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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.
36: 1079:, 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. 1029: 832: 976: 1052:"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. 1097:). 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; 1186:, 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. 1170:
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
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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");
1885: 2482: 862: 459: 959: 928:. It is the most widely used approach to scaling responses in survey research, such that the term (or more fully the 1607: 1438: 1401: 1015: 908: 801: 791: 495: 455: 1322: 1361:, so, if you are prepared to accept the raw scores as valid, then you can also accept the Rasch measures as valid. 250: 550: 335: 86: 1341:, when data can be obtained that fit this model. In addition, the polytomous Rasch model permits testing of the 1461: 997: 993: 816: 470: 135: 101: 2487: 1531: 779: 105: 55: 1513: 1257: 796: 294: 2087: 1241: 1195: 786: 355: 225: 91: 622: 1125: 1094: 345: 180: 2213:"Interval level measurement with visual analogue scales in Internet-based research: VAS Generator" 2155: 1245: 1093:), especially out of a desire to avoid being perceived as having extremist views (an instance of 1076: 986: 855: 595: 585: 555: 435: 420: 385: 305: 300: 200: 1860: 1853: 1758: 1751: 1516: – Design of a questionnaire to gather statistically useful information about a given topic 2477: 1338: 1232:
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
1102: 708: 652: 632: 590: 570: 400: 390: 320: 170: 115: 2197: 2117:(2018). "Analyzing ordinal data with metric models: What could possibly go wrong?". 1974: 1636: 672: 2281: 2261:. The Annual Meeting of the American Educational Research Association. Atlanta, GA. 2224: 2185: 2134: 2126: 2114: 2072: 2068: 2020: 2000: 1954: 1912: 1833: 1791: 1731: 1581: 1412: 1375: 1233: 1221: 1088: 882: 760: 720: 664: 520: 475: 430: 375: 315: 230: 195: 145: 35: 2253: 2178:"Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications" 1552: 1166: 1082:
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?
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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).
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Johanson, George A.; Gips, Crystal J. (April 12–16, 1993).
1859:(Second ed.). New Jersey: Pearson Education. pp.  1757:(Second ed.). New Jersey: Pearson Education. pp.  1590: 1421: 1263: 1816: 1384: 891: 2388:
Work Motivation: History, Theory, Research, And Practice
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Applied Multivariate Research: Design and Interpretation
2035:"Likert Scale Explanation - With an Interactive Example" 1661:(1932). "A Technique for the Measurement of Attitudes". 2165:. American Statistical Association. pp. 1058–1066. 1248:. are often used in the analysis of Likert scale data. 962:) as information to be incorporated in scaling items. 1608: 1593: 1555: – First formal technique to measure an attitude 1510: – Series of questions for gathering information 1439: 1424: 1402: 1387: 1110:
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
1584: 1415: 1378: 938:, although there are other types of rating scales. 885: 2350: 1852: 1750: 1372:, the developer of the scale, pronounced his name 1297:rated with a Likert scale circular relations like 1504: – Psychometric scale used in questionnaires 2469: 2175: 2153: 1182:measurement. So while a Likert scale is indeed 2330:. Belmont, CA: Thomson Wadsworth. p. 174. 2112: 2061:Journal of the American Statistical Association 1522: – Type of informational measurement scale 1476: – Scale and method in clinical psychology 1357:for the Rasch measures, a deliberate choice by 1986: 1984: 1353:of the model. However, the raw scores are the 1177:A good Likert scale, as above, will present a 2211:Reips, Ulf-Dietrich; Funke, Frederik (2008). 1695: 1693: 1691: 856: 2427:Research Methods Knowledge Base, 2nd Edition 2251: 2092:Learning Technology Dissemination Initiative 1775: 1721: 1699: 2421:Trochim, William M. K. (October 20, 2006). 1981: 1884:Allen, Elaine; Seaman, Christopher (2007). 1883: 2210: 1850: 1748: 1688: 863: 849: 34: 2228: 2176:Heiberger, R. M.; Robbins, N. B. (2014). 2156:"Plotting Likert and Other Rating Scales" 2154:Robbins, N. B.; Heiberger, R. M. (2011). 2138: 2119:Journal of Experimental Social Psychology 1902: 1717: 1715: 1086:Avoid using extreme response categories ( 1016:Learn how and when to remove this message 2271: 1937: 1027: 958:treats the difficulty of each item (the 2462:Likert scales: Dispelling the confusion 2420: 2306: 2106: 1679: 1634: 1470: – Plot used in psychodrama groups 1272: 1264:Visual presentation of Likert-type data 1144: 2470: 2440: 2383: 2325: 2309:Journal of the Market Research Society 1990: 1712: 1657: 2085: 2079: 2058: 2052: 1993:Advances in Health Sciences Education 932:) is often used interchangeably with 924:, which is commonly used in research 2088:"So You Want to Use a Likert Scale?" 1940:"Likert Scales: How to (Ab)use Them" 1851:Burns, Alvin; Burns, Ronald (2008). 1749:Burns, Alvin; Burns, Ronald (2008). 1635:Wuensch, Karl L. (October 4, 2005). 1100:Agree with statements as presented ( 998:adding citations to reliable sources 969: 1796:10.1046/j.1365-2648.1994.20010196.x 1458: – Scale of perceived exertion 1040:is the sum of responses on several 13: 1682:Summated Rating Scale Construction 14: 2499: 2414: 1886:"Likert Scales and Data Analyses" 1534: – Self-report questionnaire 1959:10.1111/j.1365-2929.2004.02012.x 1580: 1411: 1374: 1364: 1205:allows treatment of the data as 974: 881: 830: 2377: 2344: 2319: 2300: 2265: 2245: 2204: 2182:Journal of Statistical Software 2169: 2147: 2027: 1931: 1896: 1877: 1844: 985:needs additional citations for 416:Peace, war, and social conflict 2086:Mogey, Nora (March 25, 1999). 2073:10.1080/01621459.1959.10501526 1810: 1742: 1673: 1651: 1628: 1572: 1462:Bogardus social distance scale 1332: 1321:can appear. This violates the 965: 16:Psychometric measurement scale 1: 2359:. Sage Publications. p.  2328:The Basics of Social Research 1621: 1826:Information & Management 1075:Likert scaling is a bipolar 7: 1905:Perceptual and Motor Skills 1784:Journal of Advanced Nursing 1532:Rosenberg self-esteem scale 1449: 10: 2504: 2483:Questionnaire construction 2441:Galili, Tal (2010-04-07). 2131:10.1016/j.jesp.2018.08.009 1724:Journal of Social Sciences 1639:. East Carolina University 1578:Commonly mispronounced as 1514:Questionnaire construction 1258:Consensus-based assessment 1065:Neither agree nor disagree 87:Human environmental impact 2217:Behavior Research Methods 2005:10.1007/s10459-010-9222-y 1917:10.2466/pms.1987.64.2.359 1736:10.3844/jssp.2007.106.116 1242:Wilcoxon signed-rank test 1196:Wilcoxon signed-rank test 2384:Latham, Gary P. (2006). 2326:Babbie, Earl R. (2005). 2094:. 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151:Social cycle theory 22:Part of a series on 2488:Survey methodology 2460:Uebersax, John S. 1034: 956:modern test theory 837:Society portal 460:History of science 441:Race and ethnicity 121:Social environment 2447:R-statistics blog 2403:978-0-7619-2018-2 2370:978-1-4129-0412-4 2337:978-0-534-63036-2 1953:(12): 1217–1218. 1947:Medical Education 1892:. pp. 64–65. 1870:978-0-13-205958-9 1768:978-0-13-205958-9 1238:Mann–Whitney test 1103:acquiescence bias 1059:Strongly disagree 1026: 1025: 1018: 930:Likert-type scale 873: 872: 591:Social experiment 471:Social psychology 116:Social complexity 2495: 2457: 2455: 2453: 2437: 2435: 2433: 2423:"Likert Scaling" 2408: 2407: 2391: 2381: 2375: 2374: 2358: 2348: 2342: 2341: 2323: 2317: 2316: 2304: 2298: 2297: 2269: 2263: 2262: 2260: 2249: 2243: 2242: 2232: 2208: 2202: 2201: 2173: 2167: 2166: 2160: 2151: 2145: 2144: 2142: 2110: 2104: 2103: 2101: 2099: 2083: 2077: 2076: 2067:(287): 655–667. 2056: 2050: 2049: 2047: 2045: 2031: 2025: 2024: 1988: 1979: 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699–704. 2203: 2168: 2146: 2105: 2078: 2051: 2026: 1999:(5): 625–632. 1980: 1930: 1911:(2): 359–362. 1895: 1876: 1869: 1843: 1832:(2): 189–203. 1809: 1790:(1): 196–201. 1774: 1767: 1741: 1730:(3): 106–116. 1711: 1687: 1672: 1659:Likert, Rensis 1650: 1626: 1625: 1623: 1620: 1617: 1616: 1570: 1569: 1567: 1564: 1563: 1562: 1556: 1550: 1541: 1535: 1529: 1523: 1517: 1511: 1505: 1499: 1494: 1489: 1483: 1477: 1471: 1465: 1459: 1451: 1448: 1366: 1363: 1334: 1331: 1318: 1314: 1310: 1306: 1302: 1298: 1294: 1290: 1286: 1274: 1271: 1265: 1262: 1253:ordered probit 1191: 1163:measure theory 1146: 1143: 1138: 1137: 1130: 1121: 1118: 1115: 1111: 1098: 1077:scaling method 1073: 1072: 1071:Strongly agree 1069: 1066: 1063: 1060: 1024: 1023: 982: 980: 973: 967: 964: 926:questionnaires 871: 870: 868: 867: 860: 853: 845: 842: 841: 840: 839: 824: 823: 820: 819: 814: 809: 804: 799: 794: 789: 783: 778: 777: 774: 773: 627: 626: 612: 607: 606: 603: 602: 599: 598: 593: 588: 583: 578: 573: 568: 563: 558: 553: 548: 543: 537: 532: 531: 528: 527: 524: 523: 518: 513: 508: 503: 498: 493: 488: 483: 478: 473: 468: 463: 453: 448: 443: 438: 433: 428: 423: 418: 413: 408: 403: 398: 393: 388: 383: 378: 373: 368: 363: 358: 353: 348: 343: 338: 333: 328: 323: 318: 313: 308: 303: 298: 288: 283: 278: 273: 268: 263: 258: 253: 248: 243: 238: 236:Astrosociology 233: 228: 223: 217: 212: 211: 208: 207: 204: 203: 198: 193: 188: 183: 178: 173: 167: 162: 161: 158: 157: 154: 153: 148: 143: 138: 133: 128: 123: 118: 113: 108: 94: 89: 84: 82:Human behavior 79: 74: 68: 65: 64: 61: 60: 59: 58: 53: 48: 40: 39: 31: 30: 24: 23: 15: 9: 6: 4: 3: 2: 2500: 2489: 2486: 2484: 2481: 2479: 2478:Psychometrics 2476: 2475: 2473: 2463: 2459: 2448: 2444: 2439: 2428: 2424: 2419: 2418: 2405: 2399: 2395: 2390: 2389: 2380: 2372: 2366: 2362: 2357: 2356: 2347: 2339: 2333: 2329: 2322: 2315:(4): 297–303. 2314: 2310: 2303: 2295: 2291: 2287: 2283: 2279: 2275: 2274:Social Forces 2268: 2257: 2256: 2248: 2240: 2236: 2231: 2226: 2222: 2218: 2214: 2207: 2199: 2195: 2191: 2187: 2183: 2179: 2172: 2164: 2157: 2150: 2141: 2136: 2132: 2128: 2124: 2120: 2116: 2113:Liddell, T.; 2109: 2093: 2089: 2082: 2074: 2070: 2066: 2062: 2055: 2040: 2036: 2030: 2022: 2018: 2014: 2010: 2006: 2002: 1998: 1994: 1987: 1985: 1976: 1972: 1968: 1964: 1960: 1956: 1952: 1948: 1941: 1934: 1926: 1922: 1918: 1914: 1910: 1906: 1899: 1891: 1887: 1880: 1872: 1866: 1862: 1857: 1856: 1847: 1839: 1835: 1831: 1827: 1820: 1813: 1805: 1801: 1797: 1793: 1789: 1785: 1778: 1770: 1764: 1760: 1755: 1754: 1745: 1737: 1733: 1729: 1725: 1718: 1716: 1707: 1703: 1696: 1694: 1692: 1683: 1676: 1668: 1664: 1660: 1654: 1638: 1631: 1627: 1614: 1613: 1604: 1575: 1571: 1560: 1559:Voting system 1557: 1554: 1551: 1545: 1542: 1539: 1536: 1533: 1530: 1527: 1524: 1521: 1518: 1515: 1512: 1509: 1508:Questionnaire 1506: 1503: 1500: 1498: 1495: 1493: 1490: 1487: 1486:Guttman scale 1484: 1481: 1478: 1475: 1472: 1469: 1466: 1463: 1460: 1457: 1454: 1453: 1447: 1445: 1444: 1435: 1408: 1407: 1398: 1371: 1370:Rensis Likert 1365:Pronunciation 1362: 1360: 1356: 1352: 1347: 1344: 1340: 1330: 1326: 1324: 1284: 1280: 1270: 1261: 1259: 1254: 1249: 1247: 1243: 1239: 1235: 1231: 1227: 1223: 1219: 1214: 1212: 1208: 1204: 1199: 1197: 1187: 1185: 1180: 1175: 1171: 1168: 1164: 1159: 1157: 1151: 1142: 1135: 1134:norm defiance 1131: 1128: 1127: 1122: 1119: 1116: 1112: 1109: 1105: 1104: 1099: 1096: 1092: 1090: 1085: 1084: 1083: 1080: 1078: 1070: 1067: 1064: 1061: 1058: 1057: 1056: 1053: 1049: 1047: 1043: 1039: 1030: 1020: 1017: 1009: 999: 995: 989: 988: 983:This section 981: 977: 972: 971: 963: 961: 957: 953: 947: 943: 939: 937: 936: 931: 927: 923: 922:Rensis Likert 919: 915: 914: 905: 878: 866: 861: 859: 854: 852: 847: 846: 844: 843: 838: 833: 828: 827: 826: 825: 818: 815: 813: 810: 808: 805: 803: 802:Organizations 800: 798: 795: 793: 790: 788: 785: 784: 781: 776: 775: 770: 766: 762: 758: 754: 751: ·  750: 747: ·  746: 742: 738: 734: 730: 726: 722: 718: 714: 710: 707: ·  706: 703: 700: 698: 694: 690: 686: 682: 678: 674: 670: 666: 662: 658: 654: 650: 646: 642: 639: ·  638: 634: 631: 624: 620: 617: 614: 613: 610: 605: 604: 597: 594: 592: 589: 587: 584: 582: 579: 577: 574: 572: 569: 567: 564: 562: 559: 557: 556:Computational 554: 552: 549: 547: 544: 542: 539: 538: 535: 530: 529: 522: 519: 517: 514: 512: 509: 507: 504: 502: 499: 497: 494: 492: 489: 487: 484: 482: 479: 477: 474: 472: 469: 467: 464: 461: 457: 454: 452: 449: 447: 444: 442: 439: 437: 434: 432: 429: 427: 424: 422: 419: 417: 414: 412: 409: 407: 404: 402: 399: 397: 394: 392: 389: 387: 384: 382: 379: 377: 374: 372: 369: 367: 364: 362: 359: 357: 354: 352: 349: 347: 344: 342: 339: 337: 334: 332: 329: 327: 324: 322: 319: 317: 314: 312: 309: 307: 304: 302: 301:Environmental 299: 296: 292: 289: 287: 284: 282: 279: 277: 274: 272: 269: 267: 264: 262: 259: 257: 254: 252: 251:Consciousness 249: 247: 244: 242: 239: 237: 234: 232: 229: 227: 224: 222: 219: 218: 215: 210: 209: 202: 199: 197: 194: 192: 189: 187: 184: 182: 179: 177: 174: 172: 169: 168: 165: 160: 159: 152: 149: 147: 144: 142: 139: 137: 134: 132: 131:Social equity 129: 127: 124: 122: 119: 117: 114: 112: 109: 107: 103: 99: 95: 93: 90: 88: 85: 83: 80: 78: 77:Globalization 75: 73: 70: 69: 63: 62: 57: 54: 52: 49: 47: 44: 43: 42: 41: 37: 33: 32: 29: 26: 25: 21: 20: 2450:. Retrieved 2446: 2430:. Retrieved 2426: 2387: 2379: 2354: 2346: 2327: 2321: 2312: 2308: 2302: 2277: 2273: 2267: 2254: 2247: 2220: 2216: 2206: 2181: 2171: 2162: 2149: 2122: 2118: 2115:Kruschke, J. 2108: 2096:. Retrieved 2091: 2081: 2064: 2060: 2054: 2042:. Retrieved 2038: 2029: 1996: 1992: 1950: 1946: 1933: 1908: 1904: 1898: 1889: 1879: 1854: 1846: 1829: 1825: 1812: 1787: 1783: 1777: 1752: 1744: 1727: 1723: 1705: 1701: 1681: 1675: 1666: 1662: 1653: 1643:December 16, 1641:. Retrieved 1630: 1574: 1526:Rating sites 1520:Rating scale 1497:Mokken scale 1474:Discan scale 1368: 1348: 1336: 1327: 1276: 1267: 1250: 1230:McNemar test 1215: 1200: 1188: 1178: 1176: 1172: 1160: 1152: 1148: 1139: 1133: 1124: 1101: 1087: 1081: 1074: 1054: 1050: 1041: 1038:Likert scale 1037: 1035: 1012: 1003: 992:Please help 987:verification 984: 948: 944: 940: 935:rating scale 933: 929: 918:psychometric 877:Likert scale 876: 874: 787:Bibliography 701: 629: 628: 615: 581:Mathematical 561:Ethnographic 541:Quantitative 226:Architecture 164:Perspectives 136:Social power 2452:November 7, 2125:: 328–348. 1538:Satisficing 1359:Georg Rasch 1333:Rasch model 1222:chi-squared 1042:Likert item 966:Composition 792:Terminology 761:Baudrillard 637:Tocqueville 551:Comparative 546:Qualitative 516:Victimology 346:Immigration 331:Generations 246:Criminology 2472:Categories 2140:2022/21970 2039:SurveyKing 1708:(3): 1–13. 1622:References 1456:Borg scale 1343:hypothesis 817:By country 571:Historical 496:Technology 436:Punishment 421:Philosophy 396:Mathematic 386:Literature 351:Industrial 341:Historical 266:Demography 186:Positivism 111:Popularity 66:Key themes 2432:April 30, 2098:April 30, 2044:13 August 1925:145705789 1006:June 2023 633:Martineau 576:Interview 501:Terrorism 481:Sociology 426:Political 366:Knowledge 286:Education 28:Sociology 2239:18697664 2198:61139330 2013:20146096 1975:42509064 1967:15566531 1492:Ipsative 1480:K-factor 1450:See also 1293:,  1289:,  1218:binomial 1207:interval 1179:symmetry 1114:context; 1062:Disagree 916:,) is a 812:Timeline 797:Journals 765:Bourdieu 757:Habermas 753:Luhmann 749:Foucault 693:Mannheim 673:Durkheim 446:Religion 406:Military 371:Language 356:Internet 311:Feminist 295:Jealousy 281:Economic 276:Disaster 271:Deviance 214:Branches 92:Identity 2464:. 2006. 2294:2574595 2021:6566608 1804:7930122 1684:. Sage. 1669:: 1–55. 1184:ordinal 1156:ordinal 769:Giddens 767:·  763:·  755:·  743:·  741:Goffman 737:Schoeck 723:·  715:·  691:·  689:Du Bois 687:·  679:·  675:·  667:·  661:Tönnies 659:·  645:Spencer 643:·  621:·  534:Methods 511:Utopian 456:Science 401:Medical 391:Marxist 381:Leisure 291:Emotion 256:Culture 72:Society 51:Outline 46:History 2400:  2367:  2334:  2292:  2237:  2196:  2019:  2011:  1973:  1965:  1923:  1867:  1802:  1765:  1351:axioms 1158:data. 807:People 745:Bauman 725:Nisbet 721:Merton 713:Gehlen 709:Adorno 702:1900s: 677:Addams 669:Simmel 665:Veblen 657:Pareto 649:Le Bon 630:1800s: 623:Sieyès 616:1700s: 596:Survey 521:Visual 431:Public 336:Health 326:Gender 316:Fiscal 306:Family 2290:JSTOR 2259:(PDF) 2194:S2CID 2159:(PDF) 2017:S2CID 1971:S2CID 1943:(PDF) 1921:S2CID 1822:(PDF) 1612:-kərt 1566:Notes 1443:-kərt 1244:, or 1228:, or 1068:Agree 950:high 780:Lists 729:Mills 705:Fromm 697:Elias 685:Weber 619:Comte 506:Urban 491:Sport 486:Space 451:Rural 411:Music 361:Jewry 261:Death 221:Aging 56:Index 2454:2017 2434:2009 2398:ISBN 2365:ISBN 2332:ISBN 2235:PMID 2100:2009 2046:2017 2009:PMID 1963:PMID 1865:ISBN 1800:PMID 1763:ISBN 1645:2023 1406:-ərt 1313:and 1091:bias 960:ICCs 913:-ərt 733:Bell 717:Aron 681:Mead 653:Ward 641:Marx 321:Food 241:Body 2282:doi 2225:doi 2186:doi 2135:hdl 2127:doi 2069:doi 2001:doi 1955:doi 1913:doi 1861:250 1834:doi 1792:doi 1759:245 1732:doi 1667:140 1404:LIK 996:by 911:LIK 376:Law 231:Art 2474:: 2445:. 2425:. 2396:. 2394:15 2363:. 2361:20 2313:25 2311:. 2288:. 2278:46 2276:. 2233:. 2221:40 2219:. 2215:. 2192:. 2180:. 2161:. 2133:. 2123:79 2121:. 2090:. 2065:54 2063:. 2037:. 2015:. 2007:. 1997:15 1995:. 1983:^ 1969:. 1961:. 1951:38 1949:. 1945:. 1919:. 1909:64 1907:. 1888:. 1863:. 1830:54 1828:. 1824:. 1798:. 1788:20 1786:. 1761:. 1726:. 1714:^ 1706:18 1704:. 1690:^ 1665:. 1610:LY 1597:ər 1591:aɪ 1446:. 1441:LY 1428:ər 1422:aɪ 1391:ər 1305:, 1240:, 1236:, 1224:, 1198:. 1036:A 898:ər 875:A 759:· 739:· 735:· 731:· 727:· 719:· 711:· 695:· 683:· 671:· 663:· 655:· 651:· 647:· 635:· 104:/ 100:/ 2456:. 2436:. 2406:. 2373:. 2340:. 2296:. 2284:: 2241:. 2227:: 2200:. 2188:: 2143:. 2137:: 2129:: 2102:. 2075:. 2071:: 2048:. 2023:. 2003:: 1977:. 1957:: 1927:. 1915:: 1873:. 1840:. 1836:: 1806:. 1794:: 1771:. 1738:. 1734:: 1728:3 1647:. 1603:/ 1600:t 1594:k 1588:l 1585:ˈ 1582:/ 1434:/ 1431:t 1425:k 1419:l 1416:ˈ 1413:/ 1397:/ 1394:t 1388:k 1385:ɪ 1382:l 1379:ˈ 1376:/ 1319:A 1315:C 1311:C 1307:B 1303:B 1299:A 1295:C 1291:B 1287:A 1192:t 1019:) 1013:( 1008:) 1004:( 990:. 904:/ 901:t 895:k 892:ɪ 889:l 886:ˈ 883:/ 879:( 864:e 857:t 850:v 462:) 458:( 297:) 293:( 106:5 102:4 98:3

Index

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
Symbolic interactionism

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