Friday, September 20, 2013

Example for Blog Posts



Looks cool – but looks can be deceiving!

In this article, called XBOX Visa Case, the benefit of Visa’s sponsorship of the XBOX live tournament is discussed. The data analyzed is reported in the text and represented through histograms. The histograms are interwoven with other tournament displays down the side of the article suggesting that they are not the focal point for readers. Rather, the represented data seems meant to offer the numerical support for the stated benefits of Visa’s sponsorship. Also, they lend bright colors to the article. I do think the histogram approach is appropriate for highlighting the findings, however, there are some issues with the displays as will be discussed below. Specifically, I am going to focus on the areas where histograms are used in addition to the text.

1. The section “Visa’s Success With XBOX LIVE Tournament Sponsorship” talks about the attitude towards Visa. It appears that data was collected from two groups, those in the age group from 18-34 and those in the age group from 35-49. From the text, we might assume that all respondents were mostly male. It is not clear how many respondents there were, nor how data from respondents outside of these ranges were handled. This brings me to some questions: Does minimalizing other age groups matter? Perhaps the rationale was that people under 18 cannot get a Visa, but what about 50 and over?

Additionally, the way attitudes were measured could be problematic. It appears that all respondents could choose whether they agreed or not to each type of attitude (i.e., cool, fund, innovative/cutting edge, for someone like me). An initial problem for me is that these terms do not necessarily represent “attitudes” for me. To further look into this, I went to Wikipedia and found this statement about the measurement of attitudes “An attitude can be defined as a positive or negative evaluation of people, objects, event, activities, ideas, or just about anything in your environment, but there is debate about precise definitions” (located at http://en.wikipedia.org/wiki/Attitude_%28psychology%29, accessed 09/17/2012). As such, it is not clear to me that “fun” is an appropriate attitude to assess (but you may think otherwise!). But looking beyond that point it does not surprise me that the numbers are so close (around 70-80%) for all items. Indeed, wouldn’t it seem likely that someone who said Visa was Cool would also say they were Fun, Innovative, and For Someone Like Me? Also, it makes me think of a bigger similarity in terms of people in these age groups; is it that the 35-49 year olds have the same attitudes/mentality as the younger crowd? Interesting!

 2. The section “Cementing Brand Loyalty” surveyed American adults that are current card holders, past card holders, and those that have never had a card. Two surveys were administered. The first was given before the tournament and the second was given after the tournament. When I look at the “attitudes” of respondents from pre and post surveys, there do seem to be differences. Moreover, it is reported in the graphic that a capital letter is used to indicate significant differences. Interestingly they use a confidence level of 90% which is less rigorous than typical (usually researchers use 95% confidence levels) so why the relaxation of this test? This is where I start to wonder if they are trying to make us believe there are differences when there really aren’t (especially given the sample sizes being large). Speaking of sample sizes, I note that 304 people filled out the pre-survey and 485 people filled out the post survey. This raises a red flag for me because it seems that people may have filled out one or the other – and indeed, because more people filled out the post-survey it is obvious that some of them did not fill out the pre-survey. What does this mean for the “change” in attitudes? Really, there should be some assurance that the same people were surveyed before and after in order for these results to be meaningful.

3. Next to the final section called “Tournament Sponsorship is a Winning Proposition” there is a histogram showing the “Perception of Visa Knowing Brand Sponsored Madden Tournament.” The sample used for this histogram appear to be (based on the sample size) the same sample used to complete the post survey for assessing brand loyalty. Overall, the measurement scale to assess people’s perception of Visa sponsorship seemed the most appropriate, valid, and reliable of all the scales used. This is because the five-point scale where the anchors are opposites with seemingly equal gradations between each middle label exists.  Great start! However, it is confusing as to how the data was compared. It seems that within each category there was a test of whether the proportion of respondents on that label differed. Weird. This might be meaningful but we have no idea how many people are represented in each stratification of the sample. For example, in the “Very Positive” bucket, 68% of current card holders chose this answer. But 68% of what total sample size?  This may or may not be important but worth knowing more (just wait till we look at the equations for the proportion tests), to consider it in more depth check out the book How to Lie with Statistics  which discusses how small samples may not be convincing so if sample size is not explicitly given – be careful.

Two other issues arise from this final graphic. My first issue is with the capital letters. What do they mean and why are they different/the same? Another issue is with the percentages. Why don’t they add up to 100%? Specifically, for current card holders 68%+19%+13%+1% = 101%; for Past card holders 39%+35%+25% = 99%; for never card holders 46%+29%+22%+3% = 100%. Even if the reason is rounding, there should be some acknowledgement of this fact.

In summary, there are many issues with this article that concern me. What’s more is that this document is promoting Visa by showcasing attitudes and perceptions about Visa’s sponsorship of the XBOX Live tournament. While it may be that legitimate findings were made that should promote Visa in the minds of customers new and old; the number of oversights in this article make me skeptical about the ethical use of data. Admittedly this article alone isn’t going to make me cancel my Visa – but it makes me (and hopefully you too!) more alert about these types of practices.

Reference
Microsoft Corporation (2008). XBOX Visa Case. Accessed online on 09/24/2012 at http://advertising.microsoft.com/research/xbox-visa.

Another Example from 2012




How much are you relying on Facebook for your daily news information? Now more and more people read news via social media such as Facebook and Twitter. According to eMarketer “ Facebook users spent an average of 423 minutes each on the site in December. By contrast, a PEJ analysis of Nielsen Net View data puts the average time on a top 25 news site at just under 12 minutes per month.” But the research confirms that Facebook and Twitter are now pathways to news, but their role may not be as large as some have suggested. The population that uses these networks for news at all is still relatively small. In other words, social media are additional paths to news, not replacements for more traditional ones.

http://stateofthemedia.org/files/2012/03/PEJ_12.03.12_Fig.2a_NewsOnAnyDevice-024.png 
From the graph, you can see over all just 9% of digital news consumers very often follow news recommendations from Facebook or from Twitter on any of the three digital devices. That compares with more than a third, 36%, who very often go directly to news organizations on one of their devices, 32% who get news from search very often, and 29% who turn to some sort of news organizer site or app.
http://stateofthemedia.org/files/2012/03/PEJ_12.03.12_Fig.1a_FacebookNews-01.png 
Between Twitter and Facebook, their function is different from each other. Facebook news users get more news from friends and. For Twitter users, though, the news links come from a more even mix of family and friends and news organizations. So how much are you relying on social media to access to news? 
We all read a lot of articles relevant to a survey or a research, but they never provide detail about the survey. That’s why sometimes we have some doubt about result. The unique part for this article is that it provides details about the research. We can learn how they make this survey and how effective it is. 
Here is the detail they provide about this survey.

About the Survey
The analysis in this report, What Facebook and Twitter Mean for News, is based on aggregated data from three telephone surveys conducted in January 2012 (Jan. 12-15, Jan. 19-22 and Jan. 26-29) with national samples of adults 18 years of age or older living in the continental United States. Interviews were conducted with a total of 3,016 adults (1,809 respondents were interviewed on a landline telephone, and 1,207 were interviewed on a cellphone, including 605 who had no landline telephone). The survey was conducted by interviewers at Princeton Data Source under the direction of Princeton Survey Research Associates International. A combination of landline and cellphone random digit dial samples were used; both samples were provided by Survey Sampling International. Interviews were conducted in English. Respondents in the landline sample were selected by randomly asking for the youngest adult person who was then at home. Interviews in the cellphone sample were conducted with the person who answered the phone, if that person was an adult 18 years of age or older.The combined landline and cellphone sample are weighted using an iterative technique that matches gender, age, education, race, Hispanic origin and region to parameters from the March 2011 Census Bureau’s Current Population Survey and population density to parameters from the Decennial Census. The sample also is weighted to match current patterns of telephone status, based on extrapolations from the 2011 National Health Interview Survey. The weighting procedure also accounts for the fact that respondents with both landline and cellphones have a greater probability of being included in the combined sample and adjusts for household size within the landline sample. Sampling errors and statistical tests of significance take into account the effect of weighting. The following table shows the sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey:
http://stateofthemedia.org/files/2012/03/sample-size-table1.png 

Another Example - TMBA student



We have all heard of it, the famous Gangnam style of Korean pop star PSY. The original video, (http://www.youtube.com/watch?v=9bZkp7q19f0), along with tons of parodies, have been roaming about social media sites since July.  Typically Youtube sensations go viral, have a tremendous amount of views and then slowly die down.  But Gangnam style is different as its popularity keeps going up!  It is so popular The Economist couldn’t resist writing an article about it.  http://www.economist.com/blogs/graphicdetail/2012/10/data-behind-gangnam-style?fsrc=scn/gp/wl/bl/riseandriseofpsy
According to The Economist, as of Oct. 24th the Youtube video had 532 million views. Take a look at this chart.
http://media.economist.com/sites/default/files/imagecache/290-width/images/2012/10/blogs/graphic-detail/20121027_woc338_0.png
To go along with the chart, the article also includes demographic information about the Gangnam Style audience.  The Economist states that the top demographic of fans are girls aged 13-17, then boys 13-24.  I like the line graph with area for the presentation of video views, but it would have been nice if the graph (or maybe a separate graph) would have included the views by gender, age, and possibly region.  The video is a hit world-wide, I feel like the article is doing a bit of a disservice by only showing us video views, visually.
The chart is great, but the really cool information is hidden in the text.  Did you know that the 532 million video views equals 36 million hours or 4100 continuous years of “phantom horseback-riding dance moves”?  If that doesn’t put Gangnam Style’s popularity in perspective I don’t know what will. I don’t want to know how many brain cells have died because of this. My reaction to the video: “Well I am never going to get those 4 minutes of my life back.”
I also wish there would have been some more information about the number of parodies that have followed.  The fact that so many people want to copy Gangnam Style also provides a great point about its popularity.  What are your favorite parodies?
What do you think of Gangnam Style?  Are you surprised by the numbers above? What information do you wish was included?
Fun Fact: Gangnam Style has its own Wikipedia page.  http://en.wikipedia.org/wiki/Gangnam_Style
Source
The Economist (2012).  The data behind Gangnam Style: The rise and rise or PSY. Accessed online on 11/04012 http://www.economist.com/blogs/graphicdetail/2012/10/data-behind-gangnam-style?fsrc=scn/gp/wl/bl/riseandriseofpsy

Example Post from 2012 - TMBA student



2012 Contribution
New Ethanol Product Fuels a Very Washington Battle
 I originally came across a WSJ article with minimal information about the new E15 fuel. In summary, the Environmental Protection Agency has been pushing a 15% Ethanol car fuel, which is a change from out current 10% Ethanol car fuel. AAA was fighting against the bill to approve E15, but lost.
 According to AAA, they conducted a survey, where 95% of respondents had not heard of E15 or the damage it could do to older cars. Currently, only 5% of cars (2001 or later models) on the roads can safely run on E15 fuel.
 There were many arguments in the comments of this article, mostly stemming from the environmental and ‘cheaper fuel’ debate. I don’t know what the correct solution is to our fuel consumption problem (personally, I take the bus everywhere), but more corn ethanol does not seem like a good solution to me.
 Billions of dollars go into GMO corn subsidies. Those who are excited about a cost break at the pump are not aware of the true cost of ethanol. Those who are excited about less environmental impact of ethanol compared to fossil fuels are not considering the impact of killing soil (and frankly humans) with toxic chemicals that are needed for a corn monoculture to survive. Some experts argue that when you compare net emissions from all factors, there is no reduction in greenhouse gases by using ethanol. Additionally, the process of turning corn into ethanol produces the byproduct of carbon dioxide. Is this not counter productive?! Not to mention, it will likely become far more expensive to fix broken hoses/pumps/etc… for E15 use.
 I went in search of more statistics and came across an article from Scientific American titled “For a Healthier Country, Overhaul Farm Subsidies”. It states that commodity crops receive $4.9 billion per year under the current Farm Bill. “Between 1985 and 2010 the price of beverages sweetened with high-fructose corn syrup dropped 24 percent.” Any internet search will tell you the health care costs associated with excess corn and corn-derivative consumption. This, in turn, adds additional taxes/costs to the consumer. The fact is, ethanol is not as powerful as gasoline. From a dollars perspective, ethanol will cost taxpayers more in fuel costs because it takes more ethanol to power cars.
 I admit that I am biased against corn, but we cannot deny there is more behind Ethanol than cheaper pump prices. Many lobbyists preach that Ethanol is a panacea to our fuel problems, but the true cost and downstream effects are far reaching.
 Resources