Knowledge

Variable and attribute (research)

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Values of each variable statistically "vary" (or are distributed) across the variable's domain. A domain is a set of all possible values that a variable is allowed to have. The values are ordered in a logical way and must be defined for each variable. Domains can be bigger or smaller. The smallest
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is an attribute that can be operationalized in many ways. It can be dichotomized so that only two values – "old" and "young" – are allowed for further data processing. In this case the attribute "age" is operationalized as a binary variable. If more than two values are possible and they can be
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The "social class" attribute can be operationalized in similar ways as age, including "lower", "middle" and "upper class" and each class could be differentiated between upper and lower, transforming thus changing the three attributes into six (see the
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set of attributes. Variables can "vary" – for example, be high or low. How high, or how low, is determined by the value of the attribute (and in fact, an attribute could be just the word "low" or "high").
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Semantically, greater precision can be obtained when considering an object's characteristics by distinguishing 'attributes' (characteristics that are attributed to an object) from '
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ordered, the attribute is represented by ordinal variable, such as "young", "middle age", and "old". Next it can be made of rational values, such as 1, 2, 3.... 99.
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is a quality of an object (person, thing, etc.). Attributes are closely related to variables. A
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possible domains have those variables that can only have two values, also called
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way in which the attribute is represented for further
128:) or it could use different terminology (such as the 108:' (characteristics that are inherent to the object). 201: 89:(or dichotomous) variables. Bigger domains have 185:, 12th edition, Wadsworth Publishing, 2009, 61:While an attribute is often intuitive, the 77:are often represented by a combination of 174: 172: 170: 168: 166: 14: 202: 126:model proposed by William Lloyd Warner 163: 93:variables and the ones with a higher 24: 25: 231: 183:The Practice of Social Research 13: 1: 7: 139: 111: 10: 236: 134:model by Gilbert and Kahl 27:Science and research term 156: 215:Variables (mathematics) 220:Statistical data types 73:. In data processing 95:level of measurement 99:domain of discourse 18:Variable (research) 53:(For example see: 151:Quantitative data 16:(Redirected from 227: 194: 176: 146:Qualitative data 21: 235: 234: 230: 229: 228: 226: 225: 224: 210:Social research 200: 199: 198: 197: 177: 164: 159: 142: 114: 91:non-dichotomous 71:data processing 67:operationalized 28: 23: 22: 15: 12: 11: 5: 233: 223: 222: 217: 212: 196: 195: 179:Earl R. Babbie 161: 160: 158: 155: 154: 153: 148: 141: 138: 113: 110: 26: 9: 6: 4: 3: 2: 232: 221: 218: 216: 213: 211: 208: 207: 205: 192: 191:0-495-59841-0 188: 184: 180: 175: 173: 171: 169: 167: 162: 152: 149: 147: 144: 143: 137: 135: 131: 130:working class 127: 121: 118: 109: 107: 102: 100: 96: 92: 88: 82: 80: 76: 72: 68: 64: 59: 58: 56: 55:Binary option 49: 45: 41: 37: 33: 19: 182: 122: 115: 103: 97:. (See also 90: 86: 83: 78: 62: 60: 52: 43: 39: 29: 204:Categories 193:, p. 14-18 132:as in the 40:attribute 140:See also 112:Examples 63:variable 44:variable 36:research 65:is the 48:logical 32:science 189:  106:traits 87:binary 157:Notes 79:items 46:is a 38:, an 187:ISBN 75:data 34:and 136:). 117:Age 101:.) 30:In 206:: 181:, 165:^ 57:) 20:)

Index

Variable (research)
science
research
logical
Binary option
operationalized
data processing
data
level of measurement
domain of discourse
traits
Age
model proposed by William Lloyd Warner
working class
model by Gilbert and Kahl
Qualitative data
Quantitative data





Earl R. Babbie
ISBN
0-495-59841-0
Categories
Social research
Variables (mathematics)
Statistical data types

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