SPP6

=Semester Project Phase 6: Analyze Your Data= Based on your data collection efforts in Phase 5, analyze the data and prepare a written description along with appropriate graphs, charts and tables.

Deliverables—Prepare an Analysis Report that includes the following.
 * 1) State your research questions.
 * 2) Describe your data analysis methods for each research question. [State what you did if this was different from what you proposed.]
 * 3) Present your findings using figures, graphs, charts, and/or tables—not the raw data, but the results from your data analysis. Be sure to number them.
 * 4) Provide a discussion about your findings—write a description of your findings pointing to your figures, tables, graphics etc.
 * 5) Answer your research questions, based on your data analysis (results)
 * 6) Document any analysis issues that you had related to the data analysis. What did you want to do but were not able to do? What were the limitations related to your data analysis? Describe the weaknesses of your study.
 * Due: April 18th at 11:59**

Questions: So, do you think we resubmit the other sections of the project? - I would think maybe, for the final report, whatever that is. But not for this report. I would pose this question in chat Tuesday night. LG And we are going to re-format, correct? DEFINITELY reformat, start with a new clean file. LG

Don't know if you read Jyoti's comments on the course wiki about Standard Deviation, we may not be able to do this for our project: (LG)

//2. S.D does project the spread of scores around the mean. However, one also needs to realise that S.D is meaningful when the distribution is normal and also when the data is in interval scale. Hence, it may not be appropriate to consider calculating S.D for situations like 'year did you graduate' or 'respondents answered questions relating to the barriers of purchasing green cleaning products or 'for just likert scale items' or 'age was for our participants', and 'how many hours they spent on the internet'.//

Excel file, sortable by all fields including demographic data:

Demographics spreadsheet with graphics Shopping experiences spreadsheet with graphics

Data with weights added (need to figure out how to measure product questions) I used the numbers on the survey question page plus the following weights: Demographic Age 1 18 -29 2 30 -39 3 40 - 59 6 60+

Race 1 African-American 2 Asian 3 Caucasian 4 Hispanic 5 Native 6 Other

Gender 1 Male 2 Female

Education 1 Some High School 2 High School 3 Some college 4 Associates Degree 5 Bachelors degree 6 Master's degree 7 Doctorate degree

Q8 1 Strongly Agree 2 Agree 3 Unsure 4 Disagree 5 Strongly Disagree

Q9 1 Credible 2 Need more info 3 Misleading 4 Unfamiliar

Q10 1 positive 2 slightly positive 3 no effect 4 negative 5 don't know

Q11

1 Strongly Agree 2 Agree 3 Unsure 4 Disagree 5 Strongly Disagree

Lea Ann's comments: I sorted the data in several ways, I could not find a significant correlation between the demographic information and the rest of the data. The file below is Gina's new file with some information/statistics. This was the outline I wrote out for a rationale of the data:


 * What are we proving?**
 * 2/26 exclusively buy green cleaning products and/or use natural cleaning products
 * 19/26 buy both green cleaning products and non-green and may use natural cleaning products
 * 5/26 neither buy green cleaning products nor use natural cleaning products
 * So the people not buying exclusively GCP or using NCP, why are they not?**
 * Cost
 * Advertising
 * Availability
 * Distrust
 * Negativity



I added some stuff. My feelings won't be hurt if you all decide to delete or modify what I put. I don't know about anyone else, but I have sat and looked at this data for hours at a time the past couple of nights and still don't know if I am on the right track or not. (SC)

**I'm with Sara, I have looked at the data until my eyes are crossed. I was able to find out some standard deviations but could not figure out how to do the bell curve and all - I was relieved to find out that we don't necessarily need standard deviation. LE**

NOTES:** Do American consumers who desire to practice a green lifestyle choose environmentally friendly cleaning products? **  GENERAL ANSWERS ANLYSIS - 88% buy commercial cleaning products - 12% do not buy commercial cleaning products - Of the 23 (88%) that buy commercial cleaning products, 70% purchase “green” and “non-green” commercial products (also could be 65% of total group) - Of the 23 (88%) that buy commercial products, 4% buy //only// green commercial products - 62% of respondents use natural cleaning products - 38% do not use natural cleaning products - 77% of respondents disagreed that they only buy cleaning products that say they are green on the label BY AGE - 18-29 age range- o 100% purchase a combo of green and non-green products; o 40% use natural cleaning products - 30-39 age range- o 86% use commercial products o 71% use green and non green products- 14% use non-green commercial o 71% use natural cleaning products - 40-59 age range o 92% use commercial products o 46% use green and non green commercial o 8% use only green commercial o 38% use only non green commercial o 62% use natural cleaners - 60 and above o 100% only use natural cleaners BY SEX - Females o 89% buy commercial products o 67% buy green and non green cleaning products o 6% buy only green commercial products o 61% use natural cleaning products - Males o 88% buy commercial products o 50% buy green and non green products o 63% use natural cleaning products - 73% agreed or strongly agreed that cost plays a factor in determining whether to buy green cleaning products - Trust or distrust in a company plays a role in determining whether to buy their cleaning products o 88% believe a company must not only say a product is green, they must prove it  o  50% say that companies that communicate about the environment make them want to buy their products - 50% of respondents were unsure whether they felt comfortable with the labels on green cleaning products - 46% are unsure if companies are accurately communicating info about their products and 39% believe companies are not accurately communicating information - Question on product label terms could be turned into a graph of answers. This section proves the greenwashing that not everyone is comfortable or knowledgeable about the terms used on green cleaning products. - This section could still be broken up by age or sex for further analysis?!?
 * Do factors such as cost or greenwashing contribute to decisions to purchase environmentally friendly cleaning products? **

<span style="color: rgb(255,0,255);">**I emailed everyone some graphics over the shopping experiences. Under #4 up top - should we compare our results with some of the results of the corn survey? LE** <span style="color: rgb(255,0,255);">