended the evaluation of physical representations against both text and graphical representations in two different climate problems (with linearly increasing or decreasing inflow). Again, underestimations of the accumulation were reduced in the physical representation compared with the other two representations, regardless of the nature of the problem. We discuss implications of using the physical representation for improving people's estimates of nonlinear CO₂ accumulation. Copyright © 2011 John Wiley & Sons, Ltd.     

Cultural dimensions,socioeconomic development,climate, and emotional hedonic level

A research synthesis was conducted with four studies which correlated national mean self-ratings of affect balance (positive minus negative affect) and subjective well-being with the nations' cultural characteristics (individualism, masculinity, uncertainty avoidance, and power-distance national scores on Hofstede's dimensions), socioeconomic development (Human Development Index), and climate (absolute latitude). A meta-analysis of these collective level cross-cultural studies shows that individualism correlates positively with affect balance and subjective well-being, controlling for socioeconomic development, cultural femininity, power-distance, uncertainty avoidance, and climate. Similar results were found for individual-level data. The meaning of collective-level or national means of individual self-reports of affect balance is discussed.     

What Is the Buzz About Iconicity? How Iconicity in Caregiver Speech Supports Children's Word Learning

One cue that may facilitate children's word learning is iconicity, or the correspondence between a word's form and meaning. Some have even proposed that iconicity in the early lexicon may serve to help children learn how to learn words, supporting the acquisition of even noniconic, or arbitrary, word–referent associations. However, this proposal remains untested. Here, we investigate the iconicity of caregivers’ speech to young children during a naturalistic free-play session with novel stimuli and ask whether the iconicity of caregivers’ speech facilitates children's learning of the noniconic novel names of those stimuli. Thirty-four 1.5-2-year-olds (19 girls; half monolingual English learners and half bilingual English-Spanish learners) participated in a naturalistic free-play task with their caregivers followed by a test of word-referent retention. We found that caregivers’ use of iconicity, particularly in utterances in which they named the novel stimuli, was associated with the likelihood that children learned that novel name. This result held even when controlling for other factors associated with word learning, such as the concreteness and frequency of words in caregiver speech. Together, the results demonstrate that iconicity not only can serve to help children identify the referent of novel words (as in previous research) but can also support their ability to retain even noniconic word-referent mappings.     

Testing parameters in structural equation modeling: every "one" matters

A problem with standard errors estimated by many structural equation modeling programs is described. In such programs, a parameter's standard error is sensitive to how the model is identified (i.e., how scale is set). Alternative but equivalent ways to identify a model may yield different standard errors, and hence different Z tests for a parameter, even though the identifications produce the same overall model fit. This lack of invariance due to model identification creates the possibility that different analysts may reach different conclusions about a parameter's significance level even though they test equivalent models on the same data. The authors suggest that parameters be tested for statistical significance through the likelihood ratio test, which is invariant to the identification choice.     

Estimation of speakers' weight and height from speech: a re-analysis of data from multiple studies by Lass and colleagues

Research on identification of speakers' weight and height from their speech has yielded controversial results. Conclusions from a series of reports conducted by Lass and colleagues must be interpreted with caution because they are based on comparisons of only two types of data, mean of actual values and mean of estimated values. Cohen and others clearly demonstrated that this method of analysis overstated the accuracy of listeners' judgments. Following Van Dommelen's procedure, data from six of Lass's reports were re-analyzed with more appropriate statistics. Results of re-analysis show that (a) listeners are not very efficient guessing the weight or height of speakers, as only 14%, of the estimations correlated significantly with actual values. (b) Judgments are highly consistent under different acoustic conditions, suggesting that listeners follow vocal stereotypes about the body size of speakers, even though these stereotypes are wrong.