As you now enter your 7th week, you are grappling with your Methodology section, teasing out your research design, identifying variables, specifying your data collection and treatment measures, and refining your data analysis processes.
In this discussion, you will share your research methodology with your classmates. You will gain insight and ideas from this exercise and you will find yourself refining your methods as you share it with others.
You need to present your research methodology to your classmates using one of the presentation mediums listed below. Your presentation should include a synopsis of your research topic, to include a shortened introduction and statement of the problem. You need to explain your dependent and independent variables along with how you intend to measure those variables. You also need to explain your data collection and treatment procedures, and data analysis processes (namely how you plan to draw conclusions from your research). Complete citations are required for this discussion.
o PowerPoint presented with audio.
o PowerPoint with BrainShark
o PowerPoint done with Screencast-o-matic
o Prezi
o Empressr
o Knovio
o For other presentation tools not listed please ask me first.
Presentations should be 5-8 minutes in length and include at least one slide each for your introduction, research design, variables and variable measurement information, data collection and treatment procedures, data analysis processes, and also a discussion on the limitations of your research design/methodology if using PowerPoint, Prezi, or Knovio.
regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi
regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi