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PhD Pilot study Editing Services

The pilot study or feasibility study refers to mini version or small scale versions(s) of a full-scale study, or it may include pretesting of an instrument including questionnaire or interview schedule. It is one of a crucial element of a study design but conducting would not guarantee success in the main study but increase the likelihood. In other words, pieces of trials research are conducted prior to the main study to answer the enquiry "can I did this study?" or background work was done to inform the feasibility of the study. Pilot studies may address many numbers of sound issues. It could be conducted in qualitative, quantitative and mixed methods of research.

1. Ph.D. Experts at Ph.D. Assistance have capability & skills to conduct pilot study
Most of the student is facing an extremely hectic and frustrating when conducting the research of the pilot study for the Ph.D. project because as we knew it is an appropriate way compare to case studies, help to decide how well we could conduct full scale of the research study. Most of the English speaking and Non-English speaking student are freaked out as soon as they assigned for the pilot study where they need to estimate feasibility, time, resources of the complete scale study of the project. Undoubtedly, you pursue a good study design and best research methods for your large-scale research projects.

2. Data Analysis Tools
Statistical Analysis Tools are required for a thorough and scientifically valid analysis of survey results. There are several choices available for the researcher to choose from - ranging from the simple tools available with all survey packages that calculate percentages and totals - to the very advanced tools requiring a graduate education to learn and use.

  • SPSS :

SPSS (Statistical Package for the Social Scientists) is a data management and statistical analysis tool which has a very versatile data processing capability.

In the context of small-scale learning and teaching evaluation you are only likely to use a very limited range of the full capability of SPSS. But it can be useful for:

  • Electronically storing questionnaire data. Data is stored in a spreadsheet-like table similar to that of Microsoft Excel.

  • Generating routine descriptive statistical data for question responses, such as frequency counts of closed questions, distribution of multiple-choice question responses etc.

  • Creating graphical presentations of questionnaire data for reporting, presentations or publications.

3. Data Collection
The data collected for a research problem is known as Primary Data. With the primary data collection methods, a researcher can collect data through the direct responses of the participants. During the process, the participants could report their personal experience, attitudes, and feelings to the researcher. As already mentioned, primary data is collected through interviews, surveys, experiments, and Field observations.

  • Primary Data Collection:

We decide on when and over which timer period data collection process starts.

  1. For instance, we look out whether your study design belongs to one of the following

  2. Time series: the same data is collected from different groups of people over defined period, usually with the same interval between periods of data collection

    Panel: Multiple data collection period, where the same data is collected from the sample group

  3. Prepare Questionary

  4. A questionnaire is the basic requirement when you are set to collect data for your research work. It is like a standardized tool that can be applied on all your subjects in the same manner. Thus, it is critical to include all appropriate and relevant questions in a research questionnaire. In addition, one must assure that the set of questions in a questionnaire could be applied to any of your subjects. If any questions are not valid for a certain subject, those should be avoided to be included in your questionnaire.

  5. Define target participants: from Whom?
    • Characteristics of the target population - size and its availability
    • Why these characteristics are important
    • Access to the population of interest.

  6. Define sample: How many people
    • Sampling methodology: Single of multistage sampling or clustering.

    Recruitment and selection process
    • A systematic or probabilistic sample
    • Stratification - both male and female. Or income levels, education

  7. What data collected
    • Identification of individuals or selected sites
    • Type of data collected - field notes from observation, views, and opinions from interviews, documents, audio and visual materials

  • Secondary Data Collection:

    • In contrast, secondary research involves data that has been collected by somebody else previously. This type of data is called "past data" and is usually accessible via past researchers, government records, and various online and offline resources.

    • So to recap, secondary research involves re-analyzing, interpreting, or reviewing past data. The role of the researcher is always to specify how this past data informs his or her current research.

    • In contrast to primary research, secondary research is easier, particularly because the researcher is less involved with the actual process of collecting the data. Furthermore, secondary research requires less time and less money (i.e., you don't need to provide your participants with compensation for participating or pay for any other costs of the research).

BE/BTech & ME/MTech Final Year Projects for Computer Science | Information Technology | ECE Engineer | IEEE Projects Topics, PHD Projects Reports, Ideas and Download | Sai Info Solution | Nashik |Pune |Mumbai