Just as it is a good idea to hire a tutor when you are struggling with a certain subject, it is a good idea to get dissertation help when you are struggling with your dissertation. Because the dissertation is the single most important part of your academic career, it is important to spend a lot of time and effort on it. This time and effort can be maximized, however, with dissertation help. This is true because dissertation help will make sure that you are not wasting your time on things you should not be doing and that you are focusing in on what needs to be done. Additionally, dissertation help will steer you in the right direction at each and every turn. Thus, with dissertation help, you will not spend time agonizing what needs to be done—instead, dissertation help will tell you exactly what needs to be done.
Statistics Solutions is the country's leader in dissertation help and dissertation statistics. Contact Statistics Solutions today for a free 30-minute consultation.
And while dissertation help will tell you what needs to be done, dissertation help will also give you the necessary tools to do those tasks. Because writing a dissertation is an extremely lengthy endeavor (as you very well know!) dissertation help will assist you every step of the way. For this reason, dissertation help should be sought at the very beginning of the project as dissertation help can assist you from the very beginning of the project.
If you have already begun your project, dissertation help can also assist you as you continue to complete your lengthy dissertation. Dissertation help, then, can step in at any juncture and dissertation help can provide guidance and assistance to any student.
Dissertation help can assist you as much or as little as you need. Some students only need help with the editing of their dissertations while others need help with the statistics portion of the dissertation. Dissertation help can assist any and all students as the people who provide dissertation help are well versed in every single aspect of the dissertation.
Essentially, dissertation help provides the same feedback and advice as an advisor would provide you. If you are writing your dissertation and have an advisor, however, you probably already know that your advisor is not always available or willing to help with every single aspect of your dissertation. And, oftentimes you check-in with your advisor every so often and you realize that somewhere between your last visit and your current visit, a lot of mistakes have been made. In other words, an advisor points out the mistakes after you have made them and spent a lot of time and energy on that part of your dissertation.
Dissertation help will not let you make these mistakes however, because dissertation help will be there to guide you from the very beginning and dissertation help will make sure that you are following every single statistical procedure, rule and guideline appropriately. If you have already gotten to the statistics portion of your dissertation, you know how demanding, time consuming, and difficult the statistics portion is. Dissertation help is there to help you with this part of your dissertation and dissertation help will be there to assuage your worries about these statistical procedures. Dissertation help will also not let you misstep when it comes to the statistics portion. And as you know, a misstep in the statistics portion can set you back weeks, months and sometimes even years. For example, if you collect invalid data (let’s say for example you have the wrong sample size, or the data you collect is biased) you must start the statistics portion of your research and dissertation all over again. This is a huge delay that is also incredibly frustrating. With dissertation help, however, these delays will not happen as the people who offer dissertation help are experts in statistics. Additionally, dissertation help will make sure that you actually understand everything you need to know about statistics in order to make your dissertation successful.
There is no question that with the proper dissertation help, you will no-doubt finish your dissertation both on time and with great success.
Thursday, November 12, 2009
Monday, November 9, 2009
Research Designs
Research designs can be broadly classified into two categories, namely quasi experimental research designs and experimental research designs.
Statistics Solutions is the country's leader in research design and dissertation consulting. Contact Statistics Solutions today for a free 30-minute consultation.
The research designs are said to be quasi experimental research designs only if the subjects are randomly assigned to the groups and the statistical controls are used by the researcher.
Non equivalent control group research designs are one of the quasi experimental research designs. Cook and Campbell (1979) gave some non equivalent control group research designs.
One group posttest only research designs are also sometimes called one shot case studies. This research design is one of the non equivalent control group research designs. This type of research design lacks a pretest baseline, thus, it results in making invalid conclusions.
Posttest only research designs with non equivalent comparison group research designs are a kind of social science research design. In this kind of research design it is quite impossible for the researcher to draw valid conclusions about the treatment effects which are entirely based on posttest information.
Posttest only research designs that predict higher order interactions are used in the cases when the expectation of the treatment effect interrelates with the third variable. However, these types of research designs are confined to the possible challenges of validity due to certain factors.
One group pretest-posttest research designs are common but defective research designs in social science. These research designs are also known as proxy pretest-posttest research designs.
Two group pretest-posttest research designs using an untreated control group are a kind of classic experimental research design.
Double pretest research designs help in strengthening the pretest and posttest research designs. This kind of research design can be established only if there exists a particular trend in the data that is independent of the treatment effect and is measured by pretest.
Interrupted time series research designs are one of the quasi experimental research designs. Cook and Campbell (1979) list certain time series research designs.
Simple interrupted time series research designs are the expansion of one group pretest-posttest research designs into multiple pretests and posttests. These one group pretest-posttest research designs do not have the control group and therefore make it difficult for the researcher to assess other confounding factors.
Interrupted time series research designs with removed treatments are powerful research designs. These research designs are powerful because in these designs, the threat of certain unwanted factors are removed.
Interrupted time series research designs with multiple replications are simply an interrupted time series research design with removed treatments, except that the treatment and the removal in these research designs occurs multiple times.
Interrupted time series research designs with switching replications require a much higher level of control over the subjects. But is a stronger research design in ruling out the threats of invalid conclusions.
Interrupted time series research designs with non equivalent dependent variables have the goal of obtaining the dependent variables that are related to the dependents being studied. In these research designs, the related variables are not assumed to be correlated with the treatment variables.
A non experimental research design is not a kind of quasi experimental research design because these types of research designs do not use statistical controls.
The research designs are said to be non experimental only if there exists a systematic collection of the data with respect to interest of study that are not considered experimental (as there are no control groups or randomization of the subjects).
Some qualitative approaches are applied typically to such research designs. These include approaches like case study research designs, content analysis, participant observation, etc.
Statistics Solutions is the country's leader in research design and dissertation consulting. Contact Statistics Solutions today for a free 30-minute consultation.
The research designs are said to be quasi experimental research designs only if the subjects are randomly assigned to the groups and the statistical controls are used by the researcher.
Non equivalent control group research designs are one of the quasi experimental research designs. Cook and Campbell (1979) gave some non equivalent control group research designs.
One group posttest only research designs are also sometimes called one shot case studies. This research design is one of the non equivalent control group research designs. This type of research design lacks a pretest baseline, thus, it results in making invalid conclusions.
Posttest only research designs with non equivalent comparison group research designs are a kind of social science research design. In this kind of research design it is quite impossible for the researcher to draw valid conclusions about the treatment effects which are entirely based on posttest information.
Posttest only research designs that predict higher order interactions are used in the cases when the expectation of the treatment effect interrelates with the third variable. However, these types of research designs are confined to the possible challenges of validity due to certain factors.
One group pretest-posttest research designs are common but defective research designs in social science. These research designs are also known as proxy pretest-posttest research designs.
Two group pretest-posttest research designs using an untreated control group are a kind of classic experimental research design.
Double pretest research designs help in strengthening the pretest and posttest research designs. This kind of research design can be established only if there exists a particular trend in the data that is independent of the treatment effect and is measured by pretest.
Interrupted time series research designs are one of the quasi experimental research designs. Cook and Campbell (1979) list certain time series research designs.
Simple interrupted time series research designs are the expansion of one group pretest-posttest research designs into multiple pretests and posttests. These one group pretest-posttest research designs do not have the control group and therefore make it difficult for the researcher to assess other confounding factors.
Interrupted time series research designs with removed treatments are powerful research designs. These research designs are powerful because in these designs, the threat of certain unwanted factors are removed.
Interrupted time series research designs with multiple replications are simply an interrupted time series research design with removed treatments, except that the treatment and the removal in these research designs occurs multiple times.
Interrupted time series research designs with switching replications require a much higher level of control over the subjects. But is a stronger research design in ruling out the threats of invalid conclusions.
Interrupted time series research designs with non equivalent dependent variables have the goal of obtaining the dependent variables that are related to the dependents being studied. In these research designs, the related variables are not assumed to be correlated with the treatment variables.
A non experimental research design is not a kind of quasi experimental research design because these types of research designs do not use statistical controls.
The research designs are said to be non experimental only if there exists a systematic collection of the data with respect to interest of study that are not considered experimental (as there are no control groups or randomization of the subjects).
Some qualitative approaches are applied typically to such research designs. These include approaches like case study research designs, content analysis, participant observation, etc.
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