Home Do Nonprofit Responses to Social Movements Influence Public Perceptions and Willingness to Support? An Experimental Study
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Do Nonprofit Responses to Social Movements Influence Public Perceptions and Willingness to Support? An Experimental Study

  • Minjung Kim ORCID logo EMAIL logo , Allison R. Russell ORCID logo and Peter Frumkin
Published/Copyright: April 4, 2025
Nonprofit Policy Forum
From the journal Nonprofit Policy Forum

Abstract

In a politically charged climate, nonprofit organizations are increasingly pressed to take a stance on a variety of social issues. In line with their advocacy role, nonprofits may seek to mobilize their stakeholders in support of a particular cause, provided it is congruent with their mission. Given the range of options available to signal their support of causes, and the potential controversy associated with some of them, nonprofits must also consider the ways in which their actions in support of social movements may shape the public’s view of their organization. This study uses an online experiment to examine how public perceptions and support are shaped by a range of nonprofit responses to a social justice movement. It finds that while nonprofit actions do influence public perceptions and overall support for the organization’s actions, individuals’ willingness to support in the form of monetary donations and volunteering was not significantly affected. Implications for organizational decision-making and management are discussed.

1 Introduction

Civil society spaces have been regarded as inherently political (Alexander and Fernandez 2021). As part of civil society, nonprofit organizations engage in political acts in direct and indirect ways, often disrupting established social and economic systems through both instrumental and expressive functions (Frumkin 2002). Indirectly, instrumental functions like service delivery often encompass activities that support social change and influence policy implementation; directly, expressive functions like advocacy and public information campaigns organize and mobilize constituencies around particular issues and seek policy influence (Bies et al. 2013; Chin 2018). Given the ways in which not only direct advocacy and action but also service provision shape public policy, each function connects nonprofits to the policy process and can have real political implications (Faulk, Kim, and MacIndoe 2023; Fyall 2017).

One way in which nonprofits get involved politically is through participating in and responding to broader social movements. In the academic literature, civil society and social movements emerge as two distinct strands of literature, with civil society emphasizing the study of formal organizations, and social movements encompassing informal networks made up of individuals, groups, and organizations with varying degrees of formality (Della Porta 2020). However, increasingly, there is empirical and conceptual support for overlap between the two. Della Porta (2020) notes that the hybridization of these two spaces is accelerated during times of political, social, and financial crisis. This claim is echoed by Elsayed (2018), who notes that the advocacy and activism functions of civil society organizations emerge most strongly, perhaps at the expense of other functions, during times of unrest, as was the case with Egyptian civil society and the Arab Spring. As such, the blurring of boundaries between civil society and social movements and, subsequently, the interactions between them, becomes a more salient topic of study in times of instability and change.

Despite the often-political nature of civil society, nonprofit organizations must consider the implications of their responses to social movements in terms of their ability to attract and retain support from various stakeholders. Indeed, without the trust and support of the public, nonprofits may be unable to continue mission-driven work in their communities. Thus, the ways in which nonprofits’ engagement with social movements may influence public perceptions and support become a critical consideration for organizations weighing their options for action (Bell, Fryar, and Johnson 2021). For some nonprofits, this consideration may also challenge their ability to maintain the sometimes-difficult balance between living their values and continuing their day-to-day operations. Taking a stand on an issue may be appealing, but maintaining the support of donors and volunteers is critical to keeping the doors open and programs running.

While the literature has considered nonprofits’ political and advocacy roles, including a recent experimental study examining public perceptions of nonprofit involvement in the policy process (Bell, Fryar, and Johnson 2021), to our knowledge, no existing studies have considered the relationship between a nonprofit’s response to a social movement and the public’s perceptions of that organization. Given the uncertainty and upheaval precipitated by the COVID-19 pandemic and the widespread social unrest following the murder of George Floyd and other incidents of police use of excessive force against African Americans in the United States, nonprofits across various service domains and mission areas are facing greater pressure than ever to take a stance on social and political issues and take action in service of their various constituencies (Calderon, Chand, and Hawes 2021). A recent poll conducted by Independent Sector (2021) indicated that 87 percent of respondents felt that nonprofits should work to educate local decision makers about the needs of their communities, while 71 percent felt nonprofits should engage in nonpartisan voter support activities. In light of this current context, this study considers how nonprofit responses to a social movement focusing on racial justice and police use of excessive force influence public perceptions and willingness to support the organization. We hereafter use the term “social justice movement” to describe this context.

Using an online experimental design, we investigate the following research questions:

  1. Does a nonprofit organization’s response to a social justice movement influence individuals’ perceptions of the organization as socially responsible?

  2. Does its response influence individuals’ overall support for the organization?

  3. Does its response influence individuals’ willingness to donate money to or volunteer with the organization?

2 Literature Review

In this section we draw on three main strands of literature to frame our study and formulate our hypotheses. First, we review the literature on nonprofit advocacy and social movements, examining how the expressive function of nonprofits connects with their involvement in these activities. Second, we turn to the literature on the importance of public perceptions and support for nonprofit organizations. Third, we examine the linkages between advocacy-related actions and public perceptions and support. Because previous studies have not examined this linkage within the nonprofit context, we draw on literature from political science and other disciplines investigating public responses to various forms of political action, such as protests.

2.1 Nonprofit Advocacy and Social Movements

The nonprofit sector encompasses a diverse array of organizations in the United States and around the world. Early attempts to define and classify the nonprofit sector led to the creation of several typologies and classification systems, such as the NTEE classification of exempt entities created by the Urban Institute (Urban Institute 2019). One conceptual typology defines nonprofits according to two dimensions: supply-side driven versus demand-side driven and instrumental versus expressive (Frumkin 2002). The latter dimension deals with the primary function of the nonprofit in its day-to-day activities and operations. Instrumental nonprofits primarily provide services to individuals and groups, such as human service organizations like homeless shelters and food pantries. By contrast, expressive nonprofits primarily give their stakeholders opportunities to express and promote their values, beliefs, or identities; examples include religious congregations and associations serving particular ethnic groups. Expressive nonprofits also often advocate for issues that affect their stakeholders through education and outreach and involvement in the local, state, and federal policy process. Thus, a nonprofit whose primary mission and activities involve direct advocacy is also an example of an expressive nonprofit.

As Calderon and colleagues (2021) point out, “Today, it is accepted that advocacy, at least in some form, is a necessary function for the human service sector at-large” (p. 288). Thus, nonprofit organizations across this spectrum of functions and domains often challenge the status quo and push for systemic change, particularly during times of political and social unrest when public attention and support are high (e.g. Lamothe and Lavastida 2020). By engaging in or responding to social movements, nonprofits are seen to take a public stance on a particular issue, both affecting and affected by public policy (Bies et al. 2013). In this wider policy environment, nonprofits engaging primarily in instrumental functions tend to enjoy a favorable status as compared to nonprofits engaging primarily in expressive functions (Appe 2019). Moreover, the former is typically viewed as less politicized than the latter. However, advocacy can occur in both types and through both functions (Chin 2018). Nonprofit advocacy extends not only to their stakeholders but also to the causes relevant to them and their wider community (Alexander and Fernandez 2021), emerging as a “critical component” of the work of the sector as a whole (Guo and Saxton 2010).

Nonprofits frequently advocate for underrepresented client groups by amplifying their voices and promoting social justice (LeRoux 2014). Past research has shown that nonprofit organizations serving “specialized populations” are more likely to engage in advocacy (MacIndoe 2014, p. 309) and therefore may play a unique role in times of political and social unrest as they seek to represent their constituencies. For example, in a study of ethnic Korean nonprofits in Los Angeles in the aftermath of the 1992 Los Angeles riots, Chung (2005) highlights the importance of nonprofits’ political activism and solidarity-building as a means to mediate relationships both between the mainstream and the ethnic minority group and within members of the ethnic group. While these organizations may take different actions in service of their strategic objectives (e.g. indirectly through programmatic activities or directly through public protests), both approaches emerge as political in nature and in response to a period of extreme social unrest (Chung 2005). An earlier study by Coston, Cooper, and Sundeen (1993) examining the role of community organizations following the Los Angeles riots also confirms the importance of these localized nonprofits in mobilizing resources, connecting community members to needed services and assistance, and acting as mediators between individuals and other nonprofit and public agencies seeking to respond to crisis.

In terms of advocacy activities, community-based nonprofits in marginalized neighborhoods engage in both civic activities and social movements (Majic 2011). These actions include communicating with local or state governments on behalf of their clients, organizing campaigns, providing education, or supporting political protests (LeRoux 2014). These expressive forms of advocacy make issues more visible to society and call for immediate action by disrupting the status quo (Mosley 2011).

Although nonprofits advocate and mobilize their stakeholders around political and social issues, the 501(c)(3) status of public charities prevents them from engaging directly or “substantially” in some political activities, such as lobbying and campaigning for political candidates, with legal and practical ambiguity about the definition of “substantial” further inhibiting nonprofit involvement in these areas (Berry 2020). Nonprofits also face a perceptual barrier to direct and controversial political involvement in that they wish to avoid alienating potential donors who may hold opposing political views (Bell, Fryar, and Johnson 2021; LeRoux 2014). Moreover, Alexander and Fernandez (2021) contend that recent trends, such as professionalization and marketization of the sector, have compromised nonprofits’ ability “to perform essential political roles” (368) by rendering them more adverse to risk and controversy. Likewise, King and Griffin (2019) note that managerialism leads nonprofits to pursue seemingly apolitical instrumental objectives rather than political ones.

Despite these trends identified in the literature, recent and historical events point to nonprofits’ embeddedness at the intersection of social movements, policy processes, and crisis response, with their political role activated through both instrumental and expressive functions. In some cases, nonprofit organizations evolve from social movements, actively organizing and supporting advocacy activities by themselves as well as mobilizing others for political actions (Cress 1997). Examples include organizations for the homeless (Cress 1997) and feminist groups (Hyde 2000) that actively participate in political activities including protests to fight for their socially neglected client groups, as well as nonprofit coalitions resulting from broader social movements (Wiley 2022).

2.2 Public Perceptions of Nonprofit Organizations Engaging in Social Movements

Like any organization, nonprofits must be concerned with public perceptions of their work as a whole. With regard to nonprofit advocacy, a favorable image is critical in shaping public attitudes toward an issue or movement, while expectations about the public’s reaction – and any potential financial or political fallout – shape nonprofits’ decisions about how to respond (Bell, Fryar, and Johnson 2021; Lee 2021). Examining nonprofit involvement in the realm of climate change policy, Bies et al. (2013) investigate how nonprofits influence awareness, attitudes, beliefs, values, and knowledge of the public through their various activities. According to the authors, “In the modern world where instant communications, the internet, and an almost infinite array of communicating options are available, advocacy nonprofit institutions may be poised to be a significant cue giver to their members and others who trust them or their message” (Bies et al. 2013, 10). The authors find that the public’s perception of organizational legitimacy and trust is the most important factor in influencing their concern about the environment, their belief that their actions affected the environment, and their support for policies to mitigate climate change (Bies et al. 2013). Thus, nonprofits may be well-positioned to influence individuals’ beliefs, concerns, and behaviors, provided they are viewed as legitimate and trustworthy by the public. The degree to which the public perceives a nonprofit favorably and may therefore be willing to support both the cause in question and the nonprofit in particular will depend on the strategies (actions) employed by the organization. We explore this theme further in the sections below.

2.3 Public Perceptions of Political Protests and Support for the Organization

The literature on nonprofit advocacy is expansive, with several scholars outlining the various types of nonprofit advocacy, from direct lobbying to grassroots efforts (e.g. Guo and Saxton 2010; Riegel and Mumford 2022). However, there remains a gap in our understanding of how public perceptions of nonprofit organizations vary depending on the type of advocacy approaches utilized. In particular, we were unable to locate any existing studies of how nonprofits’ involvement in direct actions like protests shape public perceptions of that organization, and how these direct actions compare with other forms of advocacy.

At the individual level, protests are one of the major forms of political participation – a way for citizens to organize and influence their elected officials in addition to participation in institutional politics through voting or political campaigns (DiGrazia 2014). Attitudes and participation are often catalyzed by current events and shaped by social movements (Lamothe and Lavastida 2020). Over the past decades, protests have received growing scholarly attention, as we have witnessed low voting rates and decreasing levels of public confidence and trust in politics and governments (Ekman and Amnå 2012).

In the past, protests were believed to be organized mainly by marginalized groups of people, such as racial minorities and underserved communities, but the motivations for organizing protests have been broadened and come to be seen as a strategic action by a broad range of social groups (McVeigh and Smith 1999). Collective groups of protestors aim to achieve broader social and political change mainly by affecting public opinion (Louis 2009; Thomas and Louis 2014). Specifically, protests lead the public to perceive the current situation as illegitimate and unsatisfactory, which makes them want social change and sometimes motivates them to join in the protests (Leuprecht et al. 2010). Thus, it is important to understand how public perceptions are shaped by political protests and to consider successful strategies that shape positive and supportive perceptions of protests.

In general, the public is supportive of protests when they perceive social injustice, when they perceive the protests as effective in making actual changes, and when they identify themselves with the protesters (Van Zomeren, Postmes, and Spears 2008). Public opinion theorists argue that social movements led by minorities serve as a bottom-up stimulus that shifts how the public perceives contentious issues such as racism (Lee 2002). In particular, sudden, unpredictable, and highly visible events such as Black Lives Matter movement have an instant effect of politicizing public opinion toward issues such as racism and decrease favorability toward law enforcement (Reny and Newman 2021). In these situations, the public may be more supportive of protests organized to fight perceived injustices. Additionally, protest potential, or the willingness to engage in protests, is influenced by past participation, such that those who have participated in the past may be more willing to do so again in the future (Kwak 2022).

However, the public is not always supportive of protests. Extreme and violent forms of protest can cause negative public perceptions because the extremism and violence dilute individuals’ identification with the protestors and increase the perceived immorality of the movement (Feinberg, Willer, and Kovacheff 2020). When behaviors are viewed as violating basic social norms by causing harm to other people, individuals are likely to perceive those behaviors as immoral, leading to decreased levels of support (Schein and Gray 2018). If protests include blocking roads, damaging private or public property, or physically hurting others, individuals will begin to view the movement as immoral, and their potential positive emotional connection to the protesting group will be diminished (Feinberg, Willer, and Kovacheff 2020).

By contrast, scholars argue that peaceful and nonviolent protests are more effective than violent protests in cultivating widespread public appeal (Edwards and Arnon 2021). Peaceful protests such as sit-ins and strikes have lower thresholds for buy-in from bystanders since such protests cause fewer conflicts with authorities, and potential repression from authorities can create public sympathy for protesters (Chenoweth and Stephan 2011). Evidence also shows that nonviolent protests are more effective than violent protests in promoting public support of political movements and dealing with extremist groups (Jones and Libicki 2008; Stephan and Chenoweth 2008).

Because the extant literature indicates that public perceptions vary according to the type of action taken, we expect support for a nonprofit that engages in some action on the part of a social movement will depend on the specific action taken. We consider support as both overall support for the nonprofit’s actions in this specific situation and willingness to support the organization through donations of time (volunteering) and money. With regard to overall support for the nonprofit’s actions, we hypothesize the following:

H1A:

A nonprofit organization that signals its support of a social movement through the development of new programming will experience higher overall support than a nonprofit that takes no action.

H1B:

A nonprofit organization that takes direct action in support of a social movement through organizing and conducting a permitted protest will experience higher overall support than a nonprofit that takes no action.

H1C:

A nonprofit organization that takes direct action in support of a social movement through participation in extreme, unpermitted protests will experience lower overall support than a nonprofit that takes no action.

As charitable organizations, nonprofits rely on direct public support in the form of monetary donations and volunteering to continue their work. As the trend of giving declines despite overall nonprofit sector growth (Giving USA 2024), it has become even more competitive for nonprofit organizations to secure individual giving. Empirical findings also indicate that when individuals view nonprofits favorably, they are more willing to give and volunteer (Meijer 2009; Peng, Kim, and Deat 2019; Sarstedt and Schloderer 2010; Willems et al. 2017). Thus, whether and how nonprofits’ stance toward political protests affects direct public support is of critical importance for nonprofits. We hypothesize the following:

H2A:

Individuals will be more willing to donate to and volunteer with a nonprofit organization that signals its support of a social movement through the development of new programming than a nonprofit that takes no action.

H2B:

Individuals will be more willing to donate to and volunteer with a nonprofit organization that takes direct action in support of a social movement through organizing and conducting a permitted protest than a nonprofit that takes no action.

H2C:

Individuals will be less willing to donate to and volunteer with a nonprofit organization that takes direct action in support of a social movement through participation in extreme, unpermitted protests than a nonprofit that takes no action.

2.4 Perceptions of the Organization as Socially Responsible

In addition to examining various facets of individual support, this study will also examine individuals’ perceptions of an organization as socially responsible. Organizational social responsibility (SR), more commonly known as corporate social responsibility (CSR), refers to organizations holding moral obligations to society in which they aim to behave ethically in terms of their operation, as well as how they deal with their stakeholders (Snider, Hill, and Martin 2003, 175). Beyond the fact that social responsibility captures one aspect of stakeholders’ perception and evaluation of organizations, studies also show that an organization’s social contribution is positively associated with organizational reputation (Fombrun and Shanley 1990). Moreover, empirical evidence suggests that organizational social responsibility influences how stakeholders view the reputation of an organization more strongly than other factors, such as financial performance or leadership (Eisenegger and Schranz 2011). The perceived social responsibility even mitigates the negative stakeholder perceptions that might have been caused by reputational shocks like organizational scandals (Minor and Morgan 2011). Organizational social responsibility also leads to a greater level of stakeholder support including trustworthiness (Sisodia, Wolfe, and Sheth 2003), customer loyalty (Sen, Bhattacharya, and Korschun 2006), and employee commitment and satisfaction (Ellemers et al. 2011).

In the context of nonprofit organizations, organizational social responsibility might seem like an obvious virtue that their stakeholders expect, but as mission-based organizations, nonprofit organizations always need to hone their approach in responding to their social calling to provide essential services and goods to the population mostly neglected by the government and business (Carroll 1991). In addition to this social obligation, nonprofits also need to abide by the moral obligation to operate within laws and regulations (Pope et al. 2018). Finally, organizational social responsibility highlights the importance of nonprofits being held accountable for their various stakeholders by making their internal information public and having their performance audited by the external entities (Gibelman and Gelman 2004; Gugerty and Prakash 2010). Given the significance of perceived social responsibility for nonprofit organizations, this study will further investigate this concept and how it is shaped by nonprofits’ responses to social movements by testing the following hypotheses:

H3A:

A nonprofit organization that signals its support of a social movement through the development of new programming will be perceived as more socially responsible than a nonprofit that takes no action.

H3B:

A nonprofit organization that takes direct action in support of a social movement through organizing and conducting a permitted protest will be perceived as more socially responsible than a nonprofit that takes no action.

H3C:

A nonprofit organization that takes direct action in support of a social movement through participation in extreme, unpermitted protests will be perceived as less socially responsible than a nonprofit that takes no action.

Public support for protests tends to increase as actions are taken, provided that those actions are perceived as peaceful, legal, and in line with expected norms. However, public support may take a downturn if actions cross the line of what is considered reasonable and acceptable. Thus, we expect that the public’s perceptions of a nonprofit will vary depending on the type of action it takes in response to a social justice movement.

3 Methodology

This study utilizes a randomized online experiment to explore our research questions. We utilized a between-subjects design in which participants were randomly assigned to one of four study conditions, which we describe in greater detail below. The between-subjects design was preferred in this study over a within-subjects design because it allowed us to create a more concise and less time-consuming study instrument, which helped to ensure adequate response and completion rates and to avoid survey fatigue and carryover effects from one study condition to another. We describe our approach to sampling, recruitment, randomization, data quality checks, and measures below.

3.1 Sampling, Recruitment, and Randomization

We designed the experiment in Qualtrics and recruited panels through an online survey platform, Amazon Mechanical Turk (MTurk). We restricted the pool of respondents to those who were 18 years or older and resided in the U.S. We fielded the first round of the experiment with the total number of 161 respondents based on the power analysis that we conducted on G*Power program. The program recommended 138 respondents to find significant results, but we collected an additional 42 participants to ensure data quality by filtering inattentive responses. We then ran a second round of the experiment, which included additional questions, such as willingness to donate, and generated a total of 202 additional responses. The final sample size was 363 participants.

The experiment included a vignette along with four different experimental manipulations randomly assigned to the participants. The manipulations presented different scenarios for how a fictional nonprofit responded to a social justice movement advocating for police reform in their local community, amidst growing national attention and concerns about the use of excessive force by police against African Americans. The vignette presented information about a community-based organization called Community Connects that provides services in an area where the majority of residents are racial minorities. The vignette also gave basic information about the nonprofit’s mission, services, target population, and budget. After reading the vignette, participants were randomly assigned to one of four treatment groups outlining various organizational responses to the social justice movement. At the end of the survey, we debriefed participants about the purpose of the experiment and the rationale for using a fictional organization. (See the Supplementary Document for the full text of the base scenario and vignettes.)

MTurk accommodates random assignment by recruiting individual survey participants through their platform and then randomly assigning experimental manipulations to their panel. To ensure this process functioned properly, we conducted balance tests, which showed that samples across the four treatment groups did not have statistically significant differences in demographic characteristics, signaling successful randomization of our study sample.

3.2 Data Quality Checks

Public and nonprofit management scholars are increasingly using online survey platforms to study various topics, particularly those related to individuals’ cognitive processes (e.g. Pedersen, Stritch, and Taggart 2017; Tremblay-Boire and Prakash 2019). MTurk is one survey platform that offers low cost and high accessibility, as well as a large pool of potential respondents to enable efficient and timely data collection. However, as with other experimental tools, MTurk poses some potential challenges identified by previous research. First, it has been suggested that survey participants spend too little time taking surveys so they can take as many surveys as possible (Stritch, Pedersen, and Taggart 2017). Second, participants may seek to take the same survey multiple times, looking for ways to bypass restrictions that researchers set through virtual provider servers (VPS) and virtual provider networks (VPN). Third, participants may also try to work around eligibility criteria, such as geographic location, taking the survey even if they do not qualify for participation. Finally, there are also cases in which researchers find that automated completion scripts (e.g. bots) are used to complete surveys, not actual human participants.

To address such issues with data quality and unidentifiable responses, we adopted various screening methods and attention checks to ensure the data’s validity. First, the experiment implemented the screening protocols Burleigh, Kennedy, and Clifford (2018) developed to filter out respondents who use VPS or VPN and those participating in the survey outside the U.S. These measures help to eliminate the issue of participants taking the same survey more than once, as well as ensuring that participants meet the eligibility criterion of living within the U.S. Second, the survey included a Recaptcha question to screen out automated scripts such as bots. Third, an attention check question on the mission of the nonprofit was presented after the experimental interventions to test whether the respondents paid appropriate attention to the vignette and manipulation, as well as to add another bot check through the use of an open-ended question. The final sample after poor quality responses were eliminated through these quality control checks was 180 respondents. In terms of representativeness, the demographic characteristics of our sample overrepresent male (62 % vs. 49.5 %), white (82 % vs. 59.3 %), bachelor’s degree (61 % vs. 23.5 %), and low-to-mid income (76 % vs. 52.3 %) groups of respondents (see Table B for a full comparison).

3.3 Measures

The independent variable in this study is the experimental intervention on how nonprofits engaged with a social justice movement centered on police reform in their community. We randomly assigned survey participants to four different levels of a nonprofit’s involvement in the social movement, ranging from radical involvement to no actions at all. The first group is the group in which the nonprofit did not take any action. In the second group, the nonprofit addressed the issues raised by the social justice movement through the creation of new programming within their organization. In the third treatment group, the nonprofit engaged in direct action in support of the social justice movement through organizing and conducting permitted demonstrations and public events. In the final treatment group, the nonprofit engaged in direct action through participation in unpermitted protests involving more extreme actions such as blocking traffic and confronting local authorities.

This study includes multiple dependent variables encompassing stakeholder perceptions and support. First, we measured overall support by asking survey participants how much they supported the organization’s actions on a 5-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Second, we asked respondents about their willingness to give by asking them to choose the amount they are willing to donate on a slider that ranges from 0 to 100 US dollars. We had some missing responses, resulting in a slightly smaller sample size (N = 168). Due to the outliers, we logged this measure for the analysis. Third, we asked about their willingness to volunteer using a 5-point Likert scale (from 1 = strongly unlikely to 5 = strongly likely). Finally, we asked participants about their perception of the organization as socially responsible. Participants were asked to indicate their agreement with the statement that “the organization is socially responsible” on a 5-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Finally, we included a moderator on whether or not individuals had previously participated in protests (1 = yes, 0 = no). Details on the operationalization of the independent, dependent, and control variables examined in this study are available in the Supplementary Document.

4 Findings

Table 1 shows the results of the main analyses examining the relationship between the nonprofit’s responses to a social justice movement and public perceptions and support. The nonprofit’s responses to the social justice movement were significantly associated with public perceptions of the organization, mostly in expected ways, with the group with no action serving as the reference group throughout the models. The first column of Table 1 demonstrates that the nonprofit’s participation in a peaceful form of protest was positively and strongly associated with individuals’ overall support of the organization’s actions (p < 0.01), compared to the case where the organization did not take any action. The nonprofit’s decision to add new programming was also positively associated with overall support at marginal statistical significance (p < 0.1). However, the nonprofit’s participation in extreme forms of protests was not significantly associated with overall support. Therefore, the first set of hypotheses were supported for H1A and H1B but not supported for H1C.

Table 1:

Effects of different forms of nonprofits involvement in social movement on public perceptions and support (OLS).

Variables (1) (2) (3) (4)
Overall support Donation intentions in dollar amount Volunteering intentions Socially responsible
Extreme form of action −0.125 0.075 −0.121 −0.212
(0.249) (0.335) (0.297) (0.253)
Permitted action 0.683*** 0.178 0.269 0.845***
(0.197) (0.311) (0.278) (0.175)
New programming 0.456* −0.179 0.064 0.595***
(0.237) (0.311) (0.281) (0.201)
Constant 3.681*** 2.648*** 3.277*** 3.723***
(0.158) (0.216) (0.197) (0.151)
Observations 180 168 180 180
R-squared 0.083 0.008 0.011 0.155
  1. Standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

On the other hand, as shown in the second and third columns, we found no significant association between different nonprofit responses to the social justice movement and individuals’ willingness to donate or volunteer. In other words, individuals were not strongly influenced by the nonprofit’s actions in support of a social justice movement when deciding to donate or volunteer. Thus, our second set of hypotheses (H2A, H2B, and H2C) was not supported.

With respect to social responsibility, we found mixed results. The nonprofit’s involvement in less extreme, permitted demonstrations was positively and significantly associated with perceptions of the nonprofit as socially responsible (p < 0.01) compared to the nonprofit that took no action. The nonprofit’s decision to add new programming was also positively and significantly associated with perceptions of being socially responsible compared to taking no action. By contrast, the nonprofit’s engagement in the most extreme form of protest displayed a negative coefficient, but the effect on perceptions of the organization as socially responsible was not significant. This partially supports our third set of hypotheses, with H3A and H3B supported and H3C not supported.

We also ran the main model controlling for covariates to ensure the rigor of our results. Table 4 shows highly consistent results with Table 1 that individuals were more likely to support the organization’s actions (overall support) and perceive the organization as socially responsible when it engaged in peaceful, permitted protests and when it decided to launch new programming.

Several control variables were strongly associated with individual perceptions and support. For example, individuals who had previously donated to a nonprofit were more likely to support the organization’s actions, donate, and perceive the organization as socially responsible. Individuals with prior volunteering experience were more likely to express a willingness to volunteer for the organization. Positive perceptions of the nonprofit sector as a whole were also strongly and positively associated with most perceptual and supporting measures.

By contrast, very few demographic characteristics were found to influence individual perceptions and support, with the exception of age and religious affiliation. Age was negatively associated with overall support and volunteering intentions. Religious affiliation also influenced individual perceptions and supporting behaviors, such that Catholic, Buddhists, Jewish and Hindu were more likely to support and volunteer for the organization as compared to Protestants. As an additional robustness check, we also ran the ordered logit regression for dependent variables only with ordinal variables (overall support, volunteering intentions, and socially responsible) and found consistent results across the models.

We also conducted a moderation analysis to examine whether past participation in protests influenced participants’ perceptions of the nonprofit actions depicted in this study. Table 2 shows that a nonprofit’s engagement in extreme protest was negatively associated with perceptions of being socially responsible (p < 0.1) as well as with overall support for the organization (p < 0.05). In terms of the moderating effects, individuals who had previously been involved in protests were more likely to perceive the nonprofit as socially responsible when it participated in the most extreme form of protest, which effectively mintages the negative effect of extreme forms of protests and yields positive effects for people who have participated in protests (p < 0.01). However, we did not find any significant moderating effects for either the permitted demonstrations group or the new programming group. This finding suggests that people who have participated in protests before hold very different expectations for how nonprofits should respond to and become involved with a social justice movement as compared to those who have not participated in protests previously. Table D, with multiple covariates, further reinforces that individuals who have participated in protests before are more likely to indicate overall support and view the organization more socially responsible when the organization is involved in a more extreme form of protest.

Table 2:

Interaction between Individual’s experience in participating in protests and forms of nonprofit involvement in social movement (OLS).

Variables (1) (2)
Socially responsible Overall support
Extreme form of action −0.646* −0.718**
(0.340) (0.311)
Experience in protests −0.212 −0.422
(0.318) (0.354)
Extreme * experience in protests 1.058** 1.464***
(0.495) (0.495)
Permitted action 0.680*** 0.567**
(0.230) (0.232)
Permitted * experience in protests 0.416 0.337
(0.361) (0.428)
New programming 0.521** 0.310
(0.256) (0.297)
New programming * experience in protests 0.203 0.404
(0.422) (0.497)
Constant 3.800*** 3.833***
(0.189) (0.174)
Observations 180 180
R-squared 0.197 0.144
  1. Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

In addition, we also ran an analysis with the interaction term between individual political views and individuals’ perceptions of the nonprofit’s actions. Table 3 shows that the main effects of political views on public perceptions and support are not significant. However, there are a few significant interaction effects. First, both politically moderate individuals and politically liberal individuals view the organization as more socially responsible when the organization plans to adopt new programs in response to the social justice movement. Second, political liberals also indicate greater overall support for the organization when they plan to adopt new programming. Thus, political views do influence individuals’ perceptions with respect to specific actions taken, albeit to a limited extent.

Table 3:

Interaction between individual’s political views and forms of nonprofit involvement in social movement (OLS).

Variables (1) (2)
Socially responsible Overall support
Extreme form of action −0.191 −0.082
(0.409) (0.384)
Politically moderate −0.566 −0.507
(0.433) (0.507)
Politically liberal −0.259 −0.246
(0.332) (0.338)
Extreme * moderate −0.184 −0.150
(0.749) (0.764)
Extreme * liberal −0.046 −0.110
(0.550) (0.539)
Permitted action 0.630** 0.261
(0.272) (0.350)
Permitted * moderate 0.566 0.650
(0.493) (0.629)
Permitted * liberal 0.253 0.625
(0.385) (0.445)
New programming −0.275 −0.416
(0.358) (0.414)
New programming * moderate 1.525*** 1.041
(0.570) (0.799)
New programming * liberal 1.259*** 1.446***
(0.441) (0.493)
Constant 3.941*** 3.882***
(0.235) (0.242)
Observations 180 180
R-squared 0.224 0.162
  1. Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

Table 4:

Effects of different forms of nonprofits involvement in social movement on public perceptions and support controlling for demographic variables (OLS).

Variables (1) (2) (3) (4)
Overall support Donation intentions in dollar amount Volunteer intentions Socially responsible
Extreme form of action −0.084 −0.785** −0.307 −0.151
(0.280) (0.367) (0.269) (0.280)
Permitted action 0.560** −0.258 −0.320 0.683***
(0.244) (0.317) (0.278) (0.222)
New programming 0.397 −0.353 −0.080 0.673***
(0.260) (0.325) (0.268) (0.245)
Donation experience 0.587** 0.406 0.379 0.190
(0.233) (0.387) (0.230) (0.249)
Volunteer experience 0.062 0.174 0.524** 0.073
(0.214) (0.235) (0.230) (0.193)
Experience in protests −0.218 −0.000 0.372 −0.003
(0.222) (0.290) (0.242) (0.204)
General perceptions of the nonprofit sector 0.543*** 0.473** 0.574*** 0.547***
(0.134) (0.213) (0.150) (0.138)
Male 0.086 −0.048 0.127 0.093
(0.193) (0.280) (0.208) (0.176)
Other gender −0.102 1.300* 0.544 0.216
(0.533) (0.654) (0.771) (0.453)
Age −0.011* −0.009 −0.017** −0.008
(0.007) (0.014) (0.007) (0.006)
Politically moderate −0.088 −0.251 0.125 −0.014
(0.285) (0.327) (0.280) (0.279)
Liberal 0.168 0.311 0.225 0.028
(0.228) (0.319) (0.215) (0.198)
Income $10,000–$24,999 0.539 −0.502 0.051 0.313
(0.643) (0.425) (0.897) (0.752)
Income $25,000–$49,999 0.064 −0.157 0.249 −0.009
(0.612) (0.363) (0.844) (0.699)
Income $50,000–$74,999 0.272 0.030 0.371 0.265
(0.630) (0.391) (0.853) (0.712)
Income $75,000–$99,999 0.259 0.127 0.403 −0.011
(0.671) (0.521) (0.871) (0.730)
Income $100,000–$149,000 0.331 −0.240 −0.139 0.210
(0.635) (0.741) (0.943) (0.735)
Income $150,000 or more −0.268 −1.052 0.021 0.125
(0.769) (0.674) (0.942) (0.947)
Some college or associate’s degree 0.319 1.087** 0.433 0.420
(0.458) (0.496) (0.452) (0.370)
Bachelor’s degree 0.322 1.079** 0.388 0.433
(0.448) (0.484) (0.423) (0.365)
Graduate or professional degree 0.458 0.861 0.586 0.444
(0.492) (0.617) (0.529) (0.366)
Suburban 0.010 0.027 0.170 0.351
(0.265) (0.335) (0.267) (0.269)
Urban 0.032 0.240 0.293 0.384
(0.262) (0.363) (0.258) (0.265)
African American −0.142 −0.373 0.178 −0.394
(0.345) (0.542) (0.314) (0.326)
Native American 0.077 0.504 −0.453
(0.752) (0.623) (0.410)
Asian −0.267 0.306 −0.236 −0.428
(0.405) (0.351) (0.467) (0.455)
Mixed race −0.175 −0.555 −0.271 0.070
(0.469) (0.780) (0.608) (0.402)
Other race 0.812 0.243 −0.285 0.894
(0.562) (0.647) (0.647) (0.594)
Hispanic 0.539* 0.272 0.309 0.269
(0.305) (0.330) (0.297) (0.274)
Catholic 0.376 0.365 0.695*** 0.112
(0.290) (0.432) (0.257) (0.274)
Buddhist 1.809*** 1.129 0.954 0.780
(0.662) (0.942) (0.742) (0.640)
Jewish 0.791** 0.050 0.012 0.207
(0.328) (0.468) (0.751) (0.304)
Hindu 1.436*** 0.467 2.031*** 0.651
(0.426) (0.584) (0.396) (0.426)
Agnostic 0.387 −0.612 −0.421 −0.072
(0.344) (0.488) (0.351) (0.341)
Atheist 0.465 −0.127 −0.069 0.253
(0.350) (0.411) (0.335) (0.344)
Other religion 0.572 1.736** −0.218 0.218
(0.566) (0.663) (0.594) (0.543)
Constant 0.265 0.528 −0.450 0.488
(1.069) (1.703) (1.254) (1.052)
Observations 179 105 179 179
R-squared 0.347 0.475 0.482 0.375
  1. Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

5 Discussion and Implications

This study contributes to our knowledge of the relationship between nonprofits’ involvement in a social movement and stakeholder perceptions. Amidst escalated political and social tensions in the U.S., nonprofit organizations are increasingly expected to respond to different issues and make their voices heard for the sake of marginalized communities (e.g. Independent Sector 2021). However, whether and how to engage in advocacy and various political activities is an important question with implications for nonprofits’ public acceptance and reputation. Recognizing a gap in the literature, we extend existing discussions of nonprofit advocacy and political involvement to consider how public perceptions and support are influenced by different forms of nonprofit participation in a social movement.

In general, our findings suggest that the public perceives nonprofits’ involvement in social movements positively, and stakeholders are overall supportive of their actions when those actions include taking part in permitted demonstrations or broadening the reach of their programs to address the issue at hand. They also view the nonprofit that takes such actions as socially responsible. Individuals who are politically moderate and politically liberal, in particular, favor the decision to adjust programming in response to social movements.

However, the positive perceptions in terms of overall support and social responsibility diminish when it comes to nonprofits engaging in more extreme forms of protest, including protests undertaken without obtaining government permits. These findings align with previous research, which has shown that extreme forms of protest are typically less effective in generating public support than protests that fit within expected social and legal norms, even if the purpose of the demonstrations remains the same (Jones and Libicki 2008; Schein and Gray 2018; Stephan and Chenoweth 2008). Our study extends these findings to a nonprofit context, suggesting that the public views nonprofit organizations as legitimate actors in social movements, supports their involvement in social justice causes, and sees nonprofits as socially responsible, as long as their public actions stay within certain limits.

Additionally, we found some interesting differences between individuals who had previously participated in protests and those who had not. Specifically, we found that the negative relationship between nonprofit participation in extreme unpermitted protests and public perceptions was mitigated by respondents’ previous participation in protests. This finding emerged for both social responsibility and overall support and suggests that previous experience with protests may make an individual less likely to view extreme actions in support of a social movement in a negative light, as compared to those with no prior involvement in protests. This finding parallels previous findings on the importance of past protest behavior in influencing future willingness to engage in protests (Kwak 2022) and suggests that past protest behavior also influences perceptions of others’ engagement in protests. Individuals who have participated in protests themselves may be more willing to tolerate, if not outright support, extreme actions on the part of nonprofits, as compared to the broader public, which tends to view such actions negatively, as demonstrated in both previous studies (e.g. Feinberg, Willer, and Kovacheff 2020) and our own findings. Since the questionnaire did not ask participants to report specific details of the type of protest they had previously participated in, we cannot determine whether participants have engaged in real-life protests that mirror the ones described in our study vignettes, or with what frequency.[1] Nevertheless, we can infer that previous involvement in protests of any kind can lead individuals to be more favorable toward a wider range of nonprofit advocacy activities with respect to social movements.

To our knowledge, this study is the first to consider how nonprofit involvement in social movements influences public perceptions and willingness to support, a topic that has become increasingly relevant for contemporary nonprofits. Based on our findings, we argue that nonprofit organizations should consider addressing important political issues happening in their communities and society, especially when the issues align with their missions and cause. Many nonprofit organizations provide essential services to local communities; often, the client groups are marginalized populations whose access to services are limited from government agencies or business. Since nonprofits are regarded as more trustworthy than either public or for-profit entities (Hansmann 1979), nonprofits cannot ignore issues affecting the communities in which they operate. Moreover, recent Independent Sector polls (2021, 2025) indicate that respondents overall viewed nonpartisan efforts by nonprofits to advocate for issues affecting their communities in a favorable light.

However, as with any decision, nonprofits should review their options for action when confronted with changing social and political contexts in their community. Based on our findings, and in line with past research, nonprofit leaders, like social movement organizers, must consider the form that their advocacy takes if they wish to maintain public support and positive perceptions of their actions and the organization as a whole. The strategic management and communications literature suggests that organizations should keep their mission front and center in making these determinations, especially as scarce resources must often be diverted from other activities to support advocacy and engagement efforts (Riegel and Mumford 2022). If the potential action is aligned with the mission and will help the organization to better meet their goals, then the organization should consider a path forward, setting discrete, actionable, and measurable goals to track progress. One of the greatest criticisms of the nonprofit sector is the difficulty of moving from intent to impact; the lack of progress in diversifying nonprofit executives and boards, despite decades worth of studies and industry publications calling for change, is a prime example of this (Fredette and Bernstein 2019). Therefore, nonprofits looking to align themselves with the goals of a social justice movement, whether through instrumental or expressive activities (or both), must have a strategic vision and plan for how their action will improve outcomes for the organization, its stakeholders, and society.

Ultimately, the evidence from this study suggests that the public does care about nonprofits’ responses to social movements. While 501(c)(3) public charities are legally constrained by the extent to which they can involve themselves in the political process, nonprofits can still take various actions in support of social movements to address the issues facing their communities. Leaders of nonprofit organizations should recognize that there does not need to be a tradeoff between taking action and losing public support, provided their actions are within legal boundaries and in line with their mission and values. Thus, nonprofits should consider engaging with the pressing social and political issues of the moment, especially those that directly affect their constituencies, and view them as opportunities to demonstrate genuine caring and concern for their communities by taking appropriate and supportive actions.

5.1 Limitations and Directions for Future Research

As one of the first attempts to examine nonprofits’ role in social movements in relation to public perceptions and support, we acknowledge the limitations of our study and suggest ways that future research might address them. First, this paper contains a single case study of a hypothetical community-based nonprofit organization with a relatively small sample size. Future studies might find more significant effects of nonprofits’ stance on social movements in a spectrum of intensity on other types of public support and perceptions with a larger dataset. Moreover, given that the study utilized an online experiment with convenience sampling via MTurk, the generalizability of the findings beyond the study context, which describes a human services-related nonprofit responding to a specific social issue at a single point in time, may be limited. As mentioned in the data section, we have attempted to mitigate some of the challenges associated with using MTurk by conducting a series of rigorous quality checks. Nevertheless, future research is needed to investigate nonprofits’ involvement in advocacy activities in other service domains and policy settings to see whether the results are consistent with this study with a larger and more representative sample.

Second, this study asked participants about their intent to support the organization and did not measure actual actions undertaken in support of a nonprofit (e.g. donations or volunteering). Some scholars have noted the limitations of asking people about their intentions rather than their actual behaviors, arguing that the two may not align (Nederhof 1985). Future research could try to mitigate this issue by providing participants with a small amount of money to donate to a real organization, or by asking actual donors or volunteers about their perceptions of a nonprofit’s advocacy work.

Third, although the current study had three different levels of intensity in terms of nonprofits’ political actions, the scope of intensity could be broken down even further by including more extreme types of protest. For example, future research could investigate how more extreme types of action in support of social movements influence public perceptions and willingness support, as existing studies in political science suggest such activities are perceived strongly negatively by the public.

Finally, in an effort to examine public perceptions of nonprofit responses to a social movement, we chose to conduct the experiment using a fictional nonprofit organization that was deliberately broad in scope so as to make it relatable to a general audience. However, the use of a hypothetical case organization creates some additional limitations that leave room for future exploration. For instance, while we were able to investigate the moderating effect of participants’ prior involvement in protests in general, individuals’ personal connections and past involvement with the specific nonprofit cannot be captured. It is likely that individuals with a direct connection to the nonprofit would react differently than those with no prior connection or involvement. Additionally, we were not able to test the effects of local context, and the actions of peer organizations, on people’s assessment of the specific nonprofit’s actions, beyond providing some basic details about the demographics of the community and the nonprofit’s clientele. Yet, if the nonprofit is operating in a community where all other organizations have taken an action or responded in some way, then the public may view a lack of action more negatively as a result. Given these limitations, future research could build on our findings by testing the salience of these factors through in-depth analysis of a real case example or by surveying participants about the actions of actual nonprofit organizations that are well-known nationally or within a specific study context.

6 Conclusions

Given the increasing visibility of social movements and rising political tensions in the United States, nonprofits across mission areas and geographies must grapple with their role in responding to and addressing these challenges. As the first study to examine whether and how various actions taken by a nonprofit in support of a social movement influence public perceptions and willingness to support, we contribute to this important and ongoing discussion about the direction of nonprofit advocacy and the public’s expectations for nonprofit involvement in complex and controversial social issues. Despite its limitations, this study offers useful insights for nonprofit managers and lays the groundwork for further research on this increasingly pressing topic.


Corresponding author: Minjung Kim, Syracuse University Maxwell School of Citizenship and Public Affairs, Syracuse, USA; and Gradel Institute of Charity, University of Oxford, Oxford, UK, E-mail:

Appendix

Table A: Descriptive Statistics

Response to police reform
Extreme form of action Permitted action New programming No action Total
Total n (%) 45 (25 %) 44 (25 %) 44 (24 %) 47 (26 %) 180 (100 %)

Overall support for Organization’s actions

  Strongly oppose 3 (7 %) 0 (0 %) 3 (7 %) 1 (2 %) 7 (4 %)
  Somewhat oppose 9 (20 %) 1 (2 %) 1 (2 %) 8 (17 %) 19 (11 %)
  Neutral 6 (13 %) 5 (11 %) 6 (14 %) 7 (15 %) 24 (13 %)
  Somewhat support 14 (31 %) 15 (34 %) 11 (25 %) 20 (43 %) 60 (33 %)
  Strongly support 13 (29 %) 23 (52 %) 23 (52 %) 11 (23 %) 70 (39 %)
Amount willing to donate mean 33.2 33.5 25.7 29.1 30.3
SD 31.8 31.6 28.4 29.9 30.3

Willing to volunteer

  Strongly disagree 11 (24 %) 4 (9 %) 5 (11 %) 8 (17 %) 28 (16 %)
  Somewhat disagree 4 (9 %) 6 (14 %) 8 (18 %) 5 (11 %) 23 (13 %)
  Neutral 6 (13 %) 9 (20 %) 8 (18 %) 8 (17 %) 31 (17 %)
  Somewhat agree 15 (33 %) 12 (27 %) 13 (30 %) 18 (38 %) 58 (32 %)
  Strongly agree 9 (20 %) 13 (30 %) 10 (23 %) 8 (17 %) 40 (22 %)
Organization is socially responsible n (%)

  Strongly disagree 6 (13 %) 0 (0 %) 0 (0 %) 0 (0 %) 6 (3 %)
  Somewhat disagree 6 (13 %) 0 (0 %) 3 (7 %) 19 (20 %) 18 (10 %)
  Neutral 3 (7 %) 2 (5 %) 3 (7 %) 13 (14 %) 14 (8 %)
  Somewhat agree 19 (42 %) 15 (34 %) 15 (34 %) 45 (48 %) 70 (39 %)
  Strongly agree 11 (24 %) 27 (61 %) 23 (52 %) 23 (25 %) 72 (40 %)

Table B: Demographics

Current study U.S. population Sources
Past experience of protests 71 (39.4 %) 20 % Washington Poll (2018)

Gender

  Female n (%)a 67 (37 %) 50.5 % American Community Survey (ACS) (2021)
  Male n (%) 111 (62 %) 49.5 % ACS (2021)
  Other n (%) 2 (1 %) N/A

Race/Ethnicity

  Asian n (%) 8 (4 %) 6.1 % ACS (2021)
  Black/African American n (%) 20 (11 %) 13.6 % ACS (2021)
  White n (%)* 147 (82 %) 59.3 % ACS (2021)
  Multiracial n (%) 2 (2 %) 2.9 % ACS (2021)
  Other n (%) 3 (2 %) 1.6 % ACS (2021)

Hispanic

  Hispanic n (%) 22 (12 %) 18.9 % ACS (2021)
  Not Hispanic n (%) 157 (87 %) 81.1 % ACS (2021)

Education

  High School/GED n (%)* 18 (10 %) 27.9 % ACS (2021)
  Some college n (%) 34 (19 %) 14.9 % ACS (2021)
  BA n (%) 110 (61 %) 23.5 % ACS (2021)
  Graduate degree n (%) 18 (10 %) 14.4 % ACS (2021)

Income

  Less than $50,000 n (%)* 78 (43 %) 36.5 % ACS (2021)
  $50,000–$74,999 n (%) 59 (33 %) 16.8 % ACS (2021)
  Greater than $75,000 n (%) 43 (24 %) 46.8 % ACS (2021)

Political views

  Conservative n (%)* 66 (37 %) 49 % Gallup (2021)
  Liberal n (%) 84 (47 %) 40 % Gallup (2021)
  Moderate n (%) 30 (17 %) 11 % Gallup (2021)

Region

  Rural n (%)* 30 % (17 %) 21 % Bloomberg (2018)
  Suburban n (%) 74 (41 %) 52 % Bloomberg (2018)
  Urban n (%) 76 (42 %) 27 % Bloomberg (2018)

Religion

  Agnostic n (%) 31 (17 %) 5 % Pew Research (2021)
  Atheist n (%) 27 (15 %) 4 % Pew Research (2021)
  Catholic n (%) 80 (44 %) 21 % Pew Research (2021)
  Protestant n (%)* 27 (15 %) 40 % Pew research (2021)
  Jewish n (%) 5 (2.8 %) 2.4 % Pew Research (2021)
  Muslim n(5) 0 (0 %) 0.9 % Pew Research (2014)
  Buddhist n (%) 1 (0.6 %) 0.7 % Pew Research (2014)
  Hindu n (%) 1 (0.6 %) 0.7 % Pew Research (2014)
  Other n (%) 8 (4 %) 1.8 % Pew Research (2014)
Age mean 36.1 38.8 ACS (2021)
  1. *Reference groups.

Table C: Regression Results after Controlling for Demographic Variables (Ordered Logit)

Variables (1) (2) (3)
Overall support Volunteering intentions Socially responsible
Extreme form of action 0.219 −0.602 0.005
(0.536) (0.527) (0.600)
Permitted action 1.099** −0.610 1.639***
(0.486) (0.563) (0.515)
New programming 1.221** −0.037 1.648***
(0.497) (0.515) (0.541)
Donation experience 1.242*** 0.874** 0.576
(0.437) (0.444) (0.576)
Volunteer experience 0.273 0.793* 0.182
(0.449) (0.414) (0.450)
Experience in participating in social movements −0.554 0.794 0.029
(0.466) (0.493) (0.489)
General perceptions of the nonprofit sector 1.183*** 1.380*** 1.392***
(0.294) (0.342) (0.324)
Male −0.000 0.438 0.060
(0.363) (0.442) (0.390)
Other gender −0.393 0.561 0.506
(1.145) (1.718) (1.141)
Age −0.022 −0.037** −0.026*
(0.015) (0.016) (0.015)
Politically moderate −0.251 0.089 −0.251
(0.624) (0.574) (0.679)
Liberal 0.350 0.320 −0.129
(0.468) (0.423) (0.454)
Income $10,000–$24,999 0.955 0.104 0.162
(1.083) (1.854) (1.309)
Income $25,000–$49,999 0.197 0.332 −0.393
(1.019) (1.736) (1.136)
Income $50,000–$74,999 0.728 0.544 0.569
(1.060) (1.741) (1.172)
Income $75,000–$99,999 0.767 0.706 −0.305
(1.172) (1.771) (1.243)
Income $100,000–$149,000 0.530 −0.607 −0.143
(1.130) (1.941) (1.307)
Income $150,000 or more −0.115 −0.216 0.245
(1.400) (2.014) (1.882)
Some college or associate’s degree 0.399 0.986 0.495
(0.923) (0.792) (0.771)
Bachelor’s degree 0.089 0.490 0.560
(0.864) (0.759) (0.708)
Graduate or professional degree 0.167 1.008 0.437
(0.960) (0.978) (0.780)
Suburban 0.251 0.405 0.853
(0.552) (0.512) (0.585)
Urban 0.276 0.608 1.008*
(0.541) (0.520) (0.573)
African American −0.269 0.635 −1.127
(0.707) (0.680) (0.721)
Native American −0.119 0.550 −1.653*
(1.769) (1.311) (0.885)
Asian −0.089 −0.286 −0.233
(0.805) (0.881) (1.046)
Mixed race −0.185 −0.606 13.023***
(1.064) (1.171) (1.170)
Other race 1.253 0.002 1.252
(1.204) (1.228) (1.367)
Hispanic 1.136 1.004 0.572
(0.741) (0.637) (0.716)
Catholic 0.518 1.354** −0.316
(0.662) (0.557) (0.742)
Buddhist 16.106*** 1.686 0.651
(1.697) (1.441) (1.620)
Jewish 1.634** 0.323 0.529
(0.807) (1.423) (0.816)
Hindu 2.261** 3.765*** 0.274
(0.909) (0.894) (1.048)
Agnostic 0.600 −0.869 −0.399
(0.677) (0.669) (0.796)
Atheist 0.919 −0.084 0.659
(0.717) (0.640) (0.858)
Other religion 0.500 −0.545 −0.037
(1.092) (1.103) (1.310)
Observations 179 179 179
Pseudo r-squared 0.158 0.216 0.197
  1. Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

Table D: Interaction between Individual’s Experience in Participating in Protests and Forms of Nonprofit Involvement in Social Movement Controlling for Demographic Variables (OLS)

Variables (1) (2)
Overall support Donation intentions in dollar amount
Extreme form of action −0.661* −0.709**
(0.351) (0.315)
Experience in protests −0.522 −0.869**
(0.372) (0.388)
Extreme * experience in protests 1.234** 1.516***
(0.532) (0.516)
Permitted action 0.471* 0.316
(0.255) (0.265)
Permitted * experience in protests 0.555 0.644
(0.418) (0.474)
New programming 0.468 0.116
(0.287) (0.305)
New programming * experience in protests 0.544 0.753
(0.469) (0.515)
Donation experience 0.236 0.638***
(0.232) (0.223)
Volunteer experience −0.042 −0.070
(0.193) (0.207)
General perceptions of the nonprofit sector 0.513*** 0.503***
(0.140) (0.139)
Male 0.084 0.074
(0.172) (0.187)
Other gender 0.280 −0.006
(0.443) (0.503)
Age −0.010 −0.013**
(0.006) (0.006)
Politically moderate −0.085 −0.169
(0.259) (0.272)
Liberal 0.002 0.142
(0.194) (0.225)
Income $10,000–$24,999 0.111 0.290
(0.749) (0.630)
Income $25,000–$49,999 −0.065 −0.009
(0.706) (0.603)
Income $50,000–$74,999 0.185 0.171
(0.718) (0.614)
Income $75,000–$99,999 −0.116 0.129
(0.736) (0.651)
Income $100,000–$149,000 0.118 0.225
(0.742) (0.625)
Income $150,000 or more 0.198 −0.189
(0.960) (0.741)
Some college or associate’s degree 0.438 0.339
(0.347) (0.436)
Bachelor’s degree 0.475 0.373
(0.352) (0.428)
Graduate or professional degree 0.568 0.608
(0.361) (0.485)
Suburban 0.360 0.020
(0.258) (0.258)
Urban 0.373 0.023
(0.256) (0.259)
African American −0.394 −0.154
(0.336) (0.361)
Native American −0.230 0.355
(0.514) (0.886)
Asian −0.605 −0.494
(0.455) (0.387)
Mixed race −0.016 −0.296
(0.401) (0.452)
Other race 0.302 0.082
(0.592) (0.571)
Hispanic 0.176 0.426
(0.293) (0.327)
Catholic −0.003 0.225
(0.284) (0.286)
Buddhist 0.729 1.737***
(0.638) (0.626)
Jewish 0.142 0.707**
(0.315) (0.307)
Hindu 0.837* 1.646***
(0.449) (0.456)
Agnostic −0.167 0.265
(0.335) (0.327)
Atheist 0.219 0.410
(0.338) (0.338)
Other religion 0.270 0.638
(0.494) (0.503)
Observations 179 179
Pseudo r-squared 0.406 0.390
  1. Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/npf-2023-0085).


Received: 2023-09-18
Accepted: 2025-03-09
Published Online: 2025-04-04

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