Synthesis of Research Problem, Method, and Design-Hypothetical Designs Paper

Synthesis of Problem, Method, and Design-Hypothetical Designs - Research Paper Example These challenges, which include dishonesty and plausible misjudgments, threaten the quality of results obtained through this process. Certain measures have, however, been put in place, to ensure high quality, and error free results. There is little or no attention given to the efficiency and throughput of the crowdsourcing process or the integrity of the results obtained. It is argued that the numbers of task workers and tasks are always small, thereby, resulting in crowdsourcing techniques that are not conscious of the number of tasks, potential worker behavior and efficiency of the process. This research aims at proposing a crowdsourcing, result-improvement technique that is independent of task complexity and sizes and ensures result quality, integrity, as well as efficiency and throughput of the process. The hypothesis being studied in this case is that crowdsourcing result-improvement techniques that are task size and complexity independent ensures result integrity, quality, effi ciency as well as throughput. Hypothetical Designs Quantitative design This design will utilize experimental research method - methods that aim at maximizing replicability, generalizability, and objectivity of results; mostly concerned with prediction (Creswell, 2009). The focus will be to test several existing crowdsourcing techniques including r-Redundancy, v-Voting, and Vote Boosting techniques on a large number of tasks that will be handled by a large number of users. These techniques will be considered as experiment participants. The independent variable in this case would be the crowdsourcing techniques, including r-Redundancy, v-Voting, Vote Boosting techniques and the technique that this research will propose. The independent variables will be studied in two level; low task, less complex task level, and high number of tasks, and complex tasks level. Consequently, the dependent variables will be integrity, quality, efficiency as well as throughput. The experiment will be set in such a way that, the tasks set for testing, will have two definitive parameters including the accuracy of the tasks initial states and the number of options available per decision. 8 sets of 100,000 tasks with 3, 4, or 5 options and 75%, 85%, and 95% as the accuracy for the initial set tasks. There are about 4 to 10 decisions distributed normally. The user network or population tested also has two parameters including mean probability for committing errors and for dishonesty. Values of 3%, 6% and 20% are used for both dishonesty and making of errors. These probabilities were distributed exponentially over [0, 1] around their mean values. Simulations for about 40 input-aggregation functions with each one receiving one input are run repeatedly. For this experiment, the proposed quantitative hypothetical design is deemed to be extremely expensive even in the event that only few points in a parameter space are covered. Qualitative Design In this case, this research method will aim at understanding and discovering the perspectives, thoughts and experiences of previous researchers and participants in the same field in order to understand reality, purpose and meaning (Trochim & Donnelly, 2008). The focus will be to review and evaluate literature on previous and current research