Applications of Item-Level RFID for Retail Services

2016 ◽  
pp. 1799-1812
Author(s):  
S. H. Choi ◽  
H. H. Cheung ◽  
B. Yang ◽  
Y. X. Yang
Keyword(s):  
Item Level ◽  
Retail Services

Item Bias Analysis of the Young Schema-Questionnaire for Psychopathology, Gender, and Educational Level

2011 ◽  
Vol 27 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Marleen M. Rijkeboer ◽  
Huub van den Bergh ◽  
Jan van den Bout
Keyword(s):  
Educational Level ◽  
Cross Validation ◽  
Item Bias ◽  
Response Patterns ◽  
Dutch Population ◽  
Bias Analysis ◽  
Young Schema Questionnaire ◽  
Item Functioning ◽  
Item Level ◽  
Schema Questionnaire

This study examines the construct validity of the Young Schema-Questionnaire at the item level in a Dutch population. Possible bias of items in relation to the presence or absence of psychopathology, gender, and educational level was analyzed, using a cross-validation design. None of the items of the YSQ exhibited differential item functioning (DIF) for gender, and only one item showed DIF for educational level. Furthermore, item bias analysis did not identify DIF for the presence or absence of psychopathology in as much as 195 of the 205 items comprising the YSQ. Ten items, however, spread over the questionnaire, were found to yield relatively inconsistent response patterns for patients and nonclinical participants.

The Vienna Risk-Taking Test - Traffic

2007 ◽  
Vol 28 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Andreas Hergovich ◽  
Martin E. Arendasy ◽  
Markus Sommer ◽  
Bettina Bognar
Keyword(s):  
Construct Validity ◽  
Personality Trait ◽  
Risk Taking ◽  
Personality Test ◽  
Educational Levels ◽  
Item Level ◽  
Degree Of Risk ◽  
And Gender ◽  
Homeostasis Theory

Abstract. The study reports results regarding the dimensionality and construct validity of a newly developed, objective, video-based personality test that assesses the willingness to take risks in traffic situations. On the basis of the theory of risk homeostasis developed by Wilde, different traffic situations with varying degrees of objective danger were filmed. During the test the respondents are asked to indicate at which point the action that is contingent on the described situation will become too dangerous to carry out. Latencies at the item level were recorded as a measure for the subjectively accepted degree of a person's willingness to take risks in the sense of the risk homeostasis theory by Wilde. In a study on 274 people with different educational levels and gender, the unidimensionality of the test as corresponding to the latency model by Scheiblechner was investigated. The results indicate that the Vienna Risk-Taking Test - Traffic assesses a unidimensional, latent personality trait that can be interpreted as subjectively accepted degree of risk (target risk value).

Recent Innovations at the Item Level for Better Assessment

2012 ◽  
Author(s):  
Alan D. Mead ◽  
Stephen T. Murphy ◽  
Denny Way
Keyword(s):  
Item Level

Using Item-level Analyses to Better Understand the Consequences of Partialing Procedures: An Example Using the Dark Triad

2019 ◽  
Author(s):  
Colin Vize ◽  
Katherine Collison ◽  
Donald Lynam ◽  
Josh Miller
Keyword(s):  
Psychological Research ◽  
Dark Triad ◽  
Small Samples ◽  
Residual Content ◽  
Fine Grained ◽  
Large N ◽  
Dirty Dozen ◽  
Item Level ◽  
Variable Content ◽  
Small N

Objective: Partialing procedures are frequently used in psychological research. The present study sought to further explore the consequences of partialing, focusing on the replicability of partialing-based results. Method: We used popular measures of the Dark Triad (DT; Machiavellianism, narcissism, and psychopathy) to explore the replicability of partialing procedures. We examined whether the residual content of popular DT scales are similar to the residual content of DT scales derived from separate samples based on relations with individual items from the IPIP-NEO-120, allowing for a fine-grained analysis of residual variable content. Results: Profiles were compared using three sample sizes (Small N=156-157, Moderate N = 313-314, Large N = 627-628) randomly drawn from a large MTurk sample (N = 1,255). There was low convergence among original/residual DT scales within samples. Additionally, results showed the content of residual Dirty Dozen scales was not similar across samples. Similar results were found for Short Dark Triad-Machiavellianism, but only in the moderate and small samples. Conclusion: The results indicate that there are important issues that arise when using partialing procedures, including replicability issues surrounding residual variables. Reasons for the observed results are discussed and further research examining the replicability of residual-based results is recommended.

scholarly journals Geographic Regional Variation in Patterns of Racial and Ethnic Disparities in Late-Life Depression

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 168-168
Author(s):  
Chirag Vyas ◽  
Charles Reynolds ◽  
David Mischoulon ◽  
Grace Chang ◽  
Olivia Okereke
Keyword(s):  
Native American ◽  
Ethnic Differences ◽  
Ethnic Disparities ◽  
Late Life ◽  
Geographic Region ◽  
Omega 3 ◽  
Late Life Depression ◽  
Item Level ◽  
Racial Ethnic ◽  
Hispanic White

Abstract There is evidence of racial/ethnic disparities in late-life depression (LLD) burden and treatment in the US. Geographic region may be a novel social determinant; yet, limited data exist regarding the interplay of geographic region with racial/ethnic differences in LLD severity, item-level symptom burden and treatment. We conducted a cross-sectional study among 25,503 men aged 50+ years and women aged 55+ years in VITAL-DEP (VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention), an ancillary study to the VITAL trial. Racial/ethnic groups included Non-Hispanic White, Black, Hispanic, Asian, and other groups (Native American/Alaskan Native and other/multiple/unspecified-race/ethnicity). We assessed depression status using: the Patient Health Questionnaire-8 (PHQ-8); self-reported clinician/physician diagnosis of depression; medication and/or counseling treatment for depression. In the full sample, Midwest region was significantly associated with 12% lower severity of LLD, compared to Northeast region (rate ratio (RR) (95% confidence interval (CI)): 0.88 (0.83-0.93)). However, racial/ethnic differences in LLD varied by region. For example, in the Midwest, Blacks and Hispanics had significantly higher depression severity compared to non-Hispanic Whites (RR (95% CI): for Black, 1.16 (1.02-1.31); for Hispanic, 2.03 (1.38-3.00)). Furthermore, in multivariable-adjusted logistic regression models, minority vs. non-Hispanic White adults had 2- to 3-fold significantly higher odds of several item-level symptoms across all regions, especially in the Midwest and Southwest. Finally, among those endorsing PHQ-8≥10, Blacks had 60-80% significantly lower odds of depression treatment, compared to non-Hispanic Whites, in all regions. In summary, we observed significant geographic variation in patterns of racial/ethnic disparities in LLD outcomes. This requires further longitudinal investigation.

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems

2021 ◽  
Vol 16 (2) ◽  
pp. 1-23
Author(s):  
Zhao Li ◽  
Junshuai Song ◽  
Zehong Hu ◽  
Zhen Wang ◽  
Jun Gao
Keyword(s):  
Optimization Problem ◽  
Initial Conditions ◽  
Global Scale ◽  
Global Constraints ◽  
Economic Losses ◽  
Second Order Cone ◽  
Ranking Systems ◽  
Item Level ◽  
Shopping Experience ◽  
Regulation Method

Impression regulation plays an important role in various online ranking systems, e.g. , e-commerce ranking systems always need to achieve local commercial demands on some pre-labeled target items like fresh item cultivation and fraudulent item counteracting while maximizing its global revenue. However, local impression regulation may cause “butterfly effects” on the global scale, e.g. , in e-commerce, the price preference fluctuation in initial conditions (overpriced or underpriced items) may create a significantly different outcome, thus affecting shopping experience and bringing economic losses to platforms. To prevent “butterfly effects”, some researchers define their regulation objectives with global constraints, by using contextual bandit at the page-level that requires all items on one page sharing the same regulation action, which fails to conduct impression regulation on individual items. To address this problem, in this article, we propose a personalized impression regulation method that can directly makes regulation decisions for each user-item pair. Specifically, we model the regulation problem as a C onstrained D ual-level B andit (CDB) problem, where the local regulation action and reward signals are at the item-level while the global effect constraint on the platform impression can be calculated at the page-level only. To handle the asynchronous signals, we first expand the page-level constraint to the item-level and then derive the policy updating as a second-order cone optimization problem. Our CDB approaches the optimal policy by iteratively solving the optimization problem. Experiments are performed on both offline and online datasets, and the results, theoretically and empirically, demonstrate CDB outperforms state-of-the-art algorithms.

The Development of Preliminary HiTOP Internalizing Spectrum Scales

Assessment ◽  
2021 ◽  
pp. 107319112110039
Author(s):  
David Watson ◽  
Miriam K. Forbes ◽  
Holly F. Levin-Aspenson ◽  
Camilo J. Ruggero ◽  
Yuliya Kotelnikova ◽  
...  
Keyword(s):  
Internalizing Symptoms ◽  
Self Report ◽  
General Factor ◽  
Item Pool ◽  
Factor Analyses ◽  
Item Level ◽  
Formal Definitions ◽  
Body Dysmorphia ◽  
Item Writing ◽  
Report Measure

As part of a broader project to create a comprehensive self-report measure for the Hierarchical Taxonomy of Psychopathology consortium, we developed preliminary scales to assess internalizing symptoms. The item pool was created in four steps: (a) clarifying the range of content to be assessed, (b) identifying target constructs to guide item writing, (c) developing formal definitions for each construct, and (d) writing multiple items for each construct. This yielded 430 items assessing 57 target constructs. Responses from a heterogeneous scale development sample ( N = 1,870) were subjected to item-level factor analyses based on polychoric correlations. This resulted in 39 scales representing a total of 213 items. The psychometric properties of these scales replicated well across the development sample and an independent validation sample ( N = 496 adults). Internal consistency analyses established that most scales assess relatively narrow forms of psychopathology. Structural analyses demonstrated the presence of a strong general factor. Additional analyses of the 35 nonsexual dysfunction scales revealed a replicable four-factor structure with dimensions we labeled Distress, Fear, Body Dysmorphia, and Mania. A final set of analyses established that the internalizing scales varied widely—and consistently—in the strength of their associations with neuroticism and extraversion.

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