"Failures to detect moderating effects with ordinary least squares-moderated multiple regression: Some reasons and a remedy": Correction to Morris et al.

1986 ◽  
Vol 100 (2) ◽  
pp. 156-156
Author(s):  
James H. Morris ◽  
J. Daniel Sherman ◽  
Edward R. Mansfield
Keyword(s):  
Least Squares ◽  
Multiple Regression ◽  
Ordinary Least Squares ◽  
Moderating Effects ◽  
Moderated Multiple Regression

The Analysis and Forecast of Housing Requirements: Tenure Switching in a Local Housing Market

1981 ◽  
Vol 13 (1) ◽  
pp. 57-64
Author(s):  
R K Wilkinson ◽  
I A Law
Keyword(s):  
Regression Analysis ◽  
Housing Market ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Local Authority ◽  
Ordinary Least Squares ◽  
Reduced Form ◽  
Annual Number ◽  
Demand Structure

Data collected by a local authority housing department are analysed in order to test a model forecasting the annual number of households moving out into owner occupation. The reduced form of the model is estimated by means of ordinary least squares multiple regression analysis, and the demand structure is estimated by means of two-stage least squares for comparison. Despite problems of autocorrelation the results are sensible and suggest that further work on these lines is likely to be worthwhile not least for a local authority involved in planning the housing requirements of a region.

scholarly journals Pengaruh Jam Baca Terhadap IPK Mahasiswa FEB UNPAD

2019 ◽  
Vol 13 (2) ◽  
pp. 15
Author(s):  
Siska Musdalifah ◽  
Estro Dariatno Sihaloho
Keyword(s):  
Regression Model ◽  
Least Squares ◽  
Multiple Regression ◽  
Ordinary Least Squares ◽  
Multiple Regression Model

Untuk mendapatkan jumlah IPK yang memuaskan, mahasiswa perlu melakukan berbagai usaha. Salah satu usaha yang dapat dilakukan ialah belajar, dalam proses belajar tersebut diperlukan minat baca. Penelitian ini bertujuan untuk menjelaskan pengaruh jam baca terhadap besarnya IPK yang diperoleh mahasiswa Fakultas Ekonomi dan Bisnis Universitas Padjajaran. Jam baca dalam penelitian ini merupakan pengasumsian dari seberapa besar minat baca yang dimiliki mahasiswa tersebut. Analisisnya menggunakan lama waktu yang dihabiskan untuk membaca, lama waktu kuliah dan partisipasi dalam organisasi sebagai variabel independen. Sampel penelitian ini adalah mahasiswa mahasiswi aktif di Fakultas Ekonomi dan Bisnis Universitas Padjajaran. Jenis data yang digunakan dalam penelitian ini adalah data kuantitatif dan bersumber dari data primer. Pengumpulan data dilakukan dengan menggunakan kuesioner yang disebarkan langsung ke 111 mahasiswa aktif. Analisis data menggunakan regresi linear berganda (Multiple Regression Model) dengan metode OLS (Ordinary Least Squares) menggunakan bantuan software Stata versi 15 for windows. Hasil pengujian menunjukan bahwa secara parsial, lama waktu yang dihabiskan untuk membaca, lama waktu kuliah dan partisipasi dalam organisasi berpengaruh secara signifikan terhadap IPK yang diperoleh mahasiswa Fakultas Ekonomi dan Bisnis Universitas Padjajaran. Sementara secara simultan, lama waktu yang dihabiskan untuk membaca, lama waktu kuliah dan partisipasi dalam organisasi berpengaruh juga secara signifikan terhadap IPK yang diperoleh mahasiswa Fakultas Ekonomi dan Bisnis Universitas Padjajaran.

Type II Error Problems in the Use of Moderated Multiple Regression for the Detection of Moderating Effects of Dichotomous Variables

1994 ◽  
Vol 20 (1) ◽  
pp. 167-178 ◽  
Author(s):  
Eugene F. Stone-Romero ◽  
George M. Alliger ◽  
Herman Aguinis
Keyword(s):  
Multiple Regression ◽  
Statistical Power ◽  
Total Sample ◽  
Moderating Effect ◽  
Interactive Effects ◽  
Moderating Effects ◽  
Moderator Variable ◽  
Moderated Multiple Regression ◽  
The Difference ◽  
Group Relationships

Monte Carlo simulation procedures were used to assess the power of moderated multiple regression ( MMR) to detect the effects of a dichotomous moderator variable under conditions of: ( 1) between- group differences in within-group relationships between two variables ( i.e., |ρ XY(1) -ρ XY(2) |= .20, .40, .60) ; ( 2) different combined sample sizes for the two groups ( N1 + N2 = NT = 30, 60, 90, 180, 300); and ( 3) differing proportions of cases ( P-i) in the two groups ( i.e., P 1 = .10, .30, .50). Results showed that, consistent with our a priori predictions, the power of MMR increased as: ( 1) total sample size ( NT) increased; ( 2) the difference between within-group correlation coefficients increased; and ( 3) the difference between the proportion of cases in each group decreased. Moreover, the simulation showed that these three variables had interactive effects on power. The major implication of our findings is that in cases where tests of moderating effects are conducted with MMR and the proportion of cases in each group differs greatly, inferences of no moderating effect may be erroneous: Such inferences may be the result of low statistical power rather than the absence of a moderating effect.

The Moderating Effects of Acquisition Premiums in Private Corporations: An Empirical Investigation of Relative S Corporation and C Corporation Valuations

2008 ◽  
Vol 22 (4) ◽  
pp. 415-424 ◽  
Author(s):  
James A. DiGabriele
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Empirical Investigation ◽  
Asset Sales ◽  
Moderating Effects ◽  
Moderated Multiple Regression ◽  
Independent Variables ◽  
Private Corporations

SYNOPSIS: This paper presents the results of a moderated multiple regression analysis to show that, all else held equal, a positive premium exists in the valuation of S corporations over C corporations from January 2000 to November 2006. The results of the regression show that the magnitude of the “S corporation premium” indeed depends on the level of interactions of several independent variables. In particular, the results of this study reveal that (1) the premium depends positively on net sales; (2) the premium is higher for the cases in which the transaction is done through asset sales (rather than stock sales); and (3) the premium is higher for the cases in which firms are bought by private buyers (rather than public buyers).

GENDER ANALYSIS OF ASSET DISTRIBUTION AND CHILDREN’S SCHOOLING AMONG RURAL HOUSEHOLDS IN OGUN STATE, NIGERIA

2020 ◽  
Vol 15 (2) ◽  
pp. 27-36
Author(s):  
E. O. OYEDEPO ◽  
C. A. AFOLAMI ◽  
C. A. AFOLAMI ◽  
A. E. OBAYELU
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Rural Households ◽  
Ordinary Least Squares ◽  
Asset Ownership ◽  
Distribution Of Wealth ◽  
Ogun State ◽  
Asset Distribution

There is growing evidence that the gender distribution of wealth matters especially considering the fact that asset ownership is related to wellbeing, women empowerment and poverty alleviation. Not much is known about the gender distribution of wealth in the rural areas in Ogun state, Nigeria. This study assessed gender and asset distribution in Ogun State, South-west Nigeria using cross-sectional data collected from a total of 260 households selected through a five stage sampling procedure. The data were analysed using descriptive statistics and ordinary least squares multiple regression analysis. The findings from the study shows that an average rural household in the sample was made up of six persons and households were predominantly headed by males (88%). The mean worth of households’ physical assets was ₦1,402,791.00, about 15% of which was owned by women. The ordinary least squares multiple regression analysis revealed that women’s share of assets had a positive influence (P<0.05) on the number of years of formal education completed by children below eighteen years. The education of father and mother were also significant at (P < 0.05) and (P < 0.01) respectively and these show that children have longer access to education when parents have at least secondary school education. Some identified constraints to women asset ownership in the study area were lack of capital (67%), domestic challenges (65%), cultural barriers to female inheritance (56%), and unemployment (52%). Based on these findings it is recommended that women should be encouraged to own more assets so as to be able to positively affect their children’s welfare in terms of education. The economic situation of women can be enhanced by promoting their access to productive assets through indigenous savings and credit associations. The rural households should further be exposed to awareness talks through extension agents stressing the values of education to all in our contemporary world.    

scholarly journals Determinant of Poverty in Indonesian’s Province: A Review of Public Policy

2019 ◽  
Vol 15 (1) ◽  
pp. 59-80
Author(s):  
Radite Teguh Handalani
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Poverty Alleviation ◽  
Ordinary Least Squares ◽  
Social Aspects ◽  
Poor People ◽  
Related Aspect ◽  
Representative Model

This study aims to analyze poverty which is complex and multidimensional in terms of several aspects: physical and demographic, economic, social and behavioral aspect. However, the study of poverty problems often constrained by incompleteness and data integrity and it causes limitations on variables and aspects to be studied. Unlike some previous studies, the variables examined in this study not only underlie the study of poverty on the economic aspects and the concept of growth. However, this study was also included demographic aspects and physical mastery of resources, social aspects on education and human development index and aspect of behavior (lifestyle). This approach was applied to avoid hinder on poverty alleviation analysis due to data limitation with an adequate spectrum and dimensions so as to produce a representative model in finding determiner of poverty alleviation in Indonesia and its alternative policies. The method used in this study was carried out with a series of tests and multiple regression analysis using the ordinary least squares (OLS) method. Findings from study which used thirteen variables on related aspect of demographic, economic, social and behavioral aspects generated four variables that significantly influence the decline in the number of poor people in Indonesia. Keywords: Poverty Alleviation, Ordinary Least Squares (OLS), Determinant of Poverty, Multiple Regression Analysis   Abstrak Penelitian ini bertujuan untuk melakukan kajian tentang kemiskinan yang bersifat kompleks dan multidimensi ditinjau dari beberapa aspek kehidupan yaitu: aspek fisik dan demografi, ekonomi, sosial dan aspek budaya (perilaku). Namun, kajian masalah kemiskinan, seringkali terkendala oleh ketidaklengkapan dan integritas data sehingga menyebabkan keterbatasan pada variabel dan aspek yang hendak diteliti. Berbeda dengan beberapa penelitian sebelumnya variabel yang dikaji dalam penelitian ini tidak hanya melandasi kajian tentang kemiskinan hanya pada aspek ekonomi dan konsep pertumbuhan. Namun penelitian ini juga memasukan aspek demografi dan penguasan fisik sumber daya, aspek sosial berupa pendidikan dan indeks pembangunan manusia dan aspek perilaku (gaya hidup). Pendekatan ini dilakukan dengan tujuan agar keterbatasan data tidak menghalangi analisis tentang upaya pengentasan kemiskinan dengan spektrum dan dimensi yang memadai, sehingga dapat menghasilkan model yang representatif dalam menemukan variabel determinan dalam pengentasan kemiskinan di Indonesia beserta alternatif kebijakannya. Metode yang digunakan dalam penelitian ini dilakukan dengan serangkaian pengujian dan analisis regresi berganda menggunakan metode ordinary least squares (OLS). Temuan dalam penelitian yang menggunakan 13 variabel yang terkait aspek demografi, ekonomi, sosial dan perilaku terdapat empat variabel berpengaruh signifikan terhadap penurunan jumlah penduduk miskin di Indonesia. Kata Kunci: Pengentasan Kemiskinan, Ordinary Least Squares (OLS), Determinant of Poverty, Regresi Berganda

Sign in / Sign up

Export Citation Format

Share Document