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SPSS Skill: Qualitative vs. Quantitative Research using SPSS SPSS SKILL Animation https://youtu.be/HtWvHcKMPfA This Video Learning explains textbook classification and SPSS classification of Quantitative data and Qualitative data. It clarifies that Quantitative data is also Continuous data and Qualitative data in SPSS is know as Categorical data. SCALE measure in SPSS are used to set up Quantitative variables: In SPSS, your Quantitative data is entered through creating variables with have SCALE measure and Categorical data of your research is dealt by creating variables that have ORDINAL and NOMINAL measures. When you have data that is being measured on a standard metric scale, then it is good idea to use SCALE measurement for the variable in SPSS. For example, age, marks secured, height, weight, income etc are examples of Quantitative VARIABLE measured on SCALE measure. ORDINAL and NOMINAL measures in SPSS are used to set up Qualitative variables: Further is worth understanding that SCALE data can be measured in Interval Scale or a Ratio Scale. RATIO SCALE measure of Quantitative variables: A ratio scale has a true zero point in the measurement. For Example, Dividend paid on stock of a company say ABC Limited is $40 per share and that of XYZ is $30 per share. Here We are using Ratio scale of measurement as we can clearly not only tell that $40 is more that $30 and there is difference of $10 but there is also a true zero point as zero dividend means no dividend. So in Ratio Scale zero value makes sense and it represents absence of that particular phenomenon, for example zero dividend means absence of dividend or no dividends. So, there is a true zero in Ratio Scale. INTERVAL SCALE measure of Quantitative variables: In Interval Scale there is no true zero. Temperature in Fahrenheit and Celsius is a good example of interval scale because zero-degree temperature in Fahrenheit or Celsius does not mean absence of temperature. ORDINAL measure for Qualitative variables/Categorical Data: Ordinal Measure in SPSS represents categories that are ranked. For example, if there is a questionnaire has a question as to how satisfied you are from your job and there are categories like 1-very dissatisfied, 2-dissatisfied, 3-satisfied and 4-very satisfied the this is of course categorical data that can be represented through ORDINAL MEASURE in SPSS. But distance between categories like 1-high,2medium ,3-low can not be calculated for ORDINAL data. NOMINAL measure for Qualitative variables/Categorical Data:
Nominal Measure in SPSS is used to set up categorical and Qualitative data. There are of course categories like 1-Sales, 2-Accounting, 3- Research etc. but these categories are not ranked, and we are not saying 3 (Research) is better than 2(Accounting). Similarly, we are not saying that 2 is better than 1 or Accounting is better than Sales. So, with Nominal measure data is categorized but not ranked. Moreover, variables like gender, 1-male 0-female can also be measured on Nominal Measures. Similarly, Religious affiliations and data about various geographical zone can also be measured on Nominal Scale. Similarly, marital status like 1-never married, 2-separated, 3-divorced,4-single etc can also be set on Nominal Measure. With this understanding, you should set up your research variables accordingly in SPSS so that statistical analysis can be performed accordingly.
SPSS Skill: Know Your Data Know Your SPSS Data: Skill Animation https://youtu.be/-SRMvWo4iNw
SPSS stands for Statistical Package for Social Sciences. SPSS is a powerful Statistical data analysis program as compared to other Programs designed for this purpose. This Video Learning provides you with the skill to understand SPSS sheet that has two views, Variable View and Data View. The learning shows how to define a numeric variable namely age. Further, it shows how to set up width of the numeric variable, decimal places for a numeric variable, and a suitable Label for the numeric variable. A numeric variable can have a Scale, Nominal or Ordinal measures, and this video learning sets age as a numeric variable that is to be measured on a SCALE measure. Whenever, we set up a new variable in SPSS it is by default set up as a Numeric variable but in this video learning you acquire the skill of who you can change the default data type from numeric to any other data type available in SPSS, that incudes Comma (Comma formatted Numeric variable),Do t(dot separated numeric variable), variable expressed as Scientific Notation etc. In upcoming video learnings these are explained in detail. Numeric Variable on SCALE Measure: A numeric variable is displayed in standard numeric format. For example, numeric variable age can have values like 12,28 or 54.37 etc.
Numeric Variable on ORDINAL Measure: On an Ordinal Measure Numeric variable can be set a classes or categories like persons in the age group of 0-18, 19-28, 29-38 and so on. Numeric Variable on NOMINAL Measure: On a Nominal Measure, Numeric variable ca be take as groupings like 0 that stands for a Pass score or 1 for Fail or 0 to represent Male or 1 to represent Female or a few other things in the same manner. Then the Video learning shows how to switch to Data View and then enter age values of the 10 respondents and finally saves the data file ‘age.sav’.
SPSS SKILLS M P Kumar, PhD SPSS SKILLs
SPSS Skills 01: Know Your Data
https://youtu.be/-SRMvWo4iNw
SPSS Skills 02: Know Your Data (continued learning) SPSS Skills 03: Enter Your DATA
https://youtu.be/9o6-53qvEkA
SPSS Skills 04: Variable Types-part1
https://youtu.be/revQ-0THjHU
SPSS Skills 05: Variable Types-part 2
https://youtu.be/HTmZSA7Ig6g
SPSS Skills 06: Date Type of variable
https://youtu.be/GKM6B9WQ9Kw
https://youtu.be/ZUDl_Bc88II
SPSS Skills 07: Custom Currency
https://youtu.be/j8Y32OkSEp8
SPSS Skills 08: String variable
https://youtu.be/yZJo6wruDlM
SPSS Skills 09: Restricted Data Type SPSS skills 10: Starting your Research
https://youtu.be/LteC2FP1IVI https://youtu.be/e9E7lfNG6ZM