Model identification stime-series data is essential to valid ' statistical tests of interventIOneffects. Model identification is, at best, inexact iu the-todiat and, behavioral sciences'where onei.k often confnented with small: numbers of obstervations. These problems'gre discussed, iffid the resales of independent identifications of 130 social and behavioral time-series 111! by two judges'are presented. The majority (75 percent) of the series were represented by one of four *basic models: "white noise" independen.b.observations); first-order autoregressive; first-order moving averaged model in the first difference;-and "white noise " in the first difference. (AutAo4 4 ***************** * ************...
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and es...
Social scientists envy the objectivity, controlled experimentation and replicability of hard science...
Abstract: One of David Freedman’s important legacies was to raise awareness of the assumptions that ...
The Integrated Moving Average (IMA) model of time series, and the analysis of intervention effects b...
Results from single-case studies are being synthesized using three-level models in which repeated ob...
Dummy variable maximum likelihood (ML) estimation for binary response panel models struggles to esti...
This record contains the underlying research data for the publication "Estimating the reproducibilit...
Contains fulltext : 155639.pdf (publisher's version ) (Closed access)Reproducibili...
Empirical analyses in social science frequently confront quantitative data that are clustered or gro...
Scientific progress in experimental psychology depends on accumulating a body of reliable experiment...
Models designed for limited dependent variables are increasingly common in political science. Resea...
We measure how accurately replication of experimental results can be predicted by black-box statisti...
We measure how accurately replication of experimental results can be predicted by black-box statisti...
Survival analysis computes functions for occurrence or non-occurrence of an event over a time period...
The aim of this paper is to investigate the reproducibility of the paper "A Framework for Analyzing ...
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and es...
Social scientists envy the objectivity, controlled experimentation and replicability of hard science...
Abstract: One of David Freedman’s important legacies was to raise awareness of the assumptions that ...
The Integrated Moving Average (IMA) model of time series, and the analysis of intervention effects b...
Results from single-case studies are being synthesized using three-level models in which repeated ob...
Dummy variable maximum likelihood (ML) estimation for binary response panel models struggles to esti...
This record contains the underlying research data for the publication "Estimating the reproducibilit...
Contains fulltext : 155639.pdf (publisher's version ) (Closed access)Reproducibili...
Empirical analyses in social science frequently confront quantitative data that are clustered or gro...
Scientific progress in experimental psychology depends on accumulating a body of reliable experiment...
Models designed for limited dependent variables are increasingly common in political science. Resea...
We measure how accurately replication of experimental results can be predicted by black-box statisti...
We measure how accurately replication of experimental results can be predicted by black-box statisti...
Survival analysis computes functions for occurrence or non-occurrence of an event over a time period...
The aim of this paper is to investigate the reproducibility of the paper "A Framework for Analyzing ...
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and es...
Social scientists envy the objectivity, controlled experimentation and replicability of hard science...
Abstract: One of David Freedman’s important legacies was to raise awareness of the assumptions that ...