Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data

2020 ◽  
Author(s):  
Kaiji Chen
Keyword(s):  
Infrastructure Investment ◽  
Level Data

scholarly journals Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data

2020 ◽  
Author(s):  
Kaiji Chen ◽  
Haoyu Gao ◽  
Patrick Higgins ◽  
Daniel Waggoner ◽  
Tao Zha
Keyword(s):  
Infrastructure Investment ◽  
Level Data

scholarly journals Monetary Stimulus Amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data

2020 ◽  
Author(s):  
Kaiji Chen ◽  
Haoyu Gao ◽  
Patrick C. Higgins ◽  
Daniel F. Waggoner ◽  
Tao A. Zha
Keyword(s):  
Infrastructure Investment ◽  
Level Data

Examining Relationship between Infrastructure Investment and Performance Using State-Level Data

2019 ◽  
Vol 25 (4) ◽  
pp. 04019026
Author(s):  
SeyedAli Ghahari ◽  
Bortiokor Nii Tsui Alabi ◽  
Majed Alinizzi ◽  
Saeed Alqadhi ◽  
Sikai Chen ◽  
...  
Keyword(s):  
State Level ◽  
Infrastructure Investment ◽  
Level Data ◽  
And Performance

Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China&Apos;S Loan-Level Data

2020 ◽  
Author(s):  
Kaiji Chen ◽  
Haoyu Gao ◽  
Patrick C. Higgins ◽  
Daniel F. Waggoner ◽  
Tao A. Zha
Keyword(s):  
Infrastructure Investment ◽  
Level Data

New Evidence on the Construct Validity of the ASI-3 and the Dimensional Conceptualization of Trait Anxiety Sensitivity From IRT Modeling

2017 ◽  
Vol 33 (3) ◽  
pp. 181-189 ◽  
Author(s):  
Christoph J. Kemper ◽  
Michael Hock
Keyword(s):  
Construct Validity ◽  
Anxiety Sensitivity ◽  
Latent Class ◽  
Dimensional Structure ◽  
Sensitivity Index ◽  
Response Scale ◽  
Established Risk Factor ◽  
Irt Models ◽  
Level Data ◽  
Extreme Response

Abstract. Anxiety Sensitivity (AS) denotes the tendency to fear anxiety-related sensations. Trait AS is an established risk factor for anxiety pathology. The Anxiety Sensitivity Index-3 (ASI-3) is a widely used measure of AS and its three most robust dimensions with well-established construct validity. At present, the dimensional conceptualization of AS, and thus, the construct validity of the ASI-3 is challenged. A latent class structure with two distinct and qualitatively different forms, an adaptive form (normative AS) and a maladaptive form (AS taxon, predisposing for anxiety pathology) was postulated. Item Response Theory (IRT) models were applied to item-level data of the ASI-3 in an attempt to replicate previous findings in a large nonclinical sample (N = 2,603) and to examine possible interpretations for the latent discontinuity observed. Two latent classes with a pattern of distinct responses to ASI-3 items were found. However, classes were indicative of participant’s differential use of the response scale (midpoint and extreme response style) rather than differing in AS content (adaptive and maladaptive AS forms). A dimensional structure of AS and the construct validity of the ASI-3 was supported.

Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back
Keyword(s):  
Multilevel Model ◽  
Multilevel Models ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Scale Model ◽  
Suggested Approach ◽  
Psychological Study ◽  
Level Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

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