Quantitative Research: Classic Design for Scientific Study & Research

The quantitative research is articulated research where measurement of subjects is done one or once before treatment and after treatment. Variable cooperation is realized through the authorization of articulated research while the casualty is authorized by the research study. This design is believed to be classic by scientist and the best to conduct scientific study and research. The experimental results are measured through statistical measurements and traditional mathematics which are referred to as true science. Hypothesis approves and disapproves standard formats that are used in the conduction of the experimental researches. Quasi is also known as resembling. Quasi research is a resemblance of true research because it has all the steps and qualities of true research, that's why it's referred to as resembling. Quasi research is done by manipulation of autonomous variables with nonrandom participant assignment to either conditions or orders of conditions. Quasi elimination research eliminates the direction of the problem through independent variable manipulation before dependent variable measurement. These experiments are both collateral and true research due to the manner they are conducted. The research is usually done in fields of difficulties or where certain feedback. The research is done to a group or groups of people where a certain treatment is applied and measured during the treatment, before or and after. This research is usually done in scientific fields, educational and social fields. There are several designs of quasi-research and all have different outcomes due to the styles and approaches as well as the type of statistical analysis conducted in each one of them. These are the quasi-research designs, they are; single group post-test only designs, nonequivalent control group posttest-only design, single-group time-series design, multiple-group time-series design, single group pretest/posttest design, and nonequivalent control group pretest/posttest design. The quasi-experimental designs are thought to be more practical than true researches.

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Nonequivalent Groups Design

In this research the conditions are authorized randomly to the participants which is called consume ration. I this design subjects are assigned randomly to conditions. There are several designs under this category; (a) pretest only non-equivalent group design; in this design there are two groups that are subjected to a condition with one group receiving a treatment with before and after testing while the other group is subjected to no treatment but there is a pretest and posttest to the subject group. In this case the research being done is to observe the improvement in both groups, whether the participants receiving the treatment improve and in what rate compared to the group that didn't receive the treatment, an example of this study is when alcohol addicts in a rehabilitation center are subjected to a certain anti-drug treatment and the other group is not subjected where both are given a pre and posttest to review the results. . (b) Interrupted time-series design with nonequivalent groups; a control group is added in to improve on the research. In this research measurements of the study are taken over a certain period of time and at intervals but this is after interest intervention in one nonequivalent group or two. A statistical analysis a certain private school might change the working time of the teachers and students and maximize on the limited time, the reduction may be of one hour. The research may be helped by administering the same design to another private school that doesn't change the working hours and use both schools as nonequivalent groups of control. Effectiveness is realized if improvement is achieved in the school that reduced the teaching working hours whereas the other school progress remained the same.

Experimental designs

In this research, there is an allocation of different conditions to the participants during an experiment. The participants are used differently in each of the conditions in independent variables. Mostly there is a division of participants in two groups, one is the control group and the experimental group where the change is only introduced to the experimental group. In this design, it's the work of the researcher to decide which sample to allocate to the IV level. An example of the allocation is; if there are twenty participants, the researcher decides if all the participants will take part in both conditions or whether the participants will be divided into two and each group participates in one condition. Mostly there are the three types of experimental designs that are commonly used; independent measures repeated measures and counterbalancing.

Independent measures

This is also referred to as between groups. The researchers use different groups in different of an independent variable. This is where each group is assigned to one condition which is different from the other. This allocation is done randomly to make sure that each group has equal chances of condition allocation.in the independent measure involves the usage of different groups in certain conditions. Maybe one group may be allocated two hours of exercise and the other group five hours of exercise. In this condition, there should be the same numbers of participants and the same allocated study time.

Repeated measures

Researchers also call these design "within groups". In this design, all the participant's take part in every condition of an independent variable. In this case, every experiment has the same amount of participants.

Counterbalancing

In this design, participants are put in two different conditions where there is an administration of an experiment in both conditions by the same group of people. An example is where people are talking in a crowded noisy place and the same people are left to converse in a silent place with no people. The two people are expected to understand each other better in the condition of the place where the place is silent and with no people. The order is controlled by the researchers in this group through counterbalancing. In this design two groups are split to a control group and an experimental group with control being group (A) and experimental being group (B).one group is assigned. This strategy eliminates order effects. Balancing of the results is achieved because the order of effects occurs in every participant because of the equality proposed in each group.