Updating situation models

The authors examined how situation models are updated during text comprehension. If comprehenders keep track of the evolving situation, they should update their models such that the most current information, the here and now, is more available than outdated information. Contrary to this updating hypothesis, E. J. O'Brien, M. L. Rizzella, J. E. Albrecht, and J. G. Halleran (1998) obtained results suggesting that outdated or incorrect information may still influence the comprehension process. The authors of the current study demonstrate that the nature of E. J. O'Brien et al.'s materials were the likely cause of this pattern of results. Hence, the current authors constructed materials that circumvent identified confounds and in a reading-time experiment obtained evidence supporting the here-and-now hypothesis.     

Perceptual components of situation models

These experiments examined the hypothesis that situation model construction involves perceptual processing--specifically, processing that involves visuospatial information. In this research, a dual-task paradigm was used to demonstrate that tasks that engage visuospatial processes interfere more with the generation of a situation model than tasks that are less likely to involve these processes or tasks that are verbal in nature. Using Albrecht and O'Brien's (1993) contradiction effect as evidence of situation model construction, Experiment 1 demonstrated that participants reading short texts while simultaneously holding high-imagery sentences in memory failed to show a significant contradiction effect in comparison with readers holding low-imagery sentences in memory. In Experiment 2, participants reading texts while retaining a difficult visuospatial memory load showed disrupted comprehension in comparison with readers retaining a verbal memory load.     

Temporal and spatial distance in situation models

In two experiments, we investigated how readers use information about temporal and spatial distance to focus attention on the more important parts of the situation model that they create during narrative comprehension. Effects of spatial distance were measured by testing the accessibility in memory of objects and rooms located at differing distances from the protagonist's current location. Before the test probe, an intervening episode was inserted in the narrative. Story time distance was manipulated by stating that the intervening episode lasted for either minutes or hours. Discourse time--that is, time spent reading from prime to test--was manipulated by describing the intervening episode either briefly or at length. Clear effects of story time distance and spatial distance on accessibility were found, whereas discourse time distance did not affect accessibility. The results are interpreted as supporting constructionist theories of text comprehension.     

The organization of information retrieved from situation models

The organization of information when it is retrieved from situation models was explored using recognition and recall tests. A fan effect paradigm was used to assess organization in recognition and a clustering measure was used in recall. People memorized either object-location facts (e.g., “The pay phone is in the city hall”) or person/small location facts (e.g., “The banker is on the witness stand”). For object-location facts, a location-based organization was observed in both recall and recognition. However, for person/small location facts, a location-based organization was observed for recall, and a person-based organization was observed for recognition. Thus, the observed organization was flexible depending on the retrieval task.     

The construction of spatial situation models during reading

Psycholinguistic research faces a major challenge in describing the mental representations readers construct from a text. It is now widely accepted that readers end with a representation of the situation described in the text. However, it is unclear whether this representation allows the activation of elements in accordance with their situation proximity. To answer this question, two experiments were conducted. Participants read texts, sentence by sentence, which gave them instructions about how to arrange items in a layout; they then performed a recognition task. By manipulating the spatial proximity between prime and probe items, this task allowed the measurement of a spatial priming effect. In the first experiment, a larger priming effect was observed for closer items on the spatial layout. The second experiment replicated these findings and showed that the priming effects are better explained by categorical distance than by Euclidean distance.     

Memory retrieval and suppression: the inhibition of situation models

When people retrieve newly learned facts on a recognition test, they are often increasingly slowed by the number of other newly learned facts that have a concept in common with the probed fact. This is called the fan effect. Assuming that people are using situation models of the learned information, the author considers whether the inhibition of competing representations is one of the processes involved in the fan effect. Evidence was found for negative priming of related but irrelevant situation models, thus supporting the idea that the inhibition of highly related memory traces is used in long-term memory retrieval. As such, this is a form of retrieval-based inhibition.     

Estimating multiple classification latent class models

This paper presents a new class of models for persons-by-items data. The essential new feature of this class is the representation of the persons: every person is represented by its membership tomultiple latent classes, each of which belongs to onelatent classification. The models can be considered as a formalization of the hypothesis that the responses come about in a process that involves the application of a number ofmental operations. Two algorithms for maximum likelihood (ML) and maximum a posteriori (MAP) estimation are described. They both make use of the tractability of the complete data likelihood to maximize the observed data likelihood. Properties of the MAP estimators (i.e., uniqueness and goodness-of-recovery) and the existence of asymptotic standard errors were examined in a simulation study. Then, one of these models is applied to the responses to a set of fraction addition problems. Finally, the models are compared to some related models in the literature.Thanks are to Paul De Boeck for creating the intellectually stimulating atmosphere in which this class of models came about, Iven van Mechelen for theone-sided idea, Kikumi Tatsuoka for the use of her data, and Theodoor Bouw for running part of the simulation study.     

Cognitive diagnosis models for multiple strategies

Cognitive diagnosis models (CDMs) have been used as psychometric tools in educational assessments to estimate students’ proficiency profiles. However, most CDMs assume that all students adopt the same strategy when approaching problems in an assessment, which may not be the case in practice. This study develops a generalized multiple-strategy CDM for dichotomous response data. The proposed model provides a unified framework to accommodate various condensation rules (e.g., conjunctive, disjunctive, and additive) and different strategy selection approaches (i.e., probability-matching, over-matching, and maximizing). Model parameters are estimated using the marginal maximum likelihood estimation via expectation-maximization algorithm. Simulation studies showed that the parameters of the proposed model can be adequately recovered and that the proposed model was relatively robust to some types of model misspecifications. A set of real data was analysed as well to illustrate the use of the proposed model in practice.     

Affect- and self-based models of relationships between daily events and daily well-being

The present study examined affect- self-based explanatory models of relationships between daily events and daily well-being. Twice a week for up to 10 weeks, participants described the events that occurred each day and provided measures of their daily affect, self-esteem, and depressogenic thinking. Participants also provided trait-level measures of affect, depression, and self-esteem. Measures of daily well-being representing each model covaried jointly and independently with daily negative and positive events. Positive events buffered the effects of negative events on daily self-esteem and daily depressogenic thinking, whereas there was no buffering effect for daily affect. More depressed people were more reactive to positive events, and those higher in trait PA were less reactive to negative events. Buffering effects for self-esteem were pronounced for those with lower trait self-esteem, and buffering effects for daily depressogenic adjustment were now more pronounced for those with higher trait negative affect. The results suggest that affect- and self-based models provide complementary perspectives on relationships between psychological well-being and daily events.     

Multi-Agent neurocognitive models of semantics of spatial localization of events

The purpose of the study is to develop a learning system for internal representation of the events localization space to realize orientation and navigation of autonomous mobile systems. The task of the research is the development of simulation models of the semantics of the event localization space based on multi-agent neurocognitive architectures. The paper proves that the multi-agent neurocognitive architecture is an effective formalism for describing the semantics of the spatial localization of events. Main theoretical foundations have been developed for the simulation of spatial relations using the so-called multi-agent facts, consisting of software agents-concepts, reflecting semantic categories corresponding to parts of speech. It is shown that locative software agents that describe the spatial location of objects and events, forming homogeneous connections, compose the so-called field locations. The latter describes a holistic view of the intellectual agent about the environment. The paper defines conceptual foundations of multi-agent modeling of the semantics of subjective reflexive mapping of the interaction between real objects, space and time.     

Person x situation interactions: choice of situations and congruence response models

Two models of Person x Situation interaction wee examined. The first model predicts that there is a relation between personality and the situations people naturally choose to be in; the second model predicts that when there is congruence between the situation and personality, a person will experience more positive and less negative affect. These models were investigated by using mood and activity reports gathered on 3,512 occasions sampled randomly from the everyday lives of 42 subjects. Situational dimensions were related to some but not all personality variables investigated. Need for order predicted choice of typical situations and extraversion correlated with time spent recreating socially. However, it was found that individuals did not spend more time in those settings where they experienced more positive emotions nor less time in those situations where they experienced more negative affect. In terms of the affect-congruence model, several predicted relations wee found, but several others did not reach significance. The failure of the affect-congruence model to be consistently supported was probably because the affect of individuals was relatively consistent across situations. The present results suggest that although some theoretically meaningful Person x Situation interactions do occur, they are not necessarily strong or easily predictable.     

Selecting one among many referents in spatial situation models

Five experiments related anaphor resolution to a classic memory variable, namely, interference created by multiple uses of a given object-concept, and by spatial distance of the referent from the reader's focus of attention. Participants memorized a diagram of a building with rooms containing objects, and then read narratives describing characters' activities there. Reading was self-paced word by word. Accessibility was measured by readers' time to understand anaphoric sentences containing a definite noun phrase referring to an object in its room. Spatial distance between the object and the current focus of attention increased reading times for names of the object, the room, and sentence wrap-up. Multiple examples of a target-object increased its reading time only if they were scattered across different rooms. An associative model of memory retrieval during text comprehension was used to interpret the complex pattern of results.     

Children of alcoholics, negative life events, and early experimentation with drugs

Questionnaires were completed by sixth-grade students and their parents in order to assess differences between children of alcoholics (COAs) and their peers, as well as the relations between family environment and children's experimentation with alcohol, drugs, and tobacco. Social competence and problematic behavior were also explored. The best predictors of early experimentation with alcohol, drugs, and tobacco were the experience of negative life events, family conflict, and lack of family cohesion, but not COA status per se. Differences were found between COAs and non-COAs in respect to family structure, parent education levels, and family environment. COAs were found to be significantly more likely than their peers to experiment with tobacco, but not alcohol or drugs. They also had a tendency to engage more frequently in delinquent behavior. Recommendations for future research and implications for preventive activities are discussed.     

Achievement goals and optimal motivation: testing multiple goal models

Currently, there is a debate about which types of achievement goals promote optimal motivation. A number of theorists argue for a mastery goal perspective focusing on the adaptive consequences of mastery goals and the maladaptive consequences of performance goals. Others endorse a multiple goal perspective in which both mastery and performance goals can be beneficial. The purpose of the present investigation was to review why this debate has emerged and to offer a critical test of the mastery versus multiple goal perspectives. In Study 1, a correlational approach was used to identify the optimal goals for college participants to adopt for a learning activity. In Study 2, an experimental approach was used to identify the optimal goals to assign for the same activity. Each study revealed benefits of both mastery and performance goals, providing support for the multiple goal perspective.     

Comparing the predictive powers of alternative multiple regression models

Mean squared error of prediction is used as the criterion for determining which of two multiple regression models (not necessarily nested) is more predictive. We show that an unrestricted (or true) model witht parameters should be chosen over a restricted (or misspecified) model withm parameters if (P _t ² ?P _m ² )>(1?P _t ² )(t?m)/n, whereP _t ² andP _m ² are the population coefficients of determination of the unrestricted and restricted models, respectively, andn is the sample size. The left-hand side of the above inequality represents the squared bias in prediction by using the restricted model, and the right-hand side gives the reduction in variance of prediction error by using the restricted model. Thus, model choice amounts to the classical statistical tradeoff of bias against variance. In practical applications, we recommend thatP ² be estimated by adjustedR ² . Our recommendation is equivalent to performing theF-test for model comparison, and using a critical value of 2?(m/n); that is, ifF>2?(m/n), the unrestricted model is recommended; otherwise, the restricted model is recommended.     

An elicitation method for multiple linear regression models

This paper describes a method of quantifying subjective opinion about a normal linear regression model. Opinion about the regression coefficients and experimental error is elicited and modeled by a multivariate probability distribution (a Bayesian conjugate prior distribution). The distribution model is richly parameterized and various assessment tasks are used to estimate its parameters. These tasks include the revision of opinion in the light of hypothetical data, the assessment of credible intervals, and a task commonly performed in cue-weighting experiments. A new assessment task is also introduced. In addition, implementation of the method in an interactive computer program is described and the method is illustrated with a practical example.     

From single to multiple deficit models of developmental disorders

The emerging etiological model for developmental disorders, like dyslexia, is probabilistic and multifactorial while the prevailing cognitive model has been deterministic and often focused on a single cognitive cause, such as a phonological deficit as the cause of dyslexia. So there is a potential contradiction in our explanatory frameworks for understanding developmental disorders. This paper attempts to resolve this contradiction by presenting a multiple cognitive deficit model of developmental disorders. It describes how this model evolved out of our attempts to understand two comorbidities, those between dyslexia and attention deficit hyperactivity disorder (ADHD) and between dyslexia and speech sound disorder (SSD).     

Using temporal information to construct, update, and retrieve situation models of narratives

Four experiments explored how readers use temporal information to construct and update situation models and retrieve them from memory. In Experiment 1, readers spontaneously constructed temporal and spatial situation models of single sentences. In Experiment 2, temporal inconsistencies caused problems in updating situation models similar to those observed previously for other dimensions of situation models. In Experiment 3, merely implied temporal order information was inferred from narratives, affecting comprehension of later sentences like explicitly stated order information. Moreover, inconsistent temporal order information prevented the creation and storage in memory of an integrated situation model. In Experiment 4, a temporal inconsistency increased processing time even if readers were unable to report the inconsistency. These results confirm the significance of the temporal dimension of situation models.