Dissertation Help

In order to create a good academic writing you should make a thorough research on the topic. The nature of researches can be different and it is impossible to describe all of them. So, in this article I want to share my little marketing researches experience with you. In fact, I am not going to disclose its essence, just the steps which can help you to create your own marketing research.

1. First of all, you should know that marketing research covers a great variety of different activities. Very often students confuse marketing research with market research. So, remember: marketing research is a more general process which touches upon great number of marketing problems.
2. In your marketing research you should firstly define the problem you are going to disclose. It is possible to choose such marketing research problem as appearance of some new product.
• Your marketing research can be of three types: exploratory, causal or descriptive. It is your decision what marketing research type you choose.
• Your next step will be thinking over the literature sources for your marketing researches. You should study all possible places where the information can be found out.
• Do not forget to create a marketing research plan according to which you are going to work. You should set the time frames in order to make your marketing research on time.
• Well, you have gathered necessary data and now it is high time to analyze it. Try to be clear and laconic. You should remember that your marketing research has a kind of general character but it does not mean that you should present some general information. You should write concrete facts about general things.
• Pay attention to such part of marketing research as editing. It is necessary to check all possible mistakes in order to present a perfect marketing research.

So, the main information was given. Try to use it in an appropriate way and good luck to you!

SPSS

SPSS is a popular statistical analysis software package, which stands for Statistical Package for Social Sciences. It is one of the more popular tools in contemporary statistical analysis due to its easy to use Graphical user interface, although it offers a wide range of capabilities ranging from add-on modules to add-on packages such as Amos and Clementine. SPSS was first developed in 1968 and has since been used extensively in industry and university research applications.

SPSS, like many other tools out there such as E-views, Stata, MStat and SAS, offers the basic capability of descriptive statistics, regression and other related tools in the base package, to serve its most common applications. In addition, through various add on modules, it can cater to the more advanced needs of high end multivariate analysis, neural networks, conjoint analysis, etc. it offers the convenience of automating several tasks such as data cleansing and organizing, along with creating charts and other types of output. It also allows for automation of tasks such as data coding, missing values analysis and import/export (from tools such as excel).

The SPSS screen offers two viewing modes; one with the data entry screen where entered or imported data are displayed. The labels row, unlike in excel, is displayed separately as a grayed out area. The editing of the variables themselves takes place in the other display called the ‘Variable View’. has two view options one is data view where data entry occur. The second view is variable view where we can see the properties of the variable(s), including name, variable type (string, date, numeric, etc.), variable length (width of the column), label, alignment, etc. as an analyst, one of the key advantages of SPSS is the ability to simply open an excel file in its own screen and edit information, without having to go through a complex import/export process. It also has the inherent windows properties such as cut, copy, paste, find, replace, etc., which makes it easy for a non-SPSS user to gain familiarity with the system, particularly if one has experience using MS Office tools.

The key selling point of SPSS is its expansive data analysis options. A wide range of data analysis functions can be performed using SPSS, including hypothesis testing, frequencies, crosstabs, T-test, ANOVA, correlation, regression analysis (linear as well nonlinear), cluster analysis, factor analysis, discriminant analysis, missing value analysis, time series forecasting etc. however, what makes it even better is how these functions are automated to the point that one need simply select the relevant variables and corresponding applications for output and analysis (where necessary), and SPSS does the rest. In the context of SPSS, it’s important to mention that using AMOS and Clementine, two of its’ most popular add-on packages (not modules), one can access the high end functionality within SPSS. While Amos is used for Structured Equation modeling and Path analysis, Clementine is a high end data mining package. Amos is probably one of the simplest and easiest to use Path analysis softwares available. Each chain of variables can be dynamically ‘graphed’ without going into programming, with the results available near-on-the-fly. Clementine offers

There are several other packages in the market which are strong competition to SPSS in terms of functionality. Despite being a powerful software, SPSS is not without its shortcomings. For instance, when it comes to time series analysis, SPSS offers limited capabilities. Similarly, MATLAB is a powerful mathematical package used where programming needs are extensive.

SPSS vs. SAS

SAS is another leading statistical package with extensive programming capabilities. Unlike SPSS, SAS does not offer the easy to use point-and-click interface as extensively, although for programming needs, SAS is considered a more powerful tool. It was preferred over SPSS historically due to the ease of programming, which in SPSS was considered far more complex and difficult. However, the modern versions of SPSS command a lot more respect in terms of programming capability.

Time series analysis is another function which is much more extensive in SAS. However, SAS offers the flexibility to perform a variety of functions which may or may not be possible through SPSS.

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Logistic regression is the extension of simple linear regression. Simple Linear regression is a statistical technique that is used to learn about the relationship between the dependent and independent variables. In Linear regression, dependent and independent variables are continuous in nature. For example, we could apply it to sale and marketing expenditure, where we want to predict sales based on marketing expenditure. Where the dependent variable(s) is dichotomous or binary in nature, we cannot use simple linear regression. Logistic regression is the statistical technique used to predict the relationship between predictors and predicted variables where the dependent variable is binary. Furthermore, where our dependent variable has two categories, we use binary logistic regression. If our dependent variable has more than two categories, it will be necessary to use multinomial logistic regression, whereas if our dependent variable is ordinal in nature, we use ordinal logistic regression.

In logistic regression, we assume one reference category with which we compare other variables for the probability of the occurrence of specific ‘events’ by fitting a logistic curve.

Like other regression techniques, logistic regression involves the use of two hypotheses:

1. A Null hypothesis: null hypothesis beta coefficient is equal to zero, and,

2. Alternative hypothesis: Alternative hypothesis assumes that beta coefficient is not equal to zero.

Logistic regression does not require that the relationship between the dependent variable and independent variable(s) be linear. Also, logistic regression does not require the error term to be normally distributed. Logistic regression assumes that the independent variables are interval scaled or binary in nature. However, logistic regression does not require the variance between the categorical variables. In logistic regression, normality is also not required. However, logistic regression does assume the absence of outliers.

There are some key differences in the methodologies and processes involved in simple vs. logistic regression. In the case of simple regression, ANOVA is used to evaluate the overall model fitness. Furthermore, R-square is used to evaluate the variance, as explained by the independent variable. Cox and Snell’s R², Nagelkerke’s R², McFadden’s R², Pseudo-R² are alternatives to the R-square in logistic regression. Furthermore, we use the t-test to assess the significance of individual variables where simple regression is concerned. However, in the case of logistic regression, we use the Wald statistic to assess the significance of the independent variables. Instead of simple beta, exponential beta is used in logistic regression as the independent coefficient. Exponential beta provides an odd ratio for the dependent variable based on the independent variables. This essentially is a probability of an event occurring vs. not occurring.

Rule of thumb (Peruzzi et al, 1996) recommends that to estimate the logistic regression function, a minimum of 10 cases per independent variable is required to achieve reliable and meaningful results. For instance, where 10 independent variables are concerned, a minimum sample size of 100 with at least 10 cases per variable (once you take missing values and outliers into account) are permissible.

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What busy student has the time to worry about the minutia of APA formatting? Because of the time constraints faced by students slaving over the research, analysis and writing of their dissertations, not many students have the time or patience necessary to deal with APA formatting. This is precisely where APA formatting help comes in as APA formatting help can assist the busy student with all of his/her APA formatting issues.

Statistics Solutions is the country’s leader in statistical consulting and APA formatting for dissertations, theses or research projects. Contact Statistics Solutions today for a free 30-minute consultation.

APA formatting help is designed to help students who do not know how to use proper APA format. APA formatting help is provided by experts who have immense training and background in APA formatting. Because APA formatting is so time consuming, APA formatting help can save the student from much wasted time that can be spent elsewhere. APA formatting help is the perfect solution for a busy student who is strapped for time, as APA formatting help can solve all of the student’s APA formatting problems.

There is much need for APA formatting help as APA formatting help can not only save time, but it can make APA formatting much easier to understand. APA formatting help breaks down the hundreds of rules and guidelines and gives the student exactly what they need in terms of APA formatting. APA formatting help also allows the student to feel confident about the APA formatting part of his/her paper.

APA formatting help is available from consultants, but these consultants need to be especially qualified to offer APA formatting help. It is therefore very important to make sure that the APA formatting help that you hire is trained in APA formatting help. Additionally, with our ever-evolving technology, APA formatting is also ever-evolving because there must always be a standard way to cite any technology that a student uses. Again, this is where APA formatting help comes into play as it keeps up with the ever- changing world of technology.

There is also software available for APA formatting help. This software, however, does not compare to an actual person offering APA formatting help. A good analogy would be the spell-check and grammar-check feature on Microsoft Word. The spell check and grammar-check on Microsoft word does not always find spelling and grammar mistakes! Instead, it finds what it thinks are spelling and grammar mistakes, but in reality, oftentimes the spell-check and grammar-check is incorrect! This is much like the software for APA formatting help. Like anything, APA formatting help is best done with actual people. Just imagine having an English teacher proof your paper instead of Microsoft Word’s Spell/Grammar check! The same is true for APA formatting help because if a student gets APA formatting help, that person offering APA formatting help is as versed in APA format as an English teacher would be in spelling and grammar. In terms of APA formatting help, software, therefore, cannot compare with actual help.

APA formatting help also picks up on the larger issues of the dissertation. Because of this, it is important to acquire APA formatting help from someone who is well qualified. In fact, many experts who offer APA formatting help are also experts in statistics and consulting. And because experts who offer APA formatting help are well trained in statistics and consulting, the student can get both APA formatting help and overall dissertation consulting at the same time. In other words, while APA formatting help offers guidance and assistance in all things relating to APA formatting, APA formatting help is also there to help students review their entire dissertation. It is clearly beneficial, then, to seek APA formatting help.

Most students in today’s busy world do not have the time or desire to deal with APA formatting, and APA formatting help is clearly a solution for those students.

The single most important part of a doctoral student’s academic career is the completion of his or her dissertation. The dissertation is the culmination of a student’s career, and as such, it is one of the most time consuming, effort intensive aspects of the student’s degree. In order to have a dissertation approved and accepted, the research within the dissertation must be accurate and precise. Thus, the statistics within the dissertation, or the dissertation statistics, must be accurate and precise.

Statistics Solutions is the country’s leader in dissertation statistical consulting. Contact Statistics Solutions today for a free 30-minute consultation.

In order to obtain valid dissertation statistics, students must be familiar with the field of statistics. Dissertation statistics require that the most appropriate and pertinent tests are chosen to analyze the question or topic. Additionally dissertation statistics require that students follow precise research design. Dissertation statistics also involves the collection of relevant data. Dissertation statistics can be obtained through surveys, studies, demographical data, etc. There are many rules, however, that must be followed when acquiring dissertation statistics. Without the proper tests and assumptions, the dissertation statistics acquired will be invalid.

Because getting valid dissertation statistics is difficult, there are many ways a student can get help in acquiring precise dissertation statistics. One such way to get optimal dissertation statistics is to ask the dissertation advisor. The dissertation advisor, however, is oftentimes very busy—especially when it comes to going over every aspect of the methodology required in attaining accurate dissertation statistics.

Another way to get accurate dissertation statistics is to hire dissertation consultants. Dissertation consultants know exactly what needs to be done/implemented/executed in order to obtain valid and substantial dissertation statistics. Dissertation consultants know, for example, how to collect relevant data. Dissertation consultants know that without the collection of relevant data, valid dissertation statistics are impossible to achieve. Dissertation consultants, therefore, can set-up surveys and questionnaires that can answer the question that is being researched. Oftentimes, without the help of dissertation consultants, students do not have appropriate questions on questionnaires. They are therefore unable to collect all of the dissertation statistics necessary.

Dissertation consultants also know how the sample size affects dissertation statistics. Dissertation statistics must be acquired with data collected from the right sample size, and dissertation consultants are experts in sample size justification.

Once dissertation consultants help the student with the collection of the dissertation statistics through valid collection of data techniques, dissertation consultants know what to do with the data that is collected. Though it might seem simple, oftentimes students working on their dissertations are not trained in dissertation statistics, and they therefore do not have the knowledge base necessary to interpret the data collected. Here again dissertation consultants can be beneficial as they can interpret the data in order to collect the most precise dissertation statistics.

Part of this interpretation of data in order to get proper dissertation statistics involves SPSS. SPSS is a comprehensive statistical software package that helps a student analyze and interpret dissertation data. SPSS can import data from different files, such as Excel, Word, etc. SPSS can then generate tabulated graphs, charts and reports based on the data (In order for the dissertation statistics to be accurate, of course, the collection of the data must be accurate, as mentioned before). Using SPSS properly, however, can be very difficult for students to do alone. Dissertation consultants can help in that vein, as accurate dissertation statistics are impossible without proper use of SPSS. With the help of dissertation consultants, what can take a student days, weeks and months to figure out, a dissertation consultant can do in far less time. Additionally, the dissertation consultant will ensure accurate dissertation statistics because dissertation consultants know how important it is for those dissertation statistics to be accurate and valid. Only with accurate and valid dissertation statistics will a dissertation be approved, and therefore dissertation consultants are an invaluable part of the dissertation statistics and dissertation writing process.