Levels of Data PDF
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This document explains different types of data, such as nominal, ordinal, interval, and ratio data, and how they are used in research. It also provides examples and definitions for each type of data, and discusses categorical and discrete data.
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# Levels of Data - Stevens - 1946 - Measurement - Nominal - Discrete - Ordinal - Discrete - Interval - Continuous - Ratio - Continuous - SPSS - nomis, ordi, inter & ratio ## Discrete Data - Qualitative object ক...
# Levels of Data - Stevens - 1946 - Measurement - Nominal - Discrete - Ordinal - Discrete - Interval - Continuous - Ratio - Continuous - SPSS - nomis, ordi, inter & ratio ## Discrete Data - Qualitative object কে. - Quantitative বানানোর চেষ্টা - No decimal ## Nominal/ Categorical - No real numerical value - No order of equal - Made BIO - 1+2+3+4 - Real Discrete - Gender - Nationality - Pass/fail - only used for classification - Like - Roll No - Data, has no numerical value - Not derived from any numerical value - Purely qualitative - Just for the sake of representation ## Artificial Discrete - Pass low on high - Criteria reference test - Non- test - Transformed data - Continuous data can have 45.5, 48.2 - To nominal (Pass/ Fail) - For simplification - Exp - low/ high - 70 - 120 - - Desirable Pass/Fail - Undesirable only one is possible. - Dichotomous data ## MCQ - right/wrong - You can answer only one option, either right or wrong. - ## Demographic data - All except age: Name, Profession, Edu, Religion - Nominal Data ## Ordinal Data - Can be categorized - Can be arranged in ranks - Rank order of magnitude - Discrete data - No hidden numbers are present - **Preference of perfume:** - Real Discrete - Qualitative - **Preference of Colleges:** - Discrete - Qualitative - **Birth order:** - Artificially Discrete - **Socio-eco status:** - Artificially Discrete - **Grades in school:** - Artificially Discrete - **Birth order:** - Defined by age - Ratio - depends on - SES - Mid, L, H - income - Grade - Academic marks - depends on - **Continuous Data** - Have hidden numbers - **Artificially Discrete** - Continues ## Interval Data - Can name, classify, rank - Magnitude, size (অনুসারী) - Can be arranged - Equal intervals - Decimal values possible - No true zero - **Temperature in Celsius:** - These have temp, 20s, brain - No true 0 - 30-40 = temp dif - 40-50 = by equal interval - Same difference - **Intelligence quotient** - **Academic Score** ## Interval Data - 30°C - 40°C - 50°C - +5 - +5 - +5 - addition or subtraction - can be done - 84.2°C (decimal) - # or = - > or < ## Ratio Data - Continuous - Decimal - Classify or categorize - Rank or magnitude - Equal interval - True zero - **Age :** - সবে ডজন্মেছে - 0 = no length - **Height/Length:** - 0 = no length - **Speed:** - At rest is not true - **Weight:** - - 0 object is not there - **Temperature in Kelvin:** - o = no heat - 0= Complete absence - # or != - > or < - x or = - + or -