Woody biomass transportation costs and market values/costs are strongly correlated with the woody biomass moisture content. Properly managing moisture content can potentially lead to economic and environmental advantages in biomass energy markets. Good management requires accurate moisture content measurements. Therefore, availability of accurate, precise, reliable, and efficient tools to assess woody biomass moisture content is essential. In this study, six different tools (Fibre-Gen HM200, IML Hammer, Humimeter BLW, Timbermaster, Humimeter HM1 and Wile Bio Meter) were evaluated. The six tools employed three different measurement technologies; acoustic, conductance, and capacitance. Woody biomass samples were collected over one season (summer 2011) at three different locations in western Oregon (Corvallis, Dallas, and Clatskanie) for three softwood species and three hardwood species: Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco), Ponderosa pine (Pinus ponderosa L.), western hemlock (Tsuga heterophylla (Raf.) Sarg.), hybrid poplar (Populus spp.), Madrone (Arbutus spp.), and Garryana Oak (Quercus garryana Dougl. ex Hook). Twenty 3-meter long log (20 to 400mm diameter) specimens were collected per species; 18 specimens were divided into two different treatments (open vs. covered), and the two remaining specimens were chipped. In addition, approximately 100 kilograms per species of hogfuel (limbs and tops) were collected and chipped. Moisture content measurements of logs, chips, and hogfuel were made regularly over a four month period. These data was used to develop multiple linear regression models for assessing the moisture content of the six species using the six tools. The major factors considered in the regression models were species (6), treatment (2), and tools (6). The data were also used to estimate the sample size needed for each tool. The best tool from each technology type was identified. The results generated from this study show that (1) none of the tools are accurate without calibration for different species, (2) the best model/tool combination could only explain about 80% of the variability in measurements, (3) further product development is required in some cases to ensure that the tools are robust for industrial application, and (4) there is a wide range in efficiency of the tools (i.e., 50 minute tool efficiency range). The Fibre-Gen HM200 and Wile Bio Meter were the most accurate, precise and efficient tools tested. The cost of transporting woody biomass from the forest to woody biomass plants is "optimized" when the moisture content drops to approximately 30% (wet basis). Validation of the models developed for three of the tools tested (Fibre-Gen HM200, Humimeter BLW and the Wile Bio Meter) indicates that the tools are accurate below 35% MC (wet basis). This suggests they could be used for making threshold transportation decisions, i.e., determining when to haul. / Graduation date: 2013

The well-being of employees is an important issue. Researchers, policy makers and organisations are directing more resource into this field as the link between the health of people and their performance in the workplace becomes increasingly understood. This research programme examines how employee well-being can be measured. Having the right tools to successfully appraise well-being at the outset is judged to be imperative where any research or organisational programme to bring about change is under consideration. A review of existing methods indicates that the current provision of scales to assess the well-being of workers is limited and the construction techniques used in their development may be improved upon. At the core of this study is the testing of a new measurement framework which seeks to address these deficiencies. This innovative approach is taken from one established practice used to assess the well-being of patients using health related quality of life instruments. Three organisations participated in the study; a call centre operation, a police force and a county-based library service. Using qualitative and quantitative methodologies, three pilot questionnaires were constructed using Impact Analysis; an established procedure deployed in health related quality of life settings. Basic findings from each case study were analysed against conventional construction methods and against existing employee well-being scales. Results were also examined in respect of how they compared with the wider literature on employee well-being. ii The Impact Analysis method was critically appraised. Although weaknesses in respect of some of the qualitative phases of analyes were noted, the overall notion of transferring the practice of Impact Analysis to an occupational setting was assessed as cautiously encouraging. While this scale construction method lacks the statistical elegance of factor analytical methods, provisional indications suggest potential benefits in content validity over extant occupational scales where the assessment of a study population’s own experiences are critical to any well-being evaluation strategy. Based on the findings, a new operational definition for employee well-being is posited. A new, working model is also proposed. This emphasises for the first time, the need for specificity when researchers and organisations are seeking to evaluate a multi-dimensional, subjective construct that is employee well-being. Limitations regarding the study are noted. This means that the findings should be treated as tentative rather than conclusive. Nevertheless, it is hoped that this study will inject new thinking on how employee well-being may be evaluated using an alternative approach. By doing so, it is ventured that research communities and employers alike may take up the methods described in this study to conduct assessment programmes that could benefit not just the study teams or the employers, but importantly, the workers themselves.

The primary purpose of this study was to develop a measure to assess negative attentional bias toward changes in bodily sensations during exercise and to examine the reliability and validity of that measure. A secondary purpose was to develop a measure to assess tendencies toward rumination about the changes in bodily sensations and tendencies to have escape thoughts with regard to the exercise bout. While global measures of anxiety, rumination, and escape thoughts already exist, the advantage of these newly developed measures is that they are context specific to exercise. Participants in this study consisted of 329 undergraduate students. The mean age for the participants was 19.94. Participants were given, via an online survey, two newly created measures as well as established measures of neuroticism, pessimism, trait anxiety, and current exercise habits. The two newly created measures yielded reliable scores via examination of internal consistency. The results also demonstrated that the newly created context specific measures correlated significantly with global measures of neuroticism, pessimism, and trait anxiety; evidence for convergent validity. Last, the new measures correlated more strongly with current exercise habits than the global measures; evidence for convergent-divergent validity.

This thesis focuses on web site evaluation by using structural evaluation and scope of business based content comparison. Firstly, web site measurement techniques and evaluation methods are reviewed. Then a structural evaluation and content comparison method introduced. This thesis also includes a web based implementation of these methods for evaluating web sites which is partially automated for structural evaluation method.

Teacher self-efficacy refers to teachers&rsquo / belief in their abilities to perform an action. In the present study, a new scale was developed to measure teacher self-efficacy beliefs toward measurement and evaluation practices, called &ldquo / Teacher Self-Efficacy toward Measurement and Evaluation Practices Scale&rdquo / (TEMES). The purpose of this study was to test a model of relationships among teacher self-efficacy toward measurement and evaluation practices, teachers&rsquo / sense of efficacy, year in teaching, and frequency of using traditional and alternative measurement and evaluation tools. Three hundred ninety-four teachers participated in the study. Confirmatory Factor Analysis (CFA), Multivariate Analysis of Variance (MANOVA), Canonical Correlation Analysis, and Structural Equation Modeling (SEM) were conducted to answer the research questions. CFA provided evidence for five-factor structure of the TEMES. Cronbach&rsquo / s alpha coefficients of these five factors were satisfactory, ranging from .76 to .87. Teachers reported more frequent use of traditional measurement and evaluation tools than alternative tools. Separate MANOVAs yielded non-significant effect of gender on the factors of TEMES, but of teaching level. In addition, findings of canonical correlation analysis indicated that factors of TEMES were correlated with factors of Turkish teachers&rsquo / sense of efficacy scale (TTSES). Results of the SEM indicated that teacher self-efficacy toward measurement and evaluation practices was positively correlated with frequency of using traditional and alternative measurement and evaluation tools. Year of teaching was found to be a non-significant predictor of teachers&rsquo / sense of efficacy, teacher self-efficacy toward measurement and evaluation practices, and frequency of using traditional and alternative measurement and evaluation tools.

Includes vita. / Title from PDF of title page. / Document formatted into pages; contains 158 pages. / Thesis (Ph.D.)--University of South Florida, 2003. / Includes bibliographical references. / Text (Electronic thesis) in PDF format. / ABSTRACT: The empirical testing of theories is an important component of research in any field. Yet despite the long history of science, the extent to which theories are supported or contradicted by the results of empirical research remains ill defined. Quite commonly, support or contradiction is based solely on the "reject" or "fail to reject" decisions that result from tests of null hypotheses that are derived from aspects of theory. Decisions and recommendations based on this forced and often artificial dichotomy have been scrutinized in the past. Such an overly simplified approach to theory testing has been vigorously challenged in the past. Theories differ in the extent to which they provide precise predictions about observations. The precision of predictions derived from theories is proportional to the strength of support that may be provided by empirical evidence congruent with the prediction. / ABSTRACT: However, the notion of precision linked to strength of support is surprisingly absent from many discussions regarding the appraisal of theories. In the early 1990s, Meehl presented an index of corroboration to summarize the extent to which empirical tests of theories provide support or contradiction of theories. This index is comprised of a closeness component and an estimate of precision. The purpose of this study was to evaluate the utility of this index of corroboration and its behavior when employing path analytic methods in the context of social science research. The performance of a multivariate extension of Meehl's Corroboration Index (Ci) was evaluated using Monte Carlo methods by simulating traditional path analysis. Five factors were included in the study: model complexity, level of intolerance, verisimilitude, sample size and level of collinearity. Results were evaluated in terms of the mean and standard error of the resulting multivariate Ci values. / ABSTRACT: Of the five central design factors investigated, the level of intolerance was observed to be the strongest influence on mean Ci. Verisimilitude and model complexity were not observed to be strong determinants of the mean Ci. The lack of sensitivity of the index to the other design factors led to a proposed alternative conceptualization of the multivariate corroboration index to guide future research efforts. / System requirements: World Wide Web browser and PDF reader. / Mode of access: World Wide Web.

Includes vita. / Title from PDF of title page. / Document formatted into pages; contains 223 pages. / Thesis (Ph.D.)--University of South Florida, 2003. / Includes bibliographical references. / Text (Electronic thesis) in PDF format. / ABSTRACT: This study addresses research reporting practices and protocols by bridging the gap from the theoretical and conceptual debates typically found in the literature with more realistic applications using data from published research. Specifically, the practice of using findings of statistical analysis as the primary, and often only, basis for results and conclusions of research is investigated through computing effect size and confidence intervals and considering how their use might impact the strength of inferences and conclusions reported. Using a sample of published manuscripts from three peer-rviewed journals, central quantitative findings were expressed as dichotomous hypothesis test results, point estimates of effect sizes and confidence intervals. Studies using three different types of statistical analyses were considered for inclusion: t-tests, regression, and Analysis of Variance (ANOVA). / ABSTRACT: The differences in the substantive interpretations of results from these accomplished and published studies were then examined as a function of these different analytical approaches. Both quantitative and qualitative techniques were used to examine the findings. General descriptive statistical techniques were employed to capture the magnitude of studies and analyses that might have different interpretations if althernative methods of reporting findings were used in addition to traditional tests of statistical signficance. Qualitative methods were then used to gain a sense of the impact on the wording used in the research conclusions of these other forms of reporting findings. It was discovered that tests of non-signficant results were more prone to need evidence of effect size than those of significant results. / ABSTRACT: Regardless of tests of signficance, the addition of information from confidence intervals tended to heavily impact the findings resulting from signficance tests. The results were interpreted in terms of improving the reporting practices in applied research. Issues that were noted in this study relevant to the primary focus are discussed in general with implicaitons for future research. Recommendations are made regarding editorial and publishing practices, both for primary researchers and editors. / System requirements: World Wide Web browser and PDF reader. / Mode of access: World Wide Web.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniv., 2009. / Härtill 4 uppsatser.

This research undertook a case study of the intergovernmental Alternative Dispute Resolution (ADR) process administered by the Ministry of Community Development (MCD) in the province of British Columbia (BC), Canada. This study used concurrent nested mixed research methods in order to discover how best to deliver, monitor, measure, and communicate MCD’s ADR process. The dominant research approach used was qualitative and involved informal interviews and document analysis. The purpose of the interview portion of the research was to flesh out descriptors and perceptions of MCD’s ADR process with the objective of coming to a greater understanding of current and potential delivery, monitoring, measurement, and communication mechanisms most appropriate for the ADR process. The interviews undertaken in this research also provide the opportunity for MCD staff to deliver feedback on, and offer insights into, the research. The document analysis portion of the research involved a textual analysis of MCD’s electronic and print ADR process communications in order to build on the descriptors and perceptions identified in the interviews, providing for a more full understanding of the ADR process and the delivery, monitoring, measuring, and communication strategies best suited to it. The nested quantitative portion of the research involved the use of secondary, anonymized data garnered from a survey prepared by MCD’s Director of Intergovernmental Relations which has been in distribution for a number of years. The survey used a Likert scale to measure process indicators. Data from this survey was analyzed to generate information about how participant respondents in the ADR process perceived certain attributes of the ADR services. Potential implications of this research include: providing applied tools to monitor, measure, and communicate ADR processes, increasing accountability in government administered publicly funded programs, generating ideas around local government ADR processes, improving dispute management in increasingly complex intergovernmental relational contexts, and addressing the literature gap on ADR processes and intergovernmental relations. The general findings of this research included clarification of MCD’s ADR process mission, vision, and goals, its communication strategy, and the perspectives of facilitators on both successful and challenging aspects of process delivery. The research findings also identified gaps in process performance monitoring and measurement and discussed the implications of MCD’s ADR process survey data results. This thesis concludes with recommendations to update process mission, vision, and goals. The thesis also suggests further ways to monitor and communicate MCD’s ADR process and provides templates for doing so. Finally, this thesis identifies opportunities to strengthen practices in process delivery. In the final chapter, areas for future research are suggested including: • ADR program evaluations generally, • Provincially administered inter-local government ADR processes, • Comparative work on inter-local government ADR in other national jurisdictions, • Ways to incorporate diverse methods and cultural approaches to conflicts and disputes into inter-local government ADR processes, • Studies into BC local government perspectives on MCD’s ADR process, and • Ways in which BC First Nations governments could be included in inter-local government ADR processes.

Software has gained an essential role in our daily life in the last decades. This condition demands high quality software. To produce high quality software many practitioners and researchers put more attention on the software development process. Large investments are poured to improve the software development process. Software Process Improvement (SPI) is a research area which is aimed to address the assessment and improvement issues in the software development process. One of the most important aspects in software process improvement is to measure the results gained from the embarked process change. Without measuring the results, it is hard to tell whether the goals have been achieved or not. However, measurement for software process improvement is not a trivial task. Furthermore, there is no common systematic methodology that can be used to help measuring the performance of software process improvement initiatives. This thesis is intended to provide basic key concepts for the effective measurement and evaluation of the outcome of software process improvement. A major part of this thesis presents the systematic review in evaluating the outcome of software process improvement. The systematic review is aimed at the identification of the major issues in software process improvement evaluation and to gather the requirements for a software process improvement measurement and evaluation framework. Based on the results of the systematic review, a measurement and evaluation model is formulated. The objective of the model is to provide the groundwork for a software process improvement measurement and evaluation framework. The model is deemed to be applicable in a broad spectrum of scenarios by providing concepts that are independent from specific SPI initiatives.