Individual Pooling for Group-Based Modeling Under the Assumption of Ergodicity

Psychology principally utilizes nomothetic, interindividual approaches to model phenomena of interest. However, it is the case that these approaches do not always capture the processes for each individual in the sample. If the research is focused on individual processes, confining analysis to the idiographic level may be more appropriate. One way to overcome the nomothetic inability to capture idiographic processes is to identify those participants who meet the criteria of ergodicity and restrict analysis to the resulting sample. Under these conditions it is quantitatively justifiable to create a group model without concern that it may fail to represent each member's idiographic process. In this study we explore the utility of such a method by (a) applying an ergodic pooling test to a sample of dyads (N = 128) who provided daily (T = 50) self-reports of affect, (b) applying an ergodic pooling test to samples (N = 4) of simulated ergodic time series data (T = 50, 250, and 1,000), (c) modeling dyads and simulated subgroups identified as ergodic, and (d) comparing the results from a model specified at the group level with those from models specified at the individual level.     

Feelings of vulnerability in response to threatening messages: Effects of self-affirmation

We examined effects of self-affirmation on feelings of vulnerability and behavioral intentions following exposure to personally threatening messages varying in message strength. In Experiment 1, female alcohol consumers read a strong message linking alcohol to breast cancer risk. Self-affirmed participants exhibited higher feelings of vulnerability concerning consumption levels and personal risk. In Experiment 2, female caffeine consumers read a weak or strong message linking caffeine to breast disease. Self-affirmed participants reported greater feelings of vulnerability to breast disease and greater intentions to reduce caffeine consumption (relative to control participants) only when reading the strong message. Effects on intentions were mediated by effects on feelings of vulnerability. These studies show that feelings of vulnerability can mediate effects of self-affirmation on intentions to change behavior under threat, although only in the presence of strong messages.     

Reciprocal teaching and self-monitoring of strategy use: effects on reading comprehension

Reciprocal teaching (RT) is an instructional procedure to teach students cognitive strategies that might lead to improved reading comprehension. However, self-monitoring (SM) strategy use can optimize instruction of comprehension. Thus, the present study analyzed: (a) the efficacy of RT in regular classes and (b) the efficacy of RT + SM of strategy use. A sample of 59 students in the fourth year of primary education was selected: 19 children were selected as an RT condition, 18 as an RT + SM condition, while the remaining 22 made up the comparison group. Two types of comprehension measures were used: tasks of specific effects (getting the main idea, writing a summary, comprehension-monitoring test) and transfer effect measures (standardised tests, word meaning inference, and free recall). Thus, the results show that both the RT condition and the RT + SM condition benefited from the instruction, performing better than the comparison group in measures of specific effects and in some of the transfer effect measures. This result shows that SM is not a necessary component in the instruction of reading comprehension with RT.     

Reaction times as a measure of uncertainty

In this article, a method is presented to analyse relationships between detection or discrimination frequencies and reaction times in psychophysical tasks. It is shown in three empirical data sets that reaction time decreases as a linear function of the absolute value of the logit transforms of the response probabilities. Such a function stresses the characteristic uncertainty associated with subjects' responses and the relation between their response parameters and the response criterion used by the subjects.     

Associations of spontaneous self-affirmation with health care experiences and health information seeking in a national survey of US adults

Objective: Self-affirming – such as by reflecting on one’s strengths and values – reduces defensiveness to threatening information, reduces negative effects of stereotype threat and promotes prosociality. These outcomes may promote physical health, highlighting a need to examine the role of self-affirmation in medical and health contexts.

Design: Data were collected as part of the nationally representative, cross-sectional, 2013 Health Information National Trends Survey. Items were completed by 2731 respondents.

Main Outcome Measures: Respondents answered questions about spontaneous self-affirmation tendencies, perceptions of providers and health care, involvement in medical appointments, health information seeking and engagement in medical research.

Results: Spontaneous self-affirmation was associated with more positive perceptions of communication with one’s provider, better perceived quality of care, greater likelihood of asking questions in a medical appointment, greater information seeking for oneself and multiple indices of surrogate information seeking (i.e. seeking information for others). Four of eight significant associations remained significant when controlling for optimism. The associations of self-affirmation with aspects of the patient–provider relationship were not modified by factors likely to be associated with stereotype threat (e.g. race or BMI).

Conclusion: Spontaneous self-affirmation was related to positive outcomes in health contexts. Experimental research is needed to further explore the causal nature of these associations.     

An Idiographic Approach to Estimating Models of Dyadic Interactions with Differential Equations

We present an idiographic approach to modeling dyadic interactions using differential equations. Using data representing daily affect ratings from romantic relationships, we examined several models conceptualizing different types of dyadic interactions. We fitted each model to each of the dyads and the resulting AICc values were used to classify the most likely configuration of interaction for each dyad. Additionally, the AICc from the different models were used in parameter averaging across models. Averaged parameters were used in models involving predictors of relationship dynamics, as indexed by these parameters, as well as models wherein the parameters predicted distal outcomes of the dyads such as relationship satisfaction and status. Results indicated that, within our sample, the most likely interaction style was that of independence, without evidence of emotional interrelations between the two individuals in the couple. Attachment-related avoidance and anxiety showed significant relations with model parameters, such that ideal levels of affect for males were negatively influenced by higher levels of avoidance from their partner while their own levels of anxiety had positive effects on their levels of dyadic coregulation. For females coregulation was negatively influenced by both time in the relationship and their partner’s level of avoidance. Analysis involving distal outcomes showed modest influences from the individual’s level of ideal affect.