Effects of peripheral immune activation on social behavior and adrenocortical activity in aggressive mice: Genotype-environment interactions

To explore genetic-developmental differences in the biobehavioral effects of induced illness, males from two lines of mice selectively bred for high or low levels of aggressive behavior were injected with endotoxin (Escherichia coli, LPS: 0.25 mg/kg, 1.25 mg/kg, or 2.5 mg, i.p.) or saline. Body temperature, weight, and locomotor activity were monitored immediately before and 8 and 24 hr after injection. Twenty-four hours after injection, social behaviors were assessed in a 10-min dyadic test, and hypothalamus, spleen, and serum were collected. In both lines, endotoxin treatment increased behavioral immobility ("freezing") and decreased social exploration. Other effects showed line differences: Males from the high-aggressive line had a lower threshold to endotoxin-induced effects on body temperature, weight loss, spleen weight, and corticosterone. Social reactivity (startle response to mild social investigation) increased in the high-aggressive line and decreased in the low-aggressive line after treatment. In the high-aggressive line only, endotoxin decreased attack frequency and increased latency to attack. The interactions between selected line (genotype) and endotoxin treatment (environment) demonstrate that genetic-developmental differences in social and aggressive behavior may indicate the extent to which immune stimuli (e.g., bacteria, viruses, cytokines) function as "biobehavioral stressors." Aggr. Behav. 23:93–105, 1997.© 1997 Wiley-Liss, Inc.     

Optimal designs for the generalized partial credit model

Analysing ordinal data is becoming increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the most widely used ordinal model and has found application in many large-scale educational assessment studies such as PISA. In the present paper, optimal test designs are investigated for estimating persons’ abilities with the GPCM for calibrated tests when item parameters are known from previous studies. We find that local optimality may be achieved by assigning non-zero probability only to the first and last categories independently of a person's ability. That is, when using such a design, the GPCM reduces to the dichotomous two-parameter logistic (2PL) model. Since locally optimal designs require the true ability to be known, we consider alternative Bayesian design criteria using weight distributions over the ability parameter space. For symmetric weight distributions, we derive necessary conditions for the optimal one-point design of two response categories to be Bayes optimal. Furthermore, we discuss examples of common symmetric weight distributions and investigate under what circumstances the necessary conditions are also sufficient. Since the 2PL model is a special case of the GPCM, all of these results hold for the 2PL model as well.     

Using multidimensional item response theory to evaluate how response styles impact measurement

Multidimensional item response theory (MIRT) models for response style (e.g., Bolt, Lu, & Kim, 2014, Psychological Methods, 19, 528; Falk & Cai, 2016, Psychological Methods, 21, 328) provide flexibility in accommodating various response styles, but often present difficulty in isolating the effects of response style(s) from the intended substantive trait(s). In the presence of such measurement limitations, we consider several ways in which MIRT models are nevertheless useful in lending insight into how response styles may interfere with measurement for a given test instrument. Such a study can also inform whether alternative design considerations (e.g., anchoring vignettes, self-report items of heterogeneous content) that seek to control for response style effects may be helpful. We illustrate several aspects of an MIRT approach using real and simulated analyses.     

Rater Model Using Signal Detection Theory for Latent Differential Rater Functioning

Differential rater functioning (DRF) occurs when raters show evidence of exercising differential severity or leniency when scoring examinees within different subgroups. Previous studies of DRF have examined rater bias using manifest variables (e.g., use of covariates) to determine the subgroups. These manifest variables include gender and the ethnicity of the examinee. For example, a rater may score males more severely. Ideally, each rater’s severity should be invariant across subgroups. This study examines DRF in the context of latent subgroups that classify possible sources of DRF based on raters’ scoring behavior rather than manifest factors. An extension of the latent class signal detection theory (LC-SDT) model for identifying DRF is proposed and examined using real-world data and simulations. Results from real-world data show that the signal detection approach leads to an effective method to identify latent DRF. Simulations with varying sample sizes and conditions of rater precision were shown to recover parameters at an adequate level, supporting its use to identify latent DRF in large-scale data. These findings suggest that the DRF extension of the LC-SDT can be a useful model to examine characteristics of raters and add information that can aid rater training.     

Overcoming the “Holy Hush”: A Qualitative Examination of Protestant Christian Leaders’ Responses to Intimate Partner Violence

Described as a “holy hush,” past research has noted a general silence about and reluctance to address intimate partner violence (IPV) in religious congregations. To explore this, we interviewed 20 Protestant Christian religious leaders about how they understood and responded to IPV. Based on a thematic content analysis, our study revealed some of the challenges, tensions, and complexities that may be barriers to leaders speaking about and responding to IPV, and also the ways religious leaders in our sample attempted to overcome these challenges. For example, results revealed religious leaders understood violence on a gradation from less to more severe, and linked a need for and type of response to the level of violence. Throughout, religious leaders expressed a tension between their leadership role and responding to IPV. Furthermore, religious leaders acknowledged their need for greater training and connections to service providers, however, they reported not currently being connected to other IPV resources or organizations in the community. We discuss how the findings illuminate challenges and tensions for religious leaders in responding to IPV and how some leaders in this study were navigating these tensions to respond. We also discuss how findings may inform future research and the development of trainings and protocols for religious leaders and congregations on responding to IPV, promoting survivor safety, and fostering a greater understanding of IPV. Implications for collaboration with other community‐based IPV organizations are also discussed.     

Reducing faking on personality tests: Testing a new faking‐mitigation procedure in a U.S. job applicant sample

Faking has remained a major concern for organizations using self‐report personality measures for selection. Scholars recenlty developed a new middle‐warning faking‐mitigation procedure. The present replication study was the first field test in the United States using 193 applicants for an entry‐level position in a New York‐based consulting firm. Results replicated most of Fan et al.'s findings including (a) the middle‐warning significantly lowered fakers' personality scores over retesting, whereas the control message had little influence on nonfakers; (b) the above warning effect carried over to personality scales that were not retested; and (c) the persistent tendency of potential fakers rising to the top of personality score distribution was weakened. In addition, applicants' perceptions were not being negatively affected by the warning.     

Item response theory analyses of the Delis-Kaplan Executive Function System card sorting subtest

In the current study, we examined the dimensionality of the 16-item Card Sorting subtest of the Delis-Kaplan Executive Functioning System assessment in a sample of 264 native English-speaking children between the ages of 9 and 15 years. We also tested for measurement invariance for these items across age and gender groups using item response theory (IRT). Results of the exploratory factor analysis indicated that a two-factor model that distinguished between verbal and perceptual items provided the best fit to the data. Although the items demonstrated measurement invariance across age groups, measurement invariance was violated for gender groups, with two items demonstrating differential item functioning for males and females. Multigroup analysis using all 16 items indicated that the items were more effective for individuals whose IRT scale scores were relatively high. A single-group explanatory IRT model using 14 non-differential item functioning items showed that for perceptual ability, females scored higher than males and that scores increased with age for both males and females; for verbal ability, the observed increase in scores across age differed for males and females. The implications of these findings are discussed.     

A Systematic Review of Online Response Rates in Four Counseling Journals

This systematic review of articles published in 4 counseling journals found 207 articles that used online recruitment, of which 98 (47.3%) reported a response rate. These 98 studies collectively contained 22,466 individual participants. Results showed that nearly one third of all empirical articles used online recruitment, and the average response rate was 34.2% (SD = 22.6). Response rates are further described by journal, population, research methodology, and recruitment strategy. Researcher‐reported issues with online recruitment and data collection were also analyzed qualitatively, and recommendations for researchers are discussed.     

A replication of the response‐restriction preference assessment

We replicated the response‐restriction (RR) preference assessment and compared results in terms of preference hierarchies to those from free‐operant and multiple stimulus without replacement (MSWO) formats with six children with autism spectrum disorders (ASDs). We also assessed social validity of each format with teachers and clinicians who work with children with ASDs. Complete hierarchies were produced in four of 18 assessments and with MSWO and RR formats only. Results of the social validity assessment varied across raters, with each preference assessment format receiving the highest rating from at least one rater. Results are discussed in terms of practical recommendations and relative to the preference assessment literature as a whole.     

Support gaps in parent‐emerging adult dyads: The role of support quality

This study used a support gap approach to examine parental support to college‐going emerging adults. Based on data from 156 parent–child dyads, this study investigated whether discrepancies between the amounts of support that children received from parents and what they desired would be associated with both persons’ perceived support quality and individual and relational well‐being. Using polynomial regressions with response surface modeling, analyses demonstrated that, generally, support deficits (i.e., receiving less support than desired) were associated with poorer outcomes. However, support surpluses (i.e., receiving more support than desired) were not necessarily problematic, and children and parents exhibited different viewpoints regarding support surpluses. In addition, child‐reported support quality mediated several associations between support gaps and relationship satisfaction reported by both persons.