Interpretation(s) of elasticity in operant demand

This brief report provides an account of varying interpretations of elasticity (η ) in the operant demand framework. General references to “demand elasticity” have existed since the Exponential model of operant demand was proposed by Hursh and Silberberg (2008). This term has been used interchangeably with Essential Value (EV), P_MAX, and the rate of change constant α . This report provides an in-depth account of η and the various ways in which this metric has been used to interpret fitted demand functions. A review of relevant mathematic terms, operations associated with differentiating parameters, and worked solutions for η are provided for linear and nonlinear demand functions. The relations between η and EV, P_MAX, and α are described and explained in terms of their mathematical bases and recommendations are provided regarding their individual interpretation. This report concludes with recommendations for providing additional mathematical detail in published works and emphasizing a consistent use of terms when describing aspects of operant demand.     

A crowdsourced nickel‐and‐dime approach to analog OBM research: A behavioral economic framework for understanding workforce attrition

Incentives are a popular method to achieve desired employee performance; however, research on optimal incentive magnitude is lacking. Behavioral economic demand curves model persistence of responding in the face of increasing cost and may be suitable to examine the reinforcing value of incentives on work performance. The present use‐inspired basic study integrated an experiential human operant task within a crowdsourcing platform to evaluate the applicability of behavioral economics for quantifying changes in workforce attrition. Participants included 88 Amazon Mechanical Turk Workers who earned either a $0.05 or $0.10 incentive for completing a progressively increasing response requirement. Analyses revealed statistically significant differences in breakpoint between the two groups. Additionally, a novel translation of the Kaplan‐Meier survival‐curve analyses for use within a demand curve framework allowed for examination of elasticity of workforce attrition. Results indicate greater inelastic attrition in the $0.05 group. We discuss the benefits of a behavioral economic approach to modeling employee behavior, how the metrics obtained from the elasticity of workforce attrition analyses (e.g., P _max) may be used to set goals for employee behavior while balancing organizational costs, and how economy type may have influenced observed outcomes.     

Between reasoning

In two experiments we investigated three-term reasoning with spatial relational assertions using the preposition between as compared to projective prepositions (such as to the left of). For each kind of assertion we distinguish the referent expression (i.e., the grammatical subject) from the relatum expression (i.e., the internal argument of the preposition; e.g., [The hedgehog]_{referent_expression} is to the left of [the frog]_{relatum_expression}; [the snake]_{referent_expression} is between [the donkey and the deer]_{relatum_expression}). Previous research has shown that integrating premises with projective prepositions is easier (a) when the relatum expression of the second premise denotes an element already given by the first premise (relatum = given), and (b) when the term denoting a given element precedes the term denoting a new element (given–new). Experiment 1 extended this finding to second premises with the preposition between. In Experiment 2, between figured in the first premise. In this case, participants built an initial preferred model already from the first premise, although such a premise is indeterminate with respect to the array that it describes. Since there is no need left for integrating the second premise, this premise is instead used to verify the initial model and to modify it when necessary. A further investigation of conclusion evaluation times showed that conclusions were evaluated faster when they first mentioned the element that was included most recently into the mental model of the premises. The use of premises with between permitted the separation of recency of model inclusion from recency of appearance of an element in a premise.     

INTERPRETING THE MEASUREMENT OF CHANGE IN ORGANIZATIONAL RESEARCH1

Numerous advances have been made in the last two decades in the measurement as well as in the conceptualization of change. Golembiewski, Billingsley, and Yeager (1976) conceptualized change as: (1) gamma change—subjects change their understanding of the variable being measured; (2) beta change—subjects recalibrate the measurement scale; and, (3) alpha change—change detected with a consistent measurement scale (i.e., no beta change) and for which gamma change has been ruled out. The present research examined these types of change by administering the Survey of Organizations questionnaire to a sample of military trainers at Time₁ (N₁, = 222) and Time₂ (N₂= 242) with no intervention. This design may be referred to as two premeasures of an abbreviated time series design. The results are discussed within the context of the alpha, beta, gamma change typology. After ruling out gamma change, the results revealed that alpha and beta change could be distinguished from each other and that beta change had been measured. The potential causes of the detected beta change (i.e., the rival hypotheses affecting internal validity) are analyzed. The implications of these results are discussed for the present research as well as for other empirical investigations of organizational change.     

“This Bird Can't Do It ‘Cause this Bird Doesn't Swim in Water”: Sibling Teaching During Naturalistic Home Observations in Early Childhood

Social-constructivist models of learning highlight that cognitive development is embedded within the context of social relationships characterized by closeness and intimacy (Vygotsky, 1978 Vygotsky, L. S. (1978). Mind and society: The development of higher mental processes. Cambridge, MA: Harvard University Press. [Google Scholar]). Therefore, in contrast to prior research employing semistructured paradigms, naturalistic sibling-directed teaching was examined during ongoing interactions at home. Thirty-nine middle-class, two-parent families (older sibling, M_age = 6;3; younger sibling, M_age = 4;4) were studied. Intentional sequences of sibling-directed teaching were coded for: a) frequency; b) type of knowledge taught (i.e., conceptual or procedural); c) initiation of teaching by the teacher or following a request by the learner; d) teaching strategies (e.g., direct instruction, demonstration); and e) learner responses (e.g., active involvement, rejection). Findings indicated that teachers were most likely to initiate teaching spontaneously rather than respond to direct requests by learners. Teachers were most likely to initiate teaching of procedural knowledge, while learners were most likely to request the teaching of conceptual knowledge. The type of teaching strategy employed depended on who initiated the teaching and the type of knowledge taught. The response of the learner was associated with who initiated the teaching and the teaching strategies employed. These findings reveal the nuances and sophistication of young children's attempts to teach one another naturally in their homes. Findings are discussed in light of recent empirical and theoretical work.     

Toward a Grounded Theory of the Psychosocial Competencies and Environmental Conditions Associated with Soccer Success

The purposes of this study were to identify and examine psychosocial competencies among elite male adolescent soccer players in order to present a grounded theory of factors associated with soccer success. Participants (N = 40) were 20 Canadian international youth soccer players (M age = 16.8 years), 14 English professional youth soccer players (M age = 16.2 years), and 6 English professional coaches. Using grounded theory methodology (Strauss & Corbin, 1998 Strauss, A. and Corbin, J. 1998. Basics of qualitative research: Techniques and procedures for developing grounded theory, Newbury Park, CA: Sage. (2nd ed.) [Google Scholar]), data analysis followed several coding procedures geared toward theory development. Four major psychosocial competencies that appear to be central to success in elite youth soccer emerged from the data. The competencies were labeled Discipline (i.e., conforming dedication to the sport and a willingness to sacrifice), Commitment (i.e., strong motives and career planning goals), Resilience (i.e., the ability to use coping strategies to overcome obstacles), and Social Support (i.e., the ability to use emotional, informational, and tangible support). These results are compared to existing sport talent development research and a grounded theory of the psychosocial competencies and environmental conditions associated with becoming a professional soccer player is presented. Research and practical implications arising from this exploratory theory are discussed.     

A two‐part mixed effects model for cigarette purchase task data

The Cigarette Purchase Task is a behavioral economic assessment tool designed to measure the relative reinforcing efficacy of cigarette smoking across different prices. An exponential demand equation has become a standard model for analyzing purchase task data, but its utility is compromised by its inability to accommodate values of zero consumption. We propose a two‐part mixed effects model that keeps the same exponential demand equation for modeling nonzero consumption values, while providing a logistic regression for the binary outcome of zero versus nonzero consumption. Therefore, the proposed model can accommodate zero consumption values and retain the features of the exponential demand equation at the same time. As a byproduct, the logistic regression component of the proposed model provides a new demand index, the “derived breakpoint”, for the price above which a subject is more likely to be abstinent than to be smoking. We apply the proposed model to data collected at baseline from college students (N = 1,217) enrolled in a randomized clinical trial utilizing financial incentives to motivate tobacco cessation. Monte Carlo simulations showed that the proposed model provides better fits than an existing model. We note that the proposed methodology is applicable to other purchase task data, for example, drugs of abuse.     

Cohen's d Corrected for Case IV Range Restriction: A More Accurate Procedure for Evaluating Subgroup Differences in Organizational Research

Organizational and staffing researchers are often interested in evaluating whether subgroup differences exist (e.g., between Caucasian and African‐American individuals) on predictors of job performance. To investigate subgroup differences, researchers often will collect data from current employees to make inferences about subgroup differences among job applicants. However, the magnitude of subgroup differences (i.e., Cohen's d) within incumbent samples may be different (i.e., smaller) than the magnitude of subgroup differences in applicant samples because selection of applicants typically reduces the variance of scores on the predictors (i.e., because lower scoring applicants are not selected). If researchers seek to generalize a d value in an incumbent sample to the applicant population, they may use Bobko, Roth, and Bobko's (correcting the effect size of d for range restriction and unreliability, 2001) Case II or III correction. By extension, Hunter, Schmidt, and Le (implications of direct and indirect range restriction for meta‐analysis methods and findings, 2006) have proposed a Case IV correction, which is more realistic than Bobko et al.'s approach. Therefore, this paper develops a Case IV correction for d (i.e., d_c4). The simulation results showed that the d_c4 was generally accurate across 6,000 simulation conditions. Moreover, 2 published datasets were reanalyzed to show the influence of the Case IV correction on d. In addition, implications and future directions of the d_c4 are discussed.     

Statistical regularities guide the spatial scale of attention

Visual scenes contain information on both a local scale (e.g., a tree) and a global scale (e.g., a forest). The question of whether the visual system prioritizes local or global elements has been debated for over a century. Given that visual scenes often contain distinct individual objects, here we examine how regularities between individual objects prioritize local or global processing. Participants viewed Navon-like figures consisting of small local objects making up a global object, and were asked to identify either the shape of the local objects or the shape of the global object, as fast and accurately as possible. Unbeknown to the participants, local regularities (i.e., triplets) or global regularities (i.e., quadruples) were embedded among the objects. We found that the identification of the local shape was faster when individual objects reliably co-occurred immediately next to each other as triplets (local regularities, Experiment 1). This result suggested that local regularities draw attention to the local scale. Moreover, the identification of the global shape was faster when objects co-occurred at the global scale as quadruples (global regularities, Experiment 2). This result suggested that global regularities draw attention to the global scale. No participant was explicitly aware of the regularities in the experiments. The results suggest that statistical regularities can determine whether attention is directed to the individual objects or to the entire scene. The findings provide evidence that regularities guide the spatial scale of attention in the absence of explicit awareness.     

Procura-PALavras (P-PAL): A Web-based interface for a new European Portuguese lexical database

In this article, we present Procura-PALavras (P-PAL), a Web-based interface for a new European Portuguese (EP) lexical database. Based on a contemporary printed corpus of over 227 million words, P-PAL provides a broad range of word attributes and statistics, including several measures of word frequency (e.g., raw counts, per-million word frequency, logarithmic Zipf scale), morpho-syntactic information (e.g., parts of speech [PoSs], grammatical gender and number, dominant PoS, and frequency and relative frequency of the dominant PoS), as well as several lexical and sublexical orthographic (e.g., number of letters; consonant–vowel orthographic structure; density and frequency of orthographic neighbors; orthographic Levenshtein distance; orthographic uniqueness point; orthographic syllabification; and trigram, bigram, and letter type and token frequencies), and phonological measures (e.g., pronunciation, number of phonemes, stress, density and frequency of phonological neighbors, transposed and phonographic neighbors, syllabification, and biphone and phone type and token frequencies) for ~53,000 lemmatized and ~208,000 nonlemmatized EP word forms. To obtain these metrics, researchers can choose between two word queries in the application: (i) analyze words previously selected for specific attributes and/or lexical and sublexical characteristics, or (ii) generate word lists that meet word requirements defined by the user in the menu of analyses. For the measures it provides and the flexibility it allows, P-PAL will be a key resource to support research in all cognitive areas that use EP verbal stimuli. P-PAL is freely available at http://p-pal.di.uminho.pt/tools.     

An asymmetric effect of relational integration on recognition memory

Two experiments assessed whether conceptual relations (e.g., contains: cookie jar) facilitate the retrieval of concepts (e.g., cookie and jar) from long-term memory. The CARIN model of nominal combination asserts that conceptual relations are represented with and selected from the modifier noun (cookie). Thus, the model predicts that relational integration will facilitate memory for modifiers but not for head nouns (jar). In Experiment 1, concepts were studied in pairs and were then tested individually. Recognition accuracy was higher for modifiers than for head nouns. In Experiment 2, the studied concepts (e.g., cookie jar) were tested in the context of a new pair that instantiated either the same relation (e.g., cookie plate) or a different relation (e.g., cookie crumb). Recognition was again better for modifiers than for head nouns, but only when the same conceptual relation was instantiated at both study and test. Thus, results indicate that conceptual relations (a) facilitate recognition memory, and (b) are associated more strongly with the modifier than with the head noun.     

The effect of type of behavior on behavior change caused by type of upcoming food substance

Previous research suggests that rats will decrease their consumption of a low-valued substance if a high-valued one will soon be available (anticipatory contrast), but will increase their rate of operant responding for a low-valued substance if a high-valued one will soon be available (positive induction). The present experiments tested whether rats would increase their operant rate of licking or lever pressing for 1% liquid-sucrose reinforcement when 32% sucrose reinforcement was upcoming in the same session. Results indicated that upcoming 32% sucrose increased rates of lever pressing for 1% sucrose, but did not produce similar increases in rates of licking. In fact, upcoming 32% sucrose significantly reduced lick rates in Experiment 2. The present results suggest that the different changes in behavior may be linked to the specific response that the subjects must engage in to obtain the reward (i.e., licking vs. lever pressing), and not to the function of the behavior (i.e., consummatory vs. operant) or to how frequently the substances are available (i.e., continuously vs. intermittently).     

Not all job demands are equal: Differentiating job hindrances and job challenges in the Job Demands–Resources model

This study aimed to integrate the differentiation between two types of job demands, as made in previous studies, in the Job–Demands Resources (JD-R) model. Specifically, this study aimed to examine empirically whether the differentiation between job hindrances and job challenges, next to the category of job resources, accounts for the unexpected positive relationships between particular types of job demands (e.g., workload) and employees' work engagement. Results of confirmatory factor analyses supported the differentiation between the three categories of job characteristics in two samples (N ₁ = 261 and N ₂ = 441). Further, structural equation modelling confirmed the hypotheses that job hindrances associate positively with exhaustion (i.e., the main component of burnout) and negatively with vigour (i.e., the main component of work engagement). Job resources displayed the reversed pattern of relations. Job challenges were positively related to vigour. Rather unexpectedly, they were unrelated to exhaustion. Based on these findings, we discuss the importance of the differentiation between different types of job demands in the JD-R model for both theory and practice.     

Conditional probability and pragmatic conditionals: Dissociating truth and effectiveness

Recent research (e.g., Evans & Over, 2004 Over, D. E., Manktelow, K. I. and Hadjichristidis, C. 2004. Conditions for the acceptance of deontic conditionals. Canadian Journal of Experimental Psychology, 58: 111–120.  [Google Scholar]) has provided support for the hypothesis that people evaluate the probability of conditional statements of the form if p then q as the conditional probability of q given p, P(q/p). The present paper extends this approach to pragmatic conditionals in the form of inducements (i.e., promises and threats) and advice (i.e., tips and warnings). In so doing, we demonstrate a distinction between the truth status of these conditionals and their effectiveness as speech acts. Specifically, while probability judgements of the truth of conditional inducements and advice are highly correlated with estimates of P(q/p), their perceived effectiveness in changing behaviour instead varies as a function of the conditional probability of q given not-p, P(q/～p). Finally, we show that the conditional probability approach can be extended to predicting inference rates on a conditional reasoning task.     

A Unified Nonparametric IRT Model for <Emphasis Type="Italic">d</Emphasis>-Dimensional Psychological Test Data (<Emphasis Type="Italic">d</Emphasis>-ISOP)

The (univariate) isotonic psychometric (ISOP) model (Scheiblechner, 1995) is a nonparametric IRT model for dichotomous and polytomous (rating scale) psychological test data. A weak subject independence axiom W1 postulates that the subjects are ordered in the same way except for ties (i.e., similarly or isotonically) by all items of a psychological test. A weak item independence axiom W2 postulates that the order of the items is similar for all subjects. Local independence (LI or W3) is assumed in all models. With these axioms, sample-free unidimensional ordinal measurements of items and subjects become feasible. A cancellation axiom (Co) gives, as a result, the additive isotonic psychometric (ADISOP) model and interval scales for subjects and items, and an independence axiom (W4) gives the completely additive isotonic psychometric (CADISOP) model with an interval scale for the response variable (Scheiblechner, 1999). The d-ISOP, d-ADISOP, and d-CADISOP models are generalizations to d-dimensional dependent variables (e.g., speed and accuracy of response). The author would like to thank an Associate Editor and two anonymous referees and also Professor H.H. Schulze for their very valuable suggestions and corrections.     

Big Five Personality Factors and Facets as Predictors of Openness to Diversity

Openness to diversity is a crucial component of cultural competence needed in the increasingly diversified modern society and a necessary condition for benefitting from diversity contacts and interventions (e.g., diversity training, cultural courses). Responding to the recent call for more research on personality and its relation to diversity outcomes, we examined the associations between Big Five personality (i.e., Openness to Experience, Agreeableness, Extraversion, Neuroticism, and Conscientiousness) higher order factors and lower order facets and universal-diverse orientation (i.e., open attitude of appreciating human universality and diversity; Miville et al., 1999 Miville, M. L., Gelso, C. J., Pannu, R., Liu, W., Touradji, P., &; Holloway, P. (1999). Appreciating similarities and valuing differences: The Miville-Guzman universality-diversity scale. Journal of Counseling Psychology, 46, 291–307.[Crossref], [Web of Science ®] , [Google Scholar]). In the Study 1 (N = 338) web survey on Big Five factors, Openness to Experience and Agreeableness were associated with universal-diverse orientation significantly. In the Study 2 (N = 176) paper survey on both Big Five factors and facets, Openness to Experience, low Neuroticism, and Conscientiousness, and various lower-order facets of all the Big Five personality were associated with universal-diverse orientation significantly. Practical implications were suggested on how personality facets could be incorporated into current diversity interventions to enhance their effectiveness of promoting openness to diversity.     

Self-prioritization and perceptual matching: The effects of temporal construal

Recent research has revealed that self-referential processing enhances perceptual judgments — the so-called self-prioritization effect. The extent and origin of this effect remains unknown, however. Noting the multifaceted nature of the self, here we hypothesized that temporal influences on self-construal (i.e., past/future-self continuity) may serve as an important determinant of stimulus prioritization. Specifically, as representations of the self increase in abstraction as a function of temporal distance (i.e., distance from now), self-prioritization may only emerge when stimuli are associated with the current self. The results of three experiments supported this prediction. Self-relevance only enhanced performance in a standard perceptual-matching task when stimuli (i.e., geometric shapes) were connected with the current self; representations of the self in the future (Expts. 1 & 2) and past (Expt. 3) failed to facilitate decision making. To identify the processes underlying task performance, data were interrogated using a hierarchical drift diffusion model (HDDM) approach. Results of these analyses revealed that self-prioritization was underpinned by a stimulus bias (i.e., rate of information uptake). Collectively, these findings elucidate when and how self-relevance influences decisional processing.     

Analytical Problems and Suggestions in the Analysis of Behavioral Economic Demand Curves

Behavioral economic demand curves (Hursh, Raslear, Shurtleff, Bauman, & Simmons, 1988) are innovative approaches to characterize the relationships between consumption of a substance and its price. In this article, we investigate common analytical issues in the use of behavioral economic demand curves, which can cause inconsistent interpretations of demand curves, and then we provide methodological suggestions to address those analytical issues.

We first demonstrate that log transformation with different added values for handling zeros changes model parameter estimates dramatically. Second, demand curves are often analyzed using an overparameterized model that results in an inefficient use of the available data and a lack of assessment of the variability among individuals.

To address these issues, we apply a nonlinear mixed effects model based on multivariate error structures that has not been used previously to analyze behavioral economic demand curves in the literature. We also propose analytical formulas for the relevant standard errors of derived values such as P _max, O _max, and elasticity. The proposed model stabilizes the derived values regardless of using different added increments and provides substantially smaller standard errors. We illustrate the data analysis procedure using data from a relative reinforcement efficacy study of simulated marijuana purchasing.     

Measuring adolescents’ beliefs in conspiracy theories: Development and validation of the Adolescent Conspiracy Beliefs Questionnaire (ACBQ)

Four studies (total n = 961) developed and validated the Adolescent Conspiracy Beliefs Questionnaire (ACBQ). Initial items were developed in collaboration with teachers. An exploratory factor analysis (Study 1, n = 208, aged 11–14) and a student focus group (N = 3, aged 11) enabled us to establish the factor structure of a 9-item scale. This was replicated via confirmatory factor analysis in Study 2 (N = 178, aged 11–17), and the scale displayed good convergent (i.e., relationship with paranoia and mistrust) and discriminant validity (i.e., no relationship with extraversion). Study 3a (N = 257) further tested convergent validity with a sample of 18-year-olds (i.e., relationship with adult-validated measures of conspiracy beliefs) and demonstrated strong test–retest reliability. Study 3b (N = 318) replicated these findings with a mixed-age adult sample. The ACBQ will allow researchers to explore the psychological antecedents and consequences of conspiracy thinking in young populations.