3. Re-observation and re-measurement. I will run a query with the same Search term 1 and capture top ten Personal Search results in the spread sheet. I will observe and try to identify changes in the results. I will repeat these steps by adding consecutive four Batches of ten links each and measuring the Personal search results. 4. Proving or disapproving relationship. I will analyse and interpret the data in attempt to prove or disapprove the relationship between cause and effect. 5. Identification of casual factors. Cause – number of social connections Effect – number of unique search results comparing with other Batches 6. Explanation Hopefully after analysing and interpreting captured data, it will be possible to explain the mechanism for the cause-effect relationship. 7. Prediction. If conclusions are firm enough and support my hypothesis I shall be able to predict future events and prove that cause will always have the same effect. 8. Repetition. The experiment will be repeated number of times using various combinations of search terms.
4.2 Aim The purpose of the experiment I conduct is to investigate the relationship between the cause and effect I will observe in the measured data. The objective of this project is to research how Google’s personal search will impact the researchers’ results. Google search engines are personalised for the Google account users I will present the hypothesis so that can be tested empirically. The experiment’s outcome hopefully will allow me to prove or disapprove my hypothesis. To ensure that reliable conclusions can be drawn I will repeat the experiment number of times using different variables.
4.3. Designing experiment My experiment has been divided into two phases. During Phase one I search for the term related to the modules taught in the MSc course in Information Systems and Technology. I run the query with the social connections from the Technology category and from various nontechnology related categories in order to establish how it influences the search results. The analysis of Experiment 1 will lead to Experiment 2 where I research how number of social links from the same Technology category influences the search results. Experiment 2 will be 17