Ph.D in Business Management

Padmashree Dr. D.Y. Patil University
In Navi Mumbai

Price on request
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Important information

  • Course
  • Navi mumbai
  • Duration:
    3 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Navi Mumbai
Sector 15, Plot no 50 , CBD Belapur, 400614, Maharashtra, India
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Course programme

Course Content
PAPER-I RESEARCH METHODOLOGY-THEORY
UNIT-I
Research: Meaning – Purpose- Types of research-significance of research in
social and business sciences.
UNIT-II
Steps in Research: Identification, selection and formulation of research problem-
Research questions-Research design- Formulation of hypothesis- Review of literature.
UNIT-III
Sampling Technique: Sampling theory-Types of sampling-Steps in sampling-
Sampling and Non-sampling error-Sample size –Advantages and limitations of sampling.
UNIT-IV
Data for Research: Primary data-Meaning-Collection methods-Observation –
Interview-Questionnaire-Schedule-Pretest-Pilot study –Experimental and case studies-
Secondary data- Meaning – Relevance, limitations and cautions.
UNIT-V
Processing Data: Checking- Editing-Coding- transcriptions and Tabulation- Data
analysis- Meaning and methods- Quantitative and Qualitative analysis.
UNIT-VI
Structuring the Report: Chapter format- Pagination- Identification- Using
quotations- Presenting footnotes – abbreviations- Presentation of tables and figures-
Referencing- Documentation-Use and format of appendices- Indexing.
UNIT-VII
Research Report: Types of reports-Contents-Styles of reporting- Steps in drafting
reports-Editing the final draft-Evaluating the final draft.


PAPER-II : METHODS OF RESEARCH-II –TECHNIQUES
UNIT I
Statistics in Research: Specific applications of measures of Central tendency,
Dispersion, Skewness and Kurtosis in research.
UNIT II
Measures of Relationship: Correlation – Simple, Partial and multiple- Regression- Simple
and multiple-Association of Attributes – applications in research.
UNIT III
Hypothesis Testing and estimation: Fundamentals of hypothesis testing-Standard errorpoint
and interval estimates-Important non-parametric tests: Sign, Run Kruskal-Wallis
tests and Mann – Whitney test.
UNIT IV
Parametric Tests: Testing of significance mean, proportion, variance and correlation-
Testing for significance of difference between means, proportions, variances and
correlation coefficients.
UNIT V
ANOVA and Chi-Square Tests: One-way and two-way ANOVA – Latin Square tests for
association and goodness of fit.
UNIT VI
Measurement in Research: Measurement scales – Tests of good measurementconstruction
of Likert and Semantic Differential scales-Source of errors in measurement-
Scale validation.


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