{"id":425,"date":"2019-07-04T08:30:56","date_gmt":"2019-07-04T08:30:56","guid":{"rendered":"https:\/\/www.qualif.dragnsurvey.com\/blog\/en\/?p=425"},"modified":"2020-11-23T14:16:22","modified_gmt":"2020-11-23T14:16:22","slug":"the-science-behind-the-survey","status":"publish","type":"post","link":"https:\/\/www.qualif.dragnsurvey.com\/blog\/en\/the-science-behind-the-survey\/","title":{"rendered":"
The Science Behind<\/span> The Survey<\/div>"},"content":{"rendered":"\n

Surveys have been in use for research purposes for nearly ninety years. It was in the early 1930\u2019s that Paul Lazarsfeld<\/a> first introduced them for research purposes. The first research through a survey was about how Radio affects political opinion in the United States. <\/p>\n\n\n\n

At first, and even now within some groups, the\naccuracy and validity of surveys\nwas questionable, yet the science behind them solidifies them as an excellent\nway to collect data for research. Since the 1940s, surveys have been used by researchers for\nscience, and by businesses to collect quantitative data.<\/p>\n\n\n\n

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>> Create your Online Poll<\/strong> with Drag\u2019n Survey<\/strong>, click here<\/a><\/strong><\/em><\/p>\n\n\n\n

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Using Scientific Ways To Build Good Surveys<\/u><\/h2>\n\n\n\n

The problem is that so many people see a survey as just a way to\ncollect lots of data from a set of questions. But in reality, if done correctly, a survey goes beyond the\ncollection of data in the responses, it tells a story and gives insights that\nyou can turn into strategies for future business operations.<\/p>\n\n\n\n

For a good survey, you have to use the best scientific\nprocesses to ensure that the research is conducted in a proper manner. There\nare certain processes that need to be completed in order for the surveys to have limited\nerror or bias in them. This relates not just to the questions that are asked,\nbut how the audience is selected and the data is collected.<\/p>\n\n\n\n

If done correctly, you can be sure that your surveys are valuable\nsources of information that are valid and reliable.<\/p>\n\n\n\n

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Ensuring Population Selection Is Fair<\/u><\/h2>\n\n\n\n

One of the key concerns is how you select the\npopulation. When testing the general population it is impractical to select the\nentire population, despite the fact that it is the best way for you to get the\nmost reliable data. You can\u2019t force everyone to take your survey and the costs\nto distribute and analyze the results from that survey would be more than your company\u2019s budget.<\/p>\n\n\n\n

At the same time, you\u2019ve got to get a large enough population, so you can get enough information to make the survey worthwhile, while selecting them in a pattern that ensures no bias. Therefore, you should be looking at ways you can randomly select participants<\/a> for your survey.<\/p>\n\n\n\n

You should also look at how many responses you\nneed in the survey.\nThe more you have, the better the accuracy, so if you can get between 250 and\n500 responses that would be a good start. To achieve this, however, you might\nneed to ask more people than that to ensure you have enough of a population\nsampled in your survey.<\/p>\n\n\n\n

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Ensuring The Validity Of Your Survey<\/u><\/h2>\n\n\n\n

You can be sure that your survey is valid if it\nanswers four key questions.<\/p>\n\n\n\n

The first question is known as \u2018face validity\u2019, it refers to\nwhether or not someone looking at the survey would regard the questions as\nreasonable to answer. You have to ensure that the questions are related to the\nfinal purpose of the data. If there are questions in there that aren\u2019t\nreasonable, then they need to be adjusted or removed.<\/p>\n\n\n\n

The next question is to look at the \u2018content\nvalidity\u2019. This specifically refers to whether the questions are related to the\nbroader issues that you\u2019re investigating. If they aren\u2019t directly related, then\nthe questions need to be about subjects that are directly related to the main\nsubject.<\/p>\n\n\n\n

The next part you need to confirm is whether\nthere is internal validity to your questions. This means do they imply an\noutcome that you\u2019re looking for. If they are too biased, i.e. you\u2019re asking\nleading questions, then you can suffer from significant bias in your survey.\nThis should be avoided. All questions need to not give the audience an\nimpression that you are looking for certain answers.<\/p>\n\n\n\n

For example, you can\u2019t say: Do you think boy\u2019s\nshoes are overpriced?<\/p>\n\n\n\n

Instead, you should ask: What do you think of\nthe price of boy\u2019s shoes?<\/p>\n\n\n\n

The next validity test is the external\nvalidity. This is where you\u2019re making sure that your questions are going to get\nthe results from the general population.<\/p>\n\n\n\n

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Testing The Reliability Of Your Surveys<\/u><\/h2>\n\n\n\n

The next part of the science of surveys is ensuring that\nthey are reliable. This means looking at your questions and checking that the\nsame responses would be presented even if the wordings or structure of the questionnaire were\nchanged.<\/p>\n\n\n\n

This is hard to achieve. But if you can ensure\nthat your questions are consistently written, then you can achieve this.<\/p>\n\n\n\n

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Conclusion<\/u><\/h2>\n\n\n\n

Surveys are sometimes not seen as being very\nscientific, however, that isn\u2019t the case. With the right approach, a survey cannot\njust be scientific, but also a useful tool for collecting information from a\npopulation. Online survey building tools are some of the best ways you build surveys and distribute\nthem, taking out many of the ways that surveys can be biased.<\/p>\n\n\n\n

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More about surveys:<\/strong>
10 Tricks For Using Surveys In Business Projects, click here<\/a>
It\u2019s Easy To Engage Your Target Market With Quizzes, click here<\/a>
How To Make Your Marketing Research So Much Easier, click here<\/a>
Surveys \u2013 It\u2019s All About The Real Time Analysis, click here<\/a>
How Entrepreneurs Benefit From Sending Out Surveys, click here<\/a><\/p>\n\n\n\n

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Surveys have been in use for research purposes for nearly ninety years. It was in the early 1930\u2019s that Paul Lazarsfeld first introduced them for research purposes. The first research through a survey was about how Radio affects political opinion in the United States. At first, and even now within some groups, the accuracy and… <\/p>\n

The Science Behind<\/span> The Survey<\/div>\n

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