Statistical Analysis Consultant

If you are a PhD student working on your dissertation, you have no doubt experienced both the joy and the despair of the dissertation. The joy of the dissertation, of course, comes in knowing that you are working on something for which you are passionate and from moments when you know you are on the right track. The despairs of working on the dissertation, however, come from realizing that the dissertation will take a lot of time, realizing that you have made a mistake somewhere along the way, or simply feeling overwhelmed by the entire project. And in many cases, the despair that one feels from the dissertation outweighs the joys of working on the project. This, unfortunately, can make the dissertation feel never-ending and impossible to complete.

Fortunately, however, there is much help available to doctoral candidates who are working on their dissertation. This help comes in the form of a statistical analysis consultant and a statistical analysis consultant can ensure that a doctoral student remain on the right track, does not feel overwhelmed and that the student finishes the dissertation in a timely and productive manner.

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As the name implies, a statistical analysis consultant provides assistance, guidance, advice and help on all things relating to statistics. And because statistics play a major role in the dissertation, a statistical analysis consultant can walk a student through every single statistical procedure that needs to be done in order for the dissertation to be complete. A statistical analysis consultant, then, can help a student through the most difficult and challenging aspect of the dissertation.

Because the dissertation relies so heavily on statistics, a statistical analysis consultant can be one of the most valuable means of assistance available for PhD students. A statistical analysis consultant should be hired at the very beginning of the project as a statistical analysis consultant will be able to help the student more the earlier the statistical analysis consultant is hired. A statistical analysis consultant can even help a student as he or she chooses the topic that he or she wishes to study. This is true because a statistical analysis consultant can help narrow down the student’s topic. This narrowing down of the topic is vital to the dissertation as a topic that is too broad cannot be studied statistically. A statistical analysis consultant knows what can be studied statistically and therefore, with the help of a statistical analysis consultant, the student will choose the right topic.

A statistical analysis consultant will continue to help the student through every stage of the dissertation and will make sure that the student has reliable, accurate and precise statistical analysis for his or her dissertation. Thus, a statistical analysis consultant will help with every statistical aspect of the dissertation. This includes the statistical analysis consultant helping with the collection of data (a difficult task in and of itself—as it relies on accurate data collection methods, including choosing the correct sample number), interpreting the data and making sense of the data statistically, and applying that data to the actual dissertation. With the help of a statistical analysis consultant, the student will no longer struggle through the statistical portions of the dissertation and the student will no longer feel overwhelmed by all of the work that needs to be done on the dissertation. A statistical analysis consultant will carefully and conscientiously make sure that the student is doing everything correctly and will make sure that the student feels confident that he or she can succeed. Thus, a statistical analysis consultant will be able to replace the moments of despair with moments of joy as the student realizes that he or she is indeed able, ready and willing to complete the dissertation with success.

Discrete probability distribution

There are basically two types of random variables, called continuous and discrete random variables. We shall discuss the probability distribution of the discrete random variable. The discrete random variable is defined as the random variable that is countable in nature, like the number of heads, number of books, etc.

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The probability distribution that deals with this type of random variable is called the probability mass function (pmf).

There are various types of discrete probability distribution. They are as follows:

A random variable X is said to have a discrete probability distribution called the discrete uniform distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= 1/n , for x=1,2,3,….,n

0, otherwise.

A random variable X is said to have a discrete probability distribution called the Bernoulli distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= p^x (1-p)^1-x, for x=0,1.

0, otherwise.

A random variable X is said to have a discrete probability distribution called the Binomial distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= ⁿC_x p^x q^n-x, for x=0,1,2,….n; q=1-p.

0, otherwise.

A random variable X is said to have a discrete probability distribution called the Binomial distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= ⁿC_x p^x q^n-x, for x=0,1,2,….n; q=1-p.

0, otherwise.

A random variable X is said to have a discrete probability distribution called Poisson distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= e^-k k^x , for x=0,1,2,….; k>0

0, otherwise.

A random variable X is said to have a discrete probability distribution called the negative binomial distribution if and only if its probability mass function (pmf) is given by the following:

P(X=x)= ^x+r-1C_r-1 p^r q^x , for x=0,1,2,….

0, otherwise.

A random variable X is said to have a discrete probability distribution called the geometric distribution if and only if it is the following:

P(X=x)= q^x p , for x=0,1,2,….; 0

0, otherwise.

A random variable X is said to have a discrete probability distribution called the hyper geometric distribution with the parameters N, M and n if it assumes only non negative values with the probability mass function as the following:

P(X=k)= ^MC_k ^N-MC_n-k / ^NC_n, for k=0,1,2,….min(n,M).

0, otherwise.

Here, N is a positive integer. M is also a positive integer that does not exceed N and the positive integer n at most of N.

There is also the generalization of the discrete probability distribution called the binomial distribution. That generalized binomial distribution is called the multinomial distribution and is given in the following manner:

If x₁,x₂,…. x_k are k types of random variables, then they are said to have the discrete probability distribution as the following:

p(x₁,x₂,…. x_k)= (n!/ x₁!x₂!…. x_k!) p₁^x₁ p₂^x₂….. p_n^x_n , for k=0,1,2,….min(n,M).

A discrete random variable X is said to follow a discrete probability distribution called a generalized power series distribution if its probability mass function (pmf) is given by the following:

P(X=x)= a_x h^x/f(h); x=0,1,2…. ; a_x>=0

0, elsewhere.

It should also be noted that in this discrete probability distribution, f(h) is a generating function s.t:

f(h)= a_x h^x , h>=0

so that f(h) is positive, finite and differentiable and S is a non empty countable sub-set of non negative integers.

Analysis of Variance (ANOVA)

Analysis of variance (ANOVA) is a technique that is used to examine the differences among the means for two or more populations. In analysis of variance (ANOVA), the null hypothesis is always assumed as the fact that there is no significant difference in the means of the populations being examined.

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Analysis of variance (ANOVA) should always have an interval or a ratio scaled dependent variable and one or more categorical independent variables. In analysis of variance (ANOVA), the categorical independent variables are generally called factors. A particular combination of factor levels or categories is often designated as treatments in analysis of variance (ANOVA).
An analysis of variance (ANOVA) technique consists of only one categorical independent variable. This single factor is used in a technique that is called one way analysis of variance (ANOVA). On the other hand, if an analysis of variance (ANOVA) technique consists of two or more than two categorical independent variables or factors, then that technique is called n way analysis of variance (ANOVA). Here, the term ‘n’ denotes the number of factors in analysis of variance (ANOVA).

Thus, there are two techniques of analysis of variance (ANOVA). The technique called one way analysis of variance (ANOVA) can be used to understand the variation in the brand evaluation exposed to different types of commercials. One way analysis of variance (ANOVA) can also be used to understand the difference of attitudes among the retailers, wholesalers and agents towards the distribution policy of a particular firm.

So, in general, the technique of one way analysis of variance (ANOVA) is a useful technique to test the similarity of means at one time by usage of their respective variances. It is for this reason that analysis of variance (ANOVA) has its name.

The F test statistic used in analysis of variance (ANOVA) is nothing but the ratio of the sample variances. This test in analysis of variance (ANOVA) is basically done to test the statistical significance of the variability of the components. In other words, we can say that this test is a measure of variance that is used in analysis of variance (ANOVA).

The n-way of analysis of variance (ANOVA) can be used in understanding the variation in the consumer’s intentions to buy a particular brand of product with respect to different levels of price and different levels of distribution. In the field of psychology, the n-way of analysis of variance (ANOVA) can be used in understanding the affect of the consumption of a particular brand in terms of the educational level of a person and the age of that person. This technique of analysis of variance (ANOVA) also helps in understanding the interaction in the levels of advertisement and the price level of the brand.

There are major assumptions that the researcher must follow while conducting analysis of variance (ANOVA). In analysis of variance (ANOVA), the sample drawn from the population must be independent of each other. The sample drawn from the population is assumed to be a normal population in analysis of variance (ANOVA). The variances in analysis of variance (ANOVA) should always be homogeneous in nature.

The following are the steps involved in conducting analysis of variance (ANOVA):
The first and foremost step in analysis of variance (ANOVA) is to identify the dependent and the independent variables. The next step is to disintegrate the total variation in analysis of variance (ANOVA). The third step involves the measurement of the effects while conducting analysis of variance (ANOVA). The fourth step is to test the significance in the analysis of variance (ANOVA). And the last step is to interpret the results obtained after the analysis of variance (ANOVA).

T-test

The idea behind parametric tests is to provide the researcher with a statistical inference about the population by conducting statistically significant tests (like t-test) on the sample drawn from the population. The parametric test called t-test is based on a student’s t statistic. This statistic in t-test assumes that variables are drawn from the normal population. The mean of the population in this statistic of t-test has been assumed to be known. The distribution of t-test, called t-distribution, has a similar shape to that of a normal distribution, i.e. a bell shaped appearance.

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The parametric test called t-test is useful for testing those samples whose size is less than 30. The reason behind this is that if the size of the sample is more than 30, then the distribution of the t-test and the normal distribution will not be distinguishable.

The parametric test called t-test is used for conducting statistically significant tests in the testing of hypotheses. There are basically three types of t-tests: one sample t-test, two independent sample t-test and paired sample t-test.

In the case of a one sample t-test, if a researcher in the field of psychology is working on a study where he wants to make sure that at least 65% of students will pass the IQ test, he can use the t-test. So, one sample t-test will be used after the hypothesis has been formulated in this particular case. The parametric test called t-test is then calculated by selecting an appropriate formula of t-test. In this case, the appropriate formulae will be a t-test for a single mean. A selection of the level of significance is conducted to check the t-test of the null hypothesis. Usually, the researcher takes 0.05 as the appropriate level of significance while conducting the t-test. The level of significance in the t-test refers to the minimum probability that there will be a false rejection of the null hypothesis. Now, if the value calculated from the t-test is more than the tabulated value, then the null hypothesis gets rejected at a particular level of significance. Similarly, if the value calculated from the t-test is less than the tabulated value, then the null hypothesis gets accepted at a particular level of significance.

In two independent sample t-tests, two samples that are not at all related to each other are tested. The main idea behind two independent sample t-tests is to draw out a statistical inference about the comparison of two independent samples of data. For example, in the field of psychology, if the researcher wants to compare the IQ level of students living in region A and region B, then a two independent sample t-test is useful. The region A and the region B are not at all related to each other, i.e. they are independent of each other. The procedure for conducting this t-test is the same, except that now the sample number is double instead of single. Also, in the case of t-test for single mean and two independent sample t-tests, there are different formulas for the degree of freedom. The degree of freedom is referred to as the restriction that a researcher puts forward while conducting parametric tests, like t-test in this case.

The paired sample t-test refers to that type of sample in which the variables form paired categories. For example, if a researcher wants to compare male and female smokers, paired sample t-test comes into play if the variable is in following form: male chain smoker and female chain smoker, male occasional smoker and female occasional smoker, etc.

Reference:

Introduction to the theory of statistics: Mood A.M., Graybill F.A., Boes D.C

Dissertation Statistics Consulting

What could possibly be more frustrating than getting a dissertation rejected and having to start over? There are few things as disheartening as this, as students spend an immense amount of time working on their dissertations. All this work, time and energy, however, can be wasted without Dissertation Statistics Consulting.

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Dissertation Statistics Consulting provides students with the tools needed to finish their dissertation in a timely manner and Dissertation Statistics Consulting ensures students get their dissertations accepted and approved.

Dissertation Statistics Consulting is invaluable as it can help students in every step of their dissertation. This is even true at the very beginning stages of writing a dissertation (which is when a student should seek Dissertation Statistics Consulting, as Dissertation Statistics Consulting is invaluable at the beginning stages!) One might think that choosing a topic would be easy. After all, students have spent countless hours in school researching and analyzing throughout their student careers. And yet, because dissertations are due at the end of a student’s academic career, oftentimes, it is the most difficult to complete. This is true because it is specifically at this time when time slips away from students as they are studying for final exams, writing other papers, etc. Dissertation Statistics Consulting can change all of this for the student, however, as Dissertation Statistics Consulting can help students every step of the way.

One way in which Dissertation Statistics Consulting will help a student is by providing a time-line of what needs to be done and when it needs to be done. Thus, Dissertation Statistics Consulting will help students stay on track and adhere to deadlines as Dissertation Statistics Consulting helps students manage time. Additionally, time will not be wasted doing fruitless research as Dissertation Statistics Consulting will guide students with all of the research that needs to be done.

Dissertation Statistics Consulting will provide students with the information that they need to do the proper research. This is true because Dissertation Statistics Consulting offers invaluable guidance and advice on what procedures need to be followed in research. And once the research is finished and compiled, Dissertation Statistics Consulting will help students understand all of the results of that research. Many students do not have the required skills and expertise to make sense of all of the data and research acquired. This is by no means the fault of the student and this is where Dissertation Statistics Consulting is most effective! Dissertation Statistics Consulting makes every single aspect of statistics understandable and manageable and therefore Dissertation Statistics Consulting is indispensable. Dissertation Statistics Consulting is clearly an easy and effective way to manage all that needs to be done in order to complete a dissertation.

Because Dissertation Statistics Consulting can be such an invaluable tool, it is important for a student to do adequate research on who they choose to help them in their Dissertation Statistics Consulting. Dissertation Statistics Consulting must come from trained professionals who are experts in their fields. People who offer Dissertation Statistics Consulting must know everything there is to know about statistics, and people who offer Dissertation Statistics Consulting must be motivated individuals who want to help students achieve the very best success. Additionally, people who offer Dissertation Statistics Consulting must be well qualified in the fields of science and computers as there is much software that the people offering Dissertation Statistics Consulting must know how to use. Finally, the people offering Dissertation Statistics Consulting must be able to communicate well with whomever they are working. Any miscommunication can result in a weaker dissertation and thus, people who offer Dissertation Statistics Consulting must be able to communicate effectively.

Clearly Dissertation Statistics Consulting is a huge benefit for students. In order for this benefit to be maximized, it is important for students to take advantage of Dissertation Statistics Consulting from the very beginning. This will prevent that feeling of complete despair and frustration when a student must start over, perform new tasks and redo research. Much can be gained from Dissertation Statistics Consulting as students who have the help of Dissertation Statistics Consulting will perform with great success.

Multiple Regression

The process of multiple regression deals with the relationship of multiple types of independent variables (or predictor variables) and dependent variables (or criterion variables.) Basically, in the process of multiple regression, the dependent variables are modeled as a function of several independent variables to correspond to the coefficients of the multiple regression that comes along with the constant term. Since multiple regression consists of large numbers of observations, it is called multiple regression.

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The multiple regression equation explained above takes the following form:

y = b₁x₁ + b₂x₂ + ... + b_nx_n + c.

Here, b_i’s are the regression coefficients in Multiple regression (i=1,2…..n) which represents the value at which the criterion variable changes when the predictor variable changes simultaneously in Multiple regression.

For example, the test score of a student in an exam will be dependent on various factors, like his focus level while attending the class, his intake of food and sleep before an exam, etc. With the help of multiple regression, one can estimate the appropriate relationship among these factors.

Multiple regression in SPSS is done by selecting “Analyze” from the menu option. Then, from “Analyze,” select “regression” and from “regression,” select “Linear” and then “perform multiple regression.”

There are certain terminologies in multiple regression that help to better understand multiple regression.

The beta value in multiple regression is used in measuring how effectively the predictor variable influences the criterion variable. In multiple regression, it is measured in terms of standard deviation.

R in multiple regression is the measure of association between the observed value and the predicted value of the criterion variable. R Square or R² in multiple regression is the square of the measure of association which indicates the variability in the criterion variable. Adjusted R² in multiple regression takes the number of variables in the model and the number of data points in the model under consideration.

Assumptions

There should be proper specification of the model in multiple regression. This means that only relevant variables must be included in the multiple regression model. This means that in multiple regression, the model should be reliable.

Linearity must be assumed in multiple regression. This means that in multiple regression, the model should be linear in nature.

Normality must be assumed in multiple regression. This means that in multiple regression, variables must have a normal distribution.

Homoscedasticity must be assumed in multiple regression. This means that in multiple regression, the variability in errors must be the same across all levels.

Quantitative Analysis

Quantitative analysis involves the quantifying of data with the help of some form of statistical analysis. Quantitative analysis generally involves statistical techniques like significance testing, regression analysis, multivariate analysis, etc.

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Quantitative analysis is done by a researcher who has a strong knowledge of statistical and quantitative skills. Quantitative analysis is done in order to make a statistical inference about a particular sample of data drawn from a population. In other words, quantitative analysis is applied in those cases, where one is trying to make a statistical inference about the population after selecting the sample which represents the population as a whole. Quantitative analysis is directly related to the statistical inference. Data can be statistically inferred only after the quantitative analysis of that data has been preformed.

Quantitative analysis can be broadly classified into two categories: Estimation and Test of hypothesis.

In quantitative analysis, estimation generally involves the ideal properties of an estimator, which is used to estimate the data. In quantitative analysis the ideal estimator is the one that is unbiased, efficient, consistent and sufficient.

In quantitative analysis, the unbiased estimator is the one that gives unbiased results. In other words, one can say that an estimator in quantitative analysis is unbiased only if the mean of the sampling distribution of that statistic is equal to the parameter that is being estimated. So, while performing quantitative analysis, if an estimator gives a parameter along with some constant as an estimate, then that estimator is not unbiased. Similarly, if the estimator in quantitative analysis has other properties as well, then it is considered to be the best estimator.

In quantitative analysis, in order to obtain a sufficient estimator, there is one criterion called the Fisher-Neyman Factorization theorem. This theorem in quantitative analysis provides a convenient characterization of the sufficient estimator.

The second category of quantitative analysis is the test of the hypothesis. A test of hypothesis in quantitative analysis generally involves testing of the null and the alternative hypothesis. Null hypothesis in quantitative analysis is the one that states that the two samples are statistically significant. On the other hand, the alternative hypothesis in quantitative analysis is the complement of the null hypothesis.

There are significant tests, like t-test, f-test, z-test, chi square test, etc. that are referred to as quantitative techniques in quantitative analysis. The researcher, while performing the Quantitative analysis, might commit errors. The errors in quantitative analysis are basically categorized into two categories, namely Type I error and Type II error.

Type I error is the one that involves the researcher rejecting a correct sample during quantitative analysis. On the other hand, Type II error is the one that involves the researcher accepting an incorrect or false sample during quantitative analysis.

In the field of medicine and nursing, committing a Type II error during quantitative analysis is extremely dangerous. According to the definition of Type II error in quantitative analysis, if the researcher accepts a defective drug, then it can pose a serious health hazard problem.

In the field of psychology, quantitative techniques of the statistically significant tests like the t-test, f-test, z-test, chi square test, etc. are used. Suppose one wants to compare the literacy rate in region A and region B. After conducting a primary research over a given sample drawn from the region, the quantitative analysis will be followed. For this case, quantitative analysis will be performed in the form of a right tailed t-test. This is called a right tailed test because in this case, the alternative hypothesis is LRA>LRB in quantitative analysis. A t-test statistic in quantitative analysis will be obtained and if the calculated value is more than the tabulated value at the given level of significance, then the null hypothesis will be rejected. Otherwise it will be accepted.

APA Citing

APA citing refers to a standard method of documenting sources used within a text. APA stands for the American Psychological Association and APA citing is a way of formatting a paper so that others can see exactly where a student gets his or her research and information.

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Because APA citing is standard for dissertations and most academic institutions and fields require proper APA citing, APA citing becomes a large part of any dissertation. Though it is such a large part of the dissertation, APA citing usually goes on the “back burner” as students are more concerned with the actual research and analyses of their dissertation. Students, then, wait until the last minute to include proper APA citing in their paper, and this often leads to improper APA citing.

If a student were to actually pick up an APA citing book, he/she would see that the book itself is hundreds of pages long. While not all of these pages concern proper APA citing rules and guidelines, many of the chapters and pages are indeed devoted to the different rules, formats and regulations of APA citing. APA citing, in fact, has hundreds of rules and regulations. These rules and regulations govern the boy of the paper as well as the bibliography. Both sections of APA citing—the in-text APA citing and the out of text APA citing (or bibliography page) —are very important.

In-text APA citing deals with all formatting within the actual paper itself. Not only must outside sources be formatted according to proper APA citing rules, but tables, graphs and charts must also be formatted correctly. Further, all aspects of the dissertation must be in proper APA citing style—including the title page, the table of contents, the abstract, etc.

Out of text APA citing refers to the bibliography page. In this section, all sources must be cited properly, according to current APA citing rules. There are different rules, for example, for books, journal articles, newspaper articles, magazine articles, encyclopedia articles, etc. Additionally, there are constantly changing rules for APA citing when it comes to on-line sources and technology. These APA citing rules are constantly changing as technology is constantly changing.

Because proper APA citing contains so many rules and regulations, many seek help with their APA citing. Unfortunately however, they do not turn to the accurate APA citing manual, because again, it is lengthy as it is hundreds of pages. This manual can be intimidating and time-consuming, so students seeking APA citing help do not often use it. Instead, a quick Google-search results in a student finding software that claims to quickly turn his/her dissertation into a paper with “proper APA citing.” What students don’t realize, however, is that software cannot replace the actual text because APA citing also deals with what things are written. In other words, the APA citing reference has many chapters that are dedicated to grammar and clear, precise writing of ideas. APA citing software, however, only plugs in a formula (which can actually be wrong in many cases) and does not address the larger issues of the paper. APA citing software, then, is simply a “quick fix” to what often requires more help.

There are services, however, that offer proper APA citing help. These services are extremely well versed in all things relating to APA citing. Additionally, these services deal with larger issues in the dissertation, such as whether or not the research answers the research question, whether or not the argument is laid out in the best possible way, and whether or not the conclusions made actually make sense. Students who wait until the last minute or who do not want to be bogged down by dealing with APA citing should seek this help and assistance as it will no-doubt save them valuable time and energy.

Should I hire a dissertation consultant?

Should I hire a dissertation consultant?

If you are wondering whether or not you should hire a dissertation consultant, you should first read about what a dissertation consultant does. With this information, you can make a decision as to whether or not a dissertation consultant is right for you.

What is a dissertation consultant?

A dissertation consultant is a person that a doctoral student can hire to help him or her with his or her dissertation. A dissertation consultant provides one on one help to any student who is working on his or her dissertation, regardless of the field that he or she is working in. A dissertation consultant will also teach the student how to do the difficult science of statistics, and this includes teaching the student all of the steps that go along with acquiring accurate statistics, interpreting those statistics, and applying those statistics to the dissertation.

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Is it ethical to hire a dissertation consultant?

If a student is concerned about whether or not hiring a dissertation consultant is ethical, he or she should ask his or her advisor about a dissertation consultant. Additionally, the student should consider what a dissertation consultant does. A dissertation consultant does not do the work for the student. The dissertation consultant does not write the dissertation for the student. And, certainly, the dissertation consultant cannot perform the oral defense for the student. Thus, a dissertation consultant does not do the dissertation—the dissertation consultant simply helps the student through the lengthy, difficult and sometimes frustrating process of the dissertation.

What happens when I hire a dissertation consultant?

When you hire a dissertation consultant, that dissertation consultant will help you as you complete the dissertation. This help can come at the very beginning, the middle, or at the end of the project. The sooner the student hires a dissertation consultant, the more help the student can get from the dissertation consultant. Regardless, as soon as the student hires the dissertation consultant, the dissertation consultant and the student get to work on the dissertation—and they pick up exactly where the student has left off—be it in the proposal stage, the data collection stage, the proofreading stage, etc.

What is the fee for a dissertation consultant?

The fees for a dissertation consultant vary on the project because different projects require more time or less time, etc. The overall fee, however, is minimal considering how much help the dissertation consultant can provide the student. Because a dissertation can be time consuming and difficult, help on that dissertation can sometimes feel priceless. For what feels better than finishing the lengthy dissertation on-time and with success?

Are all dissertation consulting firms the same?

No. Just as any business or organization, dissertation consulting firms are not all the same. Therefore, it is important to hire a dissertation consultant who is well trained, a professional and who is able to help you. It can also be very beneficial to hire a dissertation consulting firm with a professional who has himself or herself received their doctoral degree. This can be helpful because someone who has received his or her doctoral degree knows exactly what the student is going through as he or she has also gone through the same things in the past. This understanding can be very helpful when working closely with someone, as they automatically know how much stress, pressure and anxiety their client feels—and they therefore can address all of those things in the sessions.

How do I find a dissertation consulting firm?

Contact Statistics Solutions today for a free 30-minute consultation on your dissertation research study. The professionals at Statistics Solutions will provide an analysis of your study and outline the services that they can offer to help you finish your dissertation and get your Ph.D.

APA Help

If you are struggling with the APA formatting of your dissertation you are certainly not alone! In fact, you are one of many who need APA help. Most students do not seek APA help until they are done with their dissertation and they realize that they actually need help with APA formatting. The thought of getting APA help does not usually occur to the student until the deadline for the dissertation is rapidly approaching. This is because many students don’t realize just how long it takes to format their dissertations in proper APA formatting. APA help, however, makes the laborious task of APA formatting very manageable, as APA help is staffed with experts on APA formatting.

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APA help is very easy to obtain and it is also very affordable. APA help can save students very valuable time as it can save students from having to deal with APA formatting. Additionally, APA help can save students from feeling stress over the fact that they have not used proper APA formatting. Many professors take for granted that students know how to use proper APA formatting, so they do not offer APA help to students readily. And while APA help is available from manuals and texts that explain APA formatting, it is certainly very time-consuming to try to get APA help on your own. Thus, APA help can be obtained by consulting firms who offer APA help at very reasonable rates.

Because APA formatting has so many rules, regulations and standards, APA help can be extremely beneficial for time-strapped students. APA help can also be beneficial for anyone looking to avoid the pain-staking task of researching APA formatting matters. And while some APA formatting issues can be easy to manage and do not require much APA help (such as punctuation and formula presentation, etc), many APA formatting questions and issues do require APA help. One such complexity of APA formatting includes writing without bias. APA consultants who offer APA help can certainly guide students with this issue. Though this might not seem like an APA formatting issue, it is something that APA formatting consultants can easily handle.

Another reason why APA help can be so invaluable is because APA formatting rules are changing all the time. Because technology is advancing at such a rapid pace, the way of citing electronic media is also changing. Here again, APA help can assist students as APA consultants who offer APA help spend their time keeping up-to-date accounts and records of all changes in APA formatting. Thus, a student who seeks APA help will be assured that the APA help they get will be up-to-date and current—all according to the most recent APA formatting changes.
There are literally hundreds of guidelines on APA formatting, and these guidelines can be difficult to navigate alone. APA help, however, offers students the flexibility to continue to work on their research and work while the APA help consultant deals with all aspects of APA formatting for the student. Thus, a good APA consultant will allow the student to finish their dissertation even faster. Additionally, APA help will ensure that the dissertation is accepted as dissertations not written in proper APA formatting are not acceptable.

It is important to discuss the cost-benefit of APA help. First, APA help reduces the stress that a student feels about finishing his/her dissertation. Because researching, analyzing and writing about a topic is difficult enough, students do not like to have to deal with the task of sorting-out APA formatting. Thus, APA help can reduce the stress that a student feels about needing proper APA formatting. Second, APA help can save much time for the student and this is especially important because most students working on their dissertations do not have the time to deal with what seems to be minor details (though in reality, APA formatting is by no means minor! APA formatting is just the opposite—it is essential!). Finally, APA help is affordable and dependable. Because APA formatting is so important and because APA help is available, there is no reason for a student not to consider acquiring APA help for his/her dissertation.