scholarly journals How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice

2018 ◽  
Vol 27 (2) ◽  
pp. 163-192 ◽  
Author(s):  
Jens Hainmueller ◽  
Jonathan Mummolo ◽  
Yiqing Xu
Keyword(s):  
Political Science ◽  
Interaction Effects ◽  
Linear Interaction ◽  
Multiplicative Interaction ◽  
Interaction Models ◽  
Conditional Effects ◽  
Common Support ◽  
Constant Rate ◽  
Independent Variable ◽  
The Relationship

Multiplicative interaction models are widely used in social science to examine whether the relationship between an outcome and an independent variable changes with a moderating variable. Current empirical practice tends to overlook two important problems. First, these models assume a linear interaction effect that changes at a constant rate with the moderator. Second, estimates of the conditional effects of the independent variable can be misleading if there is a lack of common support of the moderator. Replicating 46 interaction effects from 22 recent publications in five top political science journals, we find that these core assumptions often fail in practice, suggesting that a large portion of findings across all political science subfields based on interaction models are fragile and model dependent. We propose a checklist of simple diagnostics to assess the validity of these assumptions and offer flexible estimation strategies that allow for nonlinear interaction effects and safeguard against excessive extrapolation. These statistical routines are available in both R and STATA.

Understanding Interaction Models: Improving Empirical Analyses

2006 ◽  
Vol 14 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Thomas Brambor ◽  
William Roberts Clark ◽  
Matt Golder
Keyword(s):  
Political Science ◽  
Good Reason ◽  
Institutional Context ◽  
The Political ◽  
Science Literature ◽  
Multiplicative Interaction ◽  
Interaction Models ◽  
Political World ◽  
Context Models ◽  
The Relationship

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.

The influence of Herzberg’s motivator factor on employees’ organizational citizenship behaviour

2016 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Noorlaila Yunus ◽  
Cairul Azwa Azimi
Keyword(s):  
Organizational Citizenship ◽  
Significant Relationship ◽  
Civic Virtue ◽  
Negative Influence ◽  
Western Countries ◽  
Achievement Growth ◽  
Independent Variable ◽  
Research Questions ◽  
The Relationship

Organizational Citizenship Behaviour (OCB) has been widely studied across the boarders especially in the western countries. This workplace voluntary behaviour is associated with many predictors that may bring whether major, minor or negative influence towards the engagement of employees’ OCB. Basically, this study is focusing on motivation as the predictor or independent variable that influence employees’ engagement on the OCB (altruism, conscientiousness, courtesy, civic virtue and sportsmanship) behaviour. Herzberg’s motivator factor (achievement, advancement, recognition and growth) has been chosen as the independent variable. A total of 150 questionnaires were distributed conveniently to respondents. With 125 questionnaires returned, researcher was able to analyze the data based on the research questions and hypotheses developed. The findings showed moderate and weak, significant relationship between the variable excluding the relationship between independent variable and civic virtue and sportsmanship. Thus, Herzberg’s motivator factor was not a predictor to civic virtue and sportsmanship behaviour. However for the strongest predictor; achievement, growth and growth are strongly predicts the altruism, conscientiousness and courtesy behaviour respectively. However, with the absence of relationship between independent variable and civic virtue as well as sportsmanship, therefore the strongest predictor cannot be determined as the value recorded was below the criterion.

Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi
Keyword(s):  
Regression Analysis ◽  
Utility Function ◽  
Stated Preference ◽  
Technical Analysis ◽  
Chi Square ◽  
Time Headway ◽  
Independent Variable ◽  
The Relationship ◽  
Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

Two Theories of Effective Government

2017 ◽  
Author(s):  
Johannes Lindvall
Keyword(s):  
Political Science ◽  
Political Institutions ◽  
Public Policies ◽  
Methodological Approach ◽  
Decision Makers ◽  
Precise Definition ◽  
Policy Changes ◽  
Political Decision ◽  
Definition Of ◽  
The Relationship

This chapter introduces the problem of “reform capacity” (the ability of political decision-makers to adopt and implement policy changes that benefit society as a whole, by adjusting public policies to changing economic, social, and political circumstances). The chapter also reviews the long-standing discussion in political science about the relationship between political institutions and effective government. Furthermore, the chapter explains why the possibility of compensation matters greatly for the politics of reform; provides a precise definition of the concept of reform capacity; describes the book's general approach to this problem; and discusses the ethics of compensating losers from reform; and presents the book's methodological approach.

On the Relationship between Alonso's Theory of Movement and Wilson's Family of Spatial-Interaction Models

1981 ◽  
Vol 13 (2) ◽  
pp. 217-224 ◽  
Author(s):  
J Ledent
Keyword(s):  
Input Data ◽  
Spatial Interaction ◽  
System Of Equations ◽  
Interaction Models ◽  
Spatial Interaction Models ◽  
Standard Family ◽  
Original Contribution ◽  
Standard Models ◽  
The Relationship

This paper compares the system of equations underlying Alonso's theory of movement with that of Wilson's standard family of spatial-interaction models. It is shown that the Alonso model is equivalent to one of Wilson's four standard models depending on the assumption at the outset about which of the total outflows and/or inflows are known. This result turns out to supersede earlier findings—inconsistent only in appearance—which were derived independently by Wilson and Ledent. In addition to this, an original contribution of this paper—obtained as a byproduct of the process leading to the aforementioned result—is to provide an exact methodology permitting one to solve the Alonso model for each possible choice of the input data.

scholarly journals The Relationship between Reputation, Customer Satisfaction, Trust, and Loyalty

2014 ◽  
Vol 4 (3) ◽  
pp. 368 ◽  
Author(s):  
Roshana Gul
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Relationship ◽  
Positive Sign ◽  
Medical College ◽  
Independent Variable ◽  
Relationship Of ◽  
The Relationship ◽  
Self Administered Questionnaire

Though a lot of studies have been done to conclude customer loyalty as dependent variable but still there is a vast margin of researches to be conducted in future in different spheres of this construct. On the other hand the truth of the importance of customer loyalty as an enduring asset cannot be falsified. It is fundamental for organizations to build up long term and mutual beneficial associations with the customers. The purpose of this research paper is to show the inter relationship of reputation, customer satisfaction and trust on customer loyalty. According to the observations reputation is the major independent variable that has significant relationship with customer satisfaction, customer loyalty, and trust. Data for this research study was taken from the Islamia University, Quaid-e-Azam Medical College, and different banks located at various geographic locations of Bahawalpur region of Pakistan. Data was collected through self administered questionnaire and analyzed by using regression through SPSS. The results have been drawn from 150 users of NISHAT LINEN and it was found that there is positive and significant relationship among reputation, customer satisfaction, trust and customer loyalty. Hence the studies give the positive sign that with the increment of reputation, customer satisfaction and trust the customer loyalty enhances.  

The use of faecal nitrogen as an index for estimating the consumption of herbage by grazing animals

1963 ◽  
Vol 61 (1) ◽  
pp. 33-43 ◽  
Author(s):  
G. W. Arnold ◽  
M. L. Dudzinski
Keyword(s):  
Organic Matter ◽  
Nitrogen Concentration ◽  
Linear Equations ◽  
Slope Position ◽  
Seasonal Differences ◽  
Faecal Nitrogen ◽  
Independent Variable ◽  
Regression Relations ◽  
The Relationship ◽  
Better Than

Data from thirty-five digestibility trials with sheep in metabolism cages were used to investigate statistically the relationships between organic matter intake (I), faecal organic matter output (F), and the nitrogen concentration in faecal organic matter (N).The data fell easily into groups due to botanical or seasonal differences in the feed. These groups of data were homogeneous and provided highly significant linear equations of the forms I = bF + cFN and I = a + cFN. When compared these groups of data sometimes showed differences in slope, position or both. A quadratic expressionI = bF + cFN + dFN2was found to accommodate a majority of the data but to be less precise than I = a + cFN.A further expression incorporating N as an independent variable was also examined,I = a + cFN2 + eN.This expression, although far from being universally adequate, proved to be generally better than existing formulae. When applied to the data of Greenhalgh et. al. (1960), it substantially reduced heterogeneity between data for spring and data for summer pastures.Causes of variation in the relationship between organic-matter intake and nitrogen in faeces, and some of the hazards of extrapolation from empirical regression relations, are discussed.

scholarly journals Who Can I Trust in a Scary World? An Examination of the Objects of Trust, Information Sources and Social Distancing Intention amid COVID-19

2021 ◽  
Vol 18 (10) ◽  
pp. 5321
Author(s):  
Lu Wei ◽  
Tien-Tsung Lee
Keyword(s):  
Social Research ◽  
Moderating Effects ◽  
Health Crisis ◽  
Social Distancing ◽  
Public Health Crisis ◽  
Individual Outcomes ◽  
Information Exposure ◽  
Health Related ◽  
Independent Variable ◽  
The Relationship

Trust is a central construct of social research. While numerous studies have investigated trust as either a dependent or independent variable, little attention has been paid to its relationship with health-related behaviors in the context of a public health crisis. How trust in different entities influences people’s social distancing intention is therefore an important question that merits academic scrutiny. Moreover, the relationship between trust and social distancing intention cannot be well understood without an account of the information environment. As previous studies have reached a consensus about the limited effects of information exposure on individual outcomes, this research focuses on possible moderating effects. Results show that information exposure, no matter via interpersonal or media sources, has no direct effects on behavioral intention. Rather, risk communication serves as a moderator of the relationship between trust and social distancing intention.

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