Relevant bibliographies by topics / Locus of control scale

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Locus of control scale'

Author: Grafiati
Published: 5 June 2025
Last updated: 8 July 2025

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Journal articles on the topic "Locus of control scale"

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Bunch, J. M., and H. G. Schneider. "Smoking-Specific Locus of Control." Psychological Reports 69, no. 3_suppl (1991): 1075–81. http://dx.doi.org/10.2466/pr0.1991.69.3f.1075.

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A smoking-specific locus of control scale was developed by modifying a drinking-related locus of control scale. The new scale, Rotter's I-E scale, and a smoking questionnaire were administered to 70 subjects. Estimates of reliability indicated that the new scale had reasonably high internal consistency. Scores differed as a function of subjects' reports of their addiction to cigarettes but not as a function of their current smoking status. 15 addicted individuals scored more externally on the new scale than did 24 nonaddicted individuals. There were no differences for scores on the Rotter I-E scale as a function of reported addiction or smoking status. The new scale appears to be a more sensitive measure of locus of control than Rotter's scale. The two locus of control scales were not significantly correlated, indicating their independence. Individuals apparently maintain a distinct locus of control for smoking rather than having a general expectation for control.
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Hendryadi, Hendryadi. "PENGEMBANGAN SKALA LOCUS OF CONTROL." Jurnal Riset Manajemen dan Bisnis (JRMB) Fakultas Ekonomi UNIAT 2, no. 3 (2017): 417–24. http://dx.doi.org/10.36226/jrmb.v2i3.76.

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This article aims to develop a short form of the locus of control scale. The study was conducted in two stages: a study of 66 respondents as pilot testing which aims to test content validity, structure validity, and internal consistency. Study 2 was conducted on 328 respondents used to test the validity and reliability of the scale evaluated by the PLS-SEM method (such as internal consistency, convergent validity, and discriminant validity). The analysis concludes that the 8-item locus of control scales tested have adequate validity and reliability. A short form locus of control scale was developed and validated in this study, so it can be used in future research and evaluation for HR management practitioners in employee selection
 
 Keywords: locus of control, EFA, CFA, scale construction
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Odule, Christopher Yemi. "RELIGIOSITY AND ACADEMIC PERFORMANCE OF STUDENTS IN COLLEGES OF EDUCATION IN OGUN STATE." Nigerian Educational Digest (NED) Volume 12, No. 1, June 2012 (2012): 218–33. https://doi.org/10.5281/zenodo.7775549.

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The study examined the relationship among religiosity, locus of control and academic achievement of students in Colleges of Education in Ogun State. The subjects comprised 125 students randomly selected from two colleges of education in Ogun State. A Religiosity Scale fashioned in line with Strayhorn Religiosity Scale (1990) was used to assess the religiosity level of the students; an adapted version of Rotter's Locus of Control Scale (1966) was utilized to measure students’ locus of control score and an Academic Achievement Scale was used to measure students’ academic achievement. Data were analyzed using Pearson Product Moment Correlation statistic. The result showed that religiosity and locus of control were in moderate positive correlation with achievement in Measurement and Evaluation. In addition, a significant positive correlation was also established between religiosity and students’ locus of control. The study recommended among others that advisors should go beyond the academic field and help students to improve and understand how their perception of self and their environment may shape their academic performance.
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Smith, Lawrence, Evelien Spelten, and Paul Norman. "Shiftwork locus of control: Scale development." Work & Stress 9, no. 2-3 (1995): 219–26. http://dx.doi.org/10.1080/02678379508256557.

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Ferraro, Laurie A., James H. Price, Sharon M. Desmond, and Stephen M. Roberts. "Development of a Diabetes Locus of Control Scale." Psychological Reports 61, no. 3 (1987): 763–70. http://dx.doi.org/10.2466/pr0.1987.61.3.763.

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The purpose of the study was to develop a diabetes locus of control scale and to assess its validity and reliability. Factor analysis of the items was conducted utilizing varimax orthogonal rotation. Three factors were identified representing Internal (6 items), Chance (6 items) and Powerful Others (6 items) orientations. The subscales were internally consistent, Cronbach alphas were .75, .77 and .72 for the Internal, Chance, and Powerful Others scales. Test-retest reliabilities were for the subscales, Internal .77, Chance .72, and Powerful Others .66. Criterion-related validity with the Multidimensional Health Locus of Control scale was established. Reading level was at tenth grade. It is recommended that the more specific Diabetes Locus of Control scale be utilized in studies assessing locus of control for diabetics.
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Royal, K. Good, and David Rutherford. "Construct Validation Study of the Fear of Powerlessness Scale." Psychological Reports 75, no. 3_suppl (1994): 1529–30. http://dx.doi.org/10.2466/pr0.1994.75.3f.1529.

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To establish construct validity with 129 subjects for the Fear of Powerlessness Scale parallels were drawn among Levenson's Locus of Control Scales, the Fear of Powerlessness, and the Desire for Control Scale. Analysis yielded significant correlations between scores on the Fear of Powerlessness Scale, the Desire for Control Scale (negative), and 2 of Levenson's Locus of Control Scales, the Chance Scale and the Powerful Others Scale (positive).
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., Lalhmingmawii, and H. K. Laldinpuii. "Locus of Control and Spirituality in Opioid Dependence." Mind and Society 10, no. 03-04 (2021): 59–66. http://dx.doi.org/10.56011/mind-mri-103-420217.

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The aim of this study was to find out if Locus of Control and Spirituality play a role in opioid dependence (opioid user group). The participants (N=120; 60 opioid user group and 60 non-user gender matched group) completed a questionnaire comprising of demographic information, Multidimensional Locus of Control Scales (Levenson, H., 2009) and Spiritual Attitude and Involvement List (SAIL; De Jager Meezenbroek, E et al., 2012). The results indicated that the opioid user group scored higher in the external locus of control scales (Powerful others scale and Chance scale) as compared to the non-user group in the Multidimensional Locus of Control Scales. There was a significant difference between the two groups in the Spiritual Attitude and Involvement List (SAIL) where the non-user group scored higher in all the subscales. Correlational analysis indicated that in the opioid user group, Internal Scale was significantly positively related to SAIL (Caring for Others), while Powerful others was significantly negatively related to SAIL (Trust). In the non-user group, there was a significant positive relationship between Chance Scale with both Internal Scale and the Powerful Others Scale while Internal Scale was significantly positively related to all the SAIL subscales such as Trust, Caring for Others and Transcendent experiences. The results were found to be consistent with similar researches done in the past and has hence reiterated the importance of religious and spiritual based intervention in substance treatment programs as well as the necessity to readjusting one’s locus of control to deal effectively with substance use.
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Mikawa, James K., Ken Nordin, and Jim Eyman. "The Self-Consciousness Scale and Locus of Control." Psychological Reports 59, no. 2 (1986): 939–42. http://dx.doi.org/10.2466/pr0.1986.59.2.939.

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The Self-consciousness Scale has three factors, private self-consciousness, public self-consciousness, and social anxiety. It was expected that high private self-consciousness would facilitate tendencies toward internal locus of control. No relationship, however, was found between private self-consciousness and internal locus of control. Low to moderate correlations were found between locus of control, as measured by the Rotter I-E Scale and the Levenson Multidimensional Locus of Control Scale, and public self-consciousness and social anxiety. Public self-consciousness and social anxiety reflect concerns about the impact of others and external events. A total of 118 undergraduate students participated in the study, 65 women and 53 men.
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Houts, Sandra S., and Rex H. Warland. "Age and Locus of Control among Women Food Preparers." Psychological Reports 65, no. 1 (1989): 227–33. http://dx.doi.org/10.2466/pr0.1989.65.1.227.

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While it is theoretically plausible that locus of control and age are related, findings reported in the literature remain inconclusive. We suggest that the inconsistent results may be effects of differences in locus of control scale instruments used. For instance, will scales assuming multidimensionality of locus of control yield different results from scales assuming unidimensionality of the construct? Similarly, will scales that consist of general items produce results different from those scales that are research topic specific? Findings of two studies are reported. Both used locus of control scales specific to beliefs about food and health, but one was unidimensional, the other two-dimensional. Respondents in the two national telephone surveys were 406 and 461 women. The unidimensional scale produced a negative, linear relationship between age and locus of control: older women were more external than were younger women. In contrast, both dimensions of the two-dimensional scale formed quadratic relationships with age. The internal dimension showed internal beliefs increasing until age 60, then decreasing The relation between age and belief in powerful others/fate weakened until about age 50, then strengthened again. The latter findings suggest that, particularly in late middle age and on matters concerning food and health, internal and external beliefs are neither mutually exclusive nor necessarily inconsistent.
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McInish, Thomas H., and Mei Yan Lee. "Multidimensionality of Rotter's Locus of Control Scale." Psychological Reports 61, no. 1 (1987): 273–74. http://dx.doi.org/10.2466/pr0.1987.61.1.273.

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McInish and Srivastava recently examined the multidimensionality of Rotter's Locus of Control Scale for common stock investors. Following principal-component analysis with a varimax rotation, these authors extracted nine factors using the scree test and the latent root criterion. Replication using the Very Simple Structure index yields a single-factor solution. Parkes' two-factor solution using the same Very Simple Structure technique is obtained only if principal-factor analysis is employed to obtain the initial factor pattern.
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Dissertations / Theses on the topic "Locus of control scale"

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Kumlemark, Joakim, and Fredrik Berg. "Locus of control, syskonplacering och kön : Finns det några samband?" Thesis, Växjö University, School of Social Sciences, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1478.

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<p>The purpose of this study was to examine if there was a relation between birth order, gender and locus of control. There where 162 participants in the study, 44 men, 115 women. Birth order was coded into three levels. There where no significant differences between birth order and locus of control. The result showed that female participants where more external when it came to locus of control. When birth order was coded into two levels, there was a significant difference in locus of control. Only-borns where significant more internal than the other sibling groups. Firstborns/ only-borns where significant more internal than both second-born and last-borns. There was no interaction effect between birth order and gender. Adler´s sibling theories and Rotter´s theory of locus of control helped to explain the significant results found in this study.</p>
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Colebrook-Claude, Carnell. "Development and Validation of the Adolescent Internal Environmental Locus of Control Scale (AINELOC)." Thesis, Fielding Graduate University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10974518.

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<p> This dissertation aims to validate the Adolescent Internal Environmental Locus of Control (AINELOC) scales (green consumer, activist, advocate, and recycling attitude). The AINELOC was developed based on the lack of applicability in the original Internal Environmental Locus of Control (INELOC) scale to the adolescent population. This opportunity to adjust the language to make it more accessible for adolescents resulted in the construction of the AINELOC tool to research adolescents&rsquo; reasoning and innate ability to make interpretations about beliefs and motivations regarding the environment. It was demonstrated that persons with greater levels of internal environmental locus of control have positive mindsets and beliefs that affect their well-being, behavior, and attitude toward the environment. Collectively, the literature in this research explored the role of LOC as a driving factor and a strong predictor in shaping an individual&rsquo;s eco-centric thoughts and behavior. The factor structure of the AINELOC was examined and data collected from a sample of adolescents to validate the internal consistency of scales for this novel construct. Correlations between the Multidimensional Health Locus of Control (MHLOC) measure with the new AINELOC tool were conducted to provide substantiation for the convergent and discriminant validity of the AINELOC. </p><p>
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Batista, Camila Lemos. "Adaptação transcultural da Dieting Beliefs Scale: uma escala utilizada para avaliar a crença alimentar em adultos de ambos os sexos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/59/59134/tde-16052017-131256/.

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O número de indivíduos obesos quase dobrou desde 1980. Sendo assim, a obesidade torna-se uma ameaça para o equilíbrio físico, mental e social destes indivíduos. Entre os tratamentos psicológicos, destaca-se a Terapia Cognitivo Comportamental, na qual explica que o sistema de crenças de um indivíduo interfere no desenvolvimento de seus sentimentos e comportamentos e, quando distorcido, pode causar tendências disfuncionais de raciocínio. Adaptar instrumentos a fim de aprofundar os estudos em relação ao comportamento alimentar de indivíduos obesos, pode levar a promover ações para promoção de saúde destes. A Dieting Beliefs Scale, composta por 16 afirmações, divididas entre lócus de controle interno (fator 1), lócus que estão além do controle, (fator 2) e lócus externo (fator 3), avalia a relação entre peso e comportamento na dieta. O objetivo deste estudo é adaptar esta escala em adultos para a amostra não clínica (alunos e funcionários da Universidade de Ribeirão Preto - UNAERP) de ambos os sexos e aplicar a versão adaptada para amostra clínica (pacientes da clínica de Nutrição da UNAERP). A análise dos dados da adaptação foi realizada com 197 sujeitos da amostra não clínica e foram realizadas a tradução, análise das evidências de validade (Análise Fatorial Exploratória - AFE - e Análise Fatorial Confirmatória - AFC) e precisão ou fidedignidade (alpha de Cronbach e teste-reteste). A aplicação da escala adaptada foi realizada na amostra clínica (n=114). Em relação aos resultados da tradução, a amostra não clínica não apresentou dúvidas em relação à versão traduzida. Sendo assim, esta foi aplicada em 197 sujeitos desta amostra. Já em relação aos resultados das evidências de validade a AFE constatou que os itens 2, 9, 10, 11 e 15 apresentaram uma carga fatorial alta para o fator 1; os itens 5, 6 e 7 apresentaram alta carga fatorial para o fator 2 e os itens 8, 12 e 13, para o fator 3. Foram excluídos os itens 1, 3, 4 e 16 por terem apresentado carga fatorial abaixo de 0,40. Na AFC, o modelo re-especificado da escala original apresentou ajuste razoável. Os resultados da Precisão ou fidedignidade foi realizada por meio do Alpha de Cronbach (0,404), classificado como moderado e do Teste-reteste (n=96), onde se observou que o fator 1 possui maior índice de correlação (0,620), comparados com os fatores 2 (0,499) e 3 (0,381). Os resultados da aplicação da escala na amostra clínica mostram que há evidências da não relação estatisticamente significativa entre o IMC e os fatores da Escala de Crenças sobre Dieta. Esta amostra pode ter compreensão da importância dos fatores internos em um processo de perda de peso. Assim, as análises estatísticas demonstraram qualidades psicométricas razoáveis. Recomenda-se a utilização deste instrumento para pesquisas a fim de compreender as crenças dos indivíduos em processo de perda de peso e o fator que pode estar interferindo em seu comportamento<br>The number of obese people has nearly doubled since 1980. Thus, obesity becomes a threat to the physical, mental and social balance of these individuals. Among the psychological treatments, Cognitive Behavioral Therapy stands out, in which it explains that the belief system of an individual interferes in the development of their feelings and behaviors and, when distorted, can cause dysfunctional tendencies of reasoning. Adapting instruments to deepen the studies regarding the eating behavior of obese individuals may lead to actions to promote their health. The Dieting Beliefs Scale, composed of 16 statements, divided between internal control locus (factor 1), locus that are beyond the control (factor 2) and external locus (factor 3), evaluates the relationship between weight and behavior in the diet. The aim of this study is to adapt this scale in adult non-clinical sample (students and staff at the University of Ribeirão Preto - UNAERP) of both genders and apply the version adapted for clinical sample (clinic patients Nutrition UNAERP). The analysis of the adaptation data was performed with 197 subjects from the non-clinical sample and the translation, analysis of the validity evidence (Exploratory Factor Analysis - AFE - and Confirmatory Factor Analysis - AFC) and accuracy or reliability (Cronbach\'s alpha and test -retested). The application of the adapted scale was performed in the clinical sample (n = 114). Regarding the results of the translation, the non-clinical sample showed no doubts about the translated version. Therefore, it was applied in 197 subjects of this sample. Regarding the results of the validity evidence, AFE found that items 2, 9, 10, 11 and 15 presented a high factor load factor 1; Items 5, 6 and 7 presented a high factor load for factor 2 and items 8, 12 and 13 for factor 3. Items 1, 3, 4 and 16 were excluded because they presented a factorial load below 0.40. In the AFC, the re-specified model of the original scale presented a reasonable fit. The results of Accuracy or reliability were performed using Cronbach\'s Alpha (0.404), classified as moderate and Test-retest (n = 96), where it was observed that factor 1 had a higher correlation index (0.620), compared with Factors 2 (0.499) and 3 (0.381). The results of scale application in the clinical sample show that there is evidence of a non-statistically significant relationship between BMI and Dietary Belief Scale factors. This sample may have an understanding of the importance of internal factors in a weight loss process. Thus, the statistical analyzes demonstrated reasonable psychometric qualities. It is recommended to use this tool for research in order to understand the beliefs of individuals in the process of weight loss and the factor that may be interfering in their behavior
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Wentzel, Marcela Luise. "The Relationship of Locus of Control Orientation to the Academic Achievement of Doctoral Students." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc331528/.

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This study sought to determine the extent a relationship exists between locus of control and the rate of completion for proposal and dissertation defense among doctoral students. Levenson's Internal, Powerful Others, and Chance scales were utilized to identify locus of control orientation. Findings indicated that: (1) a majority, 102, scored highest on the Internal scale; (2) Internal scale scores above the median related to increased probability of a proposal and dissertation defense and to reduced time in reaching those points; (3) no significant difference was found between male and female defensive externals in completing the proposal or dissertation defense; and (4) females tended to score higher than males on the Internal scale. Among conclusions drawn are: (1) Internal scale scores above the median relate to a reduced length of time to complete the proposal and dissertation defense; and (2) few doctoral candidates scoring higher on the Powerful Others or Chance scales were identified in this doctoral program after the point of qualifying examinations.
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Keller, Haley. "Further validation of the Genetic Counseling Self-Efficacy Scale (GCSES): its relationship with personality characteristics." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553250401455124.

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Mayo, Albert Elton. "Children's Perceived Contingency of Teacher Reinforcements Measured with a Specific Scale, Helplessness and Academic Performance." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc277831/.

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A specifically oriented instrument was used to partially replicate a study by Dietz (1988) in an effort to compare the utility of the phi coefficient and Rescorla index measures of perceived contingency of reinforcement in children and examine the relationship of these measures to locus of control, teacher ratings of helplessness and academic performance.
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Uzdavines, Alexander William. "Test 'Em All and Let God Get Sorted Out: Re-Validating, Modifying, and Integrating God Health Locus of Control Scales." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1591819824966006.

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Sigvardsson, Dan. "Pendlingens påverkan på KASAM." Thesis, Högskolan Dalarna, Psykologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5385.

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Många hushåll och individer har i dagens samhälle tvingats börja pendla till sina arbeten bl.a. på grund av en förändrad arbetsmarknad. Syftet med föreliggande studie var att se om individer som pendlar regelbundet har ett lägre KASAM. Utgångspunkten var att individer med en mer extern kontrollokus ofta har lägre KASAM och att pendling hypotetiskt sett bör påverka individen lokus i en extern riktning. Sammanlagt 27 försökspersoner i åldrarna 22 – 50 år undersöktes med hjälp av KASAM test och I-E test. Deltagarna togs med bekvämlighetsurval från ett nordiskt flygbolag i Sverige, där 13 personer pendlande till arbetet och 14 var bosatta på arbetsorten, vilket visade att KASAM var signifikant lägre på 5 % nivå för de pendlande individerna, samt att kontrollokus var signifikant mer externt, också på 5 % nivå. Vidare forskning bör fokusera på individer från andra branscher för att se om resultaten är allmänna.
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Vester, Malin. "Risktagande inom räddningstjänsten." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-80146.

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Räddningstjänsten är ett yrke där risktagande är en del av vardagen för personalen, det finns många olika faktorer som påverkar hur och varför ett beslut tas före och under en räddningsinsats. Denna studie syftar till att undersöka skillnader i risktagande mellan befattningar inom räddningstjänsten, baserat på faktorer som sensationssökning och synen på den egna kontrollen av handlingar och dess konsekvenser. Metoden som användes var en webenkät baserad på två validerade tester för att undersöka dessa faktorer; Sensation Seeking Scale samt Locus of Control-test. Sammanlagt deltog 17 stycken respondenter och alla var män, befattningarna varierade mellan brandman, styrkeledare, insatsledare, ställföreträdande räddningschef samt räddningschef. Resultatet visade en signifikant skillnad i sensationssökning mellan befattningarna där de lägre befattningarna hade störst sensationssökning. Ingen signifikant skillnad i Locus of Control-testet mellan befattningarna fanns. Slutsatsen utifrån resultatet är att lägre befattningar inom räddningstjänsten söker sensation i större utsträckning än högre befattningar och kan sägas ha en annan syn på risker och risktagande. Till exempel är en större tolerans för risker, en mindre erfarenhet av yrket och dess riskfyllda situationer samt en större acceptans för konsekvenser av ett risktagande, olika karaktärsdrag för vad en större sensationssökning innebär.
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Prinsloo, Mariechen. "Job insecurity in a retail bank in South–Africa : scale validation and an exploration of negative attitudinal outcomes / Prinsloo M." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7294.

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The objective of this study was, firstly, to investigate the reliability of a measure of qualitative and quantitative job insecurity and, secondly, to determine the relationship between qualitative and quantitative job insecurity, job satisfaction, affective organisational commitment, turnover intention and locus of control. A cross–sectional survey design was used which included participants randomly selected from a retail banking group across junior, supervisory and middle management levels (n=178). The job insecurity scales of Hellgren, Sverke and Isaksson (1999); job satisfaction scale of Hellgren, Sjöberg and Sverke (1997); affective organisational commitment scale of Allen and Meyer (1990); turnover intention scale of Sjöberg and Sverke (2001) and the locus of control scale of Levenson (1981) were administered. Descriptive statistics were used in order to analyse the data. Structural equivalence was used for the comparison of the factor structures of the job insecurity scale for the three language groups. Furthermore, in order to determine the relationships between the variables, the Pearson product–moment correlation coefficients were used, while the dependent variable turnover intention was predicted by means of a regression analysis. As indicated at the outset, two research articles form the basis of this mini–dissertation: Based on the first article, results indicate that both the qualitative and quantitative scale presented satisfactory levels of reliability across different language groups, and a relationship between these dimensions (quantitative and qualitative) was noticeable. However, the item “I think my future prospects and opportunities within the organisation are good” included in the qualitative job insecurity scale could well be problematic, the deduction being that language barriers probably played a role in participants’ interpretation of the question. According to the second article, both qualitative and quantitative job insecurity positively related to turnover intentions. Furthermore, job satisfaction reported a negative relationship with turnover intention, and a negative relationship between qualitative job insecurity and job satisfaction came to the fore. Locus of control, on the other hand, had a direct bearing on qualitative job insecurity, while only job satisfaction and quantitative job insecurity directly predicted employees’ turnover intention in the banking sector. Finally, locus of control seemingly had no mediating effect when predicting turnover intention. Based on the afore–going, this mini–dissertation will conclude by offering deductions and making recommendations for further research as well as offering possible solutions to the commercial banking sector as far as the retention of staff is concerned.<br>Thesis (M.Com. (Human Resource Management))--North-West University, Potchefstroom Campus, 2012.
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Books on the topic "Locus of control scale"

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Whitehead, James Robert. The development of multidimensional scales for the measurement of locus of control of reinforcement for physical fitness behaviors. Microform Publications, 1986.

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Andel, Glen E. Van. Mood, health locus of control and physical activity. Microform Publications, College of Human Development and Performance, University of Oregon, 1987.

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McCready, Marina Loi. Locus of control and adherence to exercise programs. Microform Publications, College of Human Development and Performance, University of Oregon, 1987.

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Toselli, Monica. Destini alternativi: Il costrutto "locus of control" nello studio della personalità. ETS editrice, 1988.

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United States. Animal and Plant Health Inspection Service, ed. Biological control of euonymus scale. U.S. Dept. of Agriculture, Animal and Plant Health Inspection Service, 1993.

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Birkett, Nicholas J. Health locus of control in a community hypertension survey. Community Health Research Unit, University of Ottawa, Dept. of Epidemology and Community Medicine ; Ottawa-Carleton Health Dept., 1993.

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Kets de Vries, Manfred F. R., ed. "Locus of control and entrepreneurship: A three-country comparative study". INSEAD, 1986.

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Davison, Edward J., Amir G. Aghdam, and Daniel E. Miller. Decentralized Control of Large-Scale Systems. Springer US, 2020. http://dx.doi.org/10.1007/978-1-4419-6014-6.

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Kazmierczak, T. AEC pilot-scale incinerator control system. Alberta Environmental Centre, 1994.

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Lunze, Jan. Feedback control of large-scale systems. Prentice-Hall, 1992.

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Book chapters on the topic "Locus of control scale"

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Shahid, Azmeh, Kate Wilkinson, Shai Marcu, and Colin M. Shapiro. "Sleep Locus of Control Scale (SLOC)." In STOP, THAT and One Hundred Other Sleep Scales. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9893-4_83.

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Yan, Xu. "Internal-External Locus of Control Scale." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6000-2_28-1.

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Wang, Lei, and Meizhen Lv. "Internal-External Locus of Control Scale." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_41.

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Wang, Lei, and Meizhen Lv. "Internal-External Locus of Control Scale." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_41-1.

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Yan, Xu. "Internal-External Locus of Control Scale." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7874-4_28.

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Wallston, Kenneth A. "Multidimensional Health Locus of Control Scales." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_605.

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Khanfer, Riyad, John Ryan, Howard Aizenstein, et al. "Multidimensional Health Locus of Control Scales." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_605.

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Wallston, Kenneth A. "Multidimensional Health Locus of Control Scales." In Encyclopedia of Behavioral Medicine. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_605-2.

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Bradley, Graham L., and Beverley A. Sparks. "The Development and Preliminary Validation of a Service Locus of Control Scale." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17320-7_67.

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Delgado, F. X., J. H. Britton, M. L. Lobo-Lima, E. Razafindratiana, and W. Swearingen. "Small-scale field trials with entomopathogenic fungi against Locusta migratoria capito in Madagascar and Oedaleus senegalensis in Cape Verde." In New Strategies in Locust Control. Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-9202-5_22.

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Conference papers on the topic "Locus of control scale"

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Karlova-Sergieva, Vessela, Nina Nikiolova, Boris Grasiani, and Georgi Stefanov. "Phase Root Locus - Application in Internal Model Control Systems." In 2024 International Conference Automatics and Informatics (ICAI). IEEE, 2024. https://doi.org/10.1109/icai63388.2024.10851533.

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Nesenchuk, Alla. "Superimposed Root Locus Portraits for Parametric Synthesis of Robust Control Systems." In 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2024. http://dx.doi.org/10.1109/icecet61485.2024.10698439.

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Chandra, Meliana, and Lailatul Muniroh. "How Locus of Control Orientations Affects Individual Nutritional Status: A Literature Review." In The International Conference on Social Determinants of Health. SCITEPRESS - Science and Technology Publications, 2023. https://doi.org/10.5220/0012898900004564.

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AlFalahi, Hessah. "LOCUS OF CONTROL." In International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/inted.2016.0232.

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Vanecek, A. "Root locus of chaotic attractors." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960727.

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Johansen, Simon Kristoffer, and Anne Marie Kanstrup. "Expanding the Locus of Control." In NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction. ACM, 2016. http://dx.doi.org/10.1145/2971485.2971497.

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"On root locus traps." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786379.

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Cherng, Tzyh-Chyang, and Yoram Koren. "Stability of the Optimal Locus System." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790169.

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Bovbel, Paul, and Gary Servin. "Tailor CI: How Locus deploys ROS robots at scale." In ROSCon2019. Open Robotics, 2019. http://dx.doi.org/10.36288/roscon2019-900360.

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Bovbel, Paul, and Gary Servin. "Tailor CI: How Locus deploys ROS robots at scale." In ROSCon2019. Open Robotics, 2019. http://dx.doi.org/10.36288/roscon2019-900904.

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Reports on the topic "Locus of control scale"

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Andor, Mark, James Cox, Andreas Gerster, Michael Price, Stephan Sommer, and Lukas Tomberg. Locus of Control and Prosocial Behavior. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30359.

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Eid, Marlene. Internal external locus of control and the choice of therapy. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5580.

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Nguyen, Ha Trong, and Francis Mitrou. Natural disasters, home damage, and the eroding locus of control. The University of Queensland, 2024. http://dx.doi.org/10.14264/4c0b8fe.

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Kwon, Wi-Suk, Veena Chattaraman, and Juan Gilbert. Virtual Agent Locus of Control: Cognitive Assistance for Older Consumers’ Online Shopping. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-654.

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Knofczynski, Andrew R. Correlations Between Oral Health Knowledge, Locus of Control, and Oral Health Status. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1012712.

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Hunter, David R., and John E. Stewart. Locus of Control, Risk Orientation, and Decision Making Among U.S. Army Aviators. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada509824.

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Justice, Steve. Application of numerical analysis to root locus design of feedback control systems. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.379.

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Buckmaster, Lisa. Effects of cognition training on locus of control, weight reduction, and problem solving ability. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2850.

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Roberts, Amy. Internal-external locus of control and the life experiences of Soviet Pentecostal refugees in Portland, Oregon. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6072.

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Nguyen, Ha Trong, Stefanie Schurer, and Francis Mitrou. The (in)stability of locus of control: new insights from distributional effects of major life events. The University of Queensland, 2024. https://doi.org/10.14264/2738871.

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