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How does Data Cleaning impact the quality of Data Analysis in your dissertation? Check out our expert-approved blog

If you want to open and grow your business, you first have to check if your product or service is market fit or not. We also did the same with this blog. But do you know that we failed FOUR times before it reached you? But what is the reason? It’s not that we didn’t know data cleaning and how to implement it to improve the quality of the data analysis. Then what is it? Can you guess it? After failing to gain traction with our blog for the 4th consecutive time, then one of our low-grade researchers told us this, “I think people don’t know why to implement data cleaning, that’s why maybe they are not reading this”. We were shocked by that answer. Then in the 5th time when we incorporated this point in our blog, then all the readers got engaged in our research-backed blog. read...

How does Data Cleaning impact the quality of Data Analysis in your dissertation? Check out our expert-approved blog

If you want to open and grow your business, you first have to check if your product or service is market fit or not. We also did the same with this blog. But do you know that we failed FOUR times before it reached you ? But what is the reason? It’s not that we didn’t know data cleaning and how to extract the qualitative data required for the dissertation  . Then what is it? Can you guess it? After failing to gain traction with our blog for the 4th consecutive time, then one of our low-grade researchers told us this, “I think people don’t know why to implement data cleaning, that’s why maybe they are not reading this”. We were shocked by that answer. Then in the 5th time when we incorporated this point in our blog, then all the readers got engaged in our research-backed blog. read...

Measuring relationship strength in meta analysis

The primary function of the procedures described so far is to help meta-analysis accept or reject the null hypothesis .Until recently,most researchers interested in social theory and the impact of social interventions have been content to simply identify relations that have some explanatory value.The prevalence of this “yes or no” question was partly due to the relativity recent development of the social sciences. Social hypothesis were crudely stated first approximation to the truth .Social researchers rarely asked how potent theories or interventions were for explaining human behaviour or how competing explanations compare with regard to their relative explanatory value .Today, as their theories and interventions are becoming more sophisticated ,social scientists are more often making enquiries about the size of relationship. read...

Open Ended Questions – How to devise open ended questions in your survey questionnaire for PhD research

An open-ended question is an open question where the response is recorded verbatim. An open-ended question is nearly always an open question. (It would be wasteful to record yes-no answers verbatim.)Open-ended questions are also known as ‘unstructured’ or ‘free response’ questions. Open-ended questions are used for a number of reasons: The researcher cannot predict what the responses might be, or it is dangerous to do so. Questions about what is liked and disliked about a product or service should always be open-ended, as it would be presumptuous to assume what people might like or dislike by having a list of pre-codes. We wish to know the precise phraseology that people used to respond to the question. We may be able to predict the general sense of the response but wish to know the terminology that people use. We may wish to quote some verbatim responses in the report or the presentation to illustrate something such as the strength of feeling that respondents feel. In response to the question ‘why will you not use that company again?’, a respondent may write in: ‘They were that awful. They mucked me for months, didn’t respond to my letters and when they did they could never get anything right. I shall never use them again.’ Had pre-codes been given on the questionnaire this might simply have been recorded as ‘poor service’.The verbatim response provides much richer information to the end-user of the research. Through analysis on the verbatim responses, clients can determine if the customer is talking about a business process, a policy issue, a people issue (especially in service delivery surveys), etc. This enables them to determine the extent of any challenges they will face when reporting the findings of the survey to their management. Common uses for open-ended questions include : Likes and dislikes of a product, concept, advertisement, etc; Spontaneous...

Preparing for Interviews – Guide for Qualitative Research

There are many different types of question that can be asked and in many different ways. What is common to all questions, though, is that they must be worded in a way that is understood by the respondents and to which respondents can relate. This means ensuring that there are minority-language versions of the questionnaire if the sample is likely to include people who speak a language is unlikely to be sufficiently good to be able to complete an interview in it. By denying sections of the survey population the opportunity to participate in the study, the questionnaire writer is effectively disenfranchising them from influencing the findings. For many studies commissioned by the public sector in countries, it is important that the interview is capable of being conducted in any language that is spoken by a significant number of people in the any language that is the spoken by a significant number of people in the survey population to avoid the danger of disenfranchisement. In the UK Many government studies require questionnaire versions in Welsh, Urdu, Hindi and other languages, and in USA a Spanish-language version will often be required. read...

An introduction to Data Mining & its Applications in Bioinformatics

With the increasing importance of bioinformatics in agriculture, molecular medicine, microbial genome applications, etc. the research in this field has gained momentum than ever before. Bioinformatics, also known as computational biology, deals with interpreting biological data by using computer science and information technology. Of lately, research in bioinformatics has produced vast amounts of data and will continue to generate proteomic, genomic, etc. data. To analyze and gain deep insights into such biological data necessitates making sense of the information by inferring the data. For instance, gene classification, protein structure prediction, clustering of gene expression data, protein-protein interactions, etc. These processes, in turn, increases the need for interaction between bioinformatics and data mining.   read...

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