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Articles 121 - 129 of 129

Full-Text Articles in Social Statistics

An Analog Experiment Comparing Goal-Free Evaluation And Goal Achievement Evaluation Utility, Brandon W. Youker Jan 2011

An Analog Experiment Comparing Goal-Free Evaluation And Goal Achievement Evaluation Utility, Brandon W. Youker

Dissertations

Goal-free evaluation (GFE) is the process of determining the merit of an evaluand independent of the stated or implied goals and objectives, whereas goal achievement evaluation (GAE), as the most rudimentary form of goal-based evaluation, determines merit according to the evaluand’s level of accomplishment with regard to its goals. This study examines the utility of GAE and GFE from the perspective of the evaluation’s intended users. In the study, two evaluation teams, goal achievement and goal-free, independently and simultaneously evaluate the same human service program. Each team produced a final evaluation report, which was read by the evaluation’s users, who …


Summative Confidence, Paul Cristian Gugiu Jan 2011

Summative Confidence, Paul Cristian Gugiu

Dissertations

Often the singular goal of an evaluation is to render a summative conclusion of merit, worth or feasibility that is based on multiple streams of multidimensional data. Exacerbating this difficulty, conducting evaluations in real-world settings often necessitates implementation of less than ideal study designs. This reality gets further complicated by the standard method for estimating the precision of results via the confidence interval (CI). Traditional CIs offer a limited approach for understanding the precision of a summative conclusion. This dissertation develops and presents a unified approach for the construction of a CI for a summative conclusion (SC).

This study derived …


Variables Affecting Crime Rate, Jaime Zeigler Jan 2011

Variables Affecting Crime Rate, Jaime Zeigler

Honors Program Theses

The Federal Bureau of Investigation releases data about crime statistics. They publish the raw data and provide factors that influence the crime rate. They provide the general public with a few variables that they deemed most influential, but do not provide the statistical analysis to support. After performing a statistical analysis, I support or disprove their claims. Another way to question the validity of regression is comparing the current regression to a previous regression performed two years ago by myself with the same variables from the same source. An additional aspect that this paper explores the history of factors affecting …


On Robustification Of Some Procedures Used In Analysis Of Covariance, Kuanwong Watcharotone May 2010

On Robustification Of Some Procedures Used In Analysis Of Covariance, Kuanwong Watcharotone

Dissertations

This study discusses robust procedures for the analysis of covariance (ANCOVA) models. These methods are based on rank-based (R) fitting procedures, which are quite analogous to the traditional ANCOVA methods based on least squares fits. Our initial empirical results show that the validity of R procedures is similar to the least squares procedures. In terms of power, there is a small loss in efficiency to least squares methods when the random errors have a normal distribution but the rank-based procedures are much more powerful for the heavy-tailed error distributions in our study.

Rank-based analogs are also developed for pick-a-point, adjusted …


Assessing Left-Handedness With Exact And Approximate Confidence Intervals Appropriate For Samples Of Different Sizes, Virginia Gardner May 2003

Assessing Left-Handedness With Exact And Approximate Confidence Intervals Appropriate For Samples Of Different Sizes, Virginia Gardner

Honors Capstones

Capstone submitted as a graduation requirement for the BSU Honors Program.


State Of Maine Bicycle Crash History 1996 - 2000, Maine Department Of Transportation Jan 2002

State Of Maine Bicycle Crash History 1996 - 2000, Maine Department Of Transportation

Maine Collection

State of Maine Bicycle Crash History 1996 - 2000

Prepared by: Maine Department of Transportation, Bureau of Maintenance and Operations, Accident Records Section, 16 State House Station, Augusta, Maine 04333 (circa 2002)

Contents: Preface / Bicycle Crash Tables and Charts 1996 - 2000 / Detailed Statewide Bicycle Accident Summaries / Appendix


Online Survey System (Oss), Hui Min Tan Jan 2001

Online Survey System (Oss), Hui Min Tan

Student Works (2000-2009)

Online survey system (OSS) is an electronic survey system and productivity tool. The system enables the user to conduct a survey at case which was previously paper-based and which can be tedious and time-consuming. It can be used or administered from anywhere an internet browser is available. The users can create and design their own interactive online survey. OSS provides a fast distribution of survey from to a large geographical area through email. The respondents just need to click on the URL attach with the invitation email to direct them to the survey. After that OSS will generates analysis report …


An Analysis Of Design Effects For Media Index Survey In Peninsular Malaysia, Leang Hai Tee Jan 2000

An Analysis Of Design Effects For Media Index Survey In Peninsular Malaysia, Leang Hai Tee

Student Works (2000-2009)

This study has attempted to analyze the sampling errors and design effects of Media Index Survey (MIS). MIS is a nationwide survey of sample size of 8738 interviews carried out in Peninsular Malaysia adopting stratified 2-stage cluster sampling, a complex sampling design that widely use in most of the general public surveys Taylor Expansion of ratio estimates method is employed in this study to compute the sampling errors. A total of 60 variables concerning ownership of household durable goods, daily consumer products bought in the past I month, media consumption habits, hanking services, leisure activities and literacy rate are analyzed …


How Bad Can Good Data Really Be?, William (Bill) H. Williams May 1978

How Bad Can Good Data Really Be?, William (Bill) H. Williams

Publications and Research

Bias has different sources. Measurement errors create "bad" data and biased estimates. But selection biases occur even with "good" data and can be both subtle and large in magnitude.