In research, a hypothesis is a suggested explanation of a phenomenon. A null hypothesis is a hypothesis which a researcher tries to disprove. Research methodology involves the researcher providing an alternative hypothesis, a research hypothesis , as an alternate way to explain the phenomenon.
The research hypothesis is often based on observations that evoke suspicion that the null hypothesis is not always correct. In the Stanley Milgram Experiment , the null hypothesis was that the personality determined whether a person would hurt another person, while the research hypothesis was that the role, instructions and orders were much more important in determining whether people would hurt others.
A variable is something that changes. It changes according to different factors. Some variables change easily, like the stock-exchange value, while other variables are almost constant, like the name of someone. Researchers are often seeking to measure variables. The variable can be a number, a name, or anything where the value can change.
An example of a variable is temperature. The temperature varies according to other variable and factors. You can measure different temperature inside and outside. If it is a sunny day, chances are that the temperature will be higher than if it's cloudy. Another thing that can make the temperature change is whether something has been done to manipulate the temperature, like lighting a fire in the chimney.
In research, you typically define variables according to what you're measuring. The independent variable is the variable which the researcher would like to measure the cause , while the dependent variable is the effect or assumed effect , dependent on the independent variable.
These variables are often stated in experimental research , in a hypothesis , e. In explorative research methodology, e. They might not be stated because the researcher does not have a clear idea yet on what is really going on. Confounding variables are variables with a significant effect on the dependent variable that the researcher failed to control or eliminate - sometimes because the researcher is not aware of the effect of the confounding variable.
The key is to identify possible confounding variables and somehow try to eliminate or control them. Operationalization is to take a fuzzy concept conceptual variables , such as ' helping behavior ', and try to measure it by specific observations, e. The selection of the research method is crucial for what conclusions you can make about a phenomenon.
It affects what you can say about the cause and factors influencing the phenomenon. It is also important to choose a research method which is within the limits of what the researcher can do.
Time, money, feasibility, ethics and availability to measure the phenomenon correctly are examples of issues constraining the research. Choosing the scientific measurements are also crucial for getting the correct conclusion. Some measurements might not reflect the real world, because they do not measure the phenomenon as it should. To test a hypothesis , quantitative research uses significance tests to determine which hypothesis is right.
The significance test can show whether the null hypothesis is more likely correct than the research hypothesis. Research methodology in a number of areas like social sciences depends heavily on significance tests. A significance test may even drive the research process in a whole new direction, based on the findings. The t-test also called the Student's T-Test is one of many statistical significance tests, which compares two supposedly equal sets of data to see if they really are alike or not.
The t-test helps the researcher conclude whether a hypothesis is supported or not. Drawing a conclusion is based on several factors of the research process, not just because the researcher got the expected result. It has to be based on the validity and reliability of the measurement, how good the measurement was to reflect the real world and what more could have affected the results.
Anyone should be able to check the observation and logic, to see if they also reach the same conclusions. Errors of the observations may stem from measurement-problems, misinterpretations, unlikely random events etc.
A common error is to think that correlation implies a causal relationship. This is not necessarily true. Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. Getting started with SPSS.
Kindle Edition File Size: Customers who viewed this item also viewed. A Handbook for Beginners. The beginners Manual 1st Ed. Share your thoughts with other customers. Write a product review. There was a problem filtering reviews right now. Please try again later. Nice book, covers maximum of syllabus of M. Tech EE but not all topics. However it clears the basic concepts of Research Techniques.
One person found this helpful. It is quite a good book. The calculations are done in systematic manner for every beginner. Great book, highly recommended. Good reference for students studying research methodology and useful for researchers. Useful book for mphil and PhD students. See all 15 reviews. Most recent customer reviews. Published 1 year ago.
Books shelved as research-methods: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches by John W. Creswell, The Craft of Research by.
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Online shopping from a great selection at Books Store. As with the first the Second Edition of Research Methodology is designed specifically for students with no previous experience or knowledge of research and research methodology. The practical step-by-step approach provides students with strong content and a conceptual framework. Discussions relating to concepts and theory range from simple to complex in their approach.4/5(17).
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