Advanced IBM SPSS Quantitative Techniques In Research Assignment Help

This course covers Advanced Techniques For Quantitative Data Analysis in business research using IBM- SPSS. This course is for all learners because it provides an understanding of basic to advanced techniques, making it easier for a beginner as well as a learner with basic SPSS knowledge.
Students who want to learn how to use SPSS and conduct research data analysis can enrol in this course. It is divided into 11 sections, with the following main concepts taught throughout:
  • Advanced Learning- Data Analysis
  • Basics of SPSS
  • Correlation
  • Demographic Analysis
  • Descriptive/ Normality
  • Factor Analysis
  • Measure of Central Tendency
  • Mediation and moderation
  • Regression in the case of Mediation and Moderation
  • Regression- Linear and Multiple
  • Reliability Analysis

KEY FEATURE

Advanced Statistics teaches advanced univariate and multivariate analytical techniques and models.

It contains procedures for generalised linear mixed models, general linear models, mixed models, generalised linear models, and generalised estimating equations.

Gain deeper insights from data to assist in the resolution of real-world problems in fields such as manufacturing, pharmaceuticals, and market research.

This module is included in the on-premises SPSS Premium edition, as well as the Custom Tables and Advanced Statistics add-on for subscription plans.

Advanced IBM SPSS Quantitative Techniques In Research Assignment Help

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Key Topics
    The course includes short notes to help you understand the concepts better, as well as practise exercises at each step to help you master the skills needed to perform analysis.

    What you will learn from this course:

    1. comprehend the fundamental concepts for research analysis
    2. capable of conducting data analysis for quantitative research
    3. learn the advanced skills required for IBM SPSS analysis

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