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Survey Questions

Chapter 7 is about the other major type of research which is quantitative – we covered qualitative research methods last week. It will be helpful to compare and contrast the two methods. Chapter 8 is about survey research, which can be qualitative or quantitative, and includes material on appropriate topics for survey research as well as how to develop a survey. sample below: Chapter 7 pp.112-114 Developing a Testable Hypothesis Generally defined as testable statements that predict a relationship between at least two variables When researchers are developing a research hypothesis, they turn to existing literature (p.112). A researcher should not develop hypothesis statements based on a guess or opinion, he/she should be using what other researchers have found (qualitative or quantitative). Here are a few examples of testable hypothesis: If the water faucet is opened, then the amount of water flowing will increase. If fenders are placed on a bicycle, then the user will stay dry when going through puddles. If a prisoner learns a work skill while in jail, then he/she is less likely to commit a crime when they’re released. An independent variable that researchers can write a hypothesis could be “couples who fight over finances are more likely to divorce.” What is Descriptive Research? Description is used in qualitative research or inductive research to help the reader understand the lived experience of people experiencing a phenomenon (p.113). Description is used to convey the feeling of being there and to help the reader understand the experience from the other person’s own perspective. Nonstandardized methods- informal methods of collecting data, such as the use of broad and open-ended questions or a journal or field notes. Descriptive research is used to obtain information concerning the current status of a phenomenon in order to describe variables or conditions in a situation (p.113). Quantitative research methods handle descriptive characteristics about population or phenomenon being studied. (May include methods of data collection, such as surveys). Correlation versus Causation When you are conducting quantitative research, you are attempting to determine whether any relationship exists between variables, and if so, what kind. The relationship can be causal (one variable is causing a change in the other), or it can be correlational relationship, in which two or more variables are linked. A causal relationship requires that three conditions be met: The independent variable must come before the dependent variable. The independent and dependent variables must be correlated. The impact of another variable cannot explain the correlation between the independent and dependent variables. It’s important for researchers that are trying to develop a hypothesis turn to other literature that exists because they could expound on what they find and then can have supporting qualitative or quantitative research that will highlight the hypothesis. I like the causal relationship because it seems that you must have a “cause and effect” relationship between variables in order for the relationship to bond together, for example if you touch a hot stove, then you will get burned. use Reference Faulkner, S. S., & Faulkner, C. A. (2014). Research Methods for Social Workers A Practice-Based Approach (Second). Chicago, Illinois: Lyceum Books, Inc. Survey Questions Some basic mistakes are made when developing survey question: The asking of too many demographic questions Asking unclear questions Vagueness Too difficult Acronyms and jargon Multiple questions within one question Language like never and always use rarely or seldom instead Biased language(negative wording of questions) Ex.8.1 shows an example of an Alumni Survey (131). This survey only touches on the most relevant demographic questions for the survey. Also the survey list the answer choices under the likert scale. The likert scales offers the choices ranging from “strongly agree” to “strongly disagree” (Faulkner&Faulkner;, pg 130). Pilot Testing According to the text, pilot testing is a good idea (135). This is the gathering of several people who does not have a clue about what you are trying to measure to finish your survey before releasing it to the public. This is helpful because it gives you a chance to make changes or adjustments before the survey is distributed to the large-scale. Although there are many different methods for distributing a survey, the most common and convenient ways are: “telephone surveys, snail mail, internet and face-to-face” (135). Summary: Common basic mistakes are made when developing survey questions. Asking too many demographic questions can make the researcher seem too intrusive. Also, we have to be careful with the wording of our questions as well as the language. After the survey has been put together, it would benefit the researcher to pilot test by gathering a small group of people who have no idea about what’s being measured. Testing the survey on them will allow the researcher to make adjustments and changes before releasing the survey to the public. Works Cited: Faulkner, S. S, and Faulkner, C. A.. (2014). Research Methods for Social Workers: A Practice-Based Approach (2nd ed). Oxford University Press.
Chapter 7 is about the other major type of research which is quantitative – we covered qualitative research methods last week. It will be helpful to compare and contrast the two methods. Chapter 8 is about survey research, which can be qualitative or quantitative, and includes material on appropriate topics for survey research as well as how to develop a survey. sample below: Chapter 7 pp.
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42175
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September 14, 2016
COMPLETED ON
September 15, 2016
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