SPECIFYING THEORIES IN COMPARATIVE POLITICS: TOWARD A MORE THOROUGHLY DEDUCTIVE APPROACH

2007 ◽  
Vol 03 (02) ◽  
pp. 165-189 ◽  
Author(s):  
JOHN N. MORDESON ◽  
TERRY D. CLARK ◽  
MARK J. WIERMAN ◽  
JENNIFER M. LARSON ◽  
ADAM D. GRIESER
Keyword(s):  
Regression Analysis ◽  
Political Science ◽  
Comparative Politics ◽  
Causal Factor ◽  
Relative Degree ◽  
Causal Factors ◽  
Expert Opinions ◽  
Degree Of Confidence ◽  
Independent Variable ◽  
Qualitative Literature

Models in political science are often poorly specified prior to testing. In practice, most analysts rely on regression analysis to determine the weights for each independent variable (causal factor) identified in the model. We demonstrate a method for determining the relative weights of causal factors prior to testing of the model. The approach makes use of expert opinions in the qualitative literature in order to construct a more completely specified model in a deductive manner prior to testing. We also demonstrate several methods for assessing the degree of confidence we might have in the model based on the relative degree of divergence among the experts concerning the causal factors.

AN INDUCTIVE APPROACH TO DETERMINING CAUSALITY IN COMPARATIVE POLITICS: A FUZZY SET ALTERNATIVE

2007 ◽  
Vol 03 (02) ◽  
pp. 191-202 ◽  
Author(s):  
JOHN N. MORDESON ◽  
TERRY D. CLARK ◽  
ADAM D. GRIESER ◽  
MARK J. WIERMAN
Keyword(s):  
Social Sciences ◽  
Regression Analysis ◽  
Fuzzy Sets ◽  
Political Science ◽  
Fuzzy Set ◽  
Comparative Politics ◽  
Jeffrey’S Rule ◽  
Priority Ranking ◽  
The Social ◽  
Inherent Ambiguity

Political science typically tests hypotheses by demonstrating correlations between variables. The most commonly employed method for doing so is regression analysis. The approach is essentially crisp, which carries with it a number of questionable assumptions about the data. Political phenomena such as democracy or stability often involve measuring the degree to which a particular observation demonstrates the qualities of the category. A fuzzy set approach better captures the inherent ambiguity in classifying our observations relative to such categories. However, the attempt to establish correlations between fuzzy sets in the social sciences has been plagued by the priority ranking issue. We illustrate the potential that Jeffrey's Rule has to overcome this difficulty.

PENGARUH MOTIVASI KERJA, KOMUNIKASI INTERPERSONAL DAN BUDAYA ORGANISASI TERHADAP KINERJA GURU (STUDI KASUS DI SMPN 5 PARIAMAN)

2020 ◽  
Author(s):  
Hasnah Mila
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Interpersonal Communication ◽  
Work Motivation ◽  
Employee Performance ◽  
High Reliability ◽  
Eligibility Criteria ◽  
Validity Test ◽  
Independent Variable ◽  
Performance Teachers

The independent independent variables in this study are Work Motivation, Interpersonal Communication and Organizational Culture while the dependent variable is the Performance Teachers and Employees SMPN 5 Pariaman. The sample used in this study as many as 32 respondents determined by using saturated samples. To know the influence of independent variable to dependent variable partially, used t test. While to know the effect of independent variable to dependent variable simultaneously, used F test. The assumption used in the validity test is if R-count> R-table item is declared valid. The R-arithmetic shown in the table above, from each item indicates that R-arithmetic> R-table so the item is declared valid. Based on the validity test of Work Motivation instrument, Interpersonal Communication and Organizational Culture on Teacher and Employee Performance, all items are declared valid and reliability test results indicate that the instrument has high reliability. This means that the eligibility criteria Instrument Motivation Work, Interpersonal Communication and Organizational Culture on Performance Teachers and Employees have met the criteria of good instrument requirements, namely valid and reliable. Regression analysis results obtained t count = 2.550 while t table = 2.042 so thitung> ttable and significance value is 0.000, this value is smaller than α = 0,05 so it can be said that motivation factor (X1) (Y) Regression analysis results obtained t count = 1.076 while the value of t table = 2.042 so that tcount < ttable or and its not significance value is 0.000, this value is smaller than α = 0,05, and proved variable of Interpersonal Communication (X2) (Y) Regression analysis results obtained t count = 1.715 while the value of t table = 2.042 so thitung< ttable and its not significance value is 0.000, this value is smaller than α = 0,05, and proved Organizational Culture variable (X3) The value of correlation coefficient (R) turns out that the correlation is positive. This means that there is a strong one-way relationship, where the change of increment that occurs in the free factor of Work Motivation, Personal Communication and Organizational Culture is accompanied by the change of the bound factor increase that is Teacher Performance (Y).

PENGARUH GAYA KEPEMIMPINAN, MOTIVASI KERJA DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PADA DINAS PEMBERDAYAAN MASYARAKAT DAN DESA PROVINSI SUMATERA BARAT

2020 ◽  
Author(s):  
Mafral
Keyword(s):  
Regression Analysis ◽  
Leadership Style ◽  
Work Motivation ◽  
Employee Performance ◽  
High Reliability ◽  
Test Results ◽  
Eligibility Criteria ◽  
Validity Test ◽  
Negative Effect ◽  
Independent Variable

The independent independent variables in this study as many as 89 respondents are determined by using saturated samples. To know the influence of independent variable to dependent variable partially, used t test. While to know the effect of independent variable to dependent variable simultaneously, used F test. The assumption used in the validity test is if R-count> R-table item is declared valid. The R-arithmetic shown in the table above, from each item indicates that R-arithmetic> R- table so the item is declared valid. Based on the validity test of the instrument of Leadership Style, Work Motivation, and Competence on Employee Performance, all items are declared valid and reliability test results indicate that the instrument has high reliability. This means that the eligibility criteria of the Instrument of Leadership Style, Work Motivation, Competency and Employee Performance have met the criteria of good instrument requirements, that is valid and reliable. The result of regression analysis of Leadership Style obtained by tcount = 20,91 while ttable value = 1,988 tcount> ttable proved variable of Leadership Style influence to Employee Performance. Work Motivation regression analysis obtained tcount = 17.62 while the value ttable = 1.988 tcount> ttabel proven Motivational Work variables influence on Employee Performance. Regression analysis Competence obtained value tcount = - 06.85 while ttable =1.988 so thitung> ttable and proven variable Competence have a negative effect on Employee Performance.

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.

scholarly journals A Model for Complex Subsidence Causality Interpretation Based on PS-InSAR Cross-Heading Orbits Analysis

2019 ◽  
Vol 11 (17) ◽  
pp. 2014 ◽  
Author(s):  
Bahaa Mohamadi ◽  
Timo Balz ◽  
Ali Younes
Keyword(s):  
Regression Analysis ◽  
Urban Areas ◽  
Rock Type ◽  
Linear Regression Analysis ◽  
City Center ◽  
Causal Factors ◽  
Final Model ◽  
Alexandria City ◽  
The City ◽  
Central South

Urban areas are subject to subsidence due to varying natural and anthropogenic causes. Often, subsidence is interpreted and correlated to a single causal factor; however, subsidence is usually more complex. In this study, we adopt a new model to distinguish different causes of subsidence in urban areas based on complexity. Ascending and descending Sentinel-1 data were analyzed using permanent scatterer interferometry (PS-InSAR) and decomposed to estimate vertical velocity. The estimated velocity is correlated to potential causes of subsidence, and modeled using different weights, to extract the model with the highest correlations among subsidence. The model was tested in Alexandria City, Egypt, based on three potential causes of subsidence: rock type, former lakes and lagoons dewatering (FLLD), and built-up load (BL). Results of experiments on the tested area reveal singular patterns of causal factors of subsidence distributed across the northeast, northwest, central south, and parts of the city center, reflecting the rock type of those areas. Dual causes of subsidence are found in the southwest and some parts of the southeast as a contribution of rock type and FLLD, whereas the most complex causes of subsidence are found in the southeast of the city, as the newly built-up areas interact with the rock type and FLLD to form a complex subsidence regime. Those areas also show the highest subsidence values among all other parts of the city. The accuracy of the final model was confirmed using linear regression analysis, with an R2 value of 0.88.

Discussion of Erik Martinez Kuhonta, Dan Slater, and Tuong Vu's Southeast Asia in Political Science: Theory, Region, and Qualitative Analysis

2010 ◽  
Vol 10 (2) ◽  
pp. 171-208
Author(s):  
Thomas B. Pepinsky ◽  
Barbara Geddes ◽  
Duncan McCargo ◽  
Richard Robison ◽  
Erik Martinez Kuhonta ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Social Science ◽  
Southeast Asia ◽  
Qualitative Analysis ◽  
Political Science ◽  
Comparative Politics ◽  
Sensitive Area ◽  
Theoretical Orientations ◽  
Social Science Knowledge ◽  
Science Theory

Comparative politics has witnessed periodic debates between proponents of contextually sensitive area studies research and others who view such work as unscientific, noncumulative, or of limited relevance for advancing broader social science knowledge. In Southeast Asia in Political Science: Theory, Region, and Qualitative Analysis, edited by Erik Martinez Kuhonta, Dan Slater, and Tuong Vu, a group of bright, young Southeast Asianists argue that contextually sensitive research in Southeast Asia using qualitative research methods has made fundamental and lasting contributions to comparative politics. They challenge other Southeast Asianists to assert proudly the contributions that their work has made and urge the rest of the comparative politics discipline to take these contributions seriously. This symposium includes four short critical reviews of Southeast Asia in Political Science by political scientists representing diverse scholarly traditions. The reviews address both the methodological and the theoretical orientations of the book and are followed by a response from the editors.

C. PENGARUH UTANG LUAR NEGERI DAN EKSPOR TERHADAP PERTUMBUHAN EKONOMI (Studi pada Produk Domestik Bruto Indonesia Periode 2015-2019)

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Farah Syahri Maulidiyah
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Foreign Debt ◽  
External Debt ◽  
Multiple Linear Regression Analysis ◽  
Analysis Method ◽  
Indonesian Government ◽  
Independent Variable

ABSTRACT The purpose of this research is to analyze the influence of exports and foreign debt which can affect Indonesia's GDP (Gross Domesty Product). The variables of this research are the foreign debt value of the Indonesian government and the value of Indonesian exports as the independent variable, and the value of Indonesia's GDP as the dependent variable. The data used are supporting data for the 2015-2019 period from the time series (time series) of Bank Indonesia and BPS. The data analysis method used multiple linear regression analysis. The results of this study are the value of the Indonesian government's foreign debt and the value of Indonesia's exports have a significant effect. Meanwhile, the results of the partial test (t-test) show that the value of foreign debt and exports of the Indonesian government greatly affects the value of Indonesia's GDP. Keywords : External Debt, Export, Economic Growth (Menggunakan template jurnal sinta 2 JESP (Jurnal Ekonomi dan Studi Pembangunan) eISSSN : 2502-7115 l pISSN : 2502-7115 Universitas Negeri Malang).

scholarly journals The Communication of Ideas across Subfields in Political Science

2014 ◽  
Vol 47 (02) ◽  
pp. 468-476 ◽  
Author(s):  
Erin R. Graham ◽  
Charles R. Shipan ◽  
Craig Volden
Keyword(s):  
Network Analysis ◽  
International Relations ◽  
Political Science ◽  
Comparative Politics ◽  
Diffusion Processes ◽  
Methodological Approach ◽  
Journal Articles ◽  
Insight Into ◽  
Shed Light ◽  
Levels Of Integration

ABSTRACTWhat factors inhibit or facilitate cross-subfield conversations in political science? This article draws on diffusion scholarship to gain insight into cross-subfield communication. Diffusion scholarship represents a case where such communication might be expected, given that similar diffusion processes are analyzed in American politics, comparative politics, and international relations. We identify nearly 800 journal articles published on diffusion within political science between 1958 and 2008. Using network analysis we investigate the degree to which three “common culprits”—terminology, methodological approach, and journal type—influence levels of integration. We find the highest levels of integration among scholars using similar terms to describe diffusion processes, sharing a methodological approach (especially in quantitative scholarship), and publishing in a common set of subfield journals. These findings shed light on when cross-subfield communication is likely to occur with ease and when barriers may prove prohibitive.

scholarly journals PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

2014 ◽  
Vol 3 (4) ◽  
pp. 130
Author(s):  
NI MADE METTA ASTARI ◽  
NI LUH PUTU SUCIPTAWATI ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Bootstrap Method ◽  
Least Square ◽  
Prediction Tool ◽  
Analysis Method ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

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