Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article. Only 10% of the articles in our survey followed the checklist.

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Understanding Interaction Models: Improving Empirical Analyses

Click on the arrow button to move the variable name into Chapter 4 Creating a data file and entering data 39 Step 2: Enter the data Spss survival. The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.In this thoroughly revised edition of her. Download PDF SPSS Survival Manual A step by step guide to data analysis using SPSS. SPSS SURVIVAL MANUAL. Are you come upon Spss Survival Manual? Great! We have the file you need: spss survival manual. The spss survival manual. To cite this article: Yeung, Polly. SPSS survival manual. A step by step guide to data analysis using IBM SPSS (5th ed) (Book Review) (online). Aotearoa New.

SPSS Survival Manual

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

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Quantitative Applications in the Social Sciences

Studies that combine moderation and mediation are prevalent in basic and applied psychology research. Typically, these studies are framed in terms of moderated mediation or mediated moderation, both of which involve similar analytical approaches. Unfortunately, these approaches have important shortcomings that conceal the nature of the moderated and the mediated effects under investigation. This article presents a general analytical framework for combining moderation and mediation that integrates moderated regression analysis and path analysis. This framework clarifies how moderator variables influence the paths that constitute the direct, indirect, and total effects of mediated models. The authors empirically illustrate this framework and give step-by-step instructions for estimation and interpretation. They summarize the advantages of their framework over current approaches, explain how it subsumes moderated mediation and mediated moderation, and describe how it can accommodate additional moderator and mediator variables, curvilinear relationships, and structural equation models with latent variables.

/pdf/methods-for-integrating-moderation-and-mediation-a-general-wkrj7j4uxq.pdf

Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis.

We construct dynamic measures of the ideology of a state's citizens and political leaders, using the roll call voting scores of state congressional delegations, the outcomes of congressional elections, the partisan division of state legislatures, the party of the governor, and various assumptions regarding voters and state political elites. We establish the utility of our indicators for 1960-93 by (i) examining and, whenever possible, testing the assumptions on which they are based, (ii) assessing their reliability, (iii) assessing their convergent validity by correlating them with other ideology indicators, and (iv) appraising their construct validity by analyzing their predictive power within multivariate models from some of the best recent research in the state politics field. Strongly supportive results from each battery of tests indicate the validity of our annual, state-level measures of citizen and government ideology. Substantively, our measures reveal more temporal variation in state citizen ideology than is generally recognized.

Measuring Citizen and Government Ideology in the American States, 1960-93

Two types of explanations of state government innovation have been proposed: internal determinants models (which posit that the factors causing a state government to innovate are political, economic, and social characteristics of a state) and regional diffusion models (which point toward the role of policy adoptions by neighboring states in prompting a state to adopt). We show that the two are conceptually compatible, relying on Mohr's theory of organizational innovation. Then we develop and test a unified explanation of state lottery adoptions reflecting both internal and regional influences. The empirical results provide a great degree of support for Mohr's theory. For the empirical analysis, we rely on event history analysis, a form of pooled cross-sectional time series analysis, which we believe may be useful in a wide variety of subfields of political science. Event history analysis may be able to explain important forms of political behavior (by individuals, organizations, or governments) even if they occur only rarely.

https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0003055400192561

State Lottery Adoptions as Policy Innovations: An Event History Analysis

Multiple regression analysis is one of the social sciences most popular procedures. This monograph provides a systematic treatment of many of the major problems encountered in using regression analysis. Because it is likely that 1 or more of the regression models assumptions will be violated in a specific empirical analysis the ability to recognize problems and take appropriate action helps to ensure the proper use of the technic. The author clearly and concisely discusses the consequences of violating the assumptions of the regression model procedures for figuring out when violations exist and strategies for dealing with problems when they occur. Problems of specification error measurement error multicollinearity nonlinearity and nonadditivity and heteroscedasticity and autocorrelation are discussed with many examples from political science sociology and economics. Because many applications of regression in the social sciences involve analysis of causes randomly drawn from a larger population some of the major examples are constructed to show more clearly the properties of regression estimates derived from samples. The concepts of bias and efficiency in statistical estimation receive particular attention.

Multiple regression in practice

This chapter reviews the dominant theories of government innovation in the public policy literature It shows that these theories borrow heavily from others developed to explain innovative behavior by individuals: teachers using a new method of instruction, farmers adopting hybrid seeds and fertilizers, and consumers purchasing new products The chapter explores that theories of government innovation share many commonalities with models that seek to explain organizational innovation It deals with separate discussions of the central features of internal determinants and diffusion explanations for the adoption of a policy The chapter explains three models that dominated early scholarship on policy innovation such as the national interaction model, the regional diffusion model and the leader-laggard model It presents a model of American state lottery adoptions reflecting the simultaneous effects of both internal determinants and policy diffusion on state adoption behavior and employed event history analysis to test their model

Innovation and Diffusion Models in Policy Research

Introduction A Formal Presentation of the Regression Assumptions A 'Weighty' Illustration The Consequences of the Regression Assumptions Being Satisfied The Substantive Meaning of Regression Assumptions Conclusion

William D. Berry

Papers

Measuring Citizen and Government Ideology in the American States, 1960-93

State Lottery Adoptions as Policy Innovations: An Event History Analysis

Multiple regression in practice

Innovation and Diffusion Models in Policy Research

Understanding regression assumptions