Your project
steps for Success
The steps to complete a JSHS project are laid out below. You will need to submit details about your progress through each of the steps. This is designed to allow for feedback as your project progresses. If you have any questions please contact Brian Zimmer at Brian.Zimmer@eu.dodea.edu. We look forward to the development of your original research!
Regional Dates: March 24, 2015 Choose a topic Research the topic > (Due Oct 5)  Click here to submit Design the Experiment > (Due Oct 19) Data Collection and Processing > (Due Dec 14) Write the Paper Turn in the Paper (due Jan 16, 2015) 

Ideas for Helping Your JSHS Student Succeed
Sample Paper
Use a testable question with a repeatable experiment. JSHS focus in on original research by students.
Develop and use a question that requires an easily repeatable experiment in which you collect numerical data. Example: Does the angle/shape of a ramp affect the speed of a model car?
Clearly define all variables in the experiment.
The independent variable and the dependent variable need to be clearly defined. There should only be one independent variable. The independent variable is what will be manipulated or changed in the experiment. The dependent variable is what will be measured in the experiment (this is the source of the numerical data).
Write the hypothesis as an IfThen statement.
The “If” is based on the independent variable and the “Then” is based on the dependent variable. Example: If the angle of the ramp is increased (independent variable), then the speed of the model car will increase (dependent variable).
Collect quality numerical data using multiple trials.
The data collected needs to be in numerical form and be collected using multiple trials with the same experiment. The more trials used to collect data increases reliability. Although the number of trials may vary depending on the type of experiment, in the past successful projects have had at least 25 trials.
Clearly link the conclusion to the hypothesis and data.
The conclusion is a summary of the experiment based on the analysis and interpretation of the data. There should be a direct connection between the conclusion and the hypothesis.
Use appropriate statistical analysis.
The data should be analyzed using at least one measure of central tendency (i.e. mean, median, mode, range) as well as at lease one graphic representation (i.e. circle graph, boxandwhisker plot, line graph, scatter plot, bar graph, etc.). A statistical test (i.e. Standard Deviation, Ttest, Chi Square, etc.), should be used to evaluate significance in the data.
Use judging criteria to organize the project and presentation.
Use the National Judge’s Score Sheet to organize the project and presentation. Insure that all key components are well developed and can be clearly communicated.
Practice the presentation and use feedback to revise as needed.
Practice the presentation for the project so that the judges will view the project as well developed and polished. Use feedback from practice sessions to revise the presentation as appropriate.
Use a testable question with a repeatable experiment. JSHS focus in on original research by students.
Develop and use a question that requires an easily repeatable experiment in which you collect numerical data. Example: Does the angle/shape of a ramp affect the speed of a model car?
Clearly define all variables in the experiment.
The independent variable and the dependent variable need to be clearly defined. There should only be one independent variable. The independent variable is what will be manipulated or changed in the experiment. The dependent variable is what will be measured in the experiment (this is the source of the numerical data).
Write the hypothesis as an IfThen statement.
The “If” is based on the independent variable and the “Then” is based on the dependent variable. Example: If the angle of the ramp is increased (independent variable), then the speed of the model car will increase (dependent variable).
Collect quality numerical data using multiple trials.
The data collected needs to be in numerical form and be collected using multiple trials with the same experiment. The more trials used to collect data increases reliability. Although the number of trials may vary depending on the type of experiment, in the past successful projects have had at least 25 trials.
Clearly link the conclusion to the hypothesis and data.
The conclusion is a summary of the experiment based on the analysis and interpretation of the data. There should be a direct connection between the conclusion and the hypothesis.
Use appropriate statistical analysis.
The data should be analyzed using at least one measure of central tendency (i.e. mean, median, mode, range) as well as at lease one graphic representation (i.e. circle graph, boxandwhisker plot, line graph, scatter plot, bar graph, etc.). A statistical test (i.e. Standard Deviation, Ttest, Chi Square, etc.), should be used to evaluate significance in the data.
Use judging criteria to organize the project and presentation.
Use the National Judge’s Score Sheet to organize the project and presentation. Insure that all key components are well developed and can be clearly communicated.
Practice the presentation and use feedback to revise as needed.
Practice the presentation for the project so that the judges will view the project as well developed and polished. Use feedback from practice sessions to revise the presentation as appropriate.