scholarly journals Evaluating needs-based home visiting support: Can administrative data help?

Author(s):  
Nell Warner

Objective Home visiting is a form of family support which can help families with different problems in different ways. Previous evaluations have utilised either experimental or qualitative designs. However, the needs-based nature of support presents a challenge for evaluation using experimental designs. Main Aim This paper illustrates the unique contribution that administrative data can make to understanding these problems and how it can be used to explore what support works for families in different situations. Methods The analysis of administrative data from one UK home visiting organisation, Home-Start, is presented. Exploratory analysis considers measures describing how well parents are coping with a range of issues and how this changes over the course of support. This highlights problems with evaluation because of the variety of issues Home-Start is supporting parents to cope with and the fact that the duration of support is needs-based. Methodological solutions are proposed for these problems using the administrative data. These include using subgroups to study families with different problems and considering the rate at which improvements occur as an outcome variable. Linear regression models are presented to demonstrate how these methods can identify aspects of support related to improvements in parental self-esteem. Results The methods used are able to demonstrate that the frequency of support and who the support is provided by are related to faster improvements in parental self-esteem. The analysis of sub-groups in the data shows that the frequency of support is important for all parents, but there are differences between parents in different situations, depending on whether volunteers or paid staff provide support. Conclusion The analysis of administrative data is able to make a unique contribution to the evaluation of needs-based home visiting support.

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.


Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.


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