Assessment最新文献

The Self-Control Scale (SCS) is one of the most widely used measures in the clinical, personality, and social psychology fields. It is often treated as unidimensional, even though no research supports such a unidimensional factor structure. We tested the factor structure in an undergraduate sample as well as a community sample used for additional confirmatory analyses. Factors from the best-fitting confirmatory models were correlated with putatively related and distinct constructs to assess their (dis)similarities. Consistent with hypotheses, the best-fitting factor structure consisted of multiple, correlated factors; however, none of the factor solutions met pre-specified fit criteria. Several additional analyses were conducted beyond the preregistered analyses to find a reasonably fitting factor solution. Ultimately, study findings support a two-factor solution using the items of the Brief Self-Control Scale. Results are discussed for the full 36-item scale as well as the brief, 13-item scale. We conclude with lessons learned from a Registered Report focused on factor analysis.

The Multidimensional Assessment of Interoceptive Awareness (MAIA-2) is a leading assessment of interoception. We examined the factor structure and psychometric characteristics of the MAIA-2 and its associations with psychopathology in a sample of transgender and gender-diverse (TGD) adults. Participants (N = 301) were recruited via Prolific Academic. Regression analyses were conducted to examine the association between the MAIA-2 subscales, disordered eating, and self-injurious thoughts and behaviors. The eight-factor MAIA-2 demonstrated good model fit after removing Item 2. The MAIA-2 subscales were significantly positively associated with body appreciation and body satisfaction and negatively associated with depression, anxiety, and stress. The MAIA-2 subscales also demonstrated several significant associations with disordered eating. Only Body Trust was significantly negatively associated with participants' perceived likelihood of making a future suicide attempt. This study provided preliminary evidence that the MAIA-2 is an adequate measure of interception in TGD samples.

The use of parent-report screeners for early detection of autism is time- and cost-efficient in clinical settings but their utility may vary by respondent characteristics. This study aimed to examine the degree to which infants' age and sex impacted parental reports of early behavioral signs of autism captured by the First Years Inventory Version 3.1 (FYIv3.1). The current sample included 6,454 caregivers of infants aged 6 to 16 months recruited through the North Carolina vital records. Using moderated nonlinear factor analysis for each of the seven FYIv3.1, we identified differential item functioning in small to medium effect sizes across 18 out of 69 items, with the majority of biases associated with infants' age (e.g., object mouthing, walking, pretend, and imitation), while sex-related biases were minimal. This indicates that differential scoring algorithms by infants' age and more closely spaced monitoring may be needed for these constructs for more accurate identification of autism in infancy.

Ecological Momentary Assessment using smartphone technology (smart EMA) has grown substantially over the last decade. However, little is known about the factors associated with completion rates in populations who have a higher likelihood of cognitive impairment. A systematic review of Smart EMA studies in populations who have a higher likelihood of cognitive impairment was carried out (PROSPERO; ref no CRD42022375829). Smartphone EMA studies in neurological, neurodevelopmental and neurogenetic conditions were included. Six databases were searched, and bias was assessed using Egger's test. Completion rates and moderators were analyzed using meta-regression. Fifty-five cohorts were included with 18 cohorts reporting confirmed cognitive impairment. In the overall cohort, the completion rate was 74.4% and EMA protocol characteristics moderated completion rates. Participants with cognitive impairment had significantly lower completion rates compared with those without (p = .021). There were no significant moderators in the cognitive impairment group. Limitations included significant methodological issues in reporting of completion rates, sample characteristics, and associations with completion and dropout rates. These findings conclude that smart EMA is feasible for people with cognitive impairment. Future research should focus on the efficacy of using smart EMA within populations with cognitive impairment to develop an appropriate methodological evidence base.

This study psychometrically evaluated the Neurobehavioral Symptom Inventory (NSI) among women survivors of intimate partner violence (IPV) and compared symptoms between women with no brain injury history (n = 93) and women with IPV-related brain injury history (n = 112). Women completed the NSI and questionnaires on traumatic brain injury (TBI), hypoxic-ischemic brain injury (HI-BI), and lifetime IPV history. A four-factor NSI model, including affective, somatosensory, cognitive, and vestibular factors, had the best fit (comparative fit index = 0.970, root mean square error of approximation = 0.064), with strong reliability for the total score (ω = .93) and subscale scores (ω range = .72-.89). In group comparisons, women with IPV-related brain injuries reported greater total, affective, and cognitive symptom severity after adjusting for age and education; however, no group differences were observed after adjusting for IPV severity. When examining lifetime number of brain injuries, HI-BI count was independently predictive of total, cognitive, and vestibular symptom severity after adjusting for age, education, and IPV severity; whereas TBI count did not independently predict any NSI scores after adjusting for these covariates. The NSI had acceptable psychometric properties for measuring neurobehavioral symptoms among women survivors of IPV. The association between HI-BI count and cognitive and vestibular symptoms may indicate the importance of studying repetitive nonfatal strangulation as an injury mechanism in this population.

Although many fluid reasoning (Gf) tests have been developed, there is a lack of figural tests measuring its lower-order process factors simultaneously. The present article introduces the development of the Multidimensional Induction-Deduction Computerized Adaptive Test (MID-CAT) to measure two process factors of Gf. The MID-CAT is designed to provide an instrument that is flexible, efficient, and entirely free for non-commercial use. We created 530 items and administered them to a sample of N = 2,247. Items were fitted and calibrated using the Rasch model. The results indicate that the final item pool has a wide range of difficulties that could precisely measure a wide range of test-takers' abilities. A simulation study also indicates that MID-CAT provides greater measurement efficiency than separate-unidimensional CAT or fixed-item test. In the discussion, we provide perspectives on how the MID-CAT can be used for future research.

As previous studies have shown that personality disorder (PD) assessment in older adults is often hampered because assessment tools are tailored toward younger adults, establishing the age-neutrality of novel tools is crucial. This study primarily aimed to evaluate the age-neutrality of the Level of Personality Functioning Brief Form (LPFS-BF 2.0) and the Personality Inventory for DSM-5 Modified + (PID-5-BF+M), using a sample of 254 community-dwelling adults. The analysis of Differential Item Functioning (DIF) demonstrated the age-neutrality of both instruments, with only 8.3% of LPFS-BF 2.0 items and 5.6% of PID-5-BF+M items exhibiting DIF. Differential Test Functioning (DTF) analyses revealed large DTF for the LPFS-BF 2.0 total score, indicating that age-specific norms might be necessary for this score. In summary, this study supports the use of these instruments in both older and younger adults, enhancing the assessment of PDs across the life span.

Intensive longitudinal data (ILD) has been collected to capture the dynamic fluctuations of procrastination; however, researchers have typically measured daily procrastination by modifying trait measures (e.g., adding a time reference "today") without adequately testing their reliabilities. The main purpose of this study was to use an advanced approach, dynamic structural equation modeling, to assess the between- and within-person reliabilities of a widely used six-item measure of daily procrastination. A total of 252 participants completed retrospective measures of various types of trait procrastination and daily measures of procrastination over 34 consecutive days. The results showed that the entire scale for daily procrastination and five of its six items had high between- and within-person reliabilities, but one item had much lower reliabilities, suggesting that this item may be inappropriate in everyday contexts. Furthermore, we found moderate to strong associations between the latent trait factor of procrastination and trait measures of procrastination. In addition, we identified substantial between-person variation in person-specific reliabilities and explored its relevant factors. Overall, this study assessed the reliabilities of a daily measure of procrastination, which facilitated future studies to obtain more reliable and consistent results and to better estimate the reliability of ILD.

This study evaluated symptoms assessed in common measures of eating disorder pathology and tested overlap to evaluate the extent to which measures may be interchangeable. Six measures were included: Bulimia Test-Revised, Eating Attitudes Test-26, Eating Disorder Diagnostic Scale, Eating Disorder Examination Questionnaire, Eating Pathology Symptoms Inventory, and Questionnaire for Eating Disorder Diagnoses. Content overlap was quantitatively estimated using the Jaccard Index. Mean overlap was low (.195), likely due to the wide range of symptoms (87) assessed. The mean overlap of each measure with all others was .117 - .267, and the overlap among individual measures was .083 - .382. Implications of low overlap among measures include variable characterization of eating disorder phenotypes and the risk for lower generalizability of findings due to measurement variability.

Adults with attention-deficit/hyperactivity disorder (ADHD) experience impairing levels of inattention and/or hyperactivity-impulsivity, while individuals without ADHD experience these symptoms to a lesser extent. Yet, ADHD self-report scales so far hardly captured continuous distributions across the general population. In addition, they focused on weaknesses and ignored strengths. To address these shortcomings, we present here the Strengths and Weaknesses of ADHD and Normal-Behavior Scale Self-Report (SWAN-DE-SB). The normal distribution of the data collected and the scale's internal consistency, and factorial and convergent validity were assessed using data from a general population sample. Its clinical utility was evaluated by comparing scores from a clinical sample and a sample of individuals without ADHD and by calculating optimal cut-off values for specificity and sensitivity. The SWAN-DE-SB demonstrated normal distribution of the data collected, high internal consistency, and factorial and convergent validity. It reliably discriminated individuals with and without ADHD, with high specificity and sensitivity. It should therefore be considered a psychometrically convincing measure to assess strengths and weaknesses of ADHD symptoms and normal behavior in clinical and general population samples.