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91.
92.
James E. Deal 《Family process》2019,58(3):749-760
Issues of normativity (responding in a typical or average fashion) and desirability (the tendency for raters to endorse positive characteristics rather than neutral or more negative ones) are common in areas of the social sciences that frequently utilize profile correlations to measure dyadic similarity. They have implications for family scholars as well. In the present study, a pre‐existing data set was used to make an initial, though limited, investigation into potential confounds of normativity and desirability for macrolevel observational assessments of family interaction. An empirical example is presented using q‐sort ratings of family interaction, with variance in observational assessments decomposed into component parts. High levels of both normativity and desirability were found, indicating possible problems in terms of both reliability and validity of assessment. While the results provide an interesting beginning, they are limited due to the use of a q‐sort methodology as well as an instrument with limited background and use. These limitations are discussed, as well as alternative interpretations for normativity and desirability and implications for future research. 相似文献
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The first aim of this research is to compare computational models of multi-alternative, multi-attribute choice when attribute values are explicit. The choice predictions of utility (standard random utility & weighted valuation), heuristic (elimination-by-aspects, lexicographic, & maximum attribute value), and dynamic (multi-alternative decision field theory, MDFT, & a version of the multi-attribute linear ballistic accumulator, MLBA) models are contrasted on both preferential and risky choice data. Using both maximum likelihood and cross-validation fit measures on choice data, the utility and dynamic models are preferred over the heuristic models for risky choice, with a slight overall advantage for the MLBA for preferential choice. The response time predictions of these models (except the MDFT) are then tested. Although the MLBA accurately predicts response time distributions, it only weakly accounts for stimulus-level differences. The other models completely fail to account for stimulus-level differences. Process tracing measures, i.e., eye and mouse tracking, were also collected. None of the qualitative predictions of the models are completely supported by that data. These results suggest that the models may not appropriately represent the interaction of attention and preference formation. To overcome this potential shortcoming, the second aim of this research is to test preference-formation assumptions, independently of attention, by developing the models of attentional sampling (MAS) model family which incorporates the empirical gaze patterns into a sequential sampling framework. An MAS variant that includes attribute values, but only updates the currently viewed alternative and does not contrast values across alternatives, performs well in both experiments. Overall, the results support the dynamic models, but point to the need to incorporate a framework that more accurately reflects the relationship between attention and the preference-formation process. 相似文献
95.
Zachary P. Neal Jennifer Watling Neal 《American journal of community psychology》2017,60(1-2):279-295
Network analysis holds promise for community psychology given the field's aim to understand the interplay between individuals and their social contexts. Indeed, because network analysis focuses explicitly on patterns of relationships between actors, its theories and methods are inherently extra‐individual in nature and particularly well suited to characterizing social contexts. But, to what extent has community psychology taken advantage of this network analysis as a tool for capturing context? To answer these questions, this study provides a review of the use network analysis in articles published in American Journal of Community Psychology . Looking back, we describe and summarize the ways that network analysis has been employed in community psychology research to understand the range of ways community psychologists have found the technique helpful. Looking forward and paying particular attention to analytic issues identified in past applications, we provide some recommendations drawn from the network analysis literature to facilitate future applications of network analysis in community psychology. 相似文献
96.
Kyra Hamilton Emily J. Kothe Barbara Mullan Teagan Spinks 《Psychology & health》2017,32(12):1518-1533
Objective: Examine the roles of action and coping planning on the intention–behaviour relationship for mothers’ decisions for their young children’s dietary behaviours.
Design: Prospective design with two waves of data collection, one week apart.
Main outcome measures: Mothers (N = 197, Mage = 34.39, SD = 5.65) of children aged 2–3 years completed a main questionnaire assessing planning constructs and intentions, and a one-week follow-up of the target behaviours – ‘healthy eating’ and ‘discretionary choices’.
Results: Intention was the strongest predictor of behaviour for both dietary behaviours. For healthy eating, intention moderated the indirect relationship between intention–behaviour via planning; coping planning was less important when intention was strong. Further, intention was not a direct predictor of behaviour when intention was relatively low. Action planning was not a direct predictor of either behaviour after accounting for intention and coping planning; action planning on behaviour was mediated by coping planning (only for healthy eating). Intention was not a direct predictor of coping planning; intention on coping planning was mediated by action planning. Neither type of planning predicted discretionary choices.
Conclusion: Current findings contribute novel information on the mechanisms underpinning the effect of action and coping planning on the intention–behaviour relationship. 相似文献
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Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
99.
A Dual Process Model (DPM) approach to prejudice proposes that there should be at least two dimensions of generalized prejudice relating to outgroup stratification and social perception, which should be differentially predicted by Right‐Wing Authoritarianism (RWA) and Social Dominance Orientation (SDO). The current study assessed the causal effects of SDO and RWA on three dimensions of prejudice using a full cross‐lagged longitudinal sample (N = 127). As expected, RWA, but not SDO, predicted prejudice towards ‘dangerous’ groups, SDO, but not RWA, predicted prejudice towards ‘derogated’ groups, and both RWA and SDO predicted prejudice towards ‘dissident’ groups. Results support previously untested causal predictions derived from the DPM and indicate that different forms of prejudice result from different SDO‐ and RWA‐based motivational processes. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
100.
Howard B. Smith Thomas H. Sexton Loretta J. Bradley 《Counselling and Psychotherapy Research》2005,5(4):285-290
The purpose of the broader project on which this report is based was to utilize a Practice Research Network, an alternative to traditional clinical studies to 1) identify demographically one practice group, namely professional counselors in the United States, 2) describe their practice patterns, and 3) identify their client population and the efficacy of their clinical work through client outcomes based on actual client reports. This article describes the development of one such nation‐wide Practice Research Network (PRN) and provides some preliminary findings for each phase of the project. Use of the PRN model can help overcome the traditional “research to practice” gap and provide research results into community practice thus integrating outcomes measures into the daily practice of mental health professionals. During the early phases of this project, a software program was developed upon which the participating practitioners could identify the data elements within the parameters of the focus on their agreed‐upon research interests, enter data following client visits over time, and by comparing their own composite profiles and effectiveness with those of other participating practitioners who had clients presenting with similar diagnoses, could alter their own service delivery patterns, therapeutic interventions, or approaches while working with the clients and thereby improve the efficacy of their service. By participating, the practitioners benefited by access to downloadable and printable reports on profiles of 1) their specific clients, 2) their service delivery patterns, and 3) the outcomes or efficacy by their clients’ direct feedback. They were also able to compare these results with the composite data from other practitioners. 相似文献