Mehta Solutions QAM202 Research Methodology QAM202 Research Methodology.. Product #: QAM202 Research Methodology Regular price: Rs800 Rs800

QAM202 Research Methodology

Product Code: QAM202 Research Methodology
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Amity university  QAM202 Research Methodology  SOLVED PAPERS AND GUESS 

 

Product Details: Amity university bba  QAM202 Research Methodology

FormatBOOK 

Pub. DateNEW EDITION APPLICABLE FOR Current EXAM

PublisherMEHTA SOLUTIONS

Edition Description: 2021-22

RATING OF BOOK: EXCELLENT

  

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  If you find yourself getting fed up and frustrated with other amity University book solutions now mehta solutions brings top solutions for Amity university bba  QAM202 Research Methodology contains previous year solved papers plus faculty important questions and answers specially for amity University .questions and answers are specially design specially for amity University students .

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 Course Contents/Syllabus:
Weightage (%)
Module I : Nature and Scope of Research Methodology 20
Types of research: Exploratory, Conclusive (Descriptive and Causal), Research process and
steps in conducting research; Approaches of research: deductive, Inductive, qualitative and
quantitative; Planning a research project: Problem identification and formulation. Research
Design: Exploratory, Descriptive and Experimental.
Module II : Research Methods and Data Collection Technique 20
Research modelling: Types, and Stages; Data collection methods: Survey, Observation and
Questionnaire ; Questionnaire Design: Steps in constructing a questionnaire, Types of
questions, Attitude measurement ; Scaling techniques: Ratio, interval, ordinal and nominal ;
Sampling Plan: Sampling frame, sample selection methods- Probability and non- probability,
sample size; Sampling and non-sampling errors; Editing, tabulating and validating of data.
Module III : Data Analyses Techniques 30
Descriptive statistics, Review of hypothesis testing procedures:
Parametric tests (z-test, t-test, and F-test) and Non-parametric test(Chi-square test, One-way and
two-way ANOVA)
Associative and Predictive analysis: Correlation and Regression- bivariate and multivariate
Multivariate Techniques: Multi-Dimensional scaling, Data reduction (Factor analysis) and
cluster analysis
Data Analysis: Introduction to statistical software SPSS 21.0
Module IV : Field Project and Report Writing 30
Pre-Writing considerations, Research report components, Common Problems encountered when
preparing the Research Report. Presenting research report.

 

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