The heart of this dissertation is the SCAPULA Information Retrieval System, used to create, maintain, and retrieve coded archaeological data for the Upper Wabash Drainage at the Archaeology Laboratory of Ball State University.Several existing archaeological data banks were surveyed and classified at first, and different file organizations, computer software and hardware were reviewed next using as a major criterion the needs of archaeologists at Ball State in order to determine the characteristics of the SCAPULA System.The encoding instructions and retrieval keywords are illustrated and listed, while the functions of the SCAPULA are introduced. With its straightforward query instructions and examples, the SCAPULA Information Retrieval System, a relational data bank, is very easy to use.The present study sought to examine the impact of victim-observer similarity, victim physical attractiveness, outcome severity and sex of respondent on responsibility attributions made toward a rape victim. Perceived attitudinal similarity, victim physical attractiveness, and outcome severity were experimentally varied. In addition this study sought to further examine sex differences, which prior research has indicated may influence how a rape victim is perceived.A modified version of Alexander's (1980) scale was used to measure the degree of responsibility attributed to the victim, to the assailant, to society and to chance in each condition. A research design was developed using two levels of each of the four factors.The experiment was conducted during regular class periods. The population consisted of 198 male and female undergraduate students. Prior to the actual experiment, Ss were randomly assigned to review an attitude questionnaire (supposedly completed by the victim), which was either similar or dissimilar to one completed previously by themselves. The attitude survey used in this study was the Important Issues Questionnaire (Novak & Lerner, 1968). The study was conducted such that Ss perceived the victim to be either like or unlike themselves in basic attitudes. Ss were then asked to view a videotape in which a sexual assault victim was interviewed. The victim was actually an actress who read a prepared script. Outcome severity was varied by the use of written vignettes and by the victim's (actress's) narration of either having suffered an attempted rape or a rape with physical injuries. Physical attractiveness was varied by the use of cosmetics and dress. Ss were tested in groups. Each group saw only one of the four videotapes. Ss were debriefed following the experiment.The study was designed to answer the following research questions:1. Would Ss make significantly different responsibility attributions toward a victim they perceived as similar to themselves than toward a victim they perceived as dissimilar to themselves?2. Would Ss make significantly different responsibility attributions toward a victim who suffered a non-severe outcome than toward a victim who suffered a severe outcome?3. Would male Ss make significantly different attributions of responsibility toward a physically attractive victim than toward a physically unattractive victim?4. Would the respondent's sex significantly affect the degree of responsibility attributed to the victim?A 2x2x2x2 multivariate analysis of variance was used to test the four research hypothesis. Significance was considered at an alpha level of .05.FindingsThe results of this study indicated that no significant difference existed for similarity, outcome severity, sex of respondent or physical attractiveness. There was however, a tendency for Ss to attribute more responsibility to the victim who had suffered a severe outcome, and also for the assailant in that condition to be assigned a harsher penalty.ConclusionPrior research in the area of rape victim culpability has offered conflicting results. The present study sought to provide clarity to the findings of previous research. Further research is needed in this area to gain a clearer understanding of factors which influence how victims of sexual assault are perceived.

<p>In the context of climate change, increasing demands for freshwater make it necessary to manage our water resources in a sustainable way and find innovative ways to extend their life. An integrated water management approach needs to consider anthropogenic water use and reuse which represent major components of the current water cycle. In particular, unplanned, or de facto, indirect water reuse occurs in most of the U.S. river systems; however, there is little real-time documentation of it. Despite the fact that there are national and state agencies that systematically collect data on water withdrawals and wastewater discharges, their databases are organized and managed in a way that limits the ability to combine reported water data to perform large scale analysis about water use and indirect reuse. To better document these issues and to demonstrate the utility of such an analysis, I studied the Wabash River Watershed located in the U.S. Midwest. Existing data for freshwater extraction, use, discharge, and river streamflow were collected, curated and reorganized in order to characterize the water use and reuse within the basin. Indirect water reuse was estimated by comparing treated wastewater discharges with stream flows at selected points within the watershed. Results show that during the low flow months of July-October 2007, wastewater discharges into the Wabash River basin contributed 82 to 121% of the stream flow, demonstrating that the level of water use and unplanned reuse is significant. These results suggest that intentional water reuse for consumptive purposes such as landscape or agricultural irrigation could have substantial ecological impacts by diminishing stream flow during vulnerable low flow periods. This research also completed a time series watershed-scale analysis of water use and unplanned indirect reuse for the Wabash River Watershed from 2009 to 2017. Results document the occurrence of indirect water reuse over time, ranging from 3% to 134% in a water-rich area of the U.S. The time series analysis shows that reported data effectively describe the water use trends through nine years, clearly reflecting both anthropogenic and natural events in the watershed, such as the retirement of thermoelectric power plants, and the occurrence of an extreme drought in 2012. Results demonstrate the feasibility and significance of using available water datasets to perform large scale water use analysis, describe limitations encountered in the process, and highlight areas for improvement in water data management.</p>