Alternative Measures of American National Identity: Implications for the Civic‐Ethnic Distinction

Studies of national identity distinguish between ethnic and civic nations and have sought to identify these alternative conceptions of national identity in public opinion. The standard measurement technique is to assess the normative content of American national identity by asking survey respondents to rate the importance of particular traits for making someone a “true” American. We argue that such measures are problematic, chiefly because of the impact of nonrandom measurement error. We explore the influence of using ranking measures instead of ratings, using a survey experiment conducted on a nationally representative sample of Americans in 2008. The ranking method is superior for distinguishing between ethnic and civic conceptions of nationhood and, therefore, for predicting preferences on issues such as immigration policy. We develop a new statistical method that effectively “converts” ratings into scores that approximate rankings, resulting in the creation of more valid measures of both ethnic and civic national identities.     

Computer interactive heuristics to assess preference indefinition and resolve discrepancies between preference ratings and rankings

Ipsative and absolute assessment of preferences are contrasted, with particular reference to the different quantitative and qualitative information provided by each. Although it may not be possible to mathematically combine the respective qualitative information provided by rankings and ratings, when used in conjunction, they may offer a valuable consistency check of a respondent’s preference assessments. A set of heuristics, interactively implemented via computer, is proposed to (1) identify inconsistencies between preference rankings and ratings of the same set of items, and (2) attempt to resolve those inconsistencies. The number of iterations required to resolve inconsistencies might be used as an index of the respondent’s lack of preference definition.     

Small‐unit water purifiers for remote military outposts: A new application of multicriteria decision analysis

During the U.S. military's first 145 years, waterborne and other infectious diseases caused more casualties than battlefield injuries, underscoring the importance of clean drinking water to military success. Ensuring drinking water safety poses special challenges to the U.S. Army Special Operations Forces, because treatment equipment used in the conventional Army is too heavy and operationally complex to deploy to remote outposts. Due to the lack of purpose‐built water purifiers, Special Forces often rely on commercial‐off‐the‐shelf systems, but guidelines on selecting optimal systems for specific deployment contexts are lacking. To fill this gap, this research examines whether multicriteria decision analysis (MCDA) can provide an operational framework for selecting water purifiers for Special Forces. Our objectives are to apply MCDA to help an officer preparing for village stability operations in Afghanistan select a water purifier and to assess whether other Army stakeholders agree with the officer's choice. In addition, because previous research has suggested that alternative MCDA methods can yield different rankings of decision alternatives, we test whether the MCDA method used is as important as who conducts the ranking. Toward these objectives, we use 4 MCDA approaches for eliciting preferences among 4 water purifiers from the deploying officer and 6 other Army stakeholders. The results show that regardless of method, the officer and 5 of the 6 stakeholders identified the same preferred alternative, although rankings for the less preferred water purifiers varied by method (intermethod rank‐order correlation = .57). In responses to survey questions, stakeholders indicated that they would support using the results to support decisions about water purifier acquisition (average support = 5.3 on a 0–6 Likert scale with 6 indicating strongest support).     

Explaining the Weak Relationship Between Job Performance and Ratings of Job Performance

Ratings of job performance are widely viewed as poor measures of job performance. Three models of the performance–performance rating relationship offer very different explanations and solutions for this seemingly weak relationship. One-factor models suggest that measurement error is the main difference between performance and performance ratings and they offer a simple solution—that is, the correction for attenuation. Multifactor models suggest that the effects of job performance on performance ratings are often masked by a range of systematic nonperformance factors that also influence these ratings. These models suggest isolating and dampening the effects of these nonperformance factors. Mediated models suggest that intentional distortions are a key reason that ratings often fail to reflect ratee performance. These models suggest that raters must be given both the tools and the incentive to perform well as measurement instruments and that systematic efforts to remove the negative consequences of giving honest performance ratings are needed if we hope to use performance ratings as serious measures of job performance.     

A Thurstonian Analysis of Preference Change

This paper presents a Thurstonian model for the analysis of preference change. Preferences are expressed in the form of rankings, possibly with ties. A vector-autoregression framework is used to investigate relationships between past and current rankings. It is shown that this approach yields a parsimonious and easily interpretable representation of individual preference differences in time-dependent ranking data. A detailed analysis of the 1992 National Election Study illustrates the proposed approach.     

Is variability in mate choice similar for intelligence and personality traits? Testing a hypothesis about the evolutionary genetics of personality

This study tests the hypothesis presented by Penke, Denissen, and Miller (2007a) that condition-dependent traits, including intelligence, attractiveness, and health, are universally and uniformly preferred as characteristics in a mate relative to traits that are less indicative of condition, including personality traits. We analyzed between-culture mean standard deviations of preference ratings and rankings provided by nearly 10,000 people in 37 cultures for 18 characteristics in a potential mate. Contrary to the hypothesis, preferences for traits indicating agreeableness and conscientiousness were not more variable than preferences for intelligence, and preferences for traits indicating low neuroticism were more uniform than preferences for intelligence. Discussion addresses implications of these results for hypotheses about the evolutionary genetics of intelligence and personality.     

Clustering preference data in the presence of response-style bias

Preference data, such as Likert scale data, are often obtained in questionnaire-based surveys. Clustering respondents based on survey items is useful for discovering latent structures. However, cluster analysis of preference data may be affected by response styles, that is, a respondent's systematic response tendencies irrespective of the item content. For example, some respondents may tend to select ratings at the ends of the scale, which is called an ‘extreme response style’. A cluster of respondents with an extreme response style can be mistakenly identified as a content-based cluster. To address this problem, we propose a novel method of clustering respondents based on their indicated preferences for a set of items while correcting for response-style bias. We first introduce a new framework to detect, and correct for, response styles by generalizing the definition of response styles used in constrained dual scaling. We then simultaneously correct for response styles and perform a cluster analysis based on the corrected preference data. A simulation study shows that the proposed method yields better clustering accuracy than the existing methods do. We apply the method to empirical data from four different countries concerning social values.     

Differential predictability of preferences and choices

A combined multi-attribute utility and expectancy-value model has repeatedly been found to yield a worse fit to choices than to preference ratings. The present study investigated two possible explanations for this finding. First, people's belief-value structures may change in the choice task as they try to find the best alternative. Second, a difficult choice task may cause the decision maker to use simplifying heuristics. In the first of two experiments, subjective belief-value structures were measured on two occasions separated by about one week. Immediately before the second measurement, different groups of subjects performed a choice task, gave preference ratings, or performed a control task. The results did not support an interpretation of the greater difficulty of predicting choices in terms of changes in belief-value structures. However, the notion of simplifying heuristics received support by the finding that adopting simpler versions of the original model improved the predictions of the choices. In the second experiment, beliefs were measured immediately before or after each of a series of choices or preference ratings. The results indicated that although temporary changes in beliefs may occur, they can hardly provide a full account of the differential predictability of preferences and choices.     

The prediction of choice

This paper is concerned with a central concept in social measurement such as opinion polls, the measurement of attitudes, the prediction of political elections, the measurement of moral values, the measurement of consumer preferences, the measurement of utility, and the measurement of aesthetic values. The concept is that of the discriminal dispersion and its interesting effects in the prediction of choice.     

The transitivity of work values: Hierarchical preference ordering of socially desirable stimuli

This research investigated whether or not subjects could logically preference order work values. It is important to a hierarchical conception of work values that individuals exhibit transitivity in their expressed preferences, especially as all work values are considered to be highly socially desirable, and thus, importance ratings may lack variance between values. In Study 1, 97 subjects pair-compared eight values. In Study 2, 86 subjects pair-compared different behaviors that represented four work values. In both cases, subjects exhibited total transitivity in their choices more often than could be predicted by chance, and most intransitivities met at a minimum the criteria of weak Stochastic transitivity.     

Structural analysis of subjective categorical data

A general approach to the analysis of subjective categorical data is considered, in which agreement matrices of two or more raters are directly expressed in terms of error and agreement parameters. The method provides focused analyses of ratings from several raters for whom ratings have measurement error distributions that may induce bias in the evaluation of substantive questions of interest. Each rater's judgment process is modeled as a mixture of two components: an error variable that is unique for the rater in question as well as an agreement variable that operationalizes the true values of the units of observation. The statistical problems of identification, estimation, and testing of such measurement models are discussed.The general model is applied in several special cases. The most simple situation is that underlying Cohen's Kappa, where two raters place units into unordered categories. The model provides a generalization and systematization of the Kappa-idea to correct for agreement by chance. In applications with typical research designs, including a between-subjects design and a mixed within-subjects, between-subjects design, the model is shown to disentangle structural and measurement components of the observations, thereby controlling for possible confounding effects of systematic rater bias. Situations considered include the case of more than two raters as well as the case of ordered categories. The different analyses are illustrated by means of real data sets.The authors wish to thank Lawrence Hubert and Ivo Molenaar for helpful and detailed comments on a previous draft of this paper. Thanks are also due to Jens Möller und Bernd Strauß for the data from the 1992 Olympic Games. We thank the editor and three anonymous reviewers for valuable comments on an earlier draft.     

Personalizing politics: a congruency model of political preference

Modern politics become personalized as individual characteristics of voters and candidates assume greater importance in political discourse. Although personalities of candidates capture center stage and become the focus of voters' preferences, individual characteristics of voters, such as their traits and values, become decisive for political choice. The authors' findings reveal that people vote for candidates whose personality traits are in accordance with the ideology of their preferred political party. They also select politicians whose traits match their own traits. Moreover, voters' traits match their own values. The authors outline a congruency model of political preference that highlights the interacting congruencies among voters' self-reported traits and values, voters' perceptions of leaders' personalities, politicians' self-reported traits, and programs of favored political coalitions.     

Sexual identity development in the context of compulsory heterosexuality

This study analyzed the implications of sexual identity development for global, political, religious, and occupational identity development in 358 college students. Participants completed a written survey packet including the Extended Objective Measure of Ego Identity Status (EOM-EIS) and measures of sexual identity, physical/sexual preference, and emotional/affective preference. Data from the EOM-EIS suggest that having a sexual minority identity (lesbian, gay, bisexual, or "other" nonheterosexual identity) and reporting strong same-sex sexual or physical preferences are linked with more advanced global, political, religious, and occupational identity development. Heterosexual-identified participants were more likely to score high on identity foreclosure, moratorium, and diffusion, while sexual-minority-identified individuals scored higher on identity achievement. Individuals with strong same-sex physical/sexual preferences showed a pattern of results similar to those of sexual-minority-identified participants. Themes coded from a free-response question highlighted the finding that sexual-minority-identified participants more often viewed their sexual identity as salient and involving an effortful process. These individuals also stressed the importance of having support or modeling for their sexual identity.     

THE ROLE OF TASK AND CONTEXT IN PREFERENCE MEASUREMENT

Abstract— The present studies show that preferences change systematically depending on the global context and the measurement task Subjects evaluated apartments described by monthly rent and distance to campus using two different tasks (choices and attractiveness ratings) in two different global contexts (one with a narrow range of rents and a wide range of distances, and the other with a wide range of rents and a narrow range of distances) With the task held constant, preference orders for the same pair of apartments reversed in the two different contexts Similarly, with the context held constant, preference orders for the same pair of apartments reversed in the two tasks Taken together, the effects are startling Out of 25 apartments common to all four conditions, the preference rank of the apartment that was most expensive and closest to campus ranged from the 28th percentile to the 80th percentile We argue that, in the present experiments, the global context influences the scale values (or the perceptions of the attributes), and the task influences the weights (or the psychological importance) of the attributes.     

Evaluating the predictive validity of a single stimulus engagement preference assessment.

Most preference assessments require individuals to choose among two or more stimuli. More recently, the duration of engagement with items has been used as an index of preference. In the current study, the predictive validity of a single stimulus engagement (SSE) preference assessment was evaluated with 4 individuals. Stimuli were presented singly for a brief period while engagement with that stimulus was recorded. Although SSE preference rankings closely matched paired stimulus preference assessment rankings for only 2 of the 4 participants, relative preference rankings based on duration of engagement predicted relative reinforcer effectiveness for all participants in a subsequent concurrent‐schedule reinforcer assessment. The SSE procedure took less time to administer than the paired stimulus procedure but produced less stable preference rankings across administrations. The SSE procedure may be appropriate for individuals who have difficulty selecting one stimulus from among two or more stimuli, and it may be well suited for evaluating activities that are difficult to present in a paired stimulus format.     

The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems

Multicriteria decision‐making (MCDM) methods are concerned with the ranking of alternatives based on expert judgements made using a number of criteria. In the MCDM field, the distance‐based approach is one popular method for obtaining a final ranking. The technique for order preference by similarity to the ideal solution (TOPSIS) is a commonly used example of this kind of MCDM method. The TOPSIS ranks the alternatives with respect to their geometric distance from the positive and negative ideal solutions. Unfortunately, two reference points are often insufficient, especially for nonlinear problems. As a consequence of this situation, the final result ranking is prone to errors, including the rank reversals phenomenon. This study proposes a new distance‐based MCDM method: the characteristic objects method. In this approach, the preferences of each alternative are obtained on the basis of the distance from the nearest characteristic objects and their values. For this purpose, we have determined the domain and Fuzzy number set for all the considered criteria. The characteristic objects are obtained as the combination of the crisp values of all the Fuzzy numbers. The preference values of all the characteristic object are determined on the basis of the tournament method and the principle of indifference. Finally, the Fuzzy model is constructed and is used to calculate preference values of the alternatives, making it a multicriteria model that is free of rank reversal. The numerical example is used to illustrate the efficiency of the proposed method with respect to results from the TOPSIS method. The characteristic objects method results are more realistic than the TOPSIS results. Copyright © 2014 John Wiley & Sons, Ltd.     

Disagreement, Ambivalence, and Engagement: The Political Consequences of Heterogeneous Networks

Individuals with similar political orientations may find themselves in dissimilar social and political surroundings, with important consequences for the flow of political information among citizens. Analyses of data from the post-election survey of the 1900 National Election Study show that some individuals reside within extensive networks of political discussion and communication, whereas others are politically isolated. With respect to presidential candidate preference in 1900, some citizens in networks were surrounded by discussants who agreed with their preference, others by discussants who held ambiguous and undetermined preferences, and still others by discussants who held politically divergent preferences. These preference distributions have various implications for the formation of political opinion and for levels of political engagement and turnout.     

Political socialization: A multivariate analysis of Swedish political attitude and preference data

Studied the socio-political attitudes and political party preferences of 532 Swedish high school students as a function of seven background variables: (I) the mother's political party preference, (2) the father's political party preference, (3) the mother's education, (4) the father's education, (5) the mother's income, (6) the father's income and (7) social class identification. Multiple classification analysis and multivariate nominal analysis were used to uncover the most important possible determinants of political socialization of the youth in both bivariate and multivariate aspects. The results showed that, of the seven predictor or background variables studied, only three had any substantial relationship with socio-political attitudes and political party preferences of the youth: (a) the mother's political party preference, (b) class identification and (c) the father's political party preference in that general order of importance. Furthermore, the superiority of the mother's political party preference over the father's political party preference was especially marked for girls. Among other things, the results also disclosed that ‘left-wing’ youth tended to be more loyal to parental political beliefs than ‘moderate’ and ‘right-wing’ youth. Several alternative explanations were proposed for these findings.     

Voting by Eliminating Quantifiers

Mathematical theory of voting and social choice has attracted much attention. In the general setting one can view social choice as a method of aggregating individual, often conflicting preferences and making a choice that is the best compromise. How preferences are expressed and what is the “best compromise” varies and heavily depends on a particular situation. The method we propose in this paper depends on expressing individual preferences of voters and specifying properties of the resulting ranking by means of first-order formulas. Then, as a technical tool, we use methods of second-order quantifier elimination to analyze and compute results of voting. We show how to specify voting, how to compute resulting rankings and how to verify voting protocols.     

The influence of semantic fit on on-line sentence processing

The interactive influence of verb complement preferences and noun phrase semantic fit on resolution of temporary syntactic ambiguity was investigated in an eye movement experiment. The present semantic fit manipulation included noun phrases that fit well as direct objects of the verbs that they followed and noun phrases that were possible but less likely direct objects of the verbs in question. This contrasted with existing research on the use of verb complement preferences and semantic fit during sentence processing, in which processing of noun phrases that are possible direct objects has been compared with processing of noun phrases that are not possible direct objects of the verbs that they follow. Verb complement preference information and noun phrase semantic fit interacted at early stages of on-line sentence processing. Implications of these results for interactive and structural models of sentence processing are discussed.