# Quantitative Research Questionnaire

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1 Quantitative Research Questionnaire Surveys are used in practically all walks of life. Whether it is deciding what is for dinner or determining which Hollywood film will be produced next, questionnaires will likely be used. The terms survey and questionnaire are often used interchangeably, but there is a subtle difference. A questionnaire is the tool that is used to get the data, where survey usually refers to the analysis of the data. In this project, you will create and administer a questionnaire for some sort of issue. This may be (but not limited to) a social issue, a political issue, a community issue or a school issue. Before we scribble down questions and rush to hand out a questionnaire, there are nuances that must be learned. As opposed to asking random questions, a quantitative questionnaire will have questions specifically designed to yield numerical data which can be used to uncover evidence and draw conclusions. Why is quantitative questionnaire an important research method? Quantitative Research Questionnaires seek to ask questions specifically designed to yield numerical data. Questionnaires are particular helpful when trying to collect opinions of many people. Definition: quantitative - related to the measurement of an amount Through giving a questionnaire, the researcher creates a or size of something. sample. In order to achieve the best results, the sample should Usually objective in nature. be random. For example, asking every tenth person who enters a popular mall would achieve better results than asking your friends because the mall customers would likely have more diverse perspectives and include people of different ages, races, genders, and socioeconomic statuses. Ideally, this will create a representative sample. Definition: sample - a set of individuals or items selected from a population for analysis to estimate the whole population. A sample size typically relates to the amount of people that are given a questionnaire. If the sample size is larger then there is more confidence in the results. Collecting 1,000 questionnaires would yield more accurate results than collecting 3. Once collected, in a quantitative questionnaire the answers are converted to a numeric score. With this numerical data, statistical measures such as median, mean, and standard deviation and the margin of error can be used as evidence to draw conclusions.

2 Sampling Techniques A random sample is one in which every member of the population has an equal chance of being selected. A convenience sample is a sample that is chosen to be easy for the researcher. A stratified random sample, the population is divided into subgroups so that each member is in only one subgroup. Individuals are randomly selected from each subgroup. A census is the count or measure of the entire population. Below are examples of different sampling techniques for studies. Identify the sampling technique being used from the samples listed above. A. A journalist asks his family how they feel about water pollution. B. C. For quality assurance, every 10th engine part is selected from an assembly line and tested for durability. A study on attitudes about smoking is conducted at Otterbein College. The students are divided by class (freshmen, sophomore, junior and senior). Then a random sample is selected from each class and interviewed. D. A student asks 12 friends to participate in a psychology experiment. E. F. G. H. I. Law enforcement officials use a radar gun to measure the speed of every 5th vehicle on an interstate. A journalist interviews all 123 people after they leave a restaurant and asks them how confident they are that the food is safe. Twenty-five students are randomly selected from each grade level at a high school and surveyed about their study habits. Calling randomly generated telephone numbers, a study asked 1001 U.S. adults which medical conditions could be prevented by their diet. Soybeans are planted on a 48-acre field. The field is divided into one acre subplots. A sample of plants is taken from each subplot to estimate the harvest.

4 The Bad Question Game While asking a question seems easy, there are many ways this can go poorly. Below are examples of bad questions. For each example, try to determine the weakness in each question and offer a solution to improving. Example #1 Which subject do you enjoy the most at school? ( ) Math ( ) Science ( ) English ( ) World Language ( ) History ( ) Government ( ) Art / Music ( ) Football Practice ( ) Other Example #2 How many hours a day do you spend doing homework? ( ) 0 to 1 hour ( ) 120 to 180 minutes ( ) 4 to 5 hours ( ) more than 5 hours Example #3 Do you think that the new cafeteria lunch menu offers a better variety and assortment of healthy and fresh foods versus the old one? ( ) Yes ( ) No ( ) No Opinion Example #4 How much did you spend on groceries last year? ( ) \$0 - \$1,000 ( ) \$1,000 - \$2,000 ( ) \$2,000 - \$3,000 ( ) over \$3,000

5 Questionnaire Planning Guide In this project, you will put your question writing and data analysis skills to the ultimate test with a real survey. You will create and administer a questionnaire to a random sample. Your questionnaire may be about a social issue (like human trafficking), a political issue (like school funding), a community issue (like crime) or a school issue (like dress code). Select a topic that you feel passionate about and the results might be more meaningful. Select at least four questions (using different question types) and use this planning guide to outline your study. Once approved, you can create your questionnaire on a word processor or an online program like Survey Monkey or Google Forms. You will then analyze the survey results for each question AND write a report. Topic / Purpose of Study Potential Questions (Are they structured questions, rating questions or ranking questions?) Sample (Describe the size of your desired sample and who you would attempt to include) Time of Study (When do you expect to conduct the study? Will it be done over multiple days?) Logistics (How do you plan to get a random sample? Do you need to travel?)

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