Confirmatory Factor Analyses of the Full and Short Versions of the Marlowe-Crowne Social Desirability Scale

Abstract

Over the years, researchers have developed various short versions of the Marlowe-Crowne Social Desirability Scale (D. P. Crowne & D. Marlowe, 1960). The authors used confirmatory factor analyses (J. L. Arbuckle, 1997) as well as item and scale analyses to evaluate the adequacy of the full version and various short versions. Overall, the results from 232 Canadian undergraduates showed (a) that all the short versions in the present study are a significant improvement in fit over the 33-item full scale and (b) that W. M. Reynolds's (1982) Forms A and B are the best fitting short versions. No gender differences were found for the full scale or any of the short versions. The results show that the full scale could be improved psychometrically and that the psychometrically sound short versions should be available because they require less administration time than the full scale.     

Perceived Disagreement and Heterogeneity in Social Networks: Distinct Effects on Political Participation

ABSTRACT

Although the coexistence of conflicting opinions in society is the very core of democracy, people’s tendency to avoid conflict could keep them away from political discussion and participation. On the other hand, being exposed to diverse political views could motivate citizens to participate. We conducted secondary analyses on two 2013 ITANES (Italian National Election Studies) probability samples in order to test the hypotheses that perceived network disagreement (between an individual and her/his discussion partners) and heterogeneity (among discussants holding different political opinions) exert independent and opposite effects on political participation through motivation and knowledge. Results converged in showing that disagreement dampened, while heterogeneity encouraged, political participation (voting, propensity to abstain in future, offline and online activism, and timing of vote decision) by decreasing or increasing, respectively, political interest and, in turn, knowledge.     

Development and Psychometric Evaluation of the Social Justice Scale (SJS)

The study describes the development of the Social Justice Scale (SJS). Practitioners, educators, students, and other members of the community differ on their attitudes and values regarding social justice. It is important to assess, not only individuals' attitudes and values around social values, but also other constructs that might be related to social justice behaviors. The implication of Ajzen in Organizational Behavior and Human Decision Processes 50:179-211, (1991) theory of planned behavior suggests that attitudes, perceived behavioral control, and social norms predict intentions, which then lead to behaviors. A scale was designed to measure social justice-related values, attitudes, perceived behavioral control, subjective norms, and intentions based on a four-factor conception of Ajzen's theory. Confirmatory factor analysis and analyses for reliability and validity were used to test the properties of the scale.     

Stress Overload: A New Approach to the Assessment of Stress

The link between stress and health has not received strong empirical support, possibly due to problems in the stress measures used. Here, the first wholly empirical development of a new “Stress Overload Scale” is described. A pool of 150 items was formed to reflect “overload”, a common denominator in stress theories. Then, the results of five sequenced studies, conducted in heterogeneous community samples, were used to pare the item pool. Exploratory (n = 431) and confirmatory (n = 433) analyses revealed two factors (Event Load and Personal Vulnerability) corresponding to theoretical constructs; only the best factor markers were submitted to further construct validity (n = 310) and reliability tests (n = 342). The 24 strongest items were selected for the SOS, which demonstrated criterion validity in predicting who (n = 285) would become sick following a common stressor. The SOS is (1) psychometrically strong, especially in its validity relative to popular measures; (2) appropriate to community research, due to its brevity and fit to a broad demographic spectrum; (3) unique in its ability to cross‐section individuals into risk categories. It should prove useful to community psychologists in determining etiology, diagnosing risk for pathology, and evaluating the efficacy of interventions.     

Problems with single interest scales: Implications of the general factor

The presence of the general factor in interest and self-efficacy assessment and its meaning are reviewed. The general factor is found in all interest and self-efficacy assessment and has been viewed as (a) a nuisance factor with little effect on assessment, (b) a variable having substantive meaning and thus worthy of including in interpretation, and (c) as systematic bias that distorts the interpretation of the meaning of assessments. The premise of this article is that each interpretation is correct but only depending upon the context of the assessment. The main implication is that narrow single content interest scales are very subject to contaminating effects of the general factor making interpretation very difficult. Methods of correcting this contamination are presented.     

Rudd's Apology to the Stolen Generations: Challenging Self‐Sufficient Arguments in “Race” Discourse

While the public debate on whether to apologise to the Stolen Generations ended on 13 February, 2008, public opinion was still divided, reflected particularly in the arguments against apologising that were common in political and public discourse. We examine the ways in which differing arguments can be flexibly deployed and combined within a political context to not just resist, but also to support, an act of reparation for historical injustice. In particular, we consider how Rudd makes use of specific rhetorically self‐sufficient arguments to justify offering the apology; precisely the same arguments that had previously been used by political leaders and members of the public to oppose the apology. It is the use of such arguments in combination with each other and additional common tropes drawn from egalitarian and liberal discourse that allow for the building of a rhetorically powerful case for offering the apology. Rather than the traditional focus of such research on the ways in which racism is accomplished in talk, we suggest that Rudd's apology to the Stolen Generations can be seen as a practical tool‐kit for building an “anti‐racist” rhetoric in the context of Indigenous and non‐Indigenous relations in Australia.     

Evaluating the Evidence for the General Factor of Personality across Multiple Inventories

A general factor of personality (GFP) has been proposed as the apex of a personality trait hierarchy that explains covariance among the lower-order factors measured by various personality inventories. In this study we evaluated the GFP hypothesis across several personality inventories, unlike most previous research in which the GFP has been derived from individual instruments in isolation. Exploratory analyses did not produce substantial evidence for the existence of a single cross-instrument higher-order factor of factors and efforts to specify a range of GFP-inspired models in a confirmatory framework led to significant estimation difficulties and poor fit to the data. Overall these results fail to support a common GFP that is positioned at the top of a personality trait hierarchy.     

Predicting counterproductive work behavior from the interaction of personality traits

Much attention has been given to enhancing the prediction of counterproductive work behavior (CWB), with a particular focus on the relationship between the five factor model of personality and CWB. Several scholars have advocated for a more complex view of this relationship, and rather than focusing simply on main effects, to examine the interaction of personality traits in predicting employee behavior. In consideration of the traits most strongly related to CWB, we examined the interaction between: (1) conscientiousness and emotional stability, (2) agreeableness and emotional stability, and (3) conscientiousness and agreeableness on CWB directed at individuals (CWB-I) and the organization (CWB-O). Results from a multi-national sample illustrate the interaction of traits increases the prediction of CWB over and above a single trait approach. The interactions suggest employees perform the least CWB when they are high on both traits (in the respective trait pairings), but low levels on either trait relate to increased CWB, and at levels comparable to individuals low on both traits. We conclude research on personality and CWB would benefit from an interactive approach as it allows for greater prediction of CWB-O and CWB-I, which is important in light of the organizational and interpersonal consequences of employee misbehavior.     

Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?

Presently, the collection and analysis of naturalistic data is the most credited method for understanding road user behavior and improving traffic safety. Such methodology was developed for motorized vehicles, such as cars and trucks, and is still largely applied to those vehicles. However, a reasonable question is whether bicycle safety can also benefit from the naturalistic methodology, once collection and analyses are properly ported from motorized vehicles to bicycles. This paper answers this question by showing that instrumented bicycles can also collect analogous naturalistic data. In addition, this paper shows how naturalistic cycling data from 16 bicyclists can be used to estimate risk while cycling. The results show that cycling near an intersection increased the risk of experiencing a critical event by four times, and by twelve times when the intersection presented some form of visual occlusion (e.g., buildings and hedges). Poor maintenance of the road increased the risk tenfold. Furthermore, the risk of experiencing a critical event was twice as large when at least one pedestrian or another bicyclist crossed the bicyclist’s trajectory. Finally, this study suggests the two most common scenarios for bicycle accidents, which result from different situations and thus require different countermeasures. The findings presented in this paper show that bicycle safety can benefit from the naturalistic methodology, which provides data able to guide development and evaluation of (intelligent) countermeasures to increase cycling safety.