Reference no: EM132266700
Statistics with SPSS Assignment - DEMONSTRATION OF TECHNIQUE
Follow the guidelines for formatting, naming, and submitting your files from the syllabus.
In Excel + Writing
1) The Excel file you submit should be properly formatted and annotated so it is easy to read and understand; I should be able to easily identify where to look for answers to each question, and what any cell you have added to your spreadsheet is doing. This includes freezing panes, labeling all calculations, using borders/highlighting/comments, and using appropriate formatting such as number of decimals. Sort the data by the phrasing of the question, making sure the data escalates from the least to most leading phrasing.
2) People are not great at estimating speeds; their estimates can be highly variable. Check for outliers in the estimate of speed on each day of the study. If there are any, identify them; explain how you will manage them and why you choose that method; determine and discuss what effect it has on the data by calculating and interpreting the standard deviation of that variable before and after your outlier management; and make sure that your outlier management carries through to all remaining analysis in this assignment.
3) Does the verb participants hear have an immediate impact on their speed estimates? Compare the first speed estimate for people who heard "smashed" to people who heard "bumped", conducting your analysis using the Data Analysis Toolpak. Report your hypothesis, null hypothesis, and results, and interpret the effect size and possible error.
4) Do speed estimates increase from the immediate estimate after they were first asked to their memory-based estimate one week later? Compare the relevant two speed analyses, conducting your analysis using functions and formulas. Report your hypothesis, null hypothesis, and results, and interpret the effect size and possible error.
In SPSS + Writing
Make sure you only turn to Excel only for a) creating charts or b) things that SPSS cannot do.
4) Import the data from Excel to SPSS. Without changing the variable names or any of the individual data points from the downloaded Excel file, make sure the output will present meaningful names for conditions and variables - NOT "Sp1" or "smas". Make sure all of the variables have appropriate characteristics, including decimal places. In the output, provide meaningful labels for the results so that I can identify which question is being answered and what analysis is being run to do so. Use the same Output file for all analyses (if you stop and re-start, open the output file along with the data file), and do not delete any "Log" files.
5) The biggest concern for leading questions is the impact they will have over the very long term. Compare the speed estimates at the very end of the study, considering all of the ways the question was phrased. Conduct all analyses necessary to fully answer this question. Report your hypothesis, null hypothesis, and results, and interpret the effect size and possible error.
6) Focus on the most misleading phrasing, with "smashed". If the phrasing of the question is truly altering memory, then speed estimates should increase from the first estimate to the second estimate to the final estimate. Conduct all analyses necessary to fully answer this question. Report your hypothesis, null hypothesis, and results, and interpret the effect size and possible error.
7) The speed limit on the road (posted on a sign that was visible in the video) was 30 miles per hour. Focus on the first speed estimates immediately after hearing the question. Do people who hear the word "smashed" imply that the car was speeding with their estimates? What about people who hear "bumped" or no verb? Conduct all analyses necessary to fully answer this question. Report your hypothesis, null hypothesis, and results, and interpret the effect size and possible error.