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Research methodology

What is Research Methodology?

The system of collecting data for research projects is known as research methodology. The data may be collected for either theoretical or practical research for example management research may be strategically conceptualized along with operational planning methods and change management.

Some important factors in research methodology include validity of research data, Ethics and the reliability of measures most of your work is finished by the time you finish the analysis of your data.

Formulating of research questions along with sampling weather probable or non probable is followed by measurement that includes surveys and scaling. This is followed by research design, which may be either experimental or quasi-experimental. The last two stages are data analysis and finally writing the research paper, which is organised carefully into graphs and tables so that only important relevant data is shown.

Types of Research Methods

  • Qualitative
  • Quantitaive
  • Mixed
  • Critical and action oriented

Data collection

Data collection depends on the research design (quantitative or qualitative design). Tutors India helps in a survey tool validation and also online and face to face data collection process. We help you to conduct surveys [in person Interviews: Formal to informal; structured to unstructured; focus group discussion, observations, self-administered questionnaire, diaries, citizen report cards, Delphi techniques, expert judgement, online surveys, secondary sources such as journals, newspaper  articles, annual reports, government sources such as census, budgets, policies, procedures,  etc.

Our Quantitative consulting Benefits

The preparation of a sucessful dissertation involves conducting effective research, analysing data and results presentation all which require a high level of statistcal expertise. We at tutorsindia provide solution from formulating methodology to the results presentation. You can approach statswork with any or all of the following steps:

Appropriate selection of statistical tools (parametric and non-parametric) depends on the study design and sample size. The following are some of the statistical tools used by our expertise..

  • Exlportary data analysis
  • T-test, ANOVA, ANCOVA
  • Chi-square
  • Linear regression
  • Dichotomous logistic regression
  • Ordinal logistic regression
  • Multinomial logistic regression
  • Quantile regression
  • Poisson regression
  • Survival analysis
  • LogLinear models
  • Factor analysis
  • Principal component analysis
  • Multidimensional scaling
  • Forecasting
  • Decision Tree
  • Neural Network
  • Cluster analysis
  • Multiple imputation
  • An extensive array of graphical procedures

Reliability and validity of results

Interpretation of the findings

Qualitative Analysis

Understanding some aspects of social life and its methods through text rather than numbers, as data for analysis. Although there are criticism for such methodology, you need such methdology that the survey can't answer very well.

Some common criticism include:

  • Findings lack rigour
  • Small sample size
  • Not necessarily representative of the broader population

Common Qualitative research methodology include

  • Focus Group discussion
  • Interview techniques
Read More from the article on How to develop Qualitative Research Designs

We have just provided the framework, to get more insights about our expertise contact us