Week 4 Part 1 (SPSS)

This week's task is the input for Assignment 5. So basically this week we will eventually be learning by doing Assignment 5 - mini research.

There are several methods that can be used to record and analyse data using simple surveys which can be created using SurveyMonkey and Google doc (spreadsheed & Form).


Statistical Package for Social Science (SPSS) is a computer aided quantitative data analysis where it is a useful software for various kinds of analysis. IBM, who is experience in software development, is the developer of this SPSS Statistics software. They claim that SPSS is the world’s leading statistical software for business, government, research and academic organizations.

Below are several description about SPSS by IBM from their official website
(http://www-01.ibm.com/software/analytics/spss/)

• IBM SPSS Statistics puts the power of advanced statistical analysis in your hands. 
  
• With IBM SPSS Modeler, you can quickly discover patterns and trends in your data more easily, using a unique visual interface supported by advanced analytics.
  
• Get an accurate view of people's attitudes, preferences, and opinions with IBM SPSS Data Collection.
  
• Use IBM SPSS Deployment products to drive high-impact decisions by making analytics a vital part of your business.

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Before we start our Assignment 5, we are required to study about ~
DIKW: Data-> Information-> knowledge  -> wisdom
This DIKW is related to what we are going to do where it serve as a guideline on how should we carry out a survey so that we are able to produce a good quality of qualitative analysis and research.

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We are required to:

SPSS:
1. From the printed questionnaire, use pencil  for giving code for the variable of each item. Example
    Form ID:  (give values 1 to 10, 10 -20)

•  Gender: 1.  Female 2. Male
•  Scale:
  1. Strongly disagree 
  2. Disagree
  3. Less agree
  4. Agree
  5. Strongly Agree

2.  Open SPSS and start naming the variable  using Variable View. Example

• Name: Form ID ; type: Numeric:; width : 8; decimals: 0; Label
• Form Identification; values: none 
• Name: Gender; type: numeric; width: 8; decimals: 0; Label Value (1, Male, etc.)

3.  Data Entry (for printed questionnaire) using Data View
4.  In data view, Data -> Merge / import data from Online Questionnaire spreadsheet (make sure that the variable is the same)
5.  Run  the analyze ->descriptive data: Frequencies
6.  Output will be displayed in SPSS Viewer
7.  The table and graph can be copied from  SPSS Viewer to  OpenOffice Writer for reporting.

The data that we have created earlier from SurveyMonkey is excluded because it it just a pilot test.

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After learning about various forms of creating surveys and ways to analyse the data, I truly learnt a lot of new knowledge. These will be useful for me as a future teacher to enhance teaching and learning process. Through surveys, I could get feedback from students and analyse the data. The analysis will be a helpful feedback and resource for me to improve on my teaching method and how can students improve or how the students wants a class to be. By exposing me to such knowledge, I am very grateful.

~Happy Distance Learning~

~To make a starting move is always difficult, but once you start, you'll find your own pace of doing work~

~Chew~