The Difference between Univariate and Multivariate Regression Analysis

Univariate means that you are assuming that the response variable is influenced only by one other factor. Example: IELTS scores are influenced by GPA. You may be looking to test the hypothesis that as the GPA rises, the IELTS score rises. Here you are assuming that the GPA is the only factor influencing the IELTS score.

Multivariate means that you are assuming that the response variable is influenced by multiple factors (and even combinations of factors). So for example, you might assume that IELTS scores are influenced by GPA and sex (male or female). This type of analysis also leads to possibilities of crossterms, meaning there is some effect of being male and having a certain GPA on the IELTS scores vs being female and having a certain GPA. Basically, a short answer is, univariate deals with one predictor variable; multivariate deals with multiple predictor variables.

Therefore;

We would like to invite you to participate in "One Day Workshop on Analysis of Questionnaire and Survey Data: Multivariate Statistical Techniques".

The workshop is open to all researchers, academicians and postgraduate students from government agencies, Malaysia and International Higher Learning Institutions and private sector.

The details of the workshop are as follows:
Course Title: One Day Workshop on Analysis of Questionnaire and Survey Data: Multivariate Statistical Techniques
Date: 16 May 2014 (Friday)
Time: 8.30 a.m. - 5.30 p.m.

Venue: MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, 

Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor

Speaker: Dr. Shamshuritawati Sharif

Registration Fee: RM 200 

Medium: English

INTERESTED TO REGISTER?? Please click link as below:

>>>>> http://postgraduateworkshop.com/questionnaireanalysis <<<<<

The Advantages of Multivariate Analysis

Multivariate techniques are used to study datasets in consumer and market research, quality control and quality assurance, process optimization and process control, and research and development. These techniques are particularlyimportant in social science research because social researchers are generally unable to use randomized laboratory experiments, like those used in medicine and natural sciences. Here multivariate techniques can statistically estimaterelationships between different variables, and correlate how important each one is to the final outcome and where dependencies exist between them.

Because most data analysis tries to answer complex questions involving more than two variables, these questions are best addressed by multivariate statistical techniques. There are several different multivariate techniques to choosefrom, based on assumptions about the nature of the data and the type of association under analysis. Each technique tests the theoretical models of a research question about associations against the observed data. The theoreticalmodels are based on facts plus new hypotheses about plausible associations between variables.

Multivariate techniques allow researchers to look at relationships between variables in an overarching way and to quantify the relationship between variables. They can control association between variables by using cross tabulation,partial correlation and multiple regressions, and introduce other variables to determine the links between the independent and dependent variables or to specify the conditions under which the association takes place. This gives a muchricher and realistic picture than looking at a single variable and provides a powerful test of significance compared to univariate techniques.

(Source: www.ehow.com/info_8247893_multivariate-techniques-advantages-disadvantages.html)

INTERESTED TO KNOW MORE?? Please click link as below:

>>>>> http://postgraduateworkshop.com/questionnaireanalysis <<<<<

One Day Workshop on Analysis of Questionnaire and Survey Data: Multivariate Statistical Techniques

Introduction
Questionnaires are used in a wide range of settings to gather information about the opinions and behaviour of individuals. Understand how to analyse questionnaire and survey data is therefore essential for researchers. In the process of carrying out the research, we need some clues about “How will we analyse our data? Which techniques should we use? How do we decide if they are right or wrong technique?”. Therefore, in this workshop, we will guide you with step by step instructions on how to choose the suitable technique for your survey data.

Objectives

At the end of this workshop, the participants would be able to:

• determine the measurement scale of each items in the questionnaire. 
• understand the idea of each statistical techniques. 
• decide the appropriate multivariate statistical techniques

To know about this topic, come join us at below workshop ;

http://postgraduateworkshop.com/questionnaireanalysis/

Date	››	17 December 2013 (Tuesday)
Time	››	8:30am – 5:30pm
Venue	››	MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor
Speaker	››	Dr. Shamshuritawati Sharif
Fee	››	RM180 (normal rate) - payment from 1 December 2013 until closing date
Medium	››	English