484 research outputs found

    A hierarchical Bayes error correction model to explain dynamic effects

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    For promotional planning and market segmentation it is important to understand the short-run and long-run effects of the marketing mix on category and brand sales. In this paper we put forward a sales response model to explain the differences in short-run and long-run effects of promotions on sales. The model consists of a vector autoregression rewritten in error-correction format which allows us to disentangle the long-run effects from the short-run effects. In a second level of the model, we correlate the short-run and long-run elasticities with various brand-specific and category-specific characteristics. The model is applied to weekly sales of 100 different brands in 25 product categories. Our empirical results allow us to make generalizing statements on the dynamic effects of promotions in a statistically coherent way.vector autoregression;sales;hierarchical Bayes;short and long run effects

    Modeling and Estimation of Synchronization in Multistate Markov-Switching Models

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    This paper develops a Markov-Switching vector autoregressive model that allows for imperfect synchronization of cyclical regimes in multiple variables, due to phase shifts of a single common cycle. The model has three key features: (i) the amount of phase shift can be different across regimes (as well as across variables), (ii) it allows the cycle to consist of any number of regimes J is larger than or equal to 2, and (iii) it allows for regime-dependent volatilities and correlations. In an empirical application to monthly returns on size-based stock portfolios, a three-regime model with asymmetric phase shifts and regime-dependent heteroscedasticity is found to characterize the joint distribution of returns most adequately. While large- and small-cap portfolios switch contemporaneously into boom and crash regimes, the large-cap portfolio leads the small-cap portfolio for switches to a moderate regime by a month

    Evaluating the Construct Validity of the Norwegian Version of the Level of Personality Functioning Scale - Brief Form 2.0 in a Large Clinical Sample

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    The Level of Personality Functioning - Brief Form 2.0 (LPFS-BF 2.0) is a 12-item self-report questionnaire developed to gain a quick impression of the severity of personality pathology according to the DSM-5 Alternative Model for Personality Disorders (AMPD). The current study evaluated the construct validity and reliability of the Norwegian version of the LPFS-BF 2.0 in a large clinical sample (N = 1673). Dimensionality was examined using confirmatory factor analysis and bifactor analysis followed by an analysis of distinctiveness of the subscales using the proportional reduction in mean squared error (PRMSE), and the concurrent validity was examined using correlations with self-report questionnaires and clinical interviews assessing PDs according to section II of the DSM-5. Taking the findings of the dimensionality and concurrent validity results together, we found moderate to good support for the use of total scores for the Norwegian version of the LPFS-BF 2.0. We would advise against the use of subscale scores, since the subscales provided only a small amount of reliable unique variance.</p

    Inventory of assessment practices in people with profound intellectual and multiple disabilities in three European countries

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    BACKGROUND: Knowledge about the quality of assessment methods used in the support of people with profound intellectual and multiple disabilities (PIMD) is scarce. This study aimed to provide an overview of the assessment methods used in practice and to examine whether these instruments were studied for their psychometric properties for people with PIMD. METHOD: Professionals (N = 148) from three European countries completed a survey on assessment practices. We performed a literature search to find information about the psychometric properties of the instruments that were identified in the survey. RESULTS: Of the participants, 78.1% used assessments that were not developed for people with PIMD. Documentation on psychometric properties was found for 8 out of 116 instruments. CONCLUSIONS: Most of the instruments in use were not designed for people with PIMD, and information about their quality is lacking. Guidelines are needed regarding the use and development of assessment methods for people with PIMD

    Evaluating the Construct Validity of the Norwegian Version of the Level of Personality Functioning Scale - Brief Form 2.0 in a Large Clinical Sample

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    The Level of Personality Functioning - Brief Form 2.0 (LPFS-BF 2.0) is a 12-item self-report questionnaire developed to gain a quick impression of the severity of personality pathology according to the DSM-5 Alternative Model for Personality Disorders (AMPD). The current study evaluated the construct validity and reliability of the Norwegian version of the LPFS-BF 2.0 in a large clinical sample (N = 1673). Dimensionality was examined using confirmatory factor analysis and bifactor analysis followed by an analysis of distinctiveness of the subscales using the proportional reduction in mean squared error (PRMSE), and the concurrent validity was examined using correlations with self-report questionnaires and clinical interviews assessing PDs according to section II of the DSM-5. Taking the findings of the dimensionality and concurrent validity results together, we found moderate to good support for the use of total scores for the Norwegian version of the LPFS-BF 2.0. We would advise against the use of subscale scores, since the subscales provided only a small amount of reliable unique variance.</p

    A real-time plant discrimination system utilising discrete reflectance spectroscopy

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    An advanced, proof-of-concept real-time plant discrimination system is presented that employs two visible (red) laser diodes (635. nm, 685. nm) and one near-infrared (NIR) laser diode (785. nm). The lasers sequentially illuminate the target ground area and a linear sensor array measures the intensities of the reflected laser beams. The spectral reflectance measurements are then processed by an embedded microcontroller running a discrimination algorithm based on dual Normalised Difference Vegetation Indices (NDVI). Pre-determined plant spectral signatures are used to define unique regions-of-classification for use by the discrimination algorithm. Measured aggregated NDVI values that fall within a region-of-classification (RoC) representing an unwanted plant generate a spray control signal that activates an external spray module, thus allowing for a targeted spraying operation. Dynamic outdoor evaluation of the advanced, proof-of-concept real-time plant discrimination system, using three different plant species and control data determined under static laboratory conditions, shows that the system can perform green-from-green plant detection and accomplish practical discrimination for a vehicle speed of 3. km/h

    Evaluating the Construct Validity of the Norwegian Version of the Level of Personality Functioning Scale - Brief Form 2.0 in a Large Clinical Sample

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    The Level of Personality Functioning - Brief Form 2.0 (LPFS-BF 2.0) is a 12-item self-report questionnaire developed to gain a quick impression of the severity of personality pathology according to the DSM-5 Alternative Model for Personality Disorders (AMPD). The current study evaluated the construct validity and reliability of the Norwegian version of the LPFS-BF 2.0 in a large clinical sample (N = 1673). Dimensionality was examined using confirmatory factor analysis and bifactor analysis followed by an analysis of distinctiveness of the subscales using the proportional reduction in mean squared error (PRMSE), and the concurrent validity was examined using correlations with self-report questionnaires and clinical interviews assessing PDs according to section II of the DSM-5. Taking the findings of the dimensionality and concurrent validity results together, we found moderate to good support for the use of total scores for the Norwegian version of the LPFS-BF 2.0. We would advise against the use of subscale scores, since the subscales provided only a small amount of reliable unique variance.</p

    Evaluating the Construct Validity of the Norwegian Version of the Level of Personality Functioning Scale - Brief Form 2.0 in a Large Clinical Sample

    Get PDF
    The Level of Personality Functioning - Brief Form 2.0 (LPFS-BF 2.0) is a 12-item self-report questionnaire developed to gain a quick impression of the severity of personality pathology according to the DSM-5 Alternative Model for Personality Disorders (AMPD). The current study evaluated the construct validity and reliability of the Norwegian version of the LPFS-BF 2.0 in a large clinical sample (N = 1673). Dimensionality was examined using confirmatory factor analysis and bifactor analysis followed by an analysis of distinctiveness of the subscales using the proportional reduction in mean squared error (PRMSE), and the concurrent validity was examined using correlations with self-report questionnaires and clinical interviews assessing PDs according to section II of the DSM-5. Taking the findings of the dimensionality and concurrent validity results together, we found moderate to good support for the use of total scores for the Norwegian version of the LPFS-BF 2.0. We would advise against the use of subscale scores, since the subscales provided only a small amount of reliable unique variance.</p

    Evaluating the Construct Validity of the Norwegian Version of the Level of Personality Functioning Scale - Brief Form 2.0 in a Large Clinical Sample

    Get PDF
    The Level of Personality Functioning - Brief Form 2.0 (LPFS-BF 2.0) is a 12-item self-report questionnaire developed to gain a quick impression of the severity of personality pathology according to the DSM-5 Alternative Model for Personality Disorders (AMPD). The current study evaluated the construct validity and reliability of the Norwegian version of the LPFS-BF 2.0 in a large clinical sample (N = 1673). Dimensionality was examined using confirmatory factor analysis and bifactor analysis followed by an analysis of distinctiveness of the subscales using the proportional reduction in mean squared error (PRMSE), and the concurrent validity was examined using correlations with self-report questionnaires and clinical interviews assessing PDs according to section II of the DSM-5. Taking the findings of the dimensionality and concurrent validity results together, we found moderate to good support for the use of total scores for the Norwegian version of the LPFS-BF 2.0. We would advise against the use of subscale scores, since the subscales provided only a small amount of reliable unique variance.</p

    Visualizing Uncertainty to Promote Clinicians’ Understanding of Measurement Error

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    Measurement error is an inherent part of any test score. This uncertainty is generally communicated in ways that can be difficult to understand for clinical practitioners. In this empirical study, we evaluate the impact of several communication formats on the interpretation of measurement accuracy and its influence on the decision-making process in clinical practice. We provided 230 clinical practitioners with score reports in five formats: textual, error bar, violin plot, diamond plot, and quantile dot plot. We found that quantile dot plots significantly increased accuracy in the assessment of measurement uncertainty compared with other formats. However, a direct relation between visualization format and decision quality could not be found. Although traditional confidence intervals and error bars were favored by many participants due to their familiarity, responses revealed several misconceptions that make the suitability of these formats for communicating uncertainty questionable. Our results indicate that new visualization formats can successfully reduce errors in interpretation
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