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Likert scale

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category 3 and 4. In terms of good research practice, an equidistant presentation by the researcher is important; otherwise a bias in the analysis may result. For example, a four-point Likert item with categories "Poor", "Average", "Good", and "Very Good" is unlikely to have all equidistant categories since there is only one category that can receive a below-average rating. This would arguably bias any result in favor of a positive outcome. On the other hand, even if a researcher presents what he or she believes are equidistant categories, it may not be interpreted as such by the respondent.
1090:, measuring either positive or negative response to a statement. Sometimes an even-point scale is used, where the middle option of "neither agree nor disagree" is not available. This is sometimes called a "forced choice" method, since the neutral option is removed. The neutral option can be seen as an easy option to take when a respondent is unsure, and so whether it is a true neutral option is questionable. A 1987 study found negligible differences between the use of "undecided" and "neutral" as the middle option in a five-point Likert scale. 47: 1063:"balance". Symmetry means that they contain equal numbers of positive and negative positions whose respective distances apart are bilaterally symmetric about the "neutral"/zero value (whether or not that value is presented as a candidate). Balance means that the distance between each candidate value is the same, allowing for quantitative comparisons such as averaging to be valid across items containing more than two candidate values. 1040: 1108:). This effect may appear early in a test due to an expectation that questions which the subject has stronger views on may follow, such that on earlier questions one "leaves room" for stronger responses later in the test. This expectation creates bias that is especially pernicious in that its effects are not uniform throughout the test and cannot be corrected for through simple across-the-board normalization; 1197:, if well presented it may nevertheless approximate an interval-level measurement. This can be beneficial since, if it was treated just as an ordinal scale, then some valuable information could be lost if the 'distance' between Likert items were not available for consideration. The important idea here is that the appropriate type of analysis is dependent on how the Likert scale has been presented. 843: 987: 1181:
range from 2 to 10 – with 3, 5, or, 7 being the most common. Further, this progressive structure of the scale is such that each successive Likert item is treated as indicating a 'better' response than the preceding value. (This may differ in cases where reverse ordering of the Likert scale is needed).
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An important part of data analysis and presentation is the visualization (or plotting) of data. The subject of plotting Likert (and other) rating data is discussed at length in two papers by Robbins and Heiberger. In the first they recommend the use of what they call diverging stacked bar charts and
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Likert distinguished between a scale proper, which emerges from collective responses to a set of items (usually eight or more), and the format in which responses are scored along a range. Technically speaking, a Likert scale refers only to the former. The difference between these two concepts has to
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Research by Labovitz and Traylor provide evidence that, even with rather large distortions of perceived distances between scale points, Likert-type items perform closely to scales that are perceived as equal intervals. So these items and other equal-appearing scales in questionnaires are robust to
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A scale can be created as the simple sum or average of questionnaire responses over the set of individual items (questions). In so doing, Likert scaling assumes distances between each choice (answer option) are equal. Many researchers employ a set of such items that are highly correlated (that show
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Designing a scale with balanced keying (an equal number of positive and negative statements and, especially, an equal number of positive and negative statements regarding each position or issue in question) can obviate the problem of acquiescence bias, since acquiescence on positively keyed items
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can be determined). The value assigned to each Likert item is simply determined by the researcher designing the survey, who makes the decision based on a desired level of detail. However, by convention Likert items tend to be assigned progressive positive integer values. Likert scales typically
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Whether individual Likert items can be considered as interval-level data, or whether they should be treated as ordered-categorical data is the subject of considerable disagreement in the literature, with strong convictions on what are the most applicable methods. This disagreement can be traced
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The second, and possibly more important point, is whether the "distance" between each successive item category is equivalent, which is inferred traditionally. For example, in the above five-point Likert item, the inference is that the 'distance' between category 1 and 2 is the same as between
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Notions of central tendency are often applicable at the item level – that is responses often show a quasi-normal distribution. The validity of such measures depends on the underlying interval nature of the scale. If interval nature is assumed for a comparison of two groups, the paired samples
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A Likert item is simply a statement that the respondent is asked to evaluate by giving it a quantitative value on any kind of subjective or objective dimension, with level of agreement/disagreement being the dimension most commonly used. Well-designed Likert items exhibit both "symmetry" and
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of categories about a midpoint with clearly defined linguistic qualifiers. In such symmetric scaling, equidistant attributes will typically be more clearly observed or, at least, inferred. It is when a Likert scale is symmetric and equidistant that it will behave more like an interval-level
965:) but also that together will capture the full domain under study (which requires less-than perfect correlations). Others hold to a standard by which "All items are assumed to be replications of each other or in other words items are considered to be parallel instruments". By contrast, 1059:(e.g., a horizontal line, on which the subject indicates a response by circling or checking tick-marks), an individual item is itself sometimes erroneously referred to as being or having a scale, with this error creating pervasive confusion in the literature and parlance of the field. 1124:
Disagree with sentences as presented out of a defensive desire to avoid making erroneous statements and/or avoid negative consequences that respondents may fear will result from their answers being used against them, especially if misinterpreted and/or taken out of
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that the statements reflect increasing levels of an attitude or trait, as intended. For example, application of the model often indicates that the neutral category does not represent a level of attitude or trait between the disagree and agree categories.
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When responding to a Likert item, respondents specify their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. Thus, the range captures the intensity of their feelings for a given item.
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model, preserving the ordering of responses without the assumption of an interval scale. The use of an ordered probit model can prevent errors that arise when treating ordered ratings as interval-level measurements.
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After the questionnaire is completed, each item may be analyzed separately or in some cases item responses may be summed to create a score for a group of items. Hence, Likert scales are often called summative scales.
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Responses to several Likert questions may be summed providing that all questions use the same Likert scale and that the scale is a defensible approximation to an interval scale, in which case the
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Carifio, James; Perla, Rocco (2007). "Ten Common Misunderstandings, Misconceptions, Persistent Myths and Urban Legends about Likert Scales and Likert Response Formats and their Antidotes".
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There are two primary considerations in this discussion. First, Likert scales are arbitrary. The value assigned to a Likert item has no objective numerical basis, either in terms of
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Try to portray themselves or their organization in a light that they believe the examiner or society to consider less favorable/more unfavorable than their true beliefs (
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do with the distinction Likert made between the underlying phenomenon being investigated and the means of capturing variation that points to the underlying phenomenon.
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compare them to other plotting styles. The second paper describes the use of the Likert function in the HH package for R, and gives many examples of its use.
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Try to portray themselves or their organization in a light that they believe the examiner or society to consider more favorable than their true beliefs (
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can be applied. Typical cutoffs for thinking that this approximation will be acceptable is a minimum of four and preferably eight items in the sum.
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will balance acquiescence on negatively keyed items, but defensive, central tendency, and social desirability biases are somewhat more problematic.
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Not every set of Likert scaled items can be used for Rasch measurement. The data has to be thoroughly checked to fulfill the strict formal
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violations of the equal distance assumption many researchers believe are required for parametric statistical procedures and tests.
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Likert scale data can, in principle, be used as a basis for obtaining interval level estimates on a continuum by applying the
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data measuring a latent variable. If the summed responses fulfill these assumptions, parametric statistical tests such as the
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Provide answers that they believe will be evaluated as indicating weakness or presence of impairment/pathology ("faking bad");
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van Alphen, A.; Halfens, R.; Hasman, A.; Imbos, T. (1994). "Likert or Rasch? Nothing is more applicable than good theory".
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Provide answers that they believe will be evaluated as indicating strength or lack of weakness/dysfunction ("faking good");
1896: 1004: 827: 481: 146: 112: 2498: 1542: 939:. It is the most widely used approach to scaling responses in survey research, such that the term (or more fully the 790: 116: 66: 1524: 1372:, so, if you are prepared to accept the raw scores as valid, then you can also accept the Rasch measures as valid. 1268: 807: 305: 997: 1252: 1206: 797: 633: 366: 236: 102: 1352:, when data can be obtained that fit this model. In addition, the polytomous Rasch model permits testing of the 1136: 1105: 356: 191: 1256: 1087: 866: 606: 596: 566: 446: 431: 396: 316: 311: 211: 2488: 1349: 591: 521: 511: 491: 476: 406: 376: 296: 201: 1248: 1554: 1365: 1293: 1228: 1213: 1056: 822: 647: 576: 551: 456: 381: 341: 301: 286: 251: 224: 151: 1333: 2098: 1478: 1289: 1221: 1217: 1194: 1166: 1118: 970: 966: 962: 817: 671: 619: 586: 556: 391: 361: 351: 281: 266: 61: 56: 46: 1236: 691: 436: 336: 174: 161: 2224:"Interval level measurement with visual analogue scales in Internet-based research: VAS Generator" 2166: 2300: 2204: 2027: 1981: 1931: 1512: 1104:), especially out of a desire to avoid being perceived as having extremist views (an instance of 859: 501: 496: 416: 371: 321: 291: 271: 131: 108: 1871: 1864: 1769: 1762: 1527: – Design of a questionnaire to gather statistically useful information about a given topic 767: 1243:
are common statistical procedures used after this transformation. Non-parametric tests such as
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s. Because many Likert scales pair each constituent Likert item with its own instance of a
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Norman, Geoff (2010). "Likert scales, levels of measurement and the "laws" of statistics".
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Derrick, B; White, P (2017). "Comparing Two Samples from an Individual Likert Question".
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Pratt, J. (1959). "Remarks on zeros and ties in the Wilcoxon signed rank procedures".
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back, in many respects, to the extent to which Likert items are interpreted as being
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Likert scales may be subject to distortion from several causes. Respondents may:
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An example questionnaire about a website design, with answers as a Likert scale
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Armstrong, Robert (1987). "The midpoint on a Five-Point Likert-Type Scale".
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Rusch, Thomas; Lowry, Paul B.; Mair, Patrick; Treiblmaier, Horst (2017).
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The five response categories are often believed to represent an interval
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Labovitz, S. (1967). "Some observations on measurement and statistics".
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To model binary Likert responses directly, they may be represented in a
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The format of a typical five-level Likert item, for example, could be:
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Paired Comparison Intransitivity: Useful Information or Nuisance?
2195:. Vol. 57. American Statistical Association. pp. 1–32. 2454:"Correlation scatter-plot matrix for ordered-categorical data" 2318:
Traylor, Mark (October 1983). "Ordinal and interval scaling".
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Alternatively, Likert scale responses can be analyzed with an
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form by summing agree and disagree responses separately. The
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scale named after its inventor, American social psychologist
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Meyers, Lawrence S.; Guarino, Anthony; Gamst, Glenn (2005).
1648:"What is a Likert Scale? and How Do You Pronounce 'Likert?'" 1572: – Method by which voters make a choice between options 2263:
Johanson, George A.; Gips, Crystal J. (April 12–16, 1993).
1870:(Second ed.). New Jersey: Pearson Education. pp.  1768:(Second ed.). New Jersey: Pearson Education. pp.  1601: 1432: 1395: 902: 2399:
Work Motivation: History, Theory, Research, And Practice
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Applied Multivariate Research: Design and Interpretation
2046:"Likert Scale Explanation - With an Interactive Example" 1672:(1932). "A Technique for the Measurement of Attitudes". 2176:. American Statistical Association. pp. 1058–1066. 1259:. are often used in the analysis of Likert scale data. 973:) as information to be incorporated in scaling items. 1619: 1604: 1566: – First formal technique to measure an attitude 1521: – Series of questions for gathering information 1450: 1435: 1413: 1398: 1121:
that encourages and incentivizes eagerness to please;
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Pages displaying wikidata descriptions as a fallback
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JSM Proceedings, Section on Survey Research Methods
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International Journal of Mathematics and Statistics
1595: 1426: 1389: 949:, although there are other types of rating scales. 896: 1863: 1761: 1383:, the developer of the scale, pronounced his name 1308:rated with a Likert scale circular relations like 1515: – Psychometric scale used in questionnaires 1193:measurement. So while a Likert scale is indeed 2341:. Belmont, CA: Thomson Wadsworth. p. 174. 2072:Journal of the American Statistical Association 1533: – Type of informational measurement scale 1487: – Scale and method in clinical psychology 1368:for the Rasch measures, a deliberate choice by 1997: 1995: 1364:of the model. However, the raw scores are the 1188:A good Likert scale, as above, will present a 2222:Reips, Ulf-Dietrich; Funke, Frederik (2008). 1706: 1704: 1702: 867: 8: 2438:Research Methods Knowledge Base, 2nd Edition 2103:Learning Technology Dissemination Initiative 2432:Trochim, William M. K. (October 20, 2006). 1895:Allen, Elaine; Seaman, Christopher (2007). 874: 860: 45: 29: 2239: 2187:Heiberger, R. M.; Robbins, N. B. (2014). 2167:"Plotting Likert and Other Rating Scales" 2165:Robbins, N. B.; Heiberger, R. M. (2011). 2149: 2130:Journal of Experimental Social Psychology 1728: 1726: 1097:Avoid using extreme response categories ( 1027:Learn how and when to remove this message 969:treats the difficulty of each item (the 2473:Likert scales: Dispelling the confusion 1638: 1582: 1481: – Plot used in psychodrama groups 1275:Visual presentation of Likert-type data 37: 2320:Journal of the Market Research Society 2004:Advances in Health Sciences Education 943:) is often used interchangeably with 935:, which is commonly used in research 7: 2099:"So You Want to Use a Likert Scale?" 1951:"Likert Scales: How to (Ab)use Them" 1862:Burns, Alvin; Burns, Ronald (2008). 1760:Burns, Alvin; Burns, Ronald (2008). 1646:Wuensch, Karl L. (October 4, 2005). 1111:Agree with statements as presented ( 1009:adding citations to reliable sources 1807:10.1046/j.1365-2648.1994.20010196.x 1469: – Scale of perceived exertion 1051:is the sum of responses on several 1693:Summated Rating Scale Construction 25: 1897:"Likert Scales and Data Analyses" 1545: – Self-report questionnaire 1970:10.1111/j.1365-2929.2004.02012.x 1591: 1422: 1385: 1216:allows treatment of the data as 985: 892: 841: 2193:Journal of Statistical Software 996:needs additional citations for 427:Peace, war, and social conflict 2097:Mogey, Nora (March 25, 1999). 2084:10.1080/01621459.1959.10501526 1473:Bogardus social distance scale 1332:can appear. This violates the 27:Psychometric measurement scale 1: 2370:. Sage Publications. p.  2339:The Basics of Social Research 1837:Information & Management 1086:Likert scaling is a bipolar 1916:Perceptual and Motor Skills 1795:Journal of Advanced Nursing 1543:Rosenberg self-esteem scale 2515: 2494:Questionnaire construction 2452:Galili, Tal (2010-04-07). 2142:10.1016/j.jesp.2018.08.009 1735:Journal of Social Sciences 1650:. East Carolina University 1589:Commonly mispronounced as 1525:Questionnaire construction 1269:Consensus-based assessment 1076:Neither agree nor disagree 98:Human environmental impact 2228:Behavior Research Methods 2016:10.1007/s10459-010-9222-y 1928:10.2466/pms.1987.64.2.359 1747:10.3844/jssp.2007.106.116 1253:Wilcoxon signed-rank test 1207:Wilcoxon signed-rank test 2395:Latham, Gary P. (2006). 2337:Babbie, Earl R. (2005). 2105:. 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2410: 2406: 2401: 2400: 2391: 2388: 2383: 2377: 2373: 2368: 2367: 2358: 2355: 2350: 2344: 2340: 2333: 2330: 2326:(4): 297–303. 2325: 2321: 2314: 2311: 2306: 2302: 2298: 2294: 2290: 2286: 2285:Social Forces 2279: 2276: 2268: 2267: 2259: 2256: 2251: 2247: 2242: 2237: 2233: 2229: 2225: 2218: 2215: 2210: 2206: 2202: 2198: 2194: 2190: 2183: 2180: 2175: 2168: 2161: 2158: 2152: 2147: 2143: 2139: 2135: 2131: 2127: 2124:Liddell, T.; 2120: 2117: 2104: 2100: 2093: 2090: 2085: 2081: 2077: 2073: 2066: 2063: 2051: 2047: 2041: 2038: 2033: 2029: 2025: 2021: 2017: 2013: 2009: 2005: 1998: 1996: 1992: 1987: 1983: 1979: 1975: 1971: 1967: 1963: 1959: 1952: 1945: 1942: 1937: 1933: 1929: 1925: 1921: 1917: 1910: 1907: 1902: 1898: 1891: 1888: 1883: 1877: 1873: 1868: 1867: 1858: 1855: 1850: 1846: 1842: 1838: 1831: 1824: 1821: 1816: 1812: 1808: 1804: 1800: 1796: 1789: 1786: 1781: 1775: 1771: 1766: 1765: 1756: 1753: 1748: 1744: 1740: 1736: 1729: 1727: 1723: 1718: 1714: 1707: 1705: 1703: 1699: 1694: 1687: 1684: 1679: 1675: 1671: 1665: 1662: 1649: 1642: 1639: 1632: 1625: 1624: 1615: 1586: 1583: 1576: 1571: 1570:Voting system 1568: 1565: 1562: 1556: 1553: 1550: 1547: 1544: 1541: 1538: 1535: 1532: 1529: 1526: 1523: 1520: 1519:Questionnaire 1517: 1514: 1511: 1509: 1506: 1504: 1501: 1498: 1497:Guttman scale 1495: 1492: 1489: 1486: 1483: 1480: 1477: 1474: 1471: 1468: 1465: 1464: 1460: 1458: 1456: 1455: 1446: 1419: 1418: 1409: 1382: 1381:Rensis Likert 1376:Pronunciation 1375: 1373: 1371: 1367: 1363: 1358: 1355: 1351: 1343: 1341: 1337: 1335: 1295: 1291: 1283: 1281: 1274: 1272: 1270: 1265: 1260: 1258: 1254: 1250: 1246: 1242: 1238: 1234: 1230: 1225: 1223: 1219: 1215: 1210: 1208: 1198: 1196: 1191: 1186: 1182: 1179: 1175: 1170: 1168: 1162: 1155: 1153: 1146: 1145:norm defiance 1142: 1139: 1138: 1133: 1130: 1127: 1123: 1120: 1116: 1115: 1110: 1107: 1103: 1101: 1096: 1095: 1094: 1091: 1089: 1081: 1078: 1075: 1072: 1069: 1068: 1067: 1064: 1060: 1058: 1054: 1050: 1041: 1031: 1028: 1020: 1010: 1006: 1000: 999: 994:This section 992: 988: 983: 982: 976: 974: 972: 968: 964: 958: 954: 950: 948: 947: 942: 938: 934: 933:Rensis Likert 930: 926: 925: 916: 889: 877: 872: 870: 865: 863: 858: 857: 855: 854: 849: 844: 839: 838: 837: 836: 829: 826: 824: 821: 819: 816: 814: 813:Organizations 811: 809: 806: 804: 801: 799: 796: 795: 792: 787: 786: 781: 777: 773: 769: 765: 762: ·  761: 758: ·  757: 753: 749: 745: 741: 737: 733: 729: 725: 721: 718: ·  717: 714: 711: 709: 705: 701: 697: 693: 689: 685: 681: 677: 673: 669: 665: 661: 657: 653: 650: ·  649: 645: 642: 635: 631: 628: 625: 624: 621: 616: 615: 608: 605: 603: 600: 598: 595: 593: 590: 588: 585: 583: 580: 578: 575: 573: 570: 568: 567:Computational 565: 563: 560: 558: 555: 553: 550: 549: 546: 541: 540: 533: 530: 528: 525: 523: 520: 518: 515: 513: 510: 508: 505: 503: 500: 498: 495: 493: 490: 488: 485: 483: 480: 478: 475: 472: 468: 465: 463: 460: 458: 455: 453: 450: 448: 445: 443: 440: 438: 435: 433: 430: 428: 425: 423: 420: 418: 415: 413: 410: 408: 405: 403: 400: 398: 395: 393: 390: 388: 385: 383: 380: 378: 375: 373: 370: 368: 365: 363: 360: 358: 355: 353: 350: 348: 345: 343: 340: 338: 335: 333: 330: 328: 325: 323: 320: 318: 315: 313: 312:Environmental 310: 307: 303: 300: 298: 295: 293: 290: 288: 285: 283: 280: 278: 275: 273: 270: 268: 265: 263: 262:Consciousness 260: 258: 255: 253: 250: 248: 245: 243: 240: 238: 235: 233: 230: 229: 226: 221: 220: 213: 210: 208: 205: 203: 200: 198: 195: 193: 190: 188: 185: 183: 180: 179: 176: 171: 170: 163: 160: 158: 155: 153: 150: 148: 145: 143: 142:Social equity 140: 138: 135: 133: 130: 128: 125: 123: 120: 118: 114: 110: 106: 104: 101: 99: 96: 94: 91: 89: 88:Globalization 86: 84: 81: 80: 74: 73: 68: 65: 63: 60: 58: 55: 54: 53: 52: 48: 44: 43: 40: 36: 32: 31: 19: 2461:. Retrieved 2457: 2441:. Retrieved 2437: 2398: 2390: 2365: 2357: 2338: 2332: 2323: 2319: 2313: 2288: 2284: 2278: 2265: 2258: 2231: 2227: 2217: 2192: 2182: 2173: 2160: 2133: 2129: 2126:Kruschke, J. 2119: 2107:. Retrieved 2102: 2092: 2075: 2071: 2065: 2053:. Retrieved 2049: 2040: 2007: 2003: 1961: 1957: 1944: 1919: 1915: 1909: 1900: 1890: 1865: 1857: 1840: 1836: 1823: 1798: 1794: 1788: 1763: 1755: 1738: 1734: 1716: 1712: 1692: 1686: 1677: 1673: 1664: 1654:December 16, 1652:. Retrieved 1641: 1585: 1537:Rating sites 1531:Rating scale 1508:Mokken scale 1485:Discan scale 1379: 1359: 1347: 1338: 1287: 1278: 1261: 1241:McNemar test 1226: 1211: 1199: 1189: 1187: 1183: 1171: 1163: 1159: 1150: 1144: 1135: 1112: 1098: 1092: 1085: 1065: 1061: 1052: 1049:Likert scale 1048: 1046: 1023: 1014: 1003:Please help 998:verification 995: 959: 955: 951: 946:rating scale 944: 940: 929:psychometric 888:Likert scale 887: 885: 798:Bibliography 712: 640: 639: 626: 592:Mathematical 572:Ethnographic 552:Quantitative 237:Architecture 175:Perspectives 147:Social power 2463:November 7, 2136:: 328–348. 1549:Satisficing 1370:Georg Rasch 1344:Rasch model 1233:chi-squared 1053:Likert item 977:Composition 803:Terminology 772:Baudrillard 648:Tocqueville 562:Comparative 557:Qualitative 527:Victimology 357:Immigration 342:Generations 257:Criminology 2483:Categories 2151:2022/21970 2050:SurveyKing 1719:(3): 1–13. 1633:References 1467:Borg scale 1354:hypothesis 828:By country 582:Historical 507:Technology 447:Punishment 432:Philosophy 407:Mathematic 397:Literature 362:Industrial 352:Historical 277:Demography 197:Positivism 122:Popularity 77:Key themes 2443:April 30, 2109:April 30, 2055:13 August 1936:145705789 1017:June 2023 644:Martineau 587:Interview 512:Terrorism 492:Sociology 437:Political 377:Knowledge 297:Education 39:Sociology 2250:18697664 2209:61139330 2024:20146096 1986:42509064 1978:15566531 1503:Ipsative 1491:K-factor 1461:See also 1304:,  1300:,  1229:binomial 1218:interval 1190:symmetry 1125:context; 1073:Disagree 927:,) is a 823:Timeline 808:Journals 776:Bourdieu 768:Habermas 764:Luhmann 760:Foucault 704:Mannheim 684:Durkheim 457:Religion 417:Military 382:Language 367:Internet 322:Feminist 306:Jealousy 292:Economic 287:Disaster 282:Deviance 225:Branches 103:Identity 2475:. 2006. 2305:2574595 2032:6566608 1815:7930122 1695:. Sage. 1680:: 1–55. 1195:ordinal 1167:ordinal 780:Giddens 778:·  774:·  766:·  754:·  752:Goffman 748:Schoeck 734:·  726:·  702:·  700:Du Bois 698:·  690:·  686:·  678:·  672:Tönnies 670:·  656:Spencer 654:·  632:·  545:Methods 522:Utopian 467:Science 412:Medical 402:Marxist 392:Leisure 302:Emotion 267:Culture 83:Society 62:Outline 57:History 2411:  2378:  2345:  2303:  2248:  2207:  2030:  2022:  1984:  1976:  1934:  1878:  1813:  1776:  1362:axioms 1169:data. 818:People 756:Bauman 736:Nisbet 732:Merton 724:Gehlen 720:Adorno 713:1900s: 688:Addams 680:Simmel 676:Veblen 668:Pareto 660:Le Bon 641:1800s: 634:Sieyès 627:1700s: 607:Survey 532:Visual 442:Public 347:Health 337:Gender 327:Fiscal 317:Family 2301:JSTOR 2270:(PDF) 2205:S2CID 2170:(PDF) 2028:S2CID 1982:S2CID 1954:(PDF) 1932:S2CID 1833:(PDF) 1623:-kərt 1577:Notes 1454:-kərt 1255:, or 1239:, or 1079:Agree 961:high 791:Lists 740:Mills 716:Fromm 708:Elias 696:Weber 630:Comte 517:Urban 502:Sport 497:Space 462:Rural 422:Music 372:Jewry 272:Death 232:Aging 67:Index 2465:2017 2445:2009 2409:ISBN 2376:ISBN 2343:ISBN 2246:PMID 2111:2009 2057:2017 2020:PMID 1974:PMID 1876:ISBN 1811:PMID 1774:ISBN 1656:2023 1417:-ərt 1324:and 1102:bias 971:ICCs 924:-ərt 744:Bell 728:Aron 692:Mead 664:Ward 652:Marx 332:Food 252:Body 2293:doi 2236:doi 2197:doi 2146:hdl 2138:doi 2080:doi 2012:doi 1966:doi 1924:doi 1872:250 1845:doi 1803:doi 1770:245 1743:doi 1678:140 1415:LIK 1007:by 922:LIK 387:Law 242:Art 2485:: 2456:. 2436:. 2407:. 2405:15 2374:. 2372:20 2324:25 2322:. 2299:. 2289:46 2287:. 2244:. 2232:40 2230:. 2226:. 2203:. 2191:. 2172:. 2144:. 2134:79 2132:. 2101:. 2076:54 2074:. 2048:. 2026:. 2018:. 2008:15 2006:. 1994:^ 1980:. 1972:. 1962:38 1960:. 1956:. 1930:. 1920:64 1918:. 1899:. 1874:. 1841:54 1839:. 1835:. 1809:. 1799:20 1797:. 1772:. 1737:. 1725:^ 1717:18 1715:. 1701:^ 1676:. 1621:LY 1608:ər 1602:aɪ 1457:. 1452:LY 1439:ər 1433:aɪ 1402:ər 1316:, 1251:, 1247:, 1235:, 1209:. 1047:A 909:ər 886:A 770:· 750:· 746:· 742:· 738:· 730:· 722:· 706:· 694:· 682:· 674:· 666:· 662:· 658:· 646:· 115:/ 111:/ 2467:. 2447:. 2417:. 2384:. 2351:. 2307:. 2295:: 2252:. 2238:: 2211:. 2199:: 2154:. 2148:: 2140:: 2113:. 2086:. 2082:: 2059:. 2034:. 2014:: 1988:. 1968:: 1938:. 1926:: 1884:. 1851:. 1847:: 1817:. 1805:: 1782:. 1749:. 1745:: 1739:3 1658:. 1614:/ 1611:t 1605:k 1599:l 1596:ˈ 1593:/ 1445:/ 1442:t 1436:k 1430:l 1427:ˈ 1424:/ 1408:/ 1405:t 1399:k 1396:ɪ 1393:l 1390:ˈ 1387:/ 1330:A 1326:C 1322:C 1318:B 1314:B 1310:A 1306:C 1302:B 1298:A 1203:t 1030:) 1024:( 1019:) 1015:( 1001:. 915:/ 912:t 906:k 903:ɪ 900:l 897:ˈ 894:/ 890:( 875:e 868:t 861:v 473:) 469:( 308:) 304:( 117:5 113:4 109:3 20:)

Index

Likert scaling
Sociology

History
Outline
Index
Society
Globalization
Human behavior
Human environmental impact
Identity
3
4
5
Popularity
Social complexity
Social environment
Social equality
Social equity
Social power
Social stratification
Social structure
Social cycle theory
Perspectives
Conflict theory
Critical theory
Structural functionalism
Positivism
Social constructionism
Social darwinism

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