the cutpoints between the different levels of latent variable), and a rater-specific reliability parameter. It also estimates rater-specific thresholds (i.e. The model assumes that raters' are unbiased in their perception of the latent variable, but that each specific rating is erroneous. The team has developed a unique, Bayesian IRT-based measurement model aggregating experts' responses and generating country-level estimates. Since they are latent (concepts that are not observed directly), a team of methodologists (Pemstein, Marquardt, Wang, Tzelgov, Medzihorsky) has developed statistical tools that allow us to produce reasoned estimates of measurement error, largely solving the first of these issues. rate a given country-year on a variable on a 0-1/0-3/0-4/0-5 scale).
#ANNA TANNENBERG CODE#
The dataset now covers 180 countries from 1900 to 2019 and building on over 3,000 expert coders to code ˜200 variables measured at ordinal scales (i.e. Dealing with these issues is fundamental to the wider goals of the research project because the substantive conclusions drawn from the project will hinge on the trustworthiness of the underlying data. That is, assuring that the measures we provide capture theoretical concepts in identical ways across space and time.
The first task regarding item 1 above focused on developing statistical tools to assess measurement error in the raw coder-level data and to address issues of scale incompatibility in the subjective measures of regime characteristics. This new track and sub-project is being supported by supplementary grants from the Wallenberg Academy Fellowship program and Marcus and Marianne Walleberg foundation (PI: S. These questions extend beyond what we originally planned for in this project in several ways. so called "crowds") has generated new questions in need for additional research. At the same time, inquiries into possible biases associated with coder characteristics, coding conditions (time on task, availability of information, etc), as well as robustness and uniqueness of expert-coders compared to other sources of data (e.g. The aim of this project is to develop a refined and empirically validated scheme for 1) aggregating the 329 V-Dem indicators then using them 2) for aggregation of components, and components into 3) highly aggregated principles of democracy that can be used in various combinations to form full-fledged varieties of democracy. Project 1 – Conceptual and Empirical Structures They are organized by the program's three main projects (from the original proposal). The following section provides answers to the two questions below. This research program is an international team-based collaboration.
Being the first to use this unique database and by bringing together a research team consisting of leading democratization-scholars in the world, each with their unique set of expertise and area-competence, we aim to provide cutting-edge, systematic and theoretically revolutionizing examination of democratization. The V-Dem Database will contain data on these for all countries of the world, annually from 1900 to the present including pre-independence eras. V-Dem also breaks down each core principle index into its constituent components, about 50 of them measured separately. The Varieties of Democracy (V-Dem) Research Program sets out to provide the first comprehensive theory of democratization, that also accounts for the multiple core principles and values in the varieties of democracy: electoral, liberal, majoritarian, consensual, participatory, deliberative, and egalitarian democracy. Yet, there is little conclusive evidence about why some countries become and remain democratic and others do not. In the post-Cold War world, democracy has also become a central foreign policy objective.
The study of democracy and democratization lies at the center of political science and is increasingly important in economics, sociology, and history.
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