Testing the Nonlinearity Assumption Underlying the Use of Reverse-Keyed Items: A Logical Response Perspective.

Researchers often assume a strong, linear relationship between regular- and reverse-keyed items, with responses on regular-keyed items (e.g., agree) perfectly mirroring those on reverse-keyed items (e.g., disagree). The current research challenges this received view and propounds a possible nonlinear relationship, partly due to the logical tendency of midlevel respondents to disagree with both types of items. In four examples (reported human height, job satisfaction, positive-negative affect, and self-esteem; total N = 50,544), a nonlinear model consistently explained additional item variance beyond a linear model. We further demonstrate that this relationship is moderated by item characteristics such as item extremity (job satisfaction) and item softening (self-esteem). Suboptimal modeling of the relationship may result in the apparent bidmensionality of a construct that characterizes regular- and reverse-keyed items as separate factors. User-friendly syntax for the examination of nonlinearity is provided to enhance the accessibility of the procedure.

Development and evolution of commitment profiles among military recruits: Implications for turnover intention and well-being.

We investigate the development and consequences of commitment profiles among Canadian Armed Forces (CAF) recruits who completed surveys at the end of basic training (N = 3998) and three (N = 636) and nine (N = 612) months later. The surveys included measures of affective, normative, and continuance commitment as well as measures developed by the CAF to assess recruits' experiences, career intentions, and well-being. Latent profile analyses of commitment at the end of basic training revealed four quantitatively distinct profiles (i.e., profiles differing in elevation but not shape). Strength of commitment related positively with perceived values fit, support from instructors and fellow recruits, and well-being, and negatively with turnover intention. Analyses of longitudinal data obtained following basic training revealed a stable and more differentiated 6-profile structure reflecting weak, exchange-based (continuance-dominant) and value-based (strong affective alone or in combination with strong normative and continuance) commitment. Value-based profiles were associated with greater perceived values fit, supervisor support, and well-being, and lower turnover intentions. The relative advantages of identifying the more nuanced commitment mind-sets reflected in commitment profiles is discussed along with the relevance of early onboarding experiences for the development of value-based commitment and retention.

Why Do People Agree With Both Regular and Reversed Items? A Logical Response Perspective.

The current research challenges the received view that misresponses to reversed items are the result of participants' irrational behavior. On the contrary, for participants at a midpoint level of a trait, it is perfectly logical to agree and disagree with seemingly equivalent statements (e.g., I'm not tall, but neither am I short). For this reason, regular and reversed items for a unidimensional construct were predicted to load on separate factors. Two types of reversed items-polar opposites and negated regular items-were also predicted to load on separate factors, as they are qualitatively different. An empirical study supported this explanation. Differential responding was found to be highest for participants at the mid-level of a trait and diminished toward the ends, revealing a quadratic relationship and a trait × method interaction. Thus, our findings demonstrate that the logical response pattern of individuals at the mid-level of a trait is another previously unrecognized explanation for why the inclusion of regular and reverse-keyed items can contribute to the apparent bi-dimensionality of unidimensional constructs (for data analysis results, see https://osf.io/krh2w/).

Establishing the structure and replicability of personality profiles using the HEXACO-PI-R.

Previous attempts to identify personality profiles in the five-factor and HEXACO models of personality have produced inconsistent results. Here, using data from four independent samples, each with approximately 90,000 international respondents to the 100-item HEXACO Personality Inventory-Revised (HEXACO-PI-R), we demonstrated that a five-profile solution fit the data well. Exploratory analyses suggested that this solution was also consistent across gender and age groups. The five-profile structure replicated well with larger subsamples, but could not be reproduced consistently with samples of fewer than 500 individuals. However, even with small samples, the five-profile structure could be applied using the parameters obtained with the larger samples. We used HEXACO theory along with agency-communion and attachment theories to offer preliminary explanations and labels for the five profiles. We discuss how these theories, combined with parameter estimates provided by our research, can be used to generate and test hypotheses to validate the five-profile structure and evaluate its utility for personality research and other applications.

Implications of Item Keying and Item Valence for the Investigation of Construct Dimensionality.

Factor analysis and nomological network analysis are commonly used as complementary procedures in the investigation of the dimensionality of constructs (e.g., self-esteem, job satisfaction). Although it has been demonstrated that factor analyses are often biased toward a two-dimensional solution for measures including regular- and reverse-keyed items, less attention has been paid to the implications for nomological network analyses. We propose, and demonstrate empirically in two studies, that item keying is confounded with item valence (i.e., favorability of item content), and that item valence can bias the results of both factor analysis and nomological network analysis toward a two-dimensional interpretation. We also demonstrate that the valence effect is related to, but distinguishable from, social desirability response bias. We caution that the practice of excluding reverse-keyed items to achieve unidimensionality can lead to distortion in correlations among constructs, and we offer alternative remedies to the valence problem.

Stroke rehabilitation in ontario: an opportunity for health care transformation.

In this article, Ontario's stroke rehabilitation system is used to exemplify the challenges faced by rehabilitation and healthcare systems across Canada who are attempting to provide quality care to patients in the face of increasing demands. Currently, Ontario's rehabilitation system struggles in its efforts to provide accessible and comprehensive care to patients recovering from stroke. We begin our exploration by identifying both the primary stakeholders and the underlying factors that have contributed to the current challenges. The framework put forward in the Canadian Medical Association's recommendations for transformation is then used to suggest a vision for a more patient-focused system incorporating three key principles: a broader perspective, a patient-first approach, and greater unity. The use of health information technology, proper incentives, and greater accountability are discussed as mechanisms to improve the quality and efficiency of care.

Two-dimensional affective space: a new approach to orienting the axes.

What are the constructs that underlie affective experiences? Some authors have suggested Valence and Activation, whereas others have suggested Positive Activation and Negative Activation-both approaches are represented by different axis orientations in traditional two-mode (People x Adjectives) factor analysis. The authors provide new evidence for this debate by using three-mode (People x Adjectives x Occasions) parallel factor (PARAFAC) analysis to determine the appropriate axes (and hence constructs) for representing affective experiences. Unlike traditional factor analysis, with PARAFAC different orientations of the axes fit the data differently so it is possible to determine the best fitting axes. In Study 1, the authors assessed the extent to which the PARAFAC procedure was able recover the axes defining a two-dimensional factor space under different conditions. In both Study 2 (N = 112) and Study 3 (N = 349), undergraduate students rated their emotional states on a variety of occasions. The best fitting axes for two-dimensional affective space were Valence and Activation in both studies. Exploration of higher dimensional solutions in Study 3 revealed a three-factor solution that, in addition to an activation factor, supported the separation of positive and negative emotions.

Commitment to organizational change: extension of a three-component model.

Three studies were conducted to test the application of a three-component model of workplace commitment (J. P. Meyer & N. J. Allen, 1991: J. P. Meyer & L. Herscovitch, 2001) in the context of employee commitment to organizational change. Study 1, conducted with 224 university students, provided preliminary evidence for the validity of newly developed Affective, Continuance, and Normative Commitment to Change Scales. Studies 2 and 3, conducted with hospital nurses (N = 157 and 108, respectively), provided further support for the validity of the three Commitment to Change Scales, and demonstrated that (a) commitment to a change is a better predictor of behavioral support for a change than is organizational commitment, (b) affective and normative commitment to a change are associated with higher levels of support than is continuance commitment, and (c) the components of commitment combine to predict behavior.