J.D. Power and Associates Reports:
J.D. Power and Associates Reports:
Follow the link and the graphs. I wont say much other then Mitsubushi rating is not so good.http://www.jdpa.com/news/releases/pr...asp?ID=2004055
I am not at all suprised at Mitsu posistion. But GM's overall posistion was better than I would have guessed (Good for them!!!) and Land Rover obviously needs to improve a bit I would say, GEEEZ.
Evolved Member
Joined: Aug 2002
Posts: 590
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From: Phoenix, AZ
These surveys are a vague indication at best. Among researchers surveys are still known to be more prone to sampling error and polarization (especially when the sample size is relatively small compared to the actual target populace)
In other words, don't believe everything you read.
In other words, don't believe everything you read.
Originally Posted by evomk8
These surveys are a vague indication at best. Among researchers surveys are still known to be more prone to sampling error and polarization (especially when the sample size is relatively small compared to the actual target populace)
In other words, don't believe everything you read.
In other words, don't believe everything you read.
Originally Posted by Guack007
Wow VW ranks worse then Mitsu
donour
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marketing saying "We scored just behind Mercedes and above Volvo in the last J.D. Powers & Associates survey"
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Joined: Aug 2002
Posts: 590
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From: Phoenix, AZ
Originally Posted by EVOTEXAS
Please present a more accurate assessment than what is provided.
Sampling error refers to excessive standard deviation from the sampling distribution. That means: the answers given by the sample may not accurately represent the experience of the general populace.
This problem is compounded by the fact that the sample size is very small compared to the sampling frame (in this case the returned surveys versus the total number of cars purchased). As an indication, 17.2 million cars and light trucks were sold in all of 2001. J.D. Powers received around 48,000 responses from original owners 2001 model year cars and light trucks.
Polarization can occur in mail surveys since they are considered self selective (they are not particularily random). This again affects how representative the survey is. Also, J.D. Powers mixes ratings for luxury brands with non-luxury brands, which skews results.
These are my personal feelings as to why surveys do not yield accurate responses when dealing with large smapling distributions.
Regardless, the general public will continue to blindly believe these ratings. There is, of course, some truth to them (i.e. Honda and Toyota do make good cars), but it is not the end all.
Originally Posted by evomk8
Certainly
Sampling error refers to excessive standard deviation from the sampling distribution. That means: the answers given by the sample may not accurately represent the experience of the general populace.
This problem is compounded by the fact that the sample size is very small compared to the sampling frame (in this case the returned surveys versus the total number of cars purchased). As an indication, 17.2 million cars and light trucks were sold in all of 2001. J.D. Powers received around 48,000 responses from original owners 2001 model year cars and light trucks.
Polarization can occur in mail surveys since they are considered self selective (they are not particularily random). This again affects how representative the survey is. Also, J.D. Powers mixes ratings for luxury brands with non-luxury brands, which skews results.
These are my personal feelings as to why surveys do not yield accurate responses when dealing with large smapling distributions.
Regardless, the general public will continue to blindly believe these ratings. There is, of course, some truth to them (i.e. Honda and Toyota do make good cars), but it is not the end all.
Sampling error refers to excessive standard deviation from the sampling distribution. That means: the answers given by the sample may not accurately represent the experience of the general populace.
This problem is compounded by the fact that the sample size is very small compared to the sampling frame (in this case the returned surveys versus the total number of cars purchased). As an indication, 17.2 million cars and light trucks were sold in all of 2001. J.D. Powers received around 48,000 responses from original owners 2001 model year cars and light trucks.
Polarization can occur in mail surveys since they are considered self selective (they are not particularily random). This again affects how representative the survey is. Also, J.D. Powers mixes ratings for luxury brands with non-luxury brands, which skews results.
These are my personal feelings as to why surveys do not yield accurate responses when dealing with large smapling distributions.
Regardless, the general public will continue to blindly believe these ratings. There is, of course, some truth to them (i.e. Honda and Toyota do make good cars), but it is not the end all.
You misunderstood. Please devise and implement a more accurate assesment of the market than JD Power has done. I do not need a longer paragraph explaining your idea. I know what your idea is. I read the same book some time ago. However, the world isn't idea(l). It's about money. Are you going to PAY for more accuracy? I didn't think so. JD Power's sample and method of administration is as good as it gets for the amount spent. Marketing isn't cheap and it is also somewhat generic in nature. Let me know your more accurate results when you get them. Thanks.
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Anyone know what happened to Hummer? They were usually last because they got so many complaints about milage. I'm not sure how you purchase a 6000 lb truck with 4wd and don't expect horrible milage, but apparantly there are more than a few people with more money than sence.
Originally Posted by evomk8
Certainly
Sampling error refers to excessive standard deviation from the sampling distribution. That means: the answers given by the sample may not accurately represent the experience of the general populace.
This problem is compounded by the fact that the sample size is very small compared to the sampling frame (in this case the returned surveys versus the total number of cars purchased). As an indication, 17.2 million cars and light trucks were sold in all of 2001. J.D. Powers received around 48,000 responses from original owners 2001 model year cars and light trucks.
Polarization can occur in mail surveys since they are considered self selective (they are not particularily random). This again affects how representative the survey is. Also, J.D. Powers mixes ratings for luxury brands with non-luxury brands, which skews results.
These are my personal feelings as to why surveys do not yield accurate responses when dealing with large smapling distributions.
Regardless, the general public will continue to blindly believe these ratings. There is, of course, some truth to them (i.e. Honda and Toyota do make good cars), but it is not the end all.
Sampling error refers to excessive standard deviation from the sampling distribution. That means: the answers given by the sample may not accurately represent the experience of the general populace.
This problem is compounded by the fact that the sample size is very small compared to the sampling frame (in this case the returned surveys versus the total number of cars purchased). As an indication, 17.2 million cars and light trucks were sold in all of 2001. J.D. Powers received around 48,000 responses from original owners 2001 model year cars and light trucks.
Polarization can occur in mail surveys since they are considered self selective (they are not particularily random). This again affects how representative the survey is. Also, J.D. Powers mixes ratings for luxury brands with non-luxury brands, which skews results.
These are my personal feelings as to why surveys do not yield accurate responses when dealing with large smapling distributions.
Regardless, the general public will continue to blindly believe these ratings. There is, of course, some truth to them (i.e. Honda and Toyota do make good cars), but it is not the end all.
Evolved Member
Joined: Feb 2004
Posts: 621
Likes: 0
From: Texas
this survey is crap, the car years dont match to us, the vehicles rated did help. not sports cars against sports cars. i will stick with car and driver or road and track customer reviews, at least you get all the back ground info about the survey and can make an intelligent decision
