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Attitudes Can Be Measured
Abstract
The object of this study is to devise a method whereby the distribution of attitude of a group on a specified issue may be represented in the form of a frequency distribution. The base line represents ideally the whole range of opinions from those at one end who are most strongly in favor of the issue to those at the other end of the scale who are as strongly against it. Somewhere between the two extremes on the base line will be a neutral zone representing indifferent attitudes on the issue in question. The ordinates of the frequency distribution will represent the relative popularity of each attitude. This measurement problem has the limitation which is common to all measurement, namely, that one can measure only such attributes as can be represented on a linear continuum, such attributes as volume, price, length, area, excellence, beauty, and so on. For the present problem we are limited to those aspects of attitudes for which one can compare individuals by the "more and less" type of judgment. For example, we say understandingly that one man is more in favor of prohibition than another, more strongly in favor of the League of Nations than another, more militaristic than some other, more religious than another. The measurement is effected by the indorsement or rejection of statements of opinion. The opinions are allocated to different positions on the base line in accordance with the attitudes which they express. The ordinates of the frequency distribution are determined by the frequency with which each of the scaled opinions is indorsed. The center of the whole problem lies in the definition of a unit of measurement for the base line. The scale is so constructed that two opinions separated by a unit distance on the base line seem to differ as much in the attitude variable involved as any other two opinions on the scale which are also separated by a unit distance. This is the main idea of the present scale construction. The true allocation of an individual to a position on an attitude scale is an abstraction, just as the true length of a chalk line, or the true temperature of a room, or the true spelling ability of a child, is an abstraction. We estimate the true length of a line, the true temperature of a room, or the true spelling ability of a child, by means of various indices, and it is a commonplace in measurement that all indices do not agree exactly. In allocating an individual to a point on the attitude continuum we may use various indices, such as the opinions that he indores, his overt acts, and his past history, and it is to be expected that discrepancies will appear as the true attitude of the individual is estimated by different indices. The present study is concerned with the allocation of individuals along an attitude continuum based on the opinions that they accept or reject.
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Citations
Cited by
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Communication and Persuasion · doi:10.1007/978-1-4612-4964-1_1 · Cited by 3,202
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
Wilson, T. D., Lindsey, S., & Schooler, T. Y. (2000) · Psychological Review · doi:10.1037/0033-295x.107.1.101 · Cited by 2,112
Cacioppo, J. T., & Berntson, G. G. (1994) · Psychological Bulletin · doi:10.1037//0033-2909.115.3.401 · Cited by 1,882
The Hot Hand in Basketball: On the Misperception of Random Sequences
Gilovich, T., Vallone, R., & Tversky, A. (1985) · Cognitive Psychology · doi:10.1016/0010-0285(85)90010-6 · Cited by 1,649
Attitudes and the Prediction of Behavior: A Meta-Analysis of the Empirical Literature
Kraus, S. J. (1995) · Personality and Social Psychology Bulletin · doi:10.1177/0146167295211007 · Cited by 1,613
Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2005.04.006 · Cited by 1,537
Beyond Bipolar Conceptualizations and Measures: The Case of Attitudes and Evaluative Space
Cacioppo, J. T., Gardner, W. L., & Berntson, G. G. (1997) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0101_2 · Cited by 1,251
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
The development of the Game Engagement Questionnaire: A measure of engagement in video game-playing
Brockmyer, J. H., Fox, C. M., Curtiss, K. A., McBroom, E., Burkhart, K. M., & Pidruzny, J. N. (2009) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.02.016 · Cited by 1,010
Implicit attitude measures: Consistency, stability, and convergent validity
Cunningham, W. A., Preacher, K. J., & Banaji, M. R. (2001) · Psychological Science · doi:10.1111/1467-9280.00328 · Cited by 968
Cacioppo, J. T., Priester, J. R., & Berntson, G. G. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.65.1.5 · Cited by 871
Attitudes as Object–Evaluation Associations of Varying Strength
Fazio, R. H. (2007) · Social Cognition · doi:10.1521/soco.2007.25.5.603 · Cited by 798
Crano, W. D., & Prislin, R. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.57.102904.190034 · Cited by 785
The personality structure of affect.
Diener, E., Smith, H., & Fujita, F. (1995) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.69.1.130 · Cited by 770
Dunning, D., Meyerowitz, J. A., & Holzberg, A. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1082 · Cited by 758
Dunning, D., Meyerowitz, J. A., & Holzberg, A. D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.020 · Cited by 678
Hobart, J., & Cano, S. (2009) · Health Technology Assessment · doi:10.3310/hta13120 · Cited by 621
Desire or reason: Predicting health behaviors from affective and cognitive attitudes.
Lawton, R., Conner, M., & McEachan, R. (2009) · Health Psychology · doi:10.1037/a0013424 · Cited by 443
The emergence of social cognitive neuroscience.
Ochsner, K. N., & Lieberman, M. D. (2001) · American Psychologist · doi:10.1037/0003-066x.56.9.717 · Cited by 440
When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour
Van Acker, V., Van Wee, B., & Witlox, F. (2010) · Transport Reviews · doi:10.1080/01441640902943453 · Cited by 434
Unpacking, repacking, and anchoring: Advances in support theory.
Rottenstreich, Y., & Tversky, A. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.406 · Cited by 425
Diez pasos para la construcción de un test
Muñiz, J., & Fonseca-Pedrero, E. (2019) · Psicothema · doi:10.7334/psicothema2018.291 · Cited by 401
Martin Fishbein’s Legacy: The Reasoned Action Approach
Ajzen, I. (2012) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716211423363 · Cited by 396
Sloman, S. A. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.024 · Cited by 395
Measurement of attitudes towards persons with disabilities
F. Antonak, R., & Livneh, H. (2000) · Disability and Rehabilitation · doi:10.1080/096382800296782 · Cited by 388
When designing usability questionnaires, does it hurt to be positive?
Sauro, J., & Lewis, J. R. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979266 · Cited by 363
Effects of affective and cognitive focus on the attitude-behavior relation.
Millar, M. G., & Tesser, A. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.2.270 · Cited by 347
Measuring progressions: Assessment structures underlying a learning progression
Wilson, M. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20318 · Cited by 329
Usability: Lessons Learned … and Yet to Be Learned
Lewis, J. R. (2014) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2014.930311 · Cited by 311
McNemar, Q. (1946) · Psychological Bulletin · doi:10.1037/h0060985 · Cited by 302
What makes speech sound fluent? The contributions of pauses, speed and repairs
Bosker, H. R., Pinget, A.-F., Quené, H., Sanders, T., & de Jong, N. H. (2013) · Language Testing · doi:10.1177/0265532212455394 · Cited by 301
Attitudes in social context: A social identity perspective
Hogg, M. A., & Smith, J. R. (2007) · European Review of Social Psychology · doi:10.1080/10463280701592070 · Cited by 286
Cognitive Algebra: Integration Theory Applied to Social Attribution
Anderson, N. H. (1974) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60035-0 · Cited by 277
Jonas, K., Broemer, P., & Diehl, M. (2000) · European Review of Social Psychology · doi:10.1080/14792779943000125 · Cited by 234
Salgado, J. F., & Táuriz, G. (2014) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2012.716198 · Cited by 205
Developing a tool for measuring the decision-making competence of older adults.
Finucane, M. L., & Gullion, C. M. (2010) · Psychology and Aging · doi:10.1037/a0019106 · Cited by 202
Riemer, H., Shavitt, S., Koo, M., & Markus, H. R. (2014) · Psychological Review · doi:10.1037/a0037666 · Cited by 174
Mental Contamination and the Debiasing Problem
Wilson, T. D., Centerbar, D. B., & Brekke, N. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.012 · Cited by 160
The calibration of expert judgment: heuristics and biases beyond the laboratory
Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.041 · Cited by 146
Examining conspiracist beliefs about the disappearance of Amelia Earhart
Swami, V., & Furnham, A. (2012) · The Journal of General Psychology · doi:10.1080/00221309.2012.697932 · Cited by 88
Walsh, K., Rassafiani, M., Mathews, B., Farrell, A., & Butler, D. (2010) · Journal of Child Sexual Abuse · doi:10.1080/10538711003781392 · Cited by 72
How Do Indifferent Voters Decide? The Political Importance of Implicit Attitudes
Ryan, T. J. (2017) · American Journal of Political Science · doi:10.1111/ajps.12307 · Cited by 35
Evaluating composite health measures using Rasch modelling: An illustrative example
Hagquist, C. (2001) · Sozial- und Präventivmedizin SPM · doi:10.1007/bf01321663 · Cited by 34
Metadata
- Authors
- Thurstone, L. L.
- Venue
- American Journal of Sociology
- Publisher
- University of Chicago Press
- Published
- 1928-01
- Volume
- 33
- Issue
- 4
- Pages
- 529-554
- ISSN
- 0002-9602 (ISSN-L)
- 1537-5390
- OpenAlex
- W1970133260
- Cited by
- 1,464
- References
- 0
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- closed
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