Front Psychol.
2018; 9: 2305. The current review provides an overview of published research on teachers’ causal attributions since 1970s in the context of theoretical assumptions outlined in Weiner’s [2010] attribution theory. Results across 79 studies are first examined with respect to the prevalence of teachers’
interpersonal causal attributions for student performance and misbehavior, as well as intrapersonal attributions for occupational stress. Second, findings showing significant relations between teachers’ attributions and their emotions and cognitions, as well as student outcomes, are discussed. Third, an overview of results showing the prevalence and implications of teachers’ causal attributions to be moderated by critical background variables is also provided. Finally, observed themes across
study findings are highlighted with respect to the fundamental attribution error and the utility of Weiner’s attribution theory for understanding how teachers’ explanations for classroom stressors impact their instruction, well-being, and student development. Keywords: teachers, causal attributions, interpersonal, intrapersonal, occupational stress, review Classroom instruction and
learning are complex processes characterized by intensive cognition as to the causal nature of student and teacher outcomes. When a student performs poorly on an academic task, for example, he or she might ascribe the failure to lack of effort, bad luck, or teaching quality. Likewise, teachers also experience successes and failures with respect to their instructional goals concerning student performance and classroom behaviors, with studies showing teachers who fail to achieve their personal
teaching goals to report a more maladaptive emotional profile [Sutton, 2007; Frenzel et al., 2009, 2015;
Frenzel, 2014] as well as poorer levels of occupational stress, burnout, satisfaction, and commitment [Chang, 2009]. Recent findings further suggest that teachers’ motivational beliefs may help mitigate the impact of perceived instructional failures on their emotional well-being such as intrinsic
motivation [e.g., Roth et al., 2007; Roness, 2011], achievement goal orientations [e.g., Butler, 2012;
Wang et al., 2017], and teaching self-efficacy [Klassen et al., 2011]. Over the past 50 years, motivation research has also consistently examined the effects of individuals’ causal explanations or attributions for failure experiences on their emotions, persistence,
and achievement in educational settings [e.g., Heider, 1958; Atkinson, 1964]. According to attribution theory, individuals are particularly motivated to seek specific explanations for negative educational outcomes, with these causal attributions, in turn, having important consequences for academic
development [Weiner, 1985, 2010]. Whereas most research applying attribution theory to the classroom has focussed on students’ causal attributions for academic setbacks [for reviews, see
Weiner, 1976; Wilson and Linville, 1982; Ames and Ames, 1984; Graham, 1984b,
1991; Forsterling, 1985; Graham and Williams, 2009], the nature and effects of teachers’ causal attributions for their classroom experiences has also received consistent empirical
attention [Cooper and Lowe; 1977, study 2; Tollefson and Chen, 1988; Butler, 1994; Matteucci et al., 2008b;
Wang et al., 2015]. However, there to date exists no comprehensive review article in education literature of empirical research on the prevalence, correlates, and consequences of causal attributions for classroom challenges made by teachers. To address this unfortunate research gap, the present article provides a systematic review of published research on the types of attributions made by
practicing teachers’ when faced with student problems and teaching obstacles as well as their impact on instructional behaviors, student outcomes, and teachers’ own psychological well-being. According to Weiner’s [1985,
2000, 2010] attribution theory, a causal attribution is defined as an individual’s perception as to the cause of a success or failure event, with the attribution selected able to be classified according to underlying causal dimensions that correspond to specific effects on subsequent emotions,
decision-making, and performance. The first of these causal dimensions, locus of causality, refers to the attribution being either internal or external to the individual in origin. For example, attributions having an internal locus of causality would prototypically implicate one’s own ability or effort, whereas attributions to external factors might instead involve luck or environmental circumstances. In contrast, the second causal dimension, stability, reflected the extent to
which one attributed an event to causes that were temporally persistent, such as low ability, or causes that fluctuated over time, such as luck. In the event of failure, although one would expect it to reoccur if an attribution was made to a stable antecedent, attributions to unstable causes should be more motivating in allowing for the possibility of future success. Although Weiner’s initial model included only two causal dimensions, a third dimension referred to as
controllability – the extent to the perceived cause of an outcome is regarded as personally changeable – was later added to distinguish this framework from the “locus of control” construct proposed by Rotter [1966; Weiner, 1979]. In contrast to
Rotter’s model in which the concepts of internality and controllability were conflated [e.g., internal locus: attributions to effort and ability], Weiner differentiated between them given the divergent motivational consequences of internal attributions depending on their perceived controllability. For example, whereas a failure attribution to lack of effort implies the potential for improvement, attributing failure to an intractable lack of ability does not. In addition to
differentiating three dimensions underlying causal attributions, attribution theory further proposes specific cognitive and emotional consequences of each dimension that occur after causal attributions are selected, namely expectations of future performance and perceived responsibility for the events. Whereas attributions with an internal locus of causality should lead to perceptions of self-esteem and feelings of pride, expectations for future success and the emotions of
hopefulness/hopelessness should be more significantly impacted by stability dimension of the attribution selected [Weiner, 1985, 2000, 2010]. Likewise, the
controllability dimension is proposed to most significantly correspond with perceptions of personal responsibility and the emotions of guilt and shame. This theory further proposes the occurrence of mixed emotions, for example, with failure attributions to lack of effort contributing to less pride [internal] yet higher levels of motivating emotions such as hope [unstable] and guilt [controllable], emotions that, in turn, are assumed to directly contribute to achievement-striving
behaviors and performance. Weiner’s [2001] attribution theory also differentiates between intrapersonal and interpersonal attributions for achievement outcomes. The intrapersonal perspective, as described above, refers to the attributions individuals make for
their own performance, focusing on how expectations for personal success and responsibility can lead to self-directed feelings of pride, guilt, hope, or shame and, in turn, self-relevant educational outcomes [e.g., persistence]. On the other hand, the interpersonal approach to Weiner’s theory concerns the attributions made for outcomes experienced by others and focuses primarily on how perceptions of another’s responsibility for an outcome contributes to other-directed emotions [e.g., sympathy,
anger] and behaviors [e.g., punishment, assistance; Weiner, 2001, 2003]. For example, although teachers may attribute their own instructional failures or occupational stress to specific factors [e.g., insufficient resources, lesson preparation], their attributions for students’ misbehaviors or poor
performance may differ [e.g., insufficient student effort, parental support]. With respect to teacher behavior resulting from attributions for student failure to factors implicating student responsibility, Weiner [2003, 2010] further proposed two main goals underlying teacher
reprimands: utilitarian goals or retributive goals. In contrast to teachers with utilitarian goals who use punishment to encourage future behavioral change, teachers with retributive goals focus instead on students’ past transgressions and administering negative deserved consequences out of fairness [Weiner, 2000]. Moreover, early scenario research by
Weiner and Kukla [1970] suggested that although the degree of reward vs. punishment administered by teachers depended largely on student performance, the perceived combination of prototypic attributions [student effort vs. ability] could also impact teaching behavior. In this study, poor student performance attributed to high ability combined with lack of effort was most strongly punished, whereas
poor-performing students perceived as investing effort despite low ability were not punished as severely. Follow-up research by Reyna and Weiner [2001] further indicated that retributive punishment was more likely when students were perceived as responsible for their failure due to lack of effort, whereas more utilitarian punishment was reported when students were believed to lack ability and not
be responsible for their performance [Weiner, 2003]. As outlined above, Weiner’s [1985, 2000,
2001, 2010] attribution theory thus represents a comprehensive theoretical framework for understanding how individuals in educational settings perceive the causes underlying the performance of themselves and others, as well as the effects of these causal attributions on subsequent cognitions,
emotions, and behaviors in the classroom. In incorporating both interpersonal and intrapersonal perspectives, this theory is also particularly useful for understanding how teachers perceive student challenges and occupational stressors, and how their attributions for these experiences impact student–teacher interactions, teaching behaviors, and teachers’ emotional well-being. However, despite multiple publications providing in-depth reviews of research on causal attributions in students since
the 1970s [e.g., Weiner, 1972, 1976; Graham, 1984b, 1991;
Graham and Williams, 2009], there to date exists no published comprehensive reviews of research on causal attributions in teachers. The current review attempts to address the gap in motivation research literature by reviewing existing published research specifically exploring the types of causal attributions made by practicing K-12 teachers for both student difficulties and personal failures. More
specifically, the current review aimed to answer: [1] how prevalent are certain attributional styles in teachers and [2] what are the relevant antecedents, correlates, and consequences of certain attributional styles on teachers and their students. Implications of the findings presented concerning future directions in teacher motivation and professional development practices will also be discussed. In the sections that follow, we first present our literature search and screening protocols,
followed by subsequent reviews attributions of an interpersonal nature [concerning students’ academic performance vs. misbehaviors] and of an intrapersonal nature [teachers’ own occupational stress]. Each type of causal attribution style is further described in each section with respect to its prevalence, relationships with teacher and/or student outcomes, and the extent of observed disagreement between teachers and others [e.g., parents, students] concerning specific attributional styles.Abstract
Introduction
Conceptual Framework
Attribution Theory
Interpersonal and Intrapersonal Applications of Weiner’s Attribution Theory
The Present Review
Methods
Four databases were included in the literature search including ERIC, PsycINFO, Web of Science, and Scopus. Concerning article search terms, the word “teacher” or “instructor” or “educator” have been included with the words “attribution” or “attributing” or “causal explanation” or “causal ascription” also being included in the keywords or abstract. Database searches included journal articles [e.g., empirical articles, reviews, open-access], book chapters, doctoral dissertations, or conference proceedings written in the English language [see Table 1 and Figure 1 for details on search terms and results]. Snowball searches were also conducted by reviewing references of primary articles found through database searches. From an initial total of more than 3,889 search results, 373 unique and relevant articles were subsequently screened as per four exclusion criteria specific to the aim of the current review to investigate causal attributions in practicing K-12 educators concerning their teaching practice.
Table 1
Key search term.
Eric ProQuest | Teacher∗ AND attribution∗ | 341 |
Instructor∗ AND attribution∗ | 27 | |
Educator∗ AND attribution∗ | 35 | |
Teacher∗ AND attributing | 43 | |
Instructor∗ AND attributing | 4 | |
Educator∗ AND attributing | 12 | |
Teacher∗ AND causal explanation∗ | 35 | |
Instructor∗ AND causal explanation∗ | 2 | |
Educator∗ AND causal explanation∗ | 6 | |
Teacher∗ AND causal ascription∗ | 2 | |
Instructor∗ AND causal ascription∗ | 0 | |
Educator∗ AND causal ascription∗ | 0 | |
Total | 507 | |
PsycINFO | Teacher∗ AND attribution∗ | 677 |
Instructor∗ AND attribution∗ | 47 | |
Educator∗ AND attribution∗ | 71 | |
Teacher∗ AND attributing | 35 | |
Instructor∗ AND attributing | 1 | |
Educator∗ AND attributing | 10 | |
Teacher∗ AND causal explanation∗ | 12 | |
Instructor∗ AND causal explanation∗ | 0 | |
Educator∗ AND causal explanation∗ | 3 | |
Teacher∗ AND causal ascription∗ | 3 | |
Instructor∗ AND causal ascription∗ | 0 | |
Educator∗ AND causal ascription∗ | 0 | |
Total | 859 | |
Web of Science | Teacher∗ AND attribution∗ | 738 |
Instructor∗ AND attribution∗ | 59 | |
Educator∗ AND attribution∗ | 91 | |
Teacher∗ AND attributing | 47 | |
Instructor∗ AND attributing | 5 | |
Educator∗ AND attributing | 11 | |
Teacher∗ AND causal explanation∗ | 87 | |
Instructor∗ AND causal explanation∗ | 10 | |
Educator∗ AND causal explanation∗ | 12 | |
Teacher∗ AND causal ascription∗ | 4 | |
Instructor∗ AND causal ascription∗ | 0 | |
Educator∗ AND causal ascription∗ | 0 | |
Total | 1,064 | |
Scopus | Teacher∗ AND attribution∗ | 956 |
Instructor∗ AND attribution∗ | 108 | |
Educator∗ AND attribution∗ | 152 | |
Teacher∗ AND attributing | 77 | |
Instructor∗ AND attributing | 4 | |
Educator∗ AND attributing | 15 | |
Teacher∗ AND causal explanation∗ | 92 | |
Instructor∗ AND causal explanation∗ | 11 | |
Educator∗ AND causal explanation∗ | 15 | |
Teacher∗ AND causal ascription∗ | 8 | |
Instructor∗ AND causal ascription∗ | 0 | |
Educator∗ AND causal ascription∗ | 0 | |
Total | 1,438 |
Literature searches flow diagram.
First, studies with non-practicing teachers were excluded, including studies with pre-service teachers [e.g., Goyette et al., 2000; Shields and Edens, 2009; Carter et al., 2014], teaching assistants [e.g., Morgan and Hastings, 1998; Meel, 2011], and convenience samples [e.g., psychology undergraduates; Weiner and Kukla, 1970; Reyna and Weiner, 2001, study 1]. Second, as the review focuses on attributions made by K-12 teachers, studies with teachers in other educational contexts such as pre-school teachers [e.g., Dobbs and Arnold, 2009], vocational or language teachers outside K-12 settings [e.g., Dubois, 2000, study 3; Ghanizadeh and Ghonsooly, 2014, 2015; Jonasson, 2014], and post-secondary instructors were excluded [e.g., Ames, 1975; Zhou, 2006].
Third, articles examining attributions made by teachers that were not related to teaching or learning were excluded, such as attributions related to students’ physical attributes [e.g., Felson, 1980; Roth and Eisenberg, 1983], students’ unhealthy lifestyles [e.g., Power et al., 2010], chronic pain [Logan et al., 2007], poverty [e.g., Robinson, 2011], teacher selection and screening [e.g., Pounder, 1987], or principals’ behaviors [e.g., Leithwood and Jantzi, 1997]. Finally, studies in which attributions made by students concerning their teachers were excluded [e.g., Wyatt and Haskett, 2001; Chedzoy and Burden, 2009], as were articles exploring students’ perceived teacher attributions [e.g., Hau and Salili, 1996; Prihadi et al., 2012] or vice versa [e.g., Bar-Tal et al., 1981], to more clearly demarcate attributions made by teachers from those made by students. With the exclusion criteria applied, the final review total included 79 empirical papers in which practicing teachers’ causal attributions for instructional issues were explicitly addressed with each article selected aligning with one of three emergent themes: teacher attributions for student performance, student behavioral/emotional problems, and teachers’ occupational stress [see Table 2 for details on study designs and paradigms for all these studies and see Table 3 for an overview of study outcomes, domains, and dimensions].
Table 2
Study designs and paradigms for all 79 studies reviewed.
1. Algozzine and Stoller, 1981 | 46 teachers | Special education | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
2. Andreou and Rapti, 2010 | 249 teachers | Elementary | Greece | Survey | Yes | Mavropoulou and Padeliadu, 2002 | Student misbehaviors |
3. Arbeau and Coplan, 2007 | 202 teachers | Kindergarten | Canada | Survey | Yes | Hastings and Coplan, 1999; Coplan et al., 2002 | Student misbehaviors |
4. Arcia et al., 2000 | 21 teachers | Elementary | United States | Interview | No [two interviews] | Semi-structured interviews | Student misbehaviors |
5. Bar-Tal and Guttmann, 1981 | 8 teachers, 69 pupils, and 69 parents | Elementary | Israel | Survey | Yes | Questionnaire adapted from Bar-Tal and Darom [1979] | Academic performance |
6. Beckman, 1976 | 9 teachers and 49 parents | Elementary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
7. Bertrand and Marsh, 2015 | 19 teachers | Elementary and secondary | United States | Interview, survey | No [three interviews] | Semi-structured interviews and self-developed questionnaire | Academic performance |
8. Bibou-Nakou et al., 1999 | 200 teachers | Elementary | Greece | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
9. Bibou-Nakou et al., 2000 | 200 teachers | Elementary | Greece | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
10. Brady and Woolfson, 2008 | 118 teachers | Elementary | United Kingdom | Survey | Yes | Woolfson et al., 2007 | Academic performance |
11. Burger et al., 1982 | 17 teachers | Elementary | United States | Survey | No [three time points] | Cooper and Burger, 1980 | Academic performance |
12. Butler, 1994 | 60 teachers [Study 1] | Elementary | Israel | Survey | Yes | Self-developed questionnaire | Academic performance |
13. Christenson et al., 1983 | 105 teachers | Elementary | United States | Survey | No [each referral occurrence] | Self-developed questionnaire | Student misbehaviors |
14. Clark, 1997 | 97 teachers | Elementary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
15. Conway, 1989 | 5 teachers | Not specified | United Kingdom | Content analysis | Yes | Students’ end-of-year reports | Academic performance |
16. Cooper and Burger, 1980 | 39 teachers [Study 1] | Elementary, secondary, and special education | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
17. Cooper and Lowe, 1977 | 8 teachers [Study 2] | Elementary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
18. Cothran et al., 2009 | 23 teachers and 182 student | Secondary | United States | Interview | Yes | Patton, 2002 | Student misbehaviors |
19. Ding et al., 2010 | 244 teachers | Elementary and secondary | China | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
20. Emmerich et al., 2006 | 1,792 teachers | Elementary and secondary | United States | Survey | Yes | Emmerich et al., 2004 | Academic performance |
21. Espinoza et al., 2014 | 64 teachers | Secondary | United States | Experiment | No [four phases] | Self-designed questionnaire | Academic performance |
22. Fennema et al., 1990 | 38 teachers | Elementary | United States | Interview and survey | Yes | Structured interview and adapted questionnaire from Broverman et al. [1970] | Academic performance |
23. Georgiou, 2008 | 154 teachers and 159 student teachers | Elementary | Cyprus | Survey | Yes | Georgiou et al., 2002b | Academic performance |
24. Georgiou et al., 2002a | 277 teachers | Elementary | Cyprus | Survey | Yes | Scale adapted from O’Sullivan and Howe [1996] | Academic performance |
25. Gibbs and Gardiner, 2008 | 455 teachers | Elementary and secondary | England and Ireland | Survey | Yes | Scale adapted from Miller et al. [2000, 2002] | Student misbehaviors |
26. Gosling, 1994 | 160 teachers | Secondary | France | Experiment | Yes | Self-developed questionnaires | Academic performance |
27. Graham, 1984a | 2 teacher experimenters and 176 students | Elementary | United States | Experiment | Yes | Self-developed questions | Academic performance |
28. Guskey, 1982 | 184 teachers | Elementary and secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
29. Guttmann, 1982 | 28 teachers, 107 mothers, and 220 students | Elementary | Israel | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
30. Hall et al., 1989 | 214 teachers | Elementary and secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
31. Ho, 2004 | 473 teachers | Secondary | Australia and Hong Kong | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
32. Hughes et al., 1993 | 55 teachers | Elementary | United States | Survey and Interview | Yes | Medway, 1979 | Student misbehaviors |
33. Hui, 2001 | 214 teachers and 2,045 students | Secondary | Hong Kong | Survey | Yes | Hui, 2001, 1997 Unpublished | Student misbehaviors |
34. Jackson, 2002 | 64 teachers, 3 school administrators, and 6 professionals | Elementary | United States | Content analysis | Yes | School referral forms | Student misbehaviors |
35. Jager and Denessen, 2015 | 64 teachers | Secondary | Netherlands | Survey | Yes | Self-developed questionnaire | Academic performance |
36. Juvonen, 1988 | 4 teachers and 84 students | Elementary | Finland | Survey | Yes | Self-developed questionnaire | Academic performance |
37. Kauppi and Porhola, 2012 | 215 teachers | Elementary and secondary | Finland | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
38. Klassen and Lynch, 2007 | 7 teachers and 28 students | Secondary, special education | Canada | Interview | Yes | Semi-structured questionnaire | Academic performance |
39. Kleftaras and Didaskalou, 2006 | 35 teachers and 323 students | Elementary | Greece | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
40. Kulinna, 2007 | 199 teachers | Elementary and secondary | United States | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
41. Kurtz et al., 1990 | 102 teachers | Elementary | Germany and United States | Survey | Yes | Questionnaire adapted from Carr et al. [1989] | Academic performance |
42. Matteucci, 2007 | Study 1: 122 teachers; Study 2: 202 teachers | Secondary | Italy | Survey | Yes | Self-developed questionnaire extended upon and adapted from Reyna and Weiner [2001] | Academic performance |
43. Matteucci and Gosling, 2004 | Study 1: 115 teachers; Study 2: 118 teachers | Secondary | Study 1: Italy; Study2: Italy and France | Survey | Yes | Self-developed questionnaire | Academic performance |
44. Matteucci et al., 2008b | 126 teachers | Elementary | Italy | Survey | Yes | Questionnaire adapted from Dubois and Le Poultier [1991] | Academic performance |
45. Mavropoulou and Padeliadu, 2002 | 305 teachers | Elementary | Greece | Survey | Yes | Questionnaire adapted from Soodak and Podell [1994] | Student misbehaviors |
46. McAuliffe et al., 2009 | 12 teachers and 127 students | Elementary | United States | Classroom observation, survey | Yes | Johnston et al., 2000 | Student misbehaviors |
47. McCormick, 1997 | 487 teachers | Elementary and secondary | Australia | Survey | Yes | Self-developed questionnaire | Occupational stress |
48. McCormick and Shi, 1999 | 687 teachers | Elementary and secondary | Australia and China | Survey | Yes | Self-developed questionnaire | Occupational stress |
49. McCormick and Solman, 1992a | 387 teachers | Elementary and secondary | Australia | Survey | Yes | Self-developed questionnaire | Occupational stress |
50. McCormick and Solman, 1992b | 111 teachers | Elementary and secondary | Australia | Survey | Yes | Self-developed questionnaire | Occupational stress |
51. Medway, 1979 | Study 1: 30 teachers; Study 2: 24 teachers | Study 1: Elementary and secondary; Study 2: Elementary | United States | Study 1: Interview; Study 2: Survey | Yes | Self-developed questionnaire | Student learning and behaviors |
52. Miller, 1995 | 24 teachers | Elementary | United Kingdom | Interview | Yes | Structured interview | Student misbehaviors |
53. Natale et al., 2009 | 16 teachers and 69 students | Kindergarten | Finland | Survey | No [two assessments] | Self-developed questionnaire | Academic performance |
54. Pirrone, 2012 | 370 teachers | Elementary | Italy | Survey | Yes | Questionnaire adapted from Rousvoal [1987] | Academic performance |
55. Poulou and Norwich, 2000 | 391 teachers | Elementary | Greece | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
56. Prawat et al., 1983 | 58 teachers | Elementary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
57. Rejeski and McCook, 1980 | 40 teachers | Elementary | United States | Survey | Yes | Questionnaire adapted from Lowe et al. [1978] | Academic performance |
58. Reyna and Weiner, 2001 | 40 teachers [Study 2] | Secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
59. Riley and Ungerleider, 2012 | 21 teachers | Secondary | Canada | Interview | Yes | Self-developed questionnaire | Academic performance |
60. Rodriquez and Tollefson, 1987 | 155 teachers | Elementary | Costa Rica | Survey | Yes | Self-developed questionnaire | Academic performance |
61. Rolison and Medway, 1985 | 180 teachers | Elementary | United States | Experiment | Yes | Self-developed questionnaire | Academic performance |
62. Ross et al., 1974 | 32 teachers and 32 students | Elementary and secondary | United States | Experiment | Yes | Self-developed questionnaire | Academic performance |
63. Savina et al., 2014 | 80 teachers, 30 psychologists, and 99 parents | Elementary | Russia | Survey | Yes | Self-developed questionnaire | Student misbehaviors |
64. Soodak and Podell, 1994 | 110 teachers | Elementary | United States | Survey | Yes | Self-developed questionnaire | Student learning and misbehaviors |
65. Tõeväli and Kikas, 2016 | 53 teachers and 760 students | Elementary | Estonia | Survey | No [two assessments] | Questionnaire adapted from Natale et al. [2009] and Upadyaya et al. [2012] | Academic performance |
66. Tollefson and Chen, 1988 | 161 teachers | Elementary and secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
67. Tollefson et al., 1991 | 97 teachers | Elementary and secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
68. Tollefson et al., 1990 | 44 teachers | Elementary, secondary, and post-secondary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
69. Tom and Cooper, 1986 | 25 teachers | Elementary | United States | Survey | Yes | Self-developed questionnaire | Academic performance |
70. Upadyaya et al., 2012 | 16 teachers and 69 students | Kindergarten | Finland | Survey | No [two assessments for students, two assessments for teachers] | Self-developed questionnaire | Academic performance |
71. Vernberg and Medway, 1981 | 30 teachers and 30 parents | Elementary | United States | Interview | Yes | Self-developed interview questions | Student misbehaviors |
72. Vlachou et al., 2014 | 265 teachers | Elementary | Greece | Survey | Yes | Clark, 1997 | Academic performance |
73. Wang et al., 2015 | 523 teachers | Elementary and Secondary | Canada | Survey | Yes | McAuley et al., 1992 | Occupational stress |
74. Wiley and Eskilson, 1978 | 126 teachers | Elementary | United States | Experiment | Yes | Self-developed questionnaire | Academic performance |
75. Wissink and de Haan, 2013 | 5 teacher and 54 parents/caregivers | Elementary | Netherlands | Content analysis | Yes | Conversations between teachers and parents; Graham, 1991 | Academic performance |
76. Woodcock and Jiang, 2013 | 103 teachers | Elementary and secondary | China | Survey | Yes | Questionnaire adapted from Clark [1997] and Woodcock and Vialle [2011] | Academic performance |
77. Woolfson and Brady, 2009 | 99 teachers | Elementary | United Kingdom | Survey | Yes | Questionnaire adapted from Clark [1997] | Academic performance |
78. Woolfson et al., 2007 | 199 teachers | Elementary | United Kingdom | Survey | Yes | Brady and Woolfson, 2008 | Academic performance |
79. Yehudah, 2002 | 51 teachers and 51 students | Secondary | Nigeria | Survey | Yes | Students’ oral essays followed by self-developed questions | Academic performance |
Table 3
Overview of study outcomes, domains, and dimensions.
Interpersonal | Academic performance | Prevalence | 22 | 48 [8–390] |
Teacher outcome | 10 | 82 [8–277] | ||
Responsibility | 9 | 39 [8–202] | ||
Student outcomes | 3 | 16 [16–53] | ||
Moderating factors | 17 | 102 [1–390] | ||
Disagreement | 3 | 7 [4–8] | ||
Interpersonal | Classroom misbehaviors | Prevalence | 19 | 108 [13–473] |
Teacher/student outcome | 5 | 110 [13–391] | ||
Moderating factors | 9 | 223 [73–473] | ||
Disagreement | 4 | 54 [23–214] | ||
Intrapersonal | Occupational stress | Prevalence | 6 | 505 [222–687] |
Teacher outcome | 4 | 505 [416–614] |
Results
Interpersonal Attributions: Student Performance
Most research on teachers’ causal attributions has explored teachers’ beliefs concerning the causes underlying their students’ academic performance with respect to success and failure outcomes. However, it should be noted that teachers’ perceptions of student performance are multifaceted and subjective in nature, with some studies examining teacher-perceived student success or failure as pertaining specifically to academic marks [e.g., Wiley and Eskilson, 1978; Butler, 1994] or student competition [e.g., top performers; Beckman, 1976], and others focusing instead on student improvement or learning gains as a successful outcome [Emmerich et al., 2006; Espinoza et al., 2014]. In many studies, although teachers are directly asked to reflect on a particular student success or failure scenario, they are typically provided with no specific guidance by researchers as to the standard against which determinations of success and failure are to be made [e.g., Wiley and Eskilson, 1978; Cooper and Burger, 1980; Fennema et al., 1990; Clark, 1997]. Accordingly, in the present review we operationalize the terms success and failure in a more general manner such that success concerns satisfactory academic work as perceived by teachers, with student failure being perceived as generally unsatisfactory academic work.
Attribution Prevalence
Findings from Burger et al. [1982] suggest that teachers tend to attribute students’ academic performance to factors that are internal to the student and stable over time, particularly when the outcome matches teachers’ original expectations toward the students [ability, consistent effort, student personality]. Conversely, teachers’ instead tend to implicate unstable factors when explaining student performance that was not consistent with teachers’ initial expectations [instructional methods, temporary effort]. It is important to note in the study by Burger et al. [1982] that teachers’ expectations were not assessed as a cognitive consequences of attributions to stable/unstable factors as proposed in Weiner’s theory [expectations for future success], but rather as in indicator of teachers’ satisfaction with their students’ performance [having satisfied past expectations for student success]. Teachers have also been found to be more likely to explain student failure as due to factors internal to the student [e.g., student ability, effort] or family influences than teacher- and school-related issues [Burger et al., 1982; for similar findings see Rolison and Medway, 1985; Hall et al., 1989; Tollefson et al., 1990; Jager and Denessen, 2015].
More specifically, approximately half of the teachers in Tollefson et al.’s [1990] study attributed student failure to student effort, with a significant proportion of attributions also involving external family variables [30%] and other internal student characteristics [77%; e.g., previous experiences, emotional maturity, interest, attention], However, only 2% of teachers in this study attributed student failure to teacher characteristics, and no attributions were reported to task difficulty. Results from Jager and Denessen [2015] similarly showed teachers to primarily explain students’ failure as due to internal student factors [e.g., attention, motivation, effort] than lesson difficulty or instructional quality [least common], reporting greater blame when failure was perceived as internal to and controllable by the student and lower criticism following external and uncontrollable attributions. Although other study findings suggest that teachers’ may focus especially on students’ external and uncontrollable antecedents to explain student performance [e.g., influence of prior teachers, learning experiences, or other students; Bar-Tal and Guttmann, 1981; Rolison and Medway, 1985; Hall et al., 1989; Bertrand and Marsh, 2015], existing findings generally suggest that teachers are more likely to attribute student failure to factors internal to the students themselves.
In addition to studies exploring teacher attributions for student failures, studies comparing their attributions for student success have also been conducted. Overall, findings suggest that whereas teachers tend to attribute student failure to factors that are internal to students, and external to themselves, they are most likely to attribute student success to themselves [Guskey, 1982; Yehudah, 2002]. For example, whereas teachers might tend to attribute student failures to students’ lack of effort, they are instead found to attribute students’ success to their instructional strategies [Gosling, 1994; Kulinna, 2007]. However, other studies suggest that although teachers may show a tendency to take responsibility for student success [e.g., instructional quality], they nevertheless give credit to students for their success [e.g., student ability, effort; Ross et al., 1974] as opposed to external factors such as luck [Natale et al., 2009].
In addition to the types of attributions made by teachers for student performance in general, teachers’ attributions nonetheless differ depending on the student. As outlined in early research on self-fulfilling prophecies [Jussim and Harber, 2005; Jussim et al., 2009], teachers often assign “labels” to their students to differentiate their potential for success [e.g., perceived ability level], with their attributions for subsequent student performance tending to correspond with those pre-existing labels [Rejeski and McCook, 1980; Reyna, 2000, 2008]. For example, although a “high-ability” students’ success would likely be attributed to ability, a success outcome for a “low-ability” student would instead be more often attributed to the effort or luck. Conversely, teachers have been found to report more external or unstable attributions when failure is experienced by a “high-ability” student [e.g., task difficulty, temporary low effort], with failure by “low-ability” students more commonly attributed to low aptitude [Cooper and Burger, 1980; Rejeski and McCook, 1980; Fennema et al., 1990].
Research specifically exploring variability in teachers’ attributions for student performance further demonstrates both consistency, in terms of predictable attributional tendencies, as well as variability from one student to the next [e.g., Jager and Denessen, 2015]. More specifically, findings indicate that causal attributions to factors such as student ability, family, class difficulty, and instructional quality are consistently reported by teachers as responsible for students’ poor academic performance. Teachers have also been found to consistently attribute student failure as due to low motivation, low ability, and family difficulties as opposed to teaching-related factors [e.g., lesson difficulty, instructional quality; Jager and Denessen, 2015]. However, some attributions have been found to vary significantly depending on the student, such as attributions for student failure to student attention and effort [Jager and Denessen, 2015]. Nevertheless, as related findings suggest that teachers tend to perceive student effort as a stable internal trait [e.g., laziness; Tollefson et al., 1990], failing students believed to be investing insufficient effort may nevertheless not be expected to improve.
Relations With Teacher Emotions and Behavior
According to Weiner’s [1985, 2000, 2010] attribution theory, the way in which teachers perceive the causes of their students’ performance can affect teachers’ emotions that, in turn, predict their teaching behaviors. Conversely, this theory thus also suggests that the behaviors and emotions conveyed by teachers can be interpreted by students as conveying teachers’ underlying attributional beliefs concerning their students’ performance [Frenzel and Stephens, 2013]. Studies suggest that teachers tend to show more anger and disappointment when attributing student failure to low effort, and more empathy, pity, and helplessness to students perceived as low in ability [Butler, 1994; Georgiou et al., 2002a; Woolfson and Brady, 2009]. Findings further indicate that teachers’ expression of sympathy following student failure can negatively impact student motivation and performance by implying attributions to low ability, with teachers’ expression of anger instead indirectly contributing to performance improvements by fostering students’ beliefs in their ability to succeed [Graham, 1984a].
In addition to emotions publically expressed by teachers, findings also show teachers’ attributions concerning student achievement to impact their personal emotional experiences. For example, a study by Prawat et al. [1983] with United States primary school teachers found teachers to experience more pride and gratitude when a student perceived as high in effort succeeded as well as higher levels of guilt when a high-ability student failed. In addition, study findings suggested that teachers experience a range of emotions when they perceive a significant change in student effort. More specifically, whereas teachers reported higher levels of pride and happiness when a low-ability student substantially increased their study efforts, they reported feeling more guilt and less gratitude following a perceived drop in effort in high-ability students. Results similarly showed teachers to experience surprise following unanticipated changes in student performance, such as when a high-ability student failed or low-ability student succeeded. These results suggest that teacher emotions are indeed linked with their causal attributions for their students’ performance, likely due to teachers perceiving personal responsibility for the change, and particularly so when changes in students’ study habits or achievement levels are unexpected.
Teachers’ attributions for student performance have also been found to impact teachers’ instructional behaviors. Findings show attributions for poor student performance to low ability to correspond with encouragement of students and willingness to provide assistance, with attributions for student failure to low effort generating more criticism toward students, negative feedback, and a lower tendency to offer help [e.g., suggestions; Cooper and Lowe, 1977; Tollefson and Chen, 1988; Butler, 1994; Matteucci et al., 2008b; Woodcock and Jiang, 2013]. Teachers also tended to call on other students to assist and offer expedited help [e.g., providing correct answers] to students perceived as low in ability and responded more strictly to students perceived as low in effort in requiring them to invest more time on future tasks [Butler, 1994]. However, a study by Rodriquez and Tollefson [1987] with teachers in Costa Rica found opposite results, with teachers who perceived students as failing due to insufficient effort reporting a greater willingness to help and more positive perceptions of the student [e.g., liking, expected success]. Nevertheless, the reasons for these contradictory findings were unclear due to the underlying perceived dimensionality of low effort in Rodriquez and Tollefson’s [1987] study being unknown and the possibility of cultural differences concerning the perceived controllability of low effort.
Studies have also examined the effects of causal attributions on instructional responses to students’ failures with respect to their underlying causal dimensions. Research by Reyna and Weiner [2001] showed that teachers who made attributions for students’ failures to factors they perceived as personally controllable by the student [e.g., laziness, temporary lack of effort] provided not only negative feedback but endorsed retributive punishment goals. In contrast, teachers who believed student failure to result from uncontrollable factors [e.g., transfer student, low ability] or unstable factors [e.g., a temporary decrease in student effort] were found to report more utilitarian punishment goals. Moreover, teachers who believed student failure to be due to factors that were both controllable and stable in nature, such as persistent student laziness, were those most likely to use retributive punishment goals [Reyna and Weiner, 2001, study 2].
Perceptions of Responsibility
An additional important component of the interpersonal aspect of attribution theory is the extent to which individuals perceive others as personally responsible for their experiences. Although perceptions of responsibility are not proposed in Weiner’s model as a subcomponent of, or replacement for, causal attributions, they are nevertheless clearly identified as a proximal critical cognitive consequence of the types of causal attributions teachers that, in turn, influence subsequent emotions and behaviors. As such, whereas the concept of perceived responsibility is not identical to, nor interchangeable with, the preceding causal attributions in Weiner’s theory, they nevertheless are assumed to strongly reflect the types of attributions being made [concerning perceived controllability] and have thus been repeatedly examined as a proxy for teachers’ causal attributions in previous research. Existing research in educational settings has indeed long suggested that when students are held responsible for their failure experiences, they are more likely to be perceived as deserving of punishment as opposed to rewards [Weiner, 2000, 2001]. Findings with teachers have since expanded on these findings in showing that when students’ failures are perceived as due to lack of effort rather than lack of ability, teachers are not only more likely to experience greater anger but also believe students to be more responsible for their failure outcome [Matteucci, 2007; also see Matteucci et al., 2008a for a review].
Additionally, findings from Matteucci [2007] show higher levels of perceived student responsibility for failure to lead to retribution-motivated punishment behaviors such as assigning lower marks or more homework. Results further suggested that when student failure was interpreted by teachers as due to lack of ability, teachers who perceived the student to be less personally responsible were more likely to adopt a utilitarian instructional response [e.g., assistance, encouragement]. With respect to mediation effects, Reyna and Weiner [2001] further observed that teachers’ attributions to factors controllable by the student on teacher emotions [anger, sympathy] were mediated by perceived student responsibility, with the positive relationship between teachers’ perceptions of student responsibility and retributional punishment goals further mediated by teachers’ emotions [i.e., lower sympathy]. Concerning teachers taking personal responsibility for student failures, findings are mixed. Whereas some showing teachers to perceive themselves as less responsible than students for student failures [e.g., regardless of how it is attributed by teachers; Tollefson et al., 1990, 1991; Matteucci, 2007] and others showing teachers to take more responsibility for students’ failures than their successes [e.g., Ross et al., 1974; Cooper and Lowe, 1977; Cooper and Burger, 1980; Burger et al., 1982; Tom and Cooper, 1986].
Relations With Student Outcomes
In addition to research examining empirical links between teachers’ causal attributions for student performance and their own emotions and instructional behaviors, studies have further explored how teachers’ attributions impact their students’ motivation and performance. For example, Natale et al. [2009] found that when teachers made more effort and ability attributions for student success, their students reported higher motivation levels and better performance on reading-related tasks. More interestingly, students’ academic motivation and performance was found, in turn, to influence their teachers’ attributions: The higher a student’s motivation and performance, the stronger the tendency for teachers to attribute the student’s success to high effort and ability. However, when teachers attributed the student’s success to low task difficulty or having provided assistance, lower levels of reading-related motivation and poorer performance were subsequently observed.
Results from a study with kindergarten students and their teachers in Finland further suggested that teachers’ causal attributions can influence student interest in mathematics [Upadyaya et al., 2012]. More specifically, this study showed that the greater students’ intrinsic value in mathematics, the more likely their teachers were to attribute math success to factors internal to the student, such as ability and effort, as opposed to external factors such as task easiness. Such internal attributions in turn, contributed to even higher subsequent levels of student intrinsic value and academic performance in mathematics. Similar results were observed in a study with teachers in Estonia [Tõeväli and Kikas, 2016] in which higher levels of student math performance corresponded with a lower likelihood of teachers attributing students’ success in math to teacher assistance and a greater likelihood of attributing it instead to student ability. Nevertheless, study findings also showed that students tended to perform poorly in math when their teachers attributed students’ math successes as due to teacher assistance, with students also found to perform more poorly when teachers attributed students’ math failures to low ability. In other words, poor performance tended to result in teacher attributions to low student ability that, in turn, contributed to even poorer grades thus perpetuating a detrimental attribution-achievement cycle [Tõeväli and Kikas, 2016].
Finally, teachers’ causal attributions for student performance have been found to impact students’ perceptions of their peers by way of teachers’ attributional cues [e.g., verbal communication, emotional expression, body gestures]. In one experimental study, students were asked to watch videotapes in which a teacher acted so as to convey attributional cues suggesting either low or high levels of student effort to two students, each of whom had scored 80% correct on a recent exam. Whereas the teacher praised the first student and encouraged them to continue their successful efforts, the second student was criticized for not having invested sufficient effort to perform better. Study findings showed students to not only perceive the first student as smarter [c.f., incremental self-theories of intelligence in which increased ability is assumed to follows from increased effort; see Dweck, 2013], but also indicate a greater preference for the student a study partner [Lord et al., 1990].
Moderating Teacher Variables
With respect to teacher characteristics found to moderate relations between their causal attributions for student achievement and classroom outcomes, findings suggest that teachers with greater teaching experience may be more likely than novice teachers to believe students’ successes or failures to be due to external, uncontrollable factors such as family background or socio-economic status [e.g., parental income, education; Georgiou, 2008]. These teachers reported a stronger belief in student achievement as due to uncontrollable factors that are also stable over time, such as biological predispositions [e.g., innate intelligence], thereby de-emphasizing the teachers’ role in, and responsibility for, student achievement relative to novice teachers. In contrast, novice teachers tended to perceive themselves as having a greater impact on their students’ performance and reported stronger beliefs than more experienced teachers in the role of student effort and diligence in student success [Georgiou, 2008]. However, contradictory findings were reported by Pirrone [2012] who found although teachers with over 30 years of experience did report a stronger tendency to attribute student failure to student immaturity [internal, uncontrollable], teachers with under 10 years of experience were instead more likely to blame parents or family for student failure [external attributions].
Differences in attributional patterns have also been observed for teachers based on their level of education, with findings showing teachers with university degrees to have a stronger tendency to attribute student failure to factors internal to and controllable by the student, such as lack of interest or motivation to learn, than teachers with a high school degree [Pirrone, 2012]. Mixed results have also been reported concerning teachers’ level of instruction as a moderating factor. In early work by Guskey [1982], teachers who taught higher grade levels reported a stronger tendency to attribute student failure to task difficulty, with teachers of lower grade levels instead being more likely to attribute student failure to teachers’ own teaching ability and effort. In contrast, early findings from Hall et al. [1989] showed elementary and junior-high teachers to be more likely than senior-high teachers to attribute student failure both to causes internal to students [e.g., effort, ability, concentration, habits] or to external factors [e.g., task difficulty, home life]. More recently, although findings do suggest that junior-high teachers may perceive themselves as more responsible than senior-high teachers when student failures are attributed to lack of student ability, the degree of perceived personal responsibility reported by both types of teachers was still significantly lower than that attributed to students [Matteucci and Gosling, 2004].
Existing research further indicates that teachers’ causal attributions may differ as a function of learning disabilities instruction. For example, Woolfson et al. [2007] found teachers of learning-challenged students at specialized institutions to perceive their students as having more personal control over their academic performance than teachers at mainstream schools who instead tended to make more uncontrollable, stable attributions for student difficulties. Results with British teachers showed teachers with more special education experience to also make more student-external attributions for learning difficulties [e.g., bad luck; Brady and Woolfson, 2008], with another study conducted with teachers in Greece further showing mainstream teachers to be more likely than special education teachers to attribute student failure to student persistent low effort [internal, stable; Vlachou et al., 2014]. Finally, studies have examined cultural differences in teachers’ causal attributions, with scattered results suggesting that United States teachers make more effort-related attributions for student performance than German teachers [Kurtz et al., 1990], and that teachers in France perceive themselves as more responsible for student failure than their Italian counterparts [Matteucci and Gosling, 2004].
Moderating Student Variables
The impact of student gender on teacher attributions has consistently been explored in prior research [see Reyna, 2000 for a review]. In addition to teachers tending to perceive boys as having higher math ability and girls as more capable with language topics [Georgiou, 2008], teachers additionally tend to attribute girls’ math success to effort and boys’ math success to ability [Fennema et al., 1990; Espinoza et al., 2014]. Conversely, findings suggest that teachers are also more likely to attribute poor math performance for females to lack of ability, and for males to lack of effort. Although interventions to counter teachers’ attributional gender biases do show benefits, observed gains tend to be temporary with findings showing biased attributions reported by teachers to return to baseline levels within a year [Espinoza et al., 2014].
Studies also show teachers’ attributions to be influenced by student ethnicity [see Reyna, 2000, 2008 for reviews concerning teacher stereotypes concerning minority students]. Specifically, a Netherlands study found teachers to be more likely to attribute satisfactory academic performance to effort for ethnic minority student [vs. ethnic majority students; Wissink and de Haan, 2013], with Canadian research further showing teachers to place greater emphasis on external factors [i.e., family background, socio-economic status] when evaluating the performance of aboriginal students [vs. non-aboriginal student; Riley and Ungerleider, 2012]. Studies with United States teachers similarly show teachers to make fewer personally controllable and more external attributions for the performance of African-American students [e.g., family, social environment; Wiley and Eskilson, 1978], with the performance of Caucasian students being more often attributed to student ability, effort, and other personal characteristics [Wiley and Eskilson, 1978; Tom and Cooper, 1986].
Finally, findings indicate that teachers’ attributions for student achievement are likely to differ depending on student learning disabilities [Conway, 1989; Vlachou et al., 2014]. Results suggest that for students with learning difficulties, teachers are likely to attribute poor performance more to factors internal to the student, especially to limited ability, followed by low student effort or motivation [Vlachou et al., 2014]. In contrast, teachers are less likely to attribute poor performance among students with learning disabilities to teaching methods [e.g., classroom management, curriculum] or student-external factors [e.g., family background] as compared to mainstream students [Conway, 1989]. Conversely, findings show teachers tend to attribute academic success for learning-challenged students to low task difficulty or high student effort [Algozzine and Stoller, 1981].
Attributional Disagreement
As implied by the preceding findings, it is possible for teachers and students to differ on not only if an achievement outcome is interpreted as a success or failure, but also on the appropriate causal attribution for a given outcome. Studies suggest that teachers are indeed less certain than students when evaluating if a student’s performance constitutes a failure outcome [Juvonen, 1988], with both students and their parents tending to hold higher performance expectations than their teachers [Bar-Tal and Guttmann, 1981]. For example, Juvonen [1988] found teachers’ and students’ attributions for math performance to differ in one third of cases [i.e., 28 of 84] with teachers attributing perceived failures to factors that persisted over time, such as low ability and laziness, and students instead being more inclined to make unstable failure attributions, such as fatigue or sloppiness. Similarly, interviews by Klassen and Lynch [2007] with students with learning disabilities and their teachers showed whereas students predominantly attributed their academic failures to unstable and controllable factors [i.e., lack of effort], most of the teachers interviewed attributed students’ failure to internal, uncontrollable, and stable factors [i.e., lack of ability]. Concerning student success, findings from Juvonen [1988] again showed disagreement between the attributions reported by students and teachers, with teachers demonstrating a stronger tendency to attribute students’ success to stable factors, such as interest in math, and students instead reporting more attributions to unstable or external factors, such test-taking mood or support from parents.
Interpersonal Attributions: Student Misbehavior
Attribution Prevalence
In addition to research examining teachers’ causal attributions for student achievement, studies have further explored how teachers attribute students’ behavior in class, particularly with respect to perceived misbehavior. Early work by Medway [1979] comparing teachers’ attributions for students’ learning difficulties [e.g., reading, understanding] and behavioral challenges [e.g., aggression, withdrawal] found that teachers primarily attributed learning problems to ability-related factors, while attributing behavioral problems to peer and parental factors [see also Arcia et al., 2000]. Findings have additionally shown that whereas severity of student learning difficulties was positively correlated with teachers’ attributions to student ability [e.g., intelligence], severity of student behavioral problems instead corresponded to more personality attributions [Medway, 1979]. Other studies have similarly revealed that whereas ability and effort tend to be the most commonly cited reasons for student learning problems, personality and parental factors are more often endorsed as reasons for behavioral difficulties [e.g., Medway, 1979; Hughes et al., 1993; Savina et al., 2014].
Despite these differences, findings concerning teachers’ attributional tendencies for student misbehavior are largely similar to those observed regarding attributions for low achievement. When faced with student behavioral problems [e.g., disobedience, disruption, aggression; mild, moderate, severe], teachers’ attributions tend to not implicate themselves [e.g., instructional method, curriculum, teacher attitudes, discipline] or administrative factors [e.g., teaching demands, class size] but instead consistently cite factors internal to the student [e.g., ability, effort, personality, social/physical skills] and parental variables [e.g., dysfunction, attitudes, interest; Vernberg and Medway, 1981; Christenson et al., 1983; Miller, 1995; Bibou-Nakou et al., 2000; Mavropoulou and Padeliadu, 2002; Ho, 2004; Kulinna, 2007; McAuliffe et al., 2009; Andreou and Rapti, 2010; Ding et al., 2010; Kauppi and Porhola, 2012; Savina et al., 2014]. For example, whereas more than half of the teachers in Ding et al.’s [2010] study attributed students’ misbehaviors to students’ lack of effort, with substantial proportions citing various other factors internal to students [e.g., laziness: 32%, study habits: 23%, low interest: 20%], only 0.8% of teachers attributed students’ behavioral difficulties to their own instructional effectiveness or classroom management skills.
Similarly, Kleftaras and Didaskalou [2006] found teachers to primarily attribute student behavioral and emotional problems to family issues [74%] or student-related factors [17%; e.g., biological or psychological deficits], with only 6% of teachers reporting school context or teaching practices as important contributors. A study by Savina et al. [2014] that specifically examined teachers’ attributions for students’ externalizing behaviors [e.g., disruption, aggression] also showed problematic parental and peer relationships to be most often cited by teachers as critical determinants of students’ overt classroom misbehavior. However, although teachers have consistently been found to perceive the causes of student misbehavior as beyond their personal control and scope of responsibility [e.g., Bibou-Nakou et al., 2000; for atypical contradictory results, see Poulou and Norwich, 2000], research by Hughes et al. [1993] suggests that teachers may nonetheless perceive themselves as responsible for the success of their subsequent in-class behavior management efforts. Additionally, whereas parental factors are often cited by teachers as responsible for students’ classroom misbehavior [e.g., Soodak and Podell, 1994], other research suggests that teachers do not necessarily perceive parents as helpful for managing student behavior [Miller, 1995; also see Wiley et al., 2012 for a review on parents’ and teachers’ attributions concerning misbehaviors].
Relations With Teacher and Student Outcomes
Findings suggest that when teachers attribute student aggression to factors that are internal to students and stable over time, they also tend to report more maladaptive teaching behaviors [e.g., expressing anger, sarcasm] that, in turn, lead to greater peer dislike of the student [McAuliffe et al., 2009]. Additionally, when teachers believed that students’ behavioral problems as due to student intelligence or other factors perceived as beyond the teachers’ own control, they also reported a stronger tendency to seek professional consultation or special education services [Soodak and Podell, 1994]. Concerning teachers’ attributions for student disruptive behavior to factors external to themselves [e.g., students’ family-related issues, student internal factors], findings suggest that such attributions may reflect lower levels of teacher motivation [i.e., self-efficacy] in dealing with behavioral difficulties as well as greater efforts to seek out parental assistance [Soodak and Podell, 1994]. Conversely, teachers who attribute student misbehavior to teaching- or class-related reasons have been found to report not only greater sympathy for and confidence in students with emotional and behavioral difficulties but also a greater willingness to improve their teaching strategies [Soodak and Podell, 1994] as well as to personally intervene and provide assistance [Hughes et al., 1993; Poulou and Norwich, 2000]. Research further suggests that whereas teachers’ attributions for student misbehavior to factors internal to students tend to have mixed relations with teacher burnout indices [i.e., higher levels of both personal accomplishment and emotional exhaustion], attributions to contextual factors [e.g., classroom environment] are associated with lower teacher burnout [i.e., lower depersonalization; Bibou-Nakou et al., 1999].
Moderating Variables
Similar to research on teachers’ attributions for student performance, findings indicate that greater teaching experience tends to correspond with a greater likelihood of teachers perceiving students and family-related factors as more important contributors to students’ behavioral problems than school- or teacher-related issues [Mavropoulou and Padeliadu, 2002]. However, other research more specifically suggests that older teachers [>47 years] as well as younger teachers [