Count data naturally arise in several areas of cognitive ability testing, such as processing speed, memory, verbal fluency, and divergent thinking. Contemporary count data item response theory models, however, are not flexible enough, especially to account for overand underdispersion at the same time. For example, the Rasch Poisson counts model (RPCM) assumes equidispersion (conditional mean and variance coincide) which is often violated in empirical data. This work introduces the Conway-Maxwell-Poisson counts model (CMPCM) that can handle underdispersion (variance lower than the mean), equidispersion, and overdispersion (variance larger than the mean) in general and specifically at the item level. A simulation study revealed satisfactory parameter recovery at moderate sample sizes and mostly unbiased standard errors for the proposed estimation approach. In addition, plausible empirical reliability estimates resulted, while those based on the RPCM were biased downwards (underdispersion) and biased upwards (overdispersion) when the simulation model deviated from equidispersion. Finally, verbal fluency data were analysed and the CMPCM with item-specific dispersion parameters fitted the data best. Dispersion parameter estimates indicated underdispersion for three out of four items. Overall, these findings indicate the feasibility and importance of the suggested flexible count data modelling approach.

As part of a larger clinical trial, this ecological momentary assessment (EMA) study pursued the main goal of demonstrating that the EMA method is sensitive to treatment effects of detached mindfulness and cognitive restructuring for obsessive-compulsive disorder (OCD). A second goal was to provide a descriptive analysis of OCD symptoms and influencing factors in participants' everyday lives. Thirty-nine participants were included in the final analyses. EMA sampling involved a smartphone and comprised 4 days with 10 random prompts per day both before (Pre-Treatment EMA) and after the completion of a 2-week clinical intervention of either detached mindfulness or cognitive restructuring (Post-Treatment EMA) that participants had been randomly allocated to.The EMA questionnaire included items on the frequency of obsessions, subjective burden due to obsessions, perceived current stress, emotions, and on the frequency of compulsions and other dysfunctional behaviors. Descriptive Pre-Treatment EMA results highlight the importance of compulsions and emotional states of tension/discomfort in OCD. Pre-Post comparisons showed a significant reduction of avoidance behavior, obsessions, and burden due to obsessions, with a nonsignificant trend also indicating a reduction of compulsions. There was no pre to post effect concerning emotions. This study adds to the existing research on OCD symptoms and offers further evidence in confirmation of established theoretical models of OCD. Also, our results can be taken as evidence for treatment sensitivity of the EMA method in OCD. Further research is needed to replicate, broaden, and generalize our results.

Ecological momentary assessment (EMA) has been shown to be a valid and sensitive measure of treatment effects in obsessive‐compulsive disorder (OCD). As part of a clinical trial, this EMA study deals with a comparison of two treatment conditions, that is, cognitive restructuring (CR) and detached mindfulness (DM). EMA data from n = 39 OCD patients were available from a randomized clinical trial on the effectiveness of CR and DM. Smartphone‐based EMA sampling spread over 4 days each before and after treatment, with 10 random prompts per day and a 2‐week intervention of either CR or DM. We tracked CR strategies (e.g., questioning an appraisal by re‐evaluating risk), DM strategies (e.g., allowing one's thoughts to come and go), and application of newly learned strategies during Post‐Treatment EMA. Although there was a trend towards DM strategies being applied more often during Pre‐Treatment EMA than CR strategies, we did not find differences during Post‐Treatment EMA between CR and DM regarding frequency or difficulty of application and experienced relief. As expected, we found a clear pre‐post increase for all CR and DM behaviours except for one DM item. However, we did not find a treatment‐specific increase of CR and DM behaviours; that is, both interventions equally well promoted a seemingly general treatment effect. Despite the ecological validity of EMA, however, social desirability effects cannot be ruled out, so that this conclusion must be handled cautiously. Further research is needed to replicate and generalize our results.

Abstract. This study introduces a newly developed public-domain multilingual automatic item generator that creates propositional reasoning (PR) items belonging to 15 item families by using various inference rules. Psychometric properties of the resulting written PR test were investigated in three diverse samples in English, simplified Chinese, and German, respectively. Internal consistency was good to excellent across samples. The ICAR16 short form test of cognitive abilities ( Condon & Revelle, 2014 ) was used to evaluate construct validity. Correlations of ICAR16 scores and PR scores were high. Furthermore, items within families appeared to be equivalent, with only minor differential item functioning between the Chinese- and English-speaking samples. Performance on the PR test was shown to be reasonably stable over the course of 1 week. Differences of total scores between test forms (pen and paper vs. computerized administration) were not detected. Findings suggest that the automatically generated PR test is a valuable instrument for the assessment of propositional reasoning ability.