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Journal articles on the topic 'Attitude measurement'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Rocklage, Matthew D., and Russell H. Fazio. "Attitude Accessibility as a Function of Emotionality." Personality and Social Psychology Bulletin 44, no. 4 (December 1, 2017): 508–20. http://dx.doi.org/10.1177/0146167217743762.

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Despite the centrality of both attitude accessibility and attitude basis to the last 30 years of theoretical and empirical work concerning attitudes, little work has systematically investigated their relation. The research that does exist provides conflicting results and is not at all conclusive given the methodology that has been used. The current research uses recent advances in statistical modeling and attitude measurement to provide the most systematic examination of the relation between attitude accessibility and basis to date. Specifically, we use mixed-effects modeling which accounts for variation across individuals and attitude objects in conjunction with the Evaluative Lexicon (EL)—a linguistic approach that allows for the simultaneous measurement of an attitude’s valence, extremity, and emotionality. We demonstrate across four studies, over 10,000 attitudes, and nearly 50 attitude objects that attitudes based on emotion tend to be more accessible in memory, particularly if the attitude is positive.

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2

Dalege, Jonas, Denny Borsboom, Frenk van Harreveld, and Han L. J. van der Maas. "A Network Perspective on Attitude Strength: Testing the Connectivity Hypothesis." Social Psychological and Personality Science 10, no. 6 (August 6, 2018): 746–56. http://dx.doi.org/10.1177/1948550618781062.

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Attitude strength is a key characteristic of attitudes. Strong attitudes are durable and impactful, while weak attitudes are fluctuating and inconsequential. Recently, the causal attitude network (CAN) model was proposed as a comprehensive measurement model of attitudes, which conceptualizes attitudes as networks of causally connected evaluative reactions (i.e., beliefs, feelings, and behavior toward an attitude object). Here, we test the central postulate of the CAN model that highly connected attitude networks correspond to strong attitudes. We use data from the American National Election Studies 1980–2012 on attitudes toward presidential candidates ( N = 18,795). We first show that political interest predicts connectivity of attitude networks toward presidential candidates. Second, we show that connectivity is strongly related to two defining features of strong attitudes—stability of the attitude and the attitude’s impact on behavior. We conclude that network theory provides a promising framework to advance the understanding of attitude strength.

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3

McHugh, Maureen C., and Irene Hanson Frieze. "The Measurement of Gender-Role Attitudes." Psychology of Women Quarterly 21, no. 1 (March 1997): 1–16. http://dx.doi.org/10.1111/j.1471-6402.1997.tb00097.x.

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This article reviews measures of gender-role attitudes with an emphasis on The Attitudes Toward Women Scale (AWS; Spence & Helmreich, 1972); the Sex Role Egalitarianism Scale (SRES; Beere, King, Beere, & King, 1984); the Modern Sexism Scale (MS; Swim, Aikin, Hall, & Hunter, 1995); the Ambivalent Sexism Inventory (ASI; Click & Fiske, 1996), and the Children's Occupational Activity Trait-Attitude Measure (COAT-AM; Bigler, Liben, Lobliner, & Yekel, 1995). The discussion of gender-role attitude measures focuses on the following themes: psychometric criteria; theoretical and conceptual distinctions among measures; domains of attitudes and behaviors included; relationship to other measures; and the meaningfulness and relevance of items. Gender-role attitude scales are viewed as measuring gender-role ideology in a particular sociohistorical context; context-specificity is viewed as contributing to the proliferation of scales, and as limiting the usefulness of scales across cultural and temporal boundaries.

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Kumar, R. Satish. "Measurement of Consumer Attitude: Purchase of Green Products." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 332–36. http://dx.doi.org/10.31142/ijtsrd5959.

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5

Keulemans, Shelena, and Steven Van de Walle. "Understanding street-level bureaucrats’ attitude towards clients: Towards a measurement instrument." Public Policy and Administration 35, no. 1 (August 2, 2018): 84–113. http://dx.doi.org/10.1177/0952076718789749.

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The attitude of street-level bureaucrats towards their clients has an impact on the decisions they take. Still, such attitudes have not received much scholarly attention, nor are they generally studied in much detail. This article uses Breckler's psychological multicomponent model of attitude to develop a scale to measure street-level bureaucrats' general attitude towards their clients. By means of a test study ( N=218) and a replication study ( N = 879), the article shows that street-level bureaucrats' attitude towards clients consists of four different components: a cognitive attitude component, a positive affective attitude component, a negative affective attitude component and a behavioural attitude component. It also establishes a conceptual and empirical distinction from related attitudes, such as prosocial motivation, work engagement, bureaucrats’ rule-following identities and self-efficacy, and suggests avenues for application and further validation among different groups of street-level bureaucrats. This instrument opens up opportunities for theory testing and causality testing that surpasses case-specific considerations.

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6

Reid, Norman. "Thoughts on attitude measurement." Research in Science & Technological Education 24, no. 1 (May 2006): 3–27. http://dx.doi.org/10.1080/02635140500485332.

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7

Bahrami, Somayeh, and Mehrzad Namvar. "Rigid Body Attitude Control With Delayed Attitude Measurement." IEEE Transactions on Control Systems Technology 23, no. 5 (September 2015): 1961–69. http://dx.doi.org/10.1109/tcst.2014.2388239.

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8

Zhang, Shen, Chen, Cao, Zhao, Huang, and Guo. "An Enhanced Fusion Strategy for Reliable Attitude Measurement Utilizing Vision and Inertial Sensors." Applied Sciences 9, no. 13 (June 29, 2019): 2656. http://dx.doi.org/10.3390/app9132656.

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In this paper, we present a radial basis function (RBF) and cubature Kalman filter (CKF) based enhanced fusion strategy for vision and inertial integrated attitude measurement for sampling frequency discrepancy and divergence. First, the multi-frequency problem of the integrated system and the reason for attitude divergence are analyzed. Second, the filter equation and attitude differential equation are constructed to calculate attitudes separately in time series when visual and inertial data are available or when there are only inertial data. Third, attitude errors between inertial and vision are sent to the input layer of RBF for training. After this, through the activation function of the hidden layer, the errors are transferred to the output layer for weighting the sums, and the training model is established. To overcome the problem of divergence inherent in a multi-frequency system, the well-trained RBF, which can output the attitude errors, is utilized to compensate the attitudes calculated by pure inertial data. Finally, semi-physical simulation experiments under different scenarios are performed to validate the effectiveness and superiority of the proposed scheme in accurate attitude measurements and enhanced anti-divergence capability.

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9

Yang, Fan Lin, Yun Yue Chen, and Zhi Min Liu. "Attitude Measurement Method of GPS Compass." Applied Mechanics and Materials 353-356 (August 2013): 3480–84. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3480.

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Compared with the traditional compasses, the GPS compass had many advantages, such as small volume, high precision, fast location, easy installation, low price and so on. On the paper the development status of GPS compass were introduced, then the system architecture and attitude measurement methods of the GPS compass were designed and analyzed, finally the conclusions of attitude measurements on GPS compass and its development tendency were discussed.

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10

Albaum, Gerald, Dagmar Krebs, and Peter Schmidt. "New Directions in Attitude Measurement." Journal of Marketing Research 31, no. 4 (November 1994): 579. http://dx.doi.org/10.2307/3151888.

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11

Eliason, Scott R., Dagmar Krebs, and Peter Schmidt. "New Directions in Attitude Measurement." Contemporary Sociology 24, no. 5 (September 1995): 714. http://dx.doi.org/10.2307/2077425.

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12

Truchetet, F., O. Aubreton, P. Gorria, and O. Laligant. "Attitude measurement by artificial vision." Measurement Science and Technology 17, no. 1 (December 5, 2005): 101–10. http://dx.doi.org/10.1088/0957-0233/17/1/017.

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13

Wilson, D. J., E. W. Coffee, R. B. Dedmon, and D. R. Snyder. "Doppler interferometer remote attitude measurement." IEEE Photonics Technology Letters 2, no. 1 (January 1990): 78–80. http://dx.doi.org/10.1109/68.47049.

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14

Green, Mitchell S. "Attitude Ascription's Affinity to Measurement." International Journal of Philosophical Studies 7, no. 3 (January 1999): 323–48. http://dx.doi.org/10.1080/096725599341794.

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15

Tanaka, Shogo, and Seiji Nishifuji. "Dynamic Measurement of Ship's Attitude." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 1994 (May 5, 1994): 249–54. http://dx.doi.org/10.5687/sss.1994.249.

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16

Bens, Charles. "CitiStat: Performance measurement with attitude." National Civic Review 94, no. 2 (2005): 78–80. http://dx.doi.org/10.1002/ncr.100.

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17

Balasubramanian, Siva K., and Wagner A. Kamakura. "Measuring Consumer Attitudes toward the Marketplace with Tailored Interviews." Journal of Marketing Research 26, no. 3 (August 1989): 311–26. http://dx.doi.org/10.1177/002224378902600305.

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The authors demonstrate how item response theory can be applied for cost effective measurement of consumer attitudes with multi-item scales. The measurement technique they discuss and illustrate is tailored to each respondent so that each is asked only the scale items most informative of his or her attitude level. This approach yields attitude estimates from only a fraction of the total number of items in the attitude scale, with a measurable and controllable increase in the standard error of measurement. Potential cost-saving implications are discussed.

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18

Cilden, Demet, Halil Ersin Soken, and Chingiz Hajiyev. "Nanosatellite Attitude Estimation from Vector Measurements Using SVD-Aided UKF Algorithm." Metrology and Measurement Systems 24, no. 1 (March 1, 2017): 113–25. http://dx.doi.org/10.1515/mms-2017-0011.

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Abstract The integrated Singular Value Decomposition (SVD) and Unscented Kalman Filter (UKF) method can recursively estimate the attitude and attitude rates of a nanosatellite. At first, Wahba’s loss function is minimized using the SVD and the optimal attitude angles are determined on the basis of the magnetometer and Sun sensor measurements. Then, the UKF makes use of the SVD’s attitude estimates as measurement results and provides more accurate attitude information as well as the attitude rate estimates. The elements of “Rotation angle error covariance matrix” calculated for the SVD estimations are used in the UKF as the measurement noise covariance values. The algorithm is compared with the SVD and UKF only methods for estimating the attitude from vector measurements. Possible algorithm switching ideas are discussed especially for the eclipse period, when the Sun sensor measurements are not available.

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19

Kankaraš, Miloš, and Guy Moors. "Measurement Equivalence and Extreme Response Bias in the Comparison of Attitudes Across Europe." Methodology 7, no. 2 (January 2011): 68–80. http://dx.doi.org/10.1027/1614-2241/a000024.

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It is generally accepted that both measurement inequivalence and extreme response bias (ERB) can seriously distort measurement of attitudes and subsequent causal models. However, these two issues have rarely been investigated together. In this article we demonstrate the flexibility of a multigroup latent-class factor approach in both analyzing measurement equivalence and detecting ERB. Using data from the European Values Survey from 1999/2000, we identified an ERB in answering Likert-type questions on attitudes toward morals of compatriots. Furthermore, we found measurement inequivalence in the form of direct effects of countries on the attitude items. The model that included both these issues resulted in quite distinct findings regarding country difference in the latent attitude compared to the models that only included one of these effects – either measurement inequivalence or extreme response. It is suggested that the all-inclusive model provides the more valid estimates of country differences in the latent attitude.

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20

TANAKA, Shogo, Michiyasu TANAKA, Kaoru KAMACHI, and Susumu KOUNO. "Automatic Attitude Measurement for Crane Lifters." Transactions of the Society of Instrument and Control Engineers 30, no. 12 (1994): 1512–20. http://dx.doi.org/10.9746/sicetr1965.30.1512.

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21

Albuam, Gerald, and A. N. Oppenheim. "Questionnaire Design, Interviewing and Attitude Measurement." Journal of Marketing Research 30, no. 3 (August 1993): 393. http://dx.doi.org/10.2307/3172892.

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22

ALWIN, DUANE F., and JON A. KROSNICK. "The Reliability of Survey Attitude Measurement." Sociological Methods & Research 20, no. 1 (August 1991): 139–81. http://dx.doi.org/10.1177/0049124191020001005.

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23

Wilson, Glenn D. "The ‘catchphrase’ approach to attitude measurement." Personality and Individual Differences 6, no. 1 (January 1985): 31–37. http://dx.doi.org/10.1016/0191-8869(85)90027-3.

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24

Frey, James H. "Questionnaire design, interviewing and attitude measurement." Evaluation and Program Planning 17, no. 1 (January 1994): 33–34. http://dx.doi.org/10.1016/0149-7189(94)90021-3.

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25

Tejada, Antonio J. Rojas, Marisol Navas Luque, Oscar M. Lozano Rojas, and Pedro J. Pérez Moreno. "Prejudiced Attitude Measurement Using the Rasch Rating Scale Model." Psychological Reports 109, no. 2 (October 2011): 553–72. http://dx.doi.org/10.2466/07.17.pr0.109.5.553-572.

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There have been two basic approaches for the study of minority group prejudice against the majority: to adapt instruments from the majority group, and to use qualitative techniques by analyzing the content of the discourse of the groups involved. Neither of these procedures solves the problem of measuring intergroup attitudes of majorities and minorities in interaction. This study shows the result of a prejudice scale which was developed to measure the attitude of both the minority and majority groups. Prejudice is conceived as an attitude which requires the beliefs or opinions about the out-group, the emotions it elicits, and the behavior or intentional behavior toward it to be known for its evaluation. The innovation in this work is that the psychometric development of the scale was based on the item response theory, and more specifically, the rating scale model.

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26

Wise, Steven L. "The Development and Validation of a Scale Measuring Attitudes toward Statistics." Educational and Psychological Measurement 45, no. 2 (July 1985): 401–5. http://dx.doi.org/10.1177/001316448504500226.

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This study describes the development and validation of a new instrument entitled Attitudes Toward Statistics (ATS) to be used in the measurement of attitude change in introductory statistics students. Two ATS subscales are identified: Attitude Toward Course and Attitude Toward the Field, respectively. These subscales were demonstrated to have both high internal consistency and test-retest reliability. It is further shown that each ATS subscale provides distinctly different information about the attitudes of introductory statistics students.

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27

Arends-Tóth, Judit, Fons J. R. van de Vijver, and Ype H. Poortinga. "The Influence of Method Factors on the Relation between Attitudes and Self-Reported Behaviors in the Assessment of Acculturation." European Journal of Psychological Assessment 22, no. 1 (January 2006): 4–12. http://dx.doi.org/10.1027/1015-5759.22.1.4.

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The role of variation in response scales and measurement methods in the often implicitly assumed attitude-behavior exchangeability in the assessment of acculturation was investigated. Three levels of equivalence of acculturation attitudes and self-reported behaviors were studied: structural equivalence (identity of the internal structure of attitude and behavior), metric equivalence (identity of measurement unit for the two), and scalar equivalence (identity of measurement unit and scale origin). In three studies involving Turkish-Dutch adults a high overall level of structural equivalence was found, implying that acculturation attitudes and behaviors can be conceptualized using a single underlying construct (i.e., acculturation). Metric and scalar equivalence varied across life domains, response scales, and measurement methods: They were higher for the private than for the public domain, for identical than for different response scales, and for the one-statement than for the two-statement measurement method. We concluded that in the assessment of acculturation attitudes and behaviors can only be interchanged in highly restricted conditions.

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28

Iklashi, Rafy, Mujasam Mujasam, Irfan Yusuf, and Sri Wahyu Widyaningsih. "Contribution Analisis of Scientific Attitudes Towards Student Achievements Department of Physics Education in Universitas Papua." Kasuari: Physics Education Journal (KPEJ) 2, no. 2 (December 18, 2019): 95–109. http://dx.doi.org/10.37891/kpej.v2i2.104.

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Research has been conducted to determine the effect of scientific attitudes on student achievement in the Department of Physics Education at the University of Papua. This research is an associative descriptive research that describes the results of measurement of scientific attitudes and student achievement. The sample in this study were 21 students who filled out a scientific attitude questionnaire distributed via Google Form. Data collection techniques used are non-test techniques and documentation. Non-test technique in the form of giving a scientific attitude questionnaire to students. The questionnaire is filled in online through a Google form that is designed so that students can fill out whenever and wherever they are. The documentation technique is in the form of tracking student achievement indexes through Papua University's integrated sistem page. The results of the assessment of student responses were analyzed using Rusch modeling using the Winstep application. Spearman's rho analisis technique is used through the SPSS application to determine the effect of scientific attitudes on learning achievement. The measurement results of the influence of scientific attitudes on the Grade Point Average (GPA) obtained significance value of 0,539 is greater than the significance value of 0,05 which indicates that there is no significant effect between scientific attitudes on student GPA. The scientific attitude of students also obtained relatively low results. The low measurement results indicate that students of the Department of Education at the University of Papua need to be trained to develop their scientific attitude.

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29

Roy, Jean. "Response by J. Roy to the reply by the authors." GEOPHYSICS 58, no. 5 (May 1993): 757. http://dx.doi.org/10.1190/1.1486694.

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On platform attitude measurement: The integration of platform attitude measurements with existing geophysical platforms was done regularly in all airborne geophysical platforms equipped with the Geonics EM‐18 VLF system where roll and pitch compensation was done with a gyroscope‐derived signal (Geonics 1982 Catalog, EM‐18 data sheet). Also, the integration of full platform attitude measurement (pitch, yaw, and roll) with a geophysical platform was done as an example by SGC. Their platform carried, among others, a three‐component magnetometer (SGC TRIX‐03 data sheet) and a RAMA‐style VLF system (Granar, 1981). Pendulum‐based systems have also been used in both fixed wing aircrafts and helicopter towed birds. Current developments in platform attitude measurements include multiple GPS antennas and receivers with measuring tolerances lower than one degree (among others, NASA, 1992).

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30

Firmansyah, Hanien, and Ayik Mirayanti Mandagi. "Relationship between Knowledge and Premaretal Sex Attitudes in Adolescents in Kalipuro 3 Public Middle School." STRADA Jurnal Ilmiah Kesehatan 9, no. 1 (May 3, 2020): 35–43. http://dx.doi.org/10.30994/sjik.v9i1.267.

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The variables in this study are knowledge and premarital sex attitudes. Measurement of knowledge and attitudes is done by distributing questionnaires filled in by each student. Respondents of this study were all students totaling 84 students. Analysis of the data in this study using univariate analysis to see the description of respondents and bivariate analysis to see the relationship between knowledge variables with premarital sex attitudes. The results showed that the majority of respondents had poor knowledge of 39.3%. The attitude variable shows that the majority of respondents have a bad attitude towards premarital sex which is equal to 56%. A bad attitude is someone's attitude that leads to premarital sex. Bivariate analysis in this study shows the value of p <α (α = 0.05; CI = 95%) which means that there is a relationship between knowledge with premarital sex attitudes in adolescents

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31

Wei, Hong Hu, and Yan Bao. "Attitude Measurement for Underground Self-Walking Tunneling." Applied Mechanics and Materials 170-173 (May 2012): 1749–52. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.1749.

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Self-walking tunneling is at present the most advanced technology to underground pipeline construction. One of the difficulties is orientation measuring technology, that involves if tunneling can keep along with designed line. There is no mature method for self-walking tunnelling. This paper, based on the eleventh five-year plan national science and technology subject, comprehensive utilization of total station and rangefinder and combination with the characteristics of the tunneller, researches a set of practical and low cost measurement method. The application shows that the method meets with the need of orientation measurement to curve tunneling.

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32

Gubarev, V., and O. Diadenko. "Observability Analysis of Spacecrafts’ Attitude Measurement Systems." Kibernetika i vyčislitelʹnaâ tehnika 2016, no. 183 (August 28, 2016): 52–69. http://dx.doi.org/10.15407/kvt183.01.052.

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33

McCLENDON, McKEE J., and DUANE F. ALWIN. "No-Opinion Filters and Attitude Measurement Reliability." Sociological Methods & Research 21, no. 4 (May 1993): 438–64. http://dx.doi.org/10.1177/0049124193021004002.

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34

Llamas, Carmen, and Dominic Watt. "Scottish, English, British?: Innovations in Attitude Measurement." Language and Linguistics Compass 8, no. 11 (November 2014): 610–17. http://dx.doi.org/10.1111/lnc3.12109.

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35

ZHANG Yuan, 张原, 王志乾 WANG Zhi-qian, 乔彦峰 QIAO Yan-feng, 罗君 LUO Jun, and 殷延鹤 YIN Yan-he. "Attitude measurement method research for missile launch." Chinese Optics 8, no. 6 (2015): 997–1003. http://dx.doi.org/10.3788/co.20150806.0997.

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36

Munby, Hugh. "Issues of validity in science attitude measurement." Journal of Research in Science Teaching 34, no. 4 (April 1997): 337–41. http://dx.doi.org/10.1002/(sici)1098-2736(199704)34:4<337::aid-tea4>3.0.co;2-s.

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37

HO, COLIN, and JAY W. JACKSON. "Attitude Toward Asian Americans: Theory and Measurement." Journal of Applied Social Psychology 31, no. 8 (August 2001): 1553–81. http://dx.doi.org/10.1111/j.1559-1816.2001.tb02742.x.

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38

Hyman, Herbert. "INCONSISTENCIES AS A PROBLEM IN ATTITUDE MEASUREMENT." Journal of Social Issues 5, no. 3 (April 14, 2010): 38–42. http://dx.doi.org/10.1111/j.1540-4560.1949.tb02377.x.

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39

Albaum, Gerald. "Book Review: New Directions in Attitude Measurement." Journal of Marketing Research 31, no. 4 (November 1994): 579–80. http://dx.doi.org/10.1177/002224379403100414.

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40

BAŞKONUŞ, Turan, and Fikret SOYER. "Developing the Measurement and Evaluation Attitude Scale for Physical Education and Sports Teachers." International Journal of Psychology and Educational Studies 7, no. 4 (September 29, 2020): 96–113. http://dx.doi.org/10.17220/ijpes.2020.04.010.

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Qi, Ke Yu, Chao Xiang, Xiong Zhu Bu, and Jing Yu. "Analysis of Theory and Model of Background Magnetic Field of High-Spinning Projectile." Applied Mechanics and Materials 556-562 (May 2014): 1954–58. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1954.

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At present, methods of the navigation and the attitude measurements of projectile utilizing the magnetic fields are facing the interference from the BMF (background magnetic field). The principle and mathematical model of the BMF for the spinning projectile are been researched to realize the high accuracy measurement of the geomagnetic field on projectile. The composition and jamming mechanism of the projectile's BMF are derived with the Faraday electromagnetic induction theory. High precision compensation model of the geomagnetic measurement is established by synthesizing the magnetic sensor error model. Based on the idea of the error transfer, the attitude measuring errors caused by the BMF are analyzed and the error calculation formulas are given. On this basis, numerical simulation is conducted combining with projectile's flight rules. The results show that the influence of attitude angle measuring precisions caused by the background interference magnetic field are much bigger than the errors caused by the sensor noise and the established compensation model has obvious effect. Besides, the effective BMF compensation of geomagnetic measurements on the projectile must be conducted if the attitude angle measurement error is in requirements within ±1 °.

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42

Bo, Yang, Yang Xiaogang, Qu Geping, and Wang Yongjun. "Accurate Integrated Navigation Method Based on Medium Precision Strapdown Inertial Navigation System." Mathematical Problems in Engineering 2020 (November 7, 2020): 1–10. http://dx.doi.org/10.1155/2020/1420393.

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A method of accurate integrated navigation for high-altitude aerocraft by medium precision strapdown inertial navigation system (SINS), star sensor, and global navigation satellite system (GNSS) is researched in this paper. The system error sources of SINS and star sensor are analyzed and modeled, and then system errors of SINS and star sensor are chosen as system states of integrated navigation. Considering that the output of star sensor is attitude quaternion, it can be regarded as an attitude matrix, then the equivalent attitude matrix is constructed by using the output of SINS, and the calculating equation of the equivalent attitude matrix is designed. Thus, one of the measurements of integrated navigation can be constructed by using the equivalent attitude matrix and the attitude matrix output of star sensor. According to the constraint conditions of the attitude matrix, the diagonal elements are selected as one of the measurements of integrated navigation, and the corresponding measurement equation is derived. At the same time, the velocity output and position output difference between SINS and GNSS is selected as the other measurement, and the corresponding measurement equation is also derived. On this basis, the Kalman filter is used to design an integrated navigation filtering algorithm. Simulation results show that although the medium precision SINS is used, the heading accuracy of this integrated navigation method is better than ±1.5′, the pitch and roll accuracy are better than ±0.9’, the velocity accuracy is better than ±0.05 m/s, and the position accuracy is better than ±3.8 m. Therefore, the integrated navigation effect is very significant.

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Lovelace, Matthew, and Peggy Brickman. "Best Practices for Measuring Students’ Attitudes toward Learning Science." CBE—Life Sciences Education 12, no. 4 (December 2013): 606–17. http://dx.doi.org/10.1187/cbe.12-11-0197.

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Science educators often characterize the degree to which tests measure different facets of college students’ learning, such as knowing, applying, and problem solving. A casual survey of scholarship of teaching and learning research studies reveals that many educators also measure how students’ attitudes influence their learning. Students’ science attitudes refer to their positive or negative feelings and predispositions to learn science. Science educators use attitude measures, in conjunction with learning measures, to inform the conclusions they draw about the efficacy of their instructional interventions. The measurement of students’ attitudes poses similar but distinct challenges as compared with measurement of learning, such as determining validity and reliability of instruments and selecting appropriate methods for conducting statistical analyses. In this review, we will describe techniques commonly used to quantify students’ attitudes toward science. We will also discuss best practices for the analysis and interpretation of attitude data.

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44

Donat, Elisabeth, Roman Brandtweiner, and Johann Kerschbaum. "Attitudes and the Digital Divide: Attitude Measurement as Instrument to Predict Internet Usage." Informing Science: The International Journal of an Emerging Transdiscipline 12 (2009): 037–56. http://dx.doi.org/10.28945/427.

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45

Hepler, Justin, and Dolores Albarracín. "Attitudes without objects: Evidence for a dispositional attitude, its measurement, and its consequences." Journal of Personality and Social Psychology 104, no. 6 (June 2013): 1060–76. http://dx.doi.org/10.1037/a0032282.

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Mawardi, Mawardi. "Rambu-rambu Penyusunan Skala Sikap Model Likert untuk Mengukur Sikap Siswa." Scholaria: Jurnal Pendidikan dan Kebudayaan 9, no. 3 (September 26, 2019): 292–304. http://dx.doi.org/10.24246/j.js.2019.v9.i3.p292-304.

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The general finding shows that the assessment instrument for attitude domain contained in each of the sub-theme in Buku Guru SD / MI, uses the rubric of student behavior observations, even though theoretically the nature of attitude is not the same as behavior, this shows the problem in the implementation of the Curriculum 2013. Ideally, the attitude domain assessment uses attitude measurement instruments, which include components of cognition, affection, and conation. Cognition is related to beliefs (beliefs, ideas, and concepts). The affection component concerns a person's emotional life, while the conation component is a tendency to behave. The three components of attitude do not stand alone, but interact with one another in a complex way. To overcome this problem, direction needs to be prepared for the correct attitude assessment instrument, especially containing the nature of attitudes and their differences with behavior, how to measure attitudes, and how to arrange the attitude scale of the Likert model. The steps in preparing the Likert model attitude scale include are: 1) compiling the attitude object statement; (2) conducting instrument trials; (3) determiinge the score for each statement (instrument blue-print); (4) analyzing items to determine the reliability and validity of the instrument.

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Ko, Nak, Seokki Jeong, Suk-seung Hwang, and Jae-Young Pyun. "Attitude Estimation of Underwater Vehicles Using Field Measurements and Bias Compensation." Sensors 19, no. 2 (January 15, 2019): 330. http://dx.doi.org/10.3390/s19020330.

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This paper proposes a method of estimating the attitude of an underwater vehicle. The proposed method uses two field measurements, namely, a gravitational field and a magnetic field represented in terms of vectors in three-dimensional space. In many existing methods that convert the measured field vectors into Euler angles, the yaw accuracy is affected by the uncertainty of the gravitational measurement and by the uncertainty of the magnetic field measurement. Additionally, previous methods have used the magnetic field measurement under the assumption that the magnetic field has only a horizontal component. The proposed method utilizes all field measurement components as they are, without converting them into Euler angles. The bias in the measured magnetic field vector is estimated and compensated to take full advantage of all measured field vector components. Because the proposed method deals with the measured field independently, uncertainties in the measured vectors affect the attitude estimation separately without adding up. The proposed method was tested by conducting navigation experiments with an unmanned underwater vehicle inside test tanks. The results were compared with those obtained by other methods, wherein the Euler angles converted from the measured field vectors were used as measurements.

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Hyyti, Heikki, and Arto Visala. "A DCM Based Attitude Estimation Algorithm for Low-Cost MEMS IMUs." International Journal of Navigation and Observation 2015 (November 30, 2015): 1–18. http://dx.doi.org/10.1155/2015/503814.

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An attitude estimation algorithm is developed using an adaptive extended Kalman filter for low-cost microelectromechanical-system (MEMS) triaxial accelerometers and gyroscopes, that is, inertial measurement units (IMUs). Although these MEMS sensors are relatively cheap, they give more inaccurate measurements than conventional high-quality gyroscopes and accelerometers. To be able to use these low-cost MEMS sensors with precision in all situations, a novel attitude estimation algorithm is proposed for fusing triaxial gyroscope and accelerometer measurements. An extended Kalman filter is implemented to estimate attitude in direction cosine matrix (DCM) formation and to calibrate gyroscope biases online. We use a variable measurement covariance for acceleration measurements to ensure robustness against temporary nongravitational accelerations, which usually induce errors when estimating attitude with ordinary algorithms. The proposed algorithm enables accurate gyroscope online calibration by using only a triaxial gyroscope and accelerometer. It outperforms comparable state-of-the-art algorithms in those cases when there are either biases in the gyroscope measurements or large temporary nongravitational accelerations present. A low-cost, temperature-based calibration method is also discussed for initially calibrating gyroscope and acceleration sensors. An open source implementation of the algorithm is also available.

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Lampert, Shlomoi, and Aharon Tziner. "A PREDICTIVE STUDY OF VOTING BEHAVIOR USING LAMPERT'S POLLIMETER." Social Behavior and Personality: an international journal 13, no. 1 (January 1, 1985): 1–10. http://dx.doi.org/10.2224/sbp.1985.13.1.1.

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A voting behavior model hypothesizing voting intention as an intervening variable which mediates the relationship between voter attitudes and voting behavior was examined in the framework of the general election in Israel Voter attitudes were assessed via a new attitude scaling device embodying a number of characteristics that make it a promising tool for attitude measurement. Voter attitudes and intentions were collected prior to the elections, while the actual vote was collected after the elections. The model tested primarily via discriminant analysis, has gained considerable support. Implications of the findings are discussed and avenues for future research are suggested.

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Liu, Xiao Yan, Zhao Ying Zhou, and Wei Xiong. "Design and Test of MEMS Attitude Measurement Unit for Fall Detection." Key Engineering Materials 483 (June 2011): 465–70. http://dx.doi.org/10.4028/www.scientific.net/kem.483.465.

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Fall is a risky event in the elderly people’s daily life, it often cause serious injury both in physiology and psychology. A MEMS attitude measurement system is designed for fall detection in real time. This paper presents the design and error test of the attitude measurement unit. Each unit contains orthogonally mounted triads of accelerometers, magnetometers and gyros. With an integrated microcontroller for attitude calculating and flash for data storage, the size of the unit is 32mm×23mm×12mm. An extended Kalman filter based on quaternions is designed for attitude measurement. The digital angle output rate is 100Hz. A new method based on coordinate transformation for attitude measurement error test is introduced, using a single axis turntable and a fixed angle wedge. Theory of the testing method is presented and test experiments are performed. Test results show that attitude measurement error is less than 2°, which meets the requirement of fall detection precision. The fall detection system consists of five attitude measurement units fixed on the human legs and waist.

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