Which type of research design would provide information about age change?

Researchers use many different designs and methods to study human development. The three most popular designs are

• Cross‐sectional: a number of different‐age individuals with the same trait or characteristic of interest are studied at a single time.

• Longitudinal: the same individuals are studied repeatedly over a specified period of time.

• Cross‐sequential: individuals in a cross‐sectional sample are tested more than once over a specified period of time.

Seven popular life‐span research methods include the case study, survey, observational, correlational, experimental, cross‐cultural, and participant observation methods.

Case-study research

In case‐study research, an investigator studies an individual who has a rare or unusual condition or who has responded favorably to a new treatment. Case studies are typically clinical in scope. The investi‐ gator—often a physician, psychologist, social worker, counselor, or educator—interviews the subject, obtains background records, and administers questionnaires to acquire quantifiable data on the subject. A comprehensive case study can last months or years. Throughout the duration of the case study, the researcher documents the condition, treatment, and effects in relation to each patient and summarizes all of this information in individual case reports. A typical case report follows this format:

1. Presenting problem: The condition or problem.

2. Case history: A brief social history pertinent to the client's presenting problem.

3. Treatment: A description of the treatment process, including details from each session.

4. Results of treatment: A description of treatment effects, if any.

5. Follow‐up: A description of the long‐term treatment effects, if any.

Although case studies are valuable for obtaining useful information about individuals and rare conditions, they tend to focus on the pathology—the characteristics and effects of a particular disease—and are therefore applicable only to individuals with similar conditions rather than to the general population.

Survey research

Survey research involves interviewing or administering questionnaires or written surveys to large numbers of people. The investigator analyzes the data obtained from surveys to learn about similarities, differences, and trends, and then makes predictions about the population being studied. Advantages of survey research include the great amount of information the researcher can obtain from the large number of respondents, the convenience for respondents of taking a written survey, and the low cost of acquiring and processing data. Mail‐in surveys have the added advantage of ensuring anonymity and thus prompting respondents to answer questions truthfully.

Disadvantages of survey research include volunteer bias, interviewer bias, and distortion. Volunteer bias occurs when a sample of volunteers is not representative of the general population. Subjects who are willing to talk about certain topics may answer surveys differently than those who are not. Interviewer bias occurs when an interviewer's expectations or insignificant gestures (such as frowning or smiling) inadvertently influence a subject's responses one way or the other. Distortion occurs when a subject does not respond honestly to questions.

Observational research

Because distortion can be a serious limitation of survey research, scientists may choose to observe subjects' behavior directly through observational research. Observational research takes place in either a laboratory (laboratory observation) or a natural setting (naturalistic observation). In either research method, observers record participants' behavior within an environment. Observational research reduces the possibility of subjects giving misleading accounts of their experiences, not taking the study seriously, being unable to remember details, or feeling too embarrassed to disclose everything that happened.

Observational research has limitations, however. Volunteer bias is common, because volunteers may not be representative of the general public. Individuals who agree to be observed and monitored may function differently than respondents who do not want to be observed and monitored. Individuals may also function differently in a laboratory setting than respondents who are observed in more‐natural settings.

Correlational research

A developmentalist may also conduct correlational research. A correlation is a relationship between two variables (factors that change). Variables may include characteristics, attitudes, behaviors, or events. The goal of correlational research is to determine whether or not a relationship exists between two variables, and if a relationship does exist, the number of commonalities in that relationship. A researcher may use case‐study methods, surveys, interviews, and observational research to discover correlations. Correlations are either positive (to +1.0), negative (to–1.0), or nonexistent (0.0). In a positive correlation, the values of the variables increase or decrease (co‐vary) together. In a negative correlation, one variable increases as the other variable decreases. In a nonexistent correlation, there is no relationship between variables.

Although correlation is commonly confused with causation, correlational data does not indicate a cause‐and‐effect relationship. When a correlation is present, changes in the value of one variable reflect changes in the value of the other. The correlation does not imply that one variable causes the other variable, only that both variables are somehow related. To study the effects that variables have on each other, an investigator must conduct an experiment.

Experimental research

Experimental research is concerned with how and why something happens. The goal of experimental research is to test the effect that an independent variable, which the scientist manipulates, has on a dependent variable, which the scientist observes. In other words, experimental research leads to conclusions regarding causation.

A number of factors can affect the outcome of any type of experimental research. For instance, investigators face the challenge of finding samples that are random and representative of the population being studied. Additionally, researchers must guard against experimenter bias, in which their expectations about what should or should not happen in the study sway the results. Researchers should also control extraneous variables, such as room temperature or noise level, that may interfere with the results of the experiment. Only when experimenters carefully control extraneous variables can they draw valid conclusions about the effects of specific variables on other variables.

Cross-cultural research

Western cultural standards do not necessarily apply to other societies, and what may be normal or acceptable for one group may be abnormal or unacceptable for another group. Sensitivity to others' norms, folkways, values, mores, attitudes, customs, and practices necessitates knowledge of other societies and cultures. Developmentalists may conduct cross‐cultural research, research designed to reveal variations existing across different groups of people. Most cross‐cultural research involves survey, direct observation, and participant observation methods of research. The challenge of this type of research is to avoid experimenter bias and the tendency to compare dissimilar characteristics as if they were somehow related.

Participant observation

Participant observation requires an observer to become a member of his or her subjects' community. An advantage of this method of research is the opportunity to study what actually occurs within a community and then consider that information within the political, economic, social, and religious systems of that community. A disadvantage of participant observation is the problem of subjects altering their behavior because, as subjects of the observation, the participants know that they are being watched.

Which design is best for studying age related changes?

What research design is used when people of different ages?

What research design is best suited for aging developmental research?

Which research design would allow them to measure changes with age and within individuals over time?