scholarly journals Quantum-classical hypothesis tests in macroscopic matter-wave interferometry

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Björn Schrinski ◽  
Stefan Nimmrichter ◽  
Klaus Hornberger
Keyword(s):  
Matter Wave ◽  
Hypothesis Tests ◽  
Classical Hypothesis

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.

The underlying structure of nonnested hypothesis tests

Biometrika ◽  
1986 ◽  
Vol 73 (2) ◽  
pp. 333-343 ◽  
Author(s):  
JOHN T. KENT
Keyword(s):  
Underlying Structure ◽  
Hypothesis Tests

scholarly journals Dynamics of matter-wave quantum emitters in a structured vacuum

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Michael Stewart ◽  
Joonhyuk Kwon ◽  
Alfonso Lanuza ◽  
Dominik Schneble
Keyword(s):  
Matter Wave ◽  
Quantum Emitters

scholarly journals Improved accuracy fullerene polarizability measurements in a long-baseline matter-wave interferometer

2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Yaakov Y. Fein ◽  
Philipp Geyer ◽  
Filip Kiałka ◽  
Stefan Gerlich ◽  
Markus Arndt
Keyword(s):  
Matter Wave ◽  
Long Baseline ◽  
Improved Accuracy
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