Research figure: Albert Bandura · Written by Artificial Sapiens
Albert Bandura's collective efficacy is the shared belief that people acting together can organize and execute the actions necessary to achieve specified goals. Within his social cognitive theory, this belief helps explain why a group commits to demanding objectives, coordinates its members' contributions, perseveres when difficulties arise, and sometimes accomplishes outcomes unavailable to its members acting separately. The critical object of the belief is the group's joint capability to act, rather than the average confidence of its members about working alone. Bandura placed collective efficacy within a broader account of human agency, where personal, proxy, and collective modes of influence operate through social systems (Bandura, 2000; Bandura, 2001).
Scientific research supports an association between perceived collective efficacy and group performance in numerous organizational, educational, and sport contexts. Meta-analyses indicate that the relationship varies with the nature of teamwork, assessment procedures, and the level at which beliefs and outcomes are measured. Evidence for an association is stronger than evidence for a universal one-way causal effect. Group success itself can change subsequent beliefs, and better-resourced or better-coordinated groups may both report higher efficacy and perform better (Gully et al., 2002; Stajkovic et al., 2009).
Definition and Place in Bandura's Social Cognitive Theory
For Bandura, perceived collective efficacy concerns a group's belief in its conjoint capabilities to organize and execute courses of action required to produce given levels of attainment. This is a judgment about what a collectivity can accomplish under identifiable conditions. A faculty may believe that its teachers, leaders, and support staff can jointly improve students' reading outcomes; a clinical team may judge that it can coordinate complex care; a neighborhood association may expect that sustained joint effort can change a local problem. Each belief concerns collective capacity directed toward a task. It makes no claim that cooperation always works or that optimistic expectations substitute for resources, skills, or authority.
The unit of agency in collective efficacy is a social system whose members' actions depend on one another. In a tightly coupled surgical team, one person's timing and communication affect another's work. In a school, teachers can exchange practices and expectations across classrooms. In a civic campaign, participants may distribute planning, persuasion, logistics, and institutional negotiation. The group's capacity is realized through the pattern of coordination, not by adding individuals' isolated skills. Bandura argued that shared judgments about this capacity shape aspirations, effort, staying power, and responses to setbacks (Bandura, 1997; Bandura, 2000).
Collective efficacy remains a belief, even when it is grounded in accurate knowledge of performance. A group's actual competence includes skills, resources, leadership, procedures, structural constraints, and achieved coordination. A group can underestimate a substantial capability, correctly appraise serious obstacles, or display inflated confidence. An adequate empirical study therefore measures perceived capability and objective or independently assessed performance separately.
From personal efficacy to coordinated agency
Bandura's 1977 account of self-efficacy examined perceived personal capability as a determinant of choice, effort, and persistence. His subsequent social cognitive framework situated these processes within reciprocal relationships among personal factors, behavior, and environment. Collective efficacy extends the theory to tasks requiring mutually dependent action. It becomes especially consequential where outcomes depend on combinations of roles, repeated exchanges, common goals, and the management of disagreement. A roomful of individually confident specialists does not automatically constitute an efficacious team.
Bandura's 1997 book, Self-Efficacy: The Exercise of Control, devoted its final chapter to collective efficacy and addressed its assessment, political action, media influence, and social change. His 2000 paper, Exercise of Human Agency Through Collective Efficacy, offered a concentrated theoretical statement of the construct. His 2001 review placed collective action among distinct ways people exercise agency. These are Bandura's formulations; later operational measures and domain-specific findings belong to the researchers who developed and tested them (Bandura, 1997; Bandura, 2000; Bandura, 2001).
Personal, Proxy, and Collective Agency
Bandura analyzed agency as the capacity to influence functioning and circumstances through intentional action. Personal agency operates when individuals act directly to produce effects. Proxy agency operates when individuals seek desired outcomes by enlisting other agents who possess relevant expertise, authority, or resources. Collective agency operates when people pool knowledge, effort, skills, and influence through interdependent activity. A citizen may independently learn an issue, ask an elected representative to act, and join neighbors in a coordinated campaign. These modes can coexist during one project (Bandura, 2001).
Proxy agency deserves careful treatment because it is sometimes incorrectly used as a synonym for collective efficacy. Delegating responsibility to a specialist involves judgments about that specialist's competence and responsiveness. Collective efficacy concerns the coordinated capacity of the group as a group. A team might have strong collective efficacy and still rely on a designated expert for a task; its efficacy depends partly on choosing when and how that delegation fits the larger joint enterprise. High trust in a powerful leader alone does not establish shared efficacy among everyone expected to participate.
These modes also illuminate asymmetries of power. People can recognize their potential for coordinated influence yet lack access to institutions that control a desired outcome. Conversely, an authority may speak of collective capability while denying members meaningful participation in decisions. A careful account distinguishes belief, opportunity, delegated influence, and actual control.
The Group-Level Mechanism: How Shared Beliefs May Affect Action
Bandura proposed that efficacy beliefs influence behavior through motivational, cognitive, affective, and selection processes. In collective settings, the corresponding mechanisms concern goals, planning, mutual expectations, coordination, and decisions about whether to persist with an undertaking. The central causal proposition is that beliefs about conjoint capability influence what groups attempt and how they organize the attempt. Individual confidence, knowledge exchange, task requirements, and institutional conditions enter the same process.
Shared goals and motivational commitment
Groups that regard an objective as attainable through joint work may adopt more challenging goals, devote greater effort, and persist through initial failure. This proposition is most plausible when the goal is understood, the members see their contributions as meaningful, and feedback provides a basis for revising strategy. Strong rhetoric about teamwork cannot by itself create the skills or time required for a difficult undertaking. Effective goal commitment also requires agreement on priorities and a means of allocating effort.
Coordination, shared representations, and learning
A collective task requires members to develop compatible expectations about who does what, what counts as progress, and how to correct errors. Efficacy beliefs can support the willingness to communicate difficulties and continue investing in coordination. Yet the direction of influence can run both ways: successful collaboration creates credible evidence that the group can organize itself. Observing improved routines may strengthen efficacy more reliably than merely affirming that a team is excellent. This reciprocal explanation is consistent with social cognitive theory and with evidence that efficacy-performance relationships differ by task interdependence (Gully et al., 2002).
Resilience and feedback after setbacks
A group interpreting a setback as a tractable coordination problem may revise its plan rather than abandon its mission. Shared confidence can facilitate a search for alternative strategies, especially when members are willing to compare expectations with results. Poorly calibrated confidence may also sustain an unworkable course of action. The adaptive question is whether efficacy judgments respond to reliable information about present capability, emerging constraints, and revised goals.
Contextual boundaries
Group beliefs operate within actual conditions. Staffing levels, workload, hierarchy, resources, safety, political freedom, task complexity, and external shocks may enable or prevent performance. A strong empirical design therefore examines the environment and the group process together. Collective efficacy should never be invoked to explain structural deprivation away or to assign collective blame to people whose opportunities are systematically constrained.
Collective Efficacy Is Not Group Potency, Cohesion, or Simple Optimism
Collective efficacy is task- and context-relevant: the group believes it can execute the actions required for a specified result. Group potency refers to a more generalized belief that the group can be effective across tasks. Group cohesion concerns the bonds, attraction, or commitment that hold members together. Trust concerns expectations about the reliability and intentions of other people. Psychological safety concerns the interpersonal conditions for speaking up. These concepts may reinforce one another and should remain separate in theory and measurement.
A cohesive committee may enjoy working together while lacking the expertise required to complete its assignment. A highly skilled but newly assembled emergency team may possess significant collective capacity despite limited social familiarity. A group can be optimistic about a broad future without knowing whether it can complete a specific action sequence. Operational definitions matter because surveys that mix affection, satisfaction, morale, and efficacy are difficult to interpret.
A meta-analysis by Stajkovic, Lee, and Nyberg examined 96 studies, 6,128 groups, and 31,019 individuals. The meta-analytic collective efficacy–performance association was approximately .35, while group potency–performance was approximately .29; potency and collective efficacy were also strongly associated. These estimates refer to different measured constructs and pooled research designs, not interchangeable proof of a single mechanism (Stajkovic et al., 2009).
Measuring Collective Efficacy: The Level of Analysis Problem
Measurement is the decisive methodological challenge. A researcher may ask each member whether they personally feel capable; ask each member to rate the group's capability; convene a group discussion to produce a joint judgment; or observe performance and infer competence. Only the second and third approaches directly ask about group efficacy, and even they differ in what they measure. Observed performance is an outcome or capability indicator, not a belief report.
Referent and task specificity
Items should name the collective referent and a specified class of action. For example, 'How confident are you that the teaching staff at this school can jointly identify and support students who are falling behind?' refers to a shared task. 'I am a highly effective teacher' measures personal efficacy. 'Our school is a wonderful place' measures evaluation or satisfaction. 'We always succeed' is too global and may blur outcome expectancy with capability. Examples illustrate item design rather than constitute a validated published scale.
Task difficulty, available resources, timeframe, and population should be specified where they materially change the judgment. Efficacy concerning routine classroom coordination may differ from confidence in responding to a sudden crisis. Bandura's methodological guidance emphasizes domain-relevant capabilities over generic personality-like statements (Bandura, 2006).
Aggregating individual reports
A group-referent questionnaire can be administered to individuals and statistically aggregated to estimate a shared group belief. Researchers must examine whether members' judgments are sufficiently convergent and whether meaningful differences exist between groups. Within-group agreement, intraclass correlations, reliability of group means, response rates, group size, and representativeness affect interpretation. Computing an average without checking these properties can disguise disagreement between roles, subgroups, or hierarchical levels.
Aggregation and collective discussion also carry different processes. A negotiated group response can capture shared deliberation but may be affected by dominance, conformity, or reluctance to contradict leaders. Independent reports can reveal disagreement yet may be contaminated by individual experience or private mood. Stajkovic and colleagues observed that correlations with performance differed across assessment procedures; their meta-analysis also identified task interdependence as a moderator among aggregation-based studies (Stajkovic et al., 2009).
Group-level versus individual-level inference
Suppose teachers in successful schools tend to report that their schools are effective. The association may reflect between-school differences, individual perceptions within schools, or both. A person-level correlation cannot automatically support a group-level explanation, and comparisons of school means cannot by themselves establish how a particular teacher responds to changes in group belief. Multilevel models, sufficient numbers of groups, longitudinal observations, and carefully defined outcome measures are needed to distinguish these interpretations. A 2025 teacher-efficacy review found that only ten of the 49 included studies used appropriate multilevel modeling, underscoring the importance of this issue (Sahli Lozano et al., 2025).
Original Theory and Experimental Status
Bandura's collective efficacy is chiefly a theoretical extension of his research program on human agency, supported by empirical literatures that developed in teams, schools, sports, organizations, and communities. It was not a single laboratory experiment parallel to his 1961 observational-learning work with Dorothea Ross and Sheila A. Ross. The collective-efficacy literature includes naturalistic field studies, surveys, multilevel models, intervention research, and meta-analyses of correlations. Studies differ in sampling, constructs, timing, and control of competing explanations.
The chronology matters. The 1977 self-efficacy article developed a personal capability framework; the 1997 book assembled individual and collective applications; the 2000 article articulated the collective agency perspective; and subsequent researchers developed scales and domain-specific models. The historical fact that Bandura proposed a mechanism and the empirical conclusion that a given manipulation changes a group outcome are distinct propositions requiring different kinds of evidence (Bandura, 1977; Bandura, 1997; Bandura, 2000).
Team Performance: What Meta-Analyses Actually Show
A meta-analysis by Gully, Incalcaterra, Joshi, and Beaubien examined 67 empirical studies and 256 effect sizes involving team efficacy, group potency, and performance. Associations were stronger at the team level than when analyzed at an individual level. At the team level, the estimated correlation between team efficacy and performance was approximately .41. The efficacy-performance association was stronger with high task interdependence, approximately .45, than with low interdependence, approximately .34. These results are compatible with the proposal that shared capability beliefs matter especially for genuinely cooperative tasks; they do not demonstrate that raising beliefs alone will reliably cause the same-sized performance improvement (Gully et al., 2002).
Stajkovic, Lee, and Nyberg pooled 96 studies and reported a collective efficacy–performance association of .35. They found variation by method of efficacy assessment and by task interdependence. Their nested analysis suggested why studies that use nominally similar labels can produce different effect estimates. Differences in tasks and measurement are part of the substantive theory, not just statistical inconvenience (Stajkovic et al., 2009).
These meta-analyses provide established evidence of positive average associations in the studied domains. They also contain substantial heterogeneity, studies with differing research designs, and possible reverse causation. Effects cannot be treated as a single universal coefficient covering every team, organization, community, or political setting. Experimental studies with repeated measures and credible control conditions remain the clearest route to stronger causal claims.
Collective Teacher Efficacy and Educational Outcomes
Education offers one of the most developed applications of the construct. Collective teacher efficacy refers to a faculty's shared judgment that, through coordinated teaching and school practices, it can positively influence student learning. This is distinct from an individual teacher's confidence in teaching particular students. School-level collective efficacy is plausibly related to a climate of collaboration, common instructional expectations, feedback practices, and sustained improvement efforts.
Goddard, Hoy, and Woolfolk Hoy (2000) developed and tested a measure of collective teacher efficacy and reported positive associations with reading and mathematics achievement across urban elementary schools in one Midwestern district. This original study helped establish a practical school-level operationalization. Its observational design, regional sample, and school-context variables limit causal and population-wide generalization. Their later 2004 synthesis developed the theoretical connections between faculty judgments, professional decisions, and achievement (Goddard et al., 2000; Goddard et al., 2004).
Salas-Rodríguez and Lara's systematic review, published in 2023, analyzed 18 studies after applying inclusion and quality criteria to a larger search. It identified the importance of leadership, trust, professional development, and collaboration while recognizing the small number of rigorously eligible studies and the restricted primary-school scope. The review supports scientific interest in collective efficacy but does not license a simple claim that staff confidence mechanically improves standardized scores (Salas-Rodríguez and Lara, 2023).
A more recent systematic review and meta-analysis by Sahli Lozano, Wicki, Wüthrich, and Setz synthesized 49 studies published between 1999 and 2024 on collective teacher efficacy and occupational outcomes. It found favorable associations with dimensions of well-being, job satisfaction, burnout, and distress. Crucially, only ten included studies employed appropriate multilevel analyses despite the group-level definition of the construct, and the authors emphasized scarce longitudinal work. The strongest scientific conclusion is that faculty efficacy beliefs are associated with relevant educational-workplace outcomes in the sampled literature; the direction, mechanisms, and size of causal effects remain dependent on better study designs (Sahli Lozano et al., 2025).
Sport Teams, Organizations, and Interdependence
Bandura's book discussed collective team efficacy in athletic functioning and collective organizational efficacy in work settings. Sporting teams provide salient examples because objectives are shared and performance is repeatedly observable, but sports also present measurement challenges: an athlete's evaluation of the whole team may be heavily shaped by the most recent win or loss. Teams may experience fluctuations in efficacy as opponents, lineups, and demands change. Researchers must distinguish belief preceding performance from retrospective judgments following success (Bandura, 1997).
Work organizations vary sharply in task interdependence. A sales department whose members operate independently differs from a flight crew where errors propagate across roles. This is one reason why correlations found in team meta-analyses should be interpreted conditional on coordination demands. Group efficacy may influence persistence, proactive behavior, and allocation of effort, while leadership, skills, prior achievement, and resources may influence both the efficacy report and final performance. The group-level research program benefits from measuring these variables separately rather than renaming overall organizational culture as collective efficacy (Gully et al., 2002; Stajkovic et al., 2009).
Communities, Neighborhoods, and Collective Action
Collective efficacy appears prominently in sociology and community research, but its operational meaning must be attributed precisely. In their 1997 Science study, Robert J. Sampson, Stephen W. Raudenbush, and Felton Earls defined neighborhood collective efficacy using social cohesion among neighbors combined with willingness to intervene for the common good. Their analysis drew on a survey of 8,782 residents in 343 Chicago neighborhoods and reported an inverse association with variation in violence after statistical adjustment for multiple characteristics, including previous violence. This is a landmark empirical development in neighborhood criminology; the precise operational definition and Chicago findings are those of Sampson and his coauthors, not an experiment conducted by Bandura (Sampson et al., 1997).
Bandura's group-capability formulation and the Sampson neighborhood construct share an interest in coordinated influence but ask partly different questions. Bandura emphasizes beliefs in conjoint capability to organize action toward attainments. Sampson and colleagues operationalized local social cohesion and expected informal social control in relation to neighborhood violence. A neighborhood could report cordial relations without sufficient willingness to intervene; likewise, a mobilized community might be capable of achieving a specific civic objective while facing structural obstacles to reducing crime.
A rigorous study should identify which conception it measures. Labeling every community trust survey 'Bandura's collective efficacy' conflates authorship and levels of analysis. It can also invite unrealistic expectations about crime prevention in communities facing severe inequality, weak public services, or coercive institutions. Observational associations with neighborhood violence cannot alone prove that an intervention increasing questionnaire scores will reduce crime rates.
Civic and political applications
Bandura discussed collective efficacy in relation to political efficacy, mass communication, and sociocultural change. Collective action often depends on whether people believe coordination can influence decisions and whether they have channels to participate. Such beliefs can affect mobilization, but actual political effectiveness also depends on institutional openness, organization, leadership, opposition, and the distribution of power. The framework helps formulate hypotheses about participation and persistence; particular political outcomes require context-specific evidence (Bandura, 1997; Bandura, 2000).
Sources and Development of Collective Efficacy Beliefs
Bandura's self-efficacy work highlighted enactive mastery, vicarious experience, verbal persuasion, and physiological or affective information as influences on personal efficacy beliefs. The corresponding pathways can be examined in groups when interpreted as group-relevant evidence: shared successes and failures, observation of comparable teams, credible feedback from trusted members or leaders, and collectively interpreted stress or readiness. This is a theoretically reasoned application of Bandura's broader efficacy framework, not a claim that every group study independently validated four universal causal sources (Bandura, 1977; Bandura, 2006).
Successful joint activity provides concrete evidence that coordination is feasible. Reflecting on why success occurred helps prevent an accidental favorable outcome from being mistaken for durable capability. Comparing a group with a genuinely comparable team can illuminate possibilities, while differences in resources and conditions should be recognized. Supportive communication is useful when it offers actionable evidence and specific means of improvement. Positive slogans without corresponding task knowledge and opportunity may inflate reported confidence while leaving performance unchanged.
Collective efficacy can also develop unevenly. Senior members, newcomers, and people carrying unequal burdens may hold different beliefs about what the group can achieve. Disagreement may reveal a problem in information sharing rather than a deficiency in morale. Researchers should examine who participates in defining goals, whose assessment is represented, and whether apparent consensus reflects agreement or pressure.
Reciprocal Causation and the Challenge of Causal Inference
Bandura's social cognitive theory describes reciprocal influence between behavior, personal factors, and the environment. Applied to groups, perceived capability may affect group action, actual group outcomes may alter efficacy judgments, and contextual conditions may shape both. This means a contemporaneous correlation between efficacy and success cannot identify a unique causal sequence. Prior success may cause high efficacy; efficacy may help produce later success; shared leadership or resource quality may produce both; and feedback loops may sustain the relationship.
Longitudinal designs should measure perceived collective efficacy before the relevant outcome and adjust for prior performance without mechanically controlling away genuine mediators. Cross-lagged analyses, multilevel repeated-measures designs, and credible natural experiments may improve interpretation, though each brings modeling assumptions. Randomized interventions that manipulate an identifiable source of credible collective capability, compare alternatives, and record objectively relevant outcomes would provide stronger tests than a simple pre-post morale survey. Researchers also need to account for interference: one group's intervention can influence neighboring groups through staff movement, competition, or resource sharing.
Measurement invariance matters when comparing efficacy reports across schools, industries, cultures, or languages. A numerical difference can reflect response habits or divergent conceptions of teamwork rather than actual differences in the targeted belief. Researchers should test whether items refer to functionally comparable tasks, whether the unit of aggregation is justified, and whether outcome assessors are independent of respondents.
Evidence Assessment: Established, Preliminary, Limited, and Contested
Established: Bandura explicitly developed collective efficacy as a component of social cognitive theory and collective human agency. Meta-analyses across teams report a positive average association between collective efficacy beliefs and group performance, with stronger associations in some higher-interdependence settings. These statements rest on identifiable primary publications and quantitative syntheses (Bandura, 2000; Gully et al., 2002; Stajkovic et al., 2009).
Preliminary: Specific ways of strengthening collective efficacy through feedback, leadership, coaching, and organizational change may improve some outcomes in some settings. Effectiveness should be judged by intervention-specific designs and objective or appropriately assessed endpoints, not inferred automatically from associations.
Limited: The generalizability of pooled estimates across kinds of tasks, cultures, group sizes, and institutional arrangements is restricted by heterogeneity and measurement differences. Some educational studies rely on person-level data to support claims about an intrinsically collective construct, and longitudinal research remains comparatively thin (Sahli Lozano et al., 2025).
Contested: Whether collective efficacy has an independent causal effect of a consistent magnitude once previous success, capabilities, leadership, resources, and reciprocal feedback are modeled remains an empirical question. Moreover, different literatures use collective efficacy to name related but nonidentical constructs, particularly the task-capability formulation and the neighborhood social-cohesion plus intervention formulation. The differences matter for theory testing and public applications.
Practical Interpretation: Building Capacity and Calibrated Belief
For a school, team, or organization, the responsible application begins with defining a specific collective task. Members should know the result sought, the roles and skills it requires, the resources available, the obstacles that must be addressed, and the feedback that can indicate progress. They can then practice coordination, review completed work, strengthen weak interfaces between roles, and reassess what the group is presently capable of accomplishing.
A useful approach is to record both a capability judgment and a behavioral indicator before a project, followed by progress measures during implementation. In a school, this might involve faculty beliefs about coordinated literacy instruction and separate records of agreed instructional practices and student learning. In a health service, it might involve the team's perceived capacity to coordinate an evidence-based workflow and objective process indicators. Such examples are methodological illustrations, not validated interventions or claims about improved clinical outcomes.
Where groups lack time, equipment, representation, or decision-making authority, effective action also requires changes in conditions. Bandura's emphasis on agency becomes more analytically useful when beliefs are studied alongside opportunities to act. Ethical practice favors accurate feedback, meaningful participation, and realistic access to the tools of collective accomplishment.
Frequently Asked Questions
What did Albert Bandura mean by collective efficacy?
He meant shared beliefs in a group's conjoint capability to organize and execute actions needed for specified attainments. The construct concerns perceived collective capacity, especially on tasks requiring coordinated effort (Bandura, 2000).
How does collective efficacy differ from self-efficacy?
Personal self-efficacy asks what an individual believes they can accomplish through their own actions. Collective efficacy asks what a group believes it can accomplish through coordinated action. Aggregating personal self-confidence does not necessarily produce a valid measure of shared group capability.
Is collective efficacy the same as teamwork or group cohesion?
Teamwork describes patterns of collaboration; cohesion describes bonds that keep members together; collective efficacy describes perceived capability to accomplish a task together. These may be related but are conceptually and operationally distinct.
Does collective efficacy cause better group performance?
Meta-analyses report positive average associations and moderation by task interdependence. Those pooled correlations do not establish a universal one-way causal effect. Prior performance, resources, coordination, and shared leadership can affect beliefs and outcomes together (Gully et al., 2002; Stajkovic et al., 2009).
What is collective teacher efficacy?
It is a faculty's shared judgment about its capacity to influence students' learning through coordinated instructional activity. It differs from individual teacher efficacy, and educational studies should distinguish school-level conclusions from teacher-level perceptions (Goddard et al., 2000).
Is Bandura's collective efficacy the same as neighborhood collective efficacy?
They are related traditions with different operational emphases. Bandura theorized shared group capability; Sampson, Raudenbush, and Earls defined neighborhood collective efficacy through social cohesion and willingness to intervene for the common good in studying violence (Sampson et al., 1997).
How should collective efficacy be measured?
Measure confidence in the group's ability to perform defined joint actions. Use group-referent questions, check within-group agreement and group-level reliability when aggregating individuals' responses, and assess actual performance separately. The validated scale must fit the population and task (Bandura, 2006; Stajkovic et al., 2009).
Historical Contribution and Scientific Legacy
The lasting contribution of Bandura's collective efficacy formulation is to place coordinated group action inside a psychological account of agency. It connects shared beliefs about capability to how social systems set aims, organize tasks, interpret setbacks, and sustain action. It also supplies a specific hypothesis that researchers can test: where attainable collective goals require genuine interdependence, warranted beliefs in conjoint capability may influence the effort and organization of performance. The existence, strength, and limits of that relationship must be established in each domain through credible designs.
This framework traveled beyond personality and learning theory into organizational psychology, education, sport, political action, and community scholarship. The resulting research program is intellectually productive precisely because its branches can be distinguished: Bandura's original theory, school-level applications developed by Goddard and colleagues, team-performance meta-analyses, and Sampson and colleagues' neighborhood formulation ask related but independently testable questions. Their findings should be interpreted with accurate attribution, calibrated uncertainty, and sustained attention to the group processes and structures in which collective agency operates.
Related Articles
Albert Bandura — The scholar's intellectual development, original research, social cognitive theory, and wider scientific influence.
Self-Efficacy: How Belief in Your Ability Shapes Action — The general personal-capability construct from which Bandura's group-level proposal developed.
Academic Self-Efficacy: Confidence, Effort, and Achievement — Individual academic efficacy and educational outcomes, distinct from a faculty's shared capability beliefs.
Social-Cognitive Personality Theory: Reciprocal Determinism and Behavior — The wider theoretical setting of reciprocity, expectations, and agency.
Learning Theories in Education: Behaviorism, Cognitivism, Constructivism, and Sociocultural Learning — Educational traditions and learning mechanisms that contextualize faculty collaboration.
Albert Bandura's Social Foundations of Thought and Action — The original 1986 monograph that presented social cognitive theory.
Albert Bandura's Social Cognitive Theory of Self-Regulation — Self-monitoring, evaluative judgment, and self-reactive processes.
References
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman. WorldCat bibliographic record
Bandura, A. (2000). Exercise of human agency through collective efficacy. Current Directions in Psychological Science, 9(3), 75–78. https://doi.org/10.1111/1467-8721.00064
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26. https://doi.org/10.1146/annurev.psych.52.1.1
Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares and T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Information Age Publishing. Publisher bibliographic record
Goddard, R. D., Hoy, W. K., and Woolfolk Hoy, A. (2000). Collective teacher efficacy: Its meaning, measure, and impact on student achievement. American Educational Research Journal, 37(2), 479–507. https://doi.org/10.3102/00028312037002479
Goddard, R. D., Hoy, W. K., and Woolfolk Hoy, A. (2004). Collective efficacy beliefs: Theoretical developments, empirical evidence, and future directions. Educational Researcher, 33(3), 3–13. https://doi.org/10.3102/0013189X033003003
Gully, S. M., Incalcaterra, K. A., Joshi, A., and Beaubien, J. M. (2002). A meta-analysis of team-efficacy, potency, and performance: Interdependence and level of analysis as moderators of observed relationships. Journal of Applied Psychology, 87(5), 819–832. https://doi.org/10.1037/0021-9010.87.5.819
Sahli Lozano, C., Wicki, M., Wüthrich, S., and Setz, F. (2025). A systematic review and meta-analysis of collective teacher efficacy's relationships with outcomes in the Job Demands-Resources model. Teaching and Teacher Education, 159, 105006. https://doi.org/10.1016/j.tate.2025.105006
Salas-Rodríguez, F., and Lara, S. (2023). Unpacking collective teacher efficacy in primary schools: Student achievement and professional development. Educational Research for Policy and Practice, 22, 193–214. https://doi.org/10.1007/s10671-022-09326-z
Sampson, R. J., Raudenbush, S. W., and Earls, F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, 277(5328), 918–924. https://doi.org/10.1126/science.277.5328.918
Stajkovic, A. D., Lee, D., and Nyberg, A. J. (2009). Collective efficacy, group potency, and group performance: Meta-analyses of their relationships, and test of a mediation model. Journal of Applied Psychology, 94(3), 814–828. https://doi.org/10.1037/a0015659