Discount Ratio Effect and Mental Accounting in Money Saving Decisions

Author(s):  
Alison K. Klein ◽  
X. T. Wang
1995 ◽  
Author(s):  
Suzanne O'Curry ◽  
Ching-Fan Sheu
Keyword(s):  

1995 ◽  
Author(s):  
Chip Heath ◽  
M. G. Fennema
Keyword(s):  

2018 ◽  
Vol 19 (2) ◽  
pp. 87
Author(s):  
Siska Wulandari

Manufacture Sub Sector Garment And Textile have financial distress condition. Increas of sales is one of choice for company can be competitive in free market. But increase of sales will be followed by the many possibilities of uncollected receivable or the low receivable turnover which can effect forced the company to further provide working capital. One way is to get working capital from a third part or what we call debt.This research aims to determine the effect of receivable turnover and the solvency ratio toward the financial distressThe problems of the research were: 1) is the receivable turnover effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015? 2) is the leverage ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015 ? 3) Are the receivable turnover and solvency ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015?The sample of this research is 11 Manufacture company of sub sector Garmen And Textile were taken by using purposive sampling techniques. This research data used secondary data that getting from literature review. Data were tested using multiple linear regression analysis to determine the effect between one variable with another variables, and the data was then processed using SPSS 22.0 for windows.Result of the research showed that partially, receivables turnover hadn’t a significant effect toward  the financial distress. Partially, solvency ratio (Debt to Asset) had a significant influence toward financial distress Simultaneously, receivable turnover and solvency ratio had a significant effect toward financial distress. Kata kunci:Waste Bank, Waste Bank Management, Waste Bank Basic Concepts, Economic Improvement of the Family


2018 ◽  
Author(s):  
Prathiba Natesan ◽  
Smita Mehta

Single case experimental designs (SCEDs) have become an indispensable methodology where randomized control trials may be impossible or even inappropriate. However, the nature of SCED data presents challenges for both visual and statistical analyses. Small sample sizes, autocorrelations, data types, and design types render many parametric statistical analyses and maximum likelihood approaches ineffective. The presence of autocorrelation decreases interrater reliability in visual analysis. The purpose of the present study is to demonstrate a newly developed model called the Bayesian unknown change-point (BUCP) model which overcomes all the above-mentioned data analytic challenges. This is the first study to formulate and demonstrate rate ratio effect size for autocorrelated data, which has remained an open question in SCED research until now. This expository study also compares and contrasts the results from BUCP model with visual analysis, and rate ratio effect size with nonoverlap of all pairs (NAP) effect size. Data from a comprehensive behavioral intervention are used for the demonstration.


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