Analytic Framework for Landmark Location Uncertainty

2007 ◽  
pp. 45-56
Keyword(s):  
Analytic Framework ◽  
Location Uncertainty ◽  
Landmark Location

Two-Condition Within-Participant Statistical Mediation Analysis: A Path-Analytic Framework

2019 ◽  
Author(s):  
Amanda Kay Montoya ◽  
Andrew F. Hayes
Keyword(s):  
Confidence Intervals ◽  
Indirect Effect ◽  
Mediation Analysis ◽  
Analytic Approach ◽  
Analytic Framework ◽  
Hypothesis Tests ◽  
Bootstrap Confidence Intervals ◽  
Complex Models ◽  
Path Analytic ◽  
Statistical Mediation Analysis

Researchers interested in testing mediation often use designs where participants are measured on a dependent variable Y and a mediator M in both of two different circumstances. The dominant approach to assessing mediation in such a design, proposed by Judd, Kenny, and McClelland (2001), relies on a series of hypothesis tests about components of the mediation model and is not based on an estimate of or formal inference about the indirect effect. In this paper we recast Judd et al.’s approach in the path-analytic framework that is now commonly used in between-participant mediation analysis. By so doing, it is apparent how to estimate the indirect effect of a within-participant manipulation on some outcome through a mediator as the product of paths of influence. This path analytic approach eliminates the need for discrete hypothesis tests about components of the model to support a claim of mediation, as Judd et al’s method requires, because it relies only on an inference about the product of paths— the indirect effect. We generalize methods of inference for the indirect effect widely used in between-participant designs to this within-participant version of mediation analysis, including bootstrap confidence intervals and Monte Carlo confidence intervals. Using this path analytic approach, we extend the method to models with multiple mediators operating in parallel and serially and discuss the comparison of indirect effects in these more complex models. We offer macros and code for SPSS, SAS, and Mplus that conduct these analyses.

scholarly journals Pressure Function and Limit Theorems for Almost Anosov Flows

2021 ◽  
Vol 382 (1) ◽  
pp. 1-47
Author(s):  
Henk Bruin ◽  
Dalia Terhesiu ◽  
Mike Todd
Keyword(s):  
Thermodynamic Properties ◽  
Central Limit ◽  
Limit Theorems ◽  
Central Limit Theorems ◽  
Stable Laws ◽  
Analytic Framework ◽  
Pressure Function ◽  
Hyperbolic Flows ◽  
Anosov Flows ◽  
Almost Anosov

AbstractWe obtain limit theorems (Stable Laws and Central Limit Theorems, both standard and non-standard) and thermodynamic properties for a class of non-uniformly hyperbolic flows: almost Anosov flows, constructed here. The link between the pressure function and limit theorems is studied in an abstract functional analytic framework, which may be applicable to other classes of non-uniformly hyperbolic flows.

scholarly journals The Premium of Public Perceived Greenery: A Framework Using Multiscale GWR and Deep Learning

2021 ◽  
Vol 18 (13) ◽  
pp. 6809
Author(s):  
Yonglin Zhang ◽  
Xiao Fu ◽  
Chencan Lv ◽  
Shanlin Li
Keyword(s):  
Deep Learning ◽  
Green Spaces ◽  
Development Pattern ◽  
Real Estate Development ◽  
Hedonic Price ◽  
Price Model ◽  
Analytic Framework ◽  
Neighborhood Scale ◽  
Analytical Tools ◽  
Neighborhood Level

Population agglomeration and real estate development encroach on public green spaces, threatening human settlement equity and perceptual experience. Perceived greenery is a vital interface for residents to interact with the urban eco-environment. Nevertheless, the economic premiums and spatial scale of such greenery have not been fully studied because a comprehensive quantitative framework is difficult to obtain. Here, taking advantage of big geodata and deep learning to quantify public perceived greenery, we integrate a multiscale GWR (MGWR) and a hedonic price model (HPM) and propose an analytic framework to explore the premium of perceived greenery and its spatial pattern at the neighborhood scale. Our empirical study in Beijing demonstrated that (1) MGWR-based HPM can lead to good performance and increase understanding of the spatial premium effect of perceived greenery; (2) for every 1% increase in neighborhood-level perceived greenery, economic premiums increase by 4.1% (115,862 RMB) on average; and (3) the premium of perceived greenery is spatially imbalanced and linearly decreases with location, which is caused by Beijing’s monocentric development pattern. Our framework provides analytical tools for measuring and mapping the capitalization of perceived greenery. Furthermore, the empirical results can provide positive implications for establishing equitable housing policies and livable neighborhoods.

scholarly journals Still a long journey to decentralize geopolitics

2021 ◽  
pp. 204382062110177
Author(s):  
Ning An ◽  
Jo Sharp ◽  
Ian Shaw
Keyword(s):  
Everyday Life ◽  
State Level ◽  
The State ◽  
Theory And Practice ◽  
Analytic Framework ◽  
Confucian Culture

In this brief response paper, we respond to the insightful commentaries that critically engage with our original article in this forum. First, we discuss whether Confucian culture is fundamental to Chinese geopolitics, emphasizing how and why culture is part of a wider epistemic resource. We also note that our model is not normative, but an analytic framework for understanding complex non-western situations. Second, we discuss the geographies and scales of our model, noting a core tension between geopolitics at the state level and in everyday life. Third, we address the ‘gap’ between theory and practice under our Confucian model, noting that there is often a strategic inclusion (or exclusion) of Confucianism in practice. We finish by emphasizing that our paper is part a longer journey to further decentralize the western hold upon geopolitics.

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