PhD Textual Data Analysis

Get the Comprehensive Support for Textual Data Analysis from Subject Experts.

Introduction

Conducting a research study is initiated with certain design. The purpose is to collect valid data which is the base for making due analysis to understand research issue or problem. As far as research design is concerned, the prominent attributes which could be put into practice are:

  • Sample survey
  • Participant observation
  • Interviewing
  • Case studies
  • Experiments, etc.

With these attributes, researcher collects data to be analyzed for reaching a conclusion. If the design of the study is based on case study, resorting to the process of interview is the need to collect data. Similarly, if the experiment design is put forth, the means of data collection becomes incumbent through audio-visual recordings. These are a few instances of collecting data in qualitative study. Thus, data eliciting matters which is an art; the concerned researcher must understand the research study to implement specific design.

Why textual data analysis is Sought for

Usually, data collection involves in quantitative measure. However, in certain studies, the data collected through quantitative means provides hazy picture. Means, the data is insufficient in making any analysis. Thus, for clarity of the research purpose; researcher resorts to textual data analysis. Here, adopting textual data analysis could be reasoned to the following:

  • Numerical evidence is not enough to prove something
  • When the study involves certain events or comments or behavior of participants
  • When the theories are generated with data, etc.

In this respect, we provide the requisite services in terms of:

  • Preparing of the summary sheets
  • Assessing the trends of data
  • Identifying the categories, coding, transcription of notes, etc.

Advantages of Qualitative Analysis

There are certain advantages accrue through qualitative or textual analysis which are as follows:

  • To sort out the priority issues
  • To identify the knowledge gap
  • To predict with more accuracy
  • To Identify highly significant information
  • To appropriate stratification of quantitative survey
  • To ascertain the relationships or trend pattern in the survey.

This much of leverage on the part of a researcher gained through this analysis will definitely propel to foray into research study with more effect. In spite of these advantages, researcher might not be able to deal with the study in accurate. Hence, we do provide the necessary help like:

  • Evaluating the research study with perfection
  • Establishing a firm theory
  • Defending the aspect of sampling and methodology adopted.

How to collect Qualitative Data

Data collection is the prerequisite in answering the hypothetical question. The process involves the following:

  • In-depth interview between interviewer and informant
  • Direct observation involving recording of actual behavior
  • Participant observation for better understanding of the research context
  • Focus group discussions to explore issues.

To ensure the process of data collection, our experts strengthen the aspect in terms of:

  • Preparing the instruments in context to research study
  • Making a random sampling procedure
  • Making a systematic selection to alternative rationale.

Data collection strategy in Qualitative Research

In qualitative study, the foremost requirement is to adopt a strategy for collecting data in appropriate. The way to adopt a specific strategy depends on the research study and it varies. However, usual assumption in this respect revolves around:

  • In-depth interviews
  • Structured interviews
  • Unstructured interviews
  • Focus groups
  • Narratives
  • Content analysis
  • Observation of participants.

Process of analyzing Qualitative Data

Once the data is collected, the subsequent responsibility is to convert the same into numbers. It is not an easy task as the data comprises of various views, opinions, behavior of the people, etc. Moreover, the audio-video recordings further complicate the procedure to analyze. Thus, the concern is to quantify these types of unstructured data. To deal with the concerns of analyzing, we assist in:

  • Organizing the data
  • Identifying the framework
  • Sorting out the data in order
  • Interpreting the data.

This is how the quality of research study in data collection and analysis involves. To ensure all sorts of these things, we have qualified research experts who do the necessary initiatives in consultation with our experienced statisticians. As per the nature of research study, the concerned experts is assigned the task to help out the needy students. So far, we have delivered scores of qualitative analysis help in various research studies. In fact, the way we render the qualitative analysis help assists actually in developing the thesis or dissertation. This is the reason, we have created a niche in the academic research world for our effective and invasive assistance holistically. For further information related to services, Contact Us