The three general types are cross-sectional, successive independent samples, and longitudinal studies. In cross-sectional studies, a sample or samples is drawn from the relevant population and studied once. A successive independent samples design draws multiple random samples from a population at one or more times.
Such studies cannot, therefore, identify the causes of change over time necessarily. For successive independent samples designs to be effective, the samples must be drawn from the same population, and must be equally representative of it. If the samples are not comparable, the changes between samples may be due to demographic characteristics rather than time.
In addition, the questions must be asked in the same way so that responses can be compared directly. Longitudinal studies take measure of the same random sample at multiple time points.
Longitudinal studies are the easiest way to assess the effect of a naturally occurring event, such as divorce that cannot be tested experimentally. However, longitudinal studies are both expensive and difficult to do. This attrition of participants is not random, so samples can become less representative with successive assessments. To account for this, a researcher can compare the respondents who left the survey to those that did not, to see if they are statistically different populations.
Respondents may also try to be self-consistent in spite of changes to survey answers. Questionnaires are the most commonly used tool in survey research.
However, the results of a particular survey are worthless if the questionnaire is written inadequately. A variable category that is often measured in survey research are demographic variables, which are used to depict the characteristics of the people surveyed in the sample.
Reliable measures of self-report are defined by their consistency. It is important to note that there is evidence to suggest that self-report measures tend to be less accurate and reliable than alternative methods of assessing data e. Six steps can be employed to construct a questionnaire that will produce reliable and valid results. The way that a question is phrased can have a large impact on how a research participant will answer the question. A respondent's answer to an open-ended question can be coded into a response scale afterwards,  or analysed using more qualitative methods.
Survey researchers should carefully construct the order of questions in a questionnaire. The following ways have been recommended for reducing nonresponse  in telephone and face-to-face surveys: Brevity is also often cited as increasing response rate. A literature review found mixed evidence to support this claim for both written and verbal surveys, concluding that other factors may often be more important.
Survey methodologists have devoted much effort to determining the extent to which interviewee responses are affected by physical characteristics of the interviewer. Main interviewer traits that have been demonstrated to influence survey responses are race,  gender,  and relative body weight BMI. Hence, race of interviewer has been shown to affect responses to measures regarding racial attitudes,  interviewer sex responses to questions involving gender issues,  and interviewer BMI answers to eating and dieting-related questions.
The explanation typically provided for interviewer effects is social desirability bias: Interviewer effects are one example survey response effects. From Wikipedia, the free encyclopedia. For the Statistics Canada publication, see Survey Methodology. Research methods in psychology 9th ed. Hand , Advising on Research Methods: A consultant's companion pp. Johannes van Kessel Publishing. The total design method.
Experiments in telephone introductions". Kwantitatieve Methoden , 22, 41— Proceedings of the Section on Survey Research Methods. Evidence from the multi-city study of urban inequality". Findings from a household survey in Mexico". International Journal of Public Opinion Research.
Evidence from a national Dutch face-to-face survey and a postal follow-up". International Journal of Public Health. Categorical data Contingency table Level of measurement Descriptive statistics Exploratory data analysis Multivariate statistics Psychometrics Statistical inference Statistical models Graphical Log-linear Structural. Audience measurement Demography Market research Opinion poll Public opinion.
Mean arithmetic geometric harmonic Median Mode. Central limit theorem Moments Skewness Kurtosis L-moments. Grouped data Frequency distribution Contingency table. This helps them focus the research process so that they can draw conclusions reflecting the real world in the best possible way.
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.
The essence of survey method can be explained as “questioning individuals on a topic or topics and then describing their responses” (Jackson, , p).
This third definition of survey is a specific type of survey research. Here are the three specific techniques of survey research: Questionnaires - a series of written questions a participant answers.
Survey Research Survey research is one of the most important areas of measurement in applied social research. The broad area of survey research encompasses any measurement procedures that involve asking questions of respondents. Survey research is a commonly used method of collecting information about a population of interest. There are many different types of surveys, several ways to administer them, and many methods .
In survey research, independent and dependent variables are used to define the scope of study, but cannot be explicitly controlled by the researcher. Before conducting the survey, Fundamentals of Survey Research Methodology. The different types of surveys are mainly classified into the survey methods according to instrumentation and according to the span of time involved in conducting the survey, Home Research.