quantitative data processing and analysis

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Presentation Description

This Presentation answers the following questions. How to Process the quantitative data? How to analyse the quantitative data

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By: mekanagaraj (8 month(s) ago)

Dear Viewers, In case you are interested in getting the soft copy of the above presentation, kindly write to my email id. Dr. Kanagaraj Easwaran

By: kumuda.bms (8 month(s) ago)

respected sir, I am the lecturer in BMS college .i needed the ppt's for the students. could you please mail them to kumudaksha2002@gmail.com thanking you, kumuda

By: she_01022 (10 month(s) ago)

can i download it

Presentation Transcript

PROCESSING AND ANALYSIS OF QUANTITATIVE DATA : 

PROCESSING AND ANALYSIS OF QUANTITATIVE DATA By Dr. E. Kanagaraj Department of Social Work School of Social Sciences Mizoram University Aizawl -796 009.

Data : 

Data What is Data? What are its Types? Primary vs Secondary Quantitative Vs Qualitative

Types of Data : 

Types of Data Primary Data and Secondary Data : Crossectional, Time Series and Pooled Data

Variable : 

Variable What is Variable? Continuous and Discrete Metric and Non-metric Independent, Dependent and Mediating

Data Processing : 

Data Processing Editing Coding : Code Book Data Entry: Master Chart Data Cleaning

Why Computer in Data Processing and Analysis : 

Why Computer in Data Processing and Analysis Time Resources Energy Errors Use of Advanced Tools Multivariate Techniques Difficult?

Coding : 

Coding Assigning numerals and Labeling Structured, Pre-coded Instruments Unstructured Questions Coding according to research objective Numerical coding most appropriate

Data Entry : 

Data Entry Master Chart or Table Variables in Column Cases in Rows Data entry in Ms Excel Integration of Code Book and Master Reading Excel Data in SPSS

Data Cleaning : 

Data Cleaning Correcting Errors in Data Entry Maximum, Minimum, Frequency etc Sorting and Correcting

Data Analysis : 

Data Analysis What is analysis Explaining the one with the other Association Relationship: Linear vs Non linear Comparison: Two or More Groups Hypothesis Testing

Choice of Techniques : 

Choice of Techniques Sampling Design : Random Vs Non random Nature of Variable : Nominal, Ordinal, Interval Number of Variables Number of Cases : Sample Size

Descriptive Statistics : 

Descriptive Statistics Aim to describe the characteristics Measures of Central Tendency Measures of Dispersion

Inferential Statistics : 

Inferential Statistics Parameter – Population measure Statistic – Sample measure Univariate Bivariate Multivariate

Contact : 

Contact Dr.E.Kanagaraj mekanagaraj@gmail.com Cell:9436362333

Slide 15: 

THANK YOU