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Variables

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VARIABLES

Variables
• anything that can take any value
• conditions which you manipulate or vary

Types of Variables

A. Based on Cause and Effect
1. Independent/Manipulated
• the “cause”; factor that is being tested or manipulated (can be controlled); the cause/condition that you provide for.

2. Dependent/Responding
• the “effect” or “observed”; the response to the manipulated factor; factors that are there inherently and are not changed/manipulated.

3. Extraneous/Constant
• all other variables other than the Independent Variable and the Dependent Variable that are kept constant in the experiment.

example
Problem:
The Effect of Classical and Rock Music on the Growth of 45-Day Chicken
IV: -Types of music, classical and rock music
DV: -Growth in terms of mass of chicken
EV: -age and mass of chicken at the start of the experiment -number of chicken per cage/treatment -environmental conditions -amount of feeds given -frequency of feeding -amount of water given, etc.

B. Based on the value taken by the variable 1. Continuous Variable - with fractional values (as in ratio and interval); has values in between whole numbers - examples: mass of chicken, age of chickens, temperatures, pH, etc.

2. Discrete/Discontinuous Variable - assume exact values; fixed (as in nominal and ordinal) - examples: number of chickens, number of types of feeds used, number of cages, number of people, etc.

C. Based on scales of measurement 1. Nominal -distinguishes a variable from all others by assigning a name or description. The name serves to identify the class or group and give qualitative distinction among groups. - examples: eye color- brown, blue, black blood type- A, B, AB, O year of graduation- batch 2003, batch 2004, batch 2005 group nos.- group 1, group 2, group 3 - numerical values assigned to represent various classes in a nominal scale have no quantitative property.

2. Ordinal/Ranking - refers to order of sequences - it is useful in measuring behaviour such as - degree of activity, motivation, resistance, amount of inhibition, damage, growth, healthiness - used when quantitative measurements are not possible or practical - examples: rank basketball players according to their “value” to the team rank in terms of palatability of cookies mutually exclusive classes - in a scale of 1-5, describe the degree of infections 1. no infection 2. more infection 3. even more infection : where the numbers 1-5 used are without quantitative basis and merely indicates the position and “how much” of a difference exist between positions on a scale. equal differences between two successive classes do not reflect equal differences in the amount of the attribute being measured 3. Interval - employs an arbitrary zero point which does not represent complete absence of the attribute - equal differences between successive classes to reflect equal differences in the amount of property/attribute measured - examples: I.Q., time, temperature, compass direction

4. Ratio - employs a true zero point (represent complete absence of the attribute) - same as interval in the sense that equal differences between the numbers assigned to successive classes equal differences in the amount of property/attribute measured - examples: height, weight, width, volume

Source:

Handouts from Research Trainings (1996 & 1997) conducted by Philippine Science High School Research Unit, Diliman, Quezon City.

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