Tag: experiment

  • Longitudinal Research: Definition and Examples

    Longitudinal Research: Definition and Examples

    Longitudinal research is a research design that has unique characteristics. Longitudinal research is carried out in a relatively long time. The costs incurred are also often not small because it involves monitoring developments or changes that occur in the research sample.

    This post will attempt to provide an initial explanation of what longitudinal research is. This research design is often used in social research, such as sociology, psychology, public policy, and public health. The main characteristic of longitudinal research is that it uses data over a certain length of time.

    Definition of longitudinal research

    Longitudinal research is research that uses data over a long period of time . How long the length of time in question is very relative. However, the emphasis of longitudinal research is actually on the extension or extension of the survey conducted. The renewal is periodic.

    Thus, longitudinal research can also be understood as an extension of periodic survey research. At least, the survey was conducted twice with a predetermined time span from the beginning. This research data collection technique usually uses a questionnaire or structured interview. The researcher determines the time span between when the data is first taken from the sample, when the sample is taken again, until the third time and so on depending on how long the time span is.

    A more detailed explanation of longitudinal research usually leads to the classification of this research design into two types: panel studies and cohort studies. To understand the two types of designs, it’s a good idea to move on to the examples section below:

    Example of longitudinal research

    Understanding longitudinal research is actually quite easy. The research design is not much different from other studies such as surveys. For example, we will conduct research on the changing characteristics of youth violence in a city where brawls often occur.

    To conduct a longitudinal research, we first conduct a survey with a questionnaire and/or interview the youth selected as the sample. The identities of the participants or young people are recorded carefully and stored neatly in the archives. The first survey was conducted with variables that had been carefully arranged.

    As mentioned earlier, this research uses a clear timeframe. For example, every five years we go to the same young people to see changes or developments in their characteristics. There is no stipulation on the number of times participants are returned to be surveyed, but usually they are re-surveyed at least twice.

    The results of the second, third and so on surveys will show what changes have occurred to these young people who may not be classified as young people in the third survey and so on. With this research design, it is possible to know the changes in the characteristics of violence as the focus of the research.

    Difference between panel and cohort study

    We return to the difference between a panel study and a cohort study.

    Panel studies generally use data at the national level. The data collected can be in several different cases, such as organizations, households, schools, and so on.

    For example, a study on household economic development in Indonesia. Researchers of course not only survey the household income of the participants but also the number of family members, the existing public facilities where they live, monthly expenses, and so on. Within a certain period of time, the surveyed households were visited again to see their progress.

    While cohort studies have characteristics in individual surveys with the same characteristics. Often they are of the same generation or born in the same year or have had the same experience in the same time frame, such as getting married, getting a job, being fired, and so on.

    For example, we want to know the mental development of children born in 2000. First we want to examine how mentally they are when exposed to gadgets and the internet , then we also want to know their lives as teenagers, and so on.

    At this point, we hope that we have an initial picture of what longitudinal research is. The keywords that I can give here as material to remember are follow up . Longitudinal research has the characteristics of follow-up, which is to follow up research participants who have been previously surveyed or interviewed periodically at least once. The follow-up period was determined from the start of the study.

  • Social Research Methods

    Social Research Methods

    Social research method is a systematic way to study social phenomena. Social phenomena can be explained scientifically if the investigation process is carried out through the application of social research methods. Before going any further, it is necessary to first understand the meaning of research.

    What is research?

    Research  can simply be interpreted as scientific efforts made by researchers to capture a phenomenon. Therefore, the research in question is social research, so the phenomenon is a social phenomenon. Some social scientists describe research as follows:

    Soerjono Soekanto said research is a scientific activity that aims to reveal the truth as a manifestation of human desire to know what is actually being faced.

    Hill Way defines research as a study method that is applied carefully and in depth to reveal the facts of the problems that are believed to be able to solve these problems.

    Sutrisno Hadi said research is an effort to find, develop, and test the truth of knowledge by applying the scientific method.

    Saifuddin Anwar argues that research is a scientific endeavor with the aim of answering research problems. So that research cannot be done without problems and goals.

    Sanafiah Faisal said that research is an activity in studying a problem in a planned and systematic way to find scientifically valid and objective stone knowledge.

    Winarno Surachmad defines research as a scientific activity to accumulate knowledge from primary sources with the aim of finding general principles, as well as making estimates through generalizations outside the sample studied.

    Carter Good said that research is a path to progress and problem solving.

    Webster’s Dictionary defines research as an investigation of the process of inquiry in a science to obtain facts and principles carefully and systematically.

    From some of the definitions described above, we can catch several key phrases that describe what research is, such as: the application of the scientific method, the process of investigation, efforts to obtain objective facts, efforts to solve problems, and systematic efforts in investigation.

    Referring to the above definition, social understanding can be interpreted as an effort to investigate social phenomena using scientific methods in social science.

    What are the types of scientific methods in social research?

    We can understand the scientific method in the social sciences based on its types. There are at least two types of social research methods based on their approach: quantitative and qualitative. However, in its development, a third approach emerged, namely a combination of the two ( mixed method ). Here, we will briefly discuss quantitative and qualitative social research methods. The difference between quantitative and qualitative social research methods can be identified through the treatment of the data, the process of data collection, and its variants or types.

    Quantitative research methods

    Quantitative social research methods use numerical data or in the form of numbers. Even though using open interviews, quantitative methods convert narratives into numbers through a process of quantification or coding.

    The process in quantitative research begins with the creation of variables. For example, research on the effect of family monthly income on children’s education level. The family’s monthly income is a variable. Likewise, the level of education of children. The two variables are assumed to be related in the form of a hypothesis. For example, the hypothesis that the researcher has is, the higher the monthly family income, the higher the education level of the child. At this point, the researchers in addition to making variables also develop hypotheses.

    In the process of collecting data, quantitative research methods use instruments outside the researcher, such as questionnaires, survey forms, polling tools, and so on that have been arranged neatly before going out into the field. During the data collection process, researchers focused on the content of the research instruments that had been prepared. That is, there is no need or very little need for an element of subjectivity. The data contained in the research instrument is objective data.

    Research using quantitative methods emphasizes the element of objectivity. Respondents filled out forms or questionnaires distributed according to the instructions given. Some examples of quantitative research methods that are widely used for example, survey research, longitudinal research, cross-sectional research.

    Qualitative research methods

    Qualitative research methods use narrative data or words. The narratives obtained during the data collection process were interpreted by the researcher. However, data processing can also be done through coding. But not in the context of assessing, but looking at the pattern of the informants’ answers.

    In contrast to quantitative research, qualitative research begins by abandoning theoretical assumptions, although there are also qualitative studies that depart from theoretical assumptions. One obvious difference is that qualitative research does not require hypotheses in its research design. For example, research on the development of pop culture in Indonesia. Researchers do not need to write in their proposals a hypothesis, for example, the internet has become the main medium for shaping young people’s tastes for contemporary pop culture. Such assumptions may exist in the mind of the researcher, but not in the proposal

    In the process of collecting data, the methods that are commonly used are observation and interviews. Media analysis content can also be used in discourse analysis research. Through observation and interviews, researchers collected narrative data in the form of a collection of stories given by informants and conditions in the field. In the process of collecting data, the subjective element plays an important role because the researcher interprets the stories obtained during data collection.

    Qualitative research can use interview guides, diaries, or anything that can be used to record narratives in the field as research instruments. Another instrument owned by qualitative research is the researcher himself. The researcher doubles as an instrument, the narrative data collected will be interpreted by the researcher himself. Several kinds of research using qualitative methods, for example, case studies, ethnography, phenomenology.

    In more detail, read the Qualitative Method. From the description above, it can be explained the difference between the two methods. What are the differences?

    The difference between quantitative and qualitative methods:

    Quantitative Qualitative
    Numerical data Narrative data
    Prioritizing Objectivity Focus on Subjectivity
    Starting with a hypothesis No need for hypothesis
    Research subjects are called respondents Research subjects are called informants
    Researchers are not instruments Researchers as instruments
    The instrument is called a questionnaire The instrument is called an interview guide

    These differences are general differences. It should be noted that the differences are more accurately seen as trends. For example, in qualitative research, numerical data can also be used, but only as support. The tendency of qualitative research is the use of narrative data.