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Advances in Social Sciences Research Journal – Vol. 11, No. 8

Publication Date: August 25, 2024

DOI:10.14738/assrj.118.17423.

Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal

Level. Advances in Social Sciences Research Journal, 11(8). 222-239.

Services for Science and Education – United Kingdom

Behind the Bench: Power Dynamics in the Supreme Court of the

United States Through the Lens of Construal Level

Mykaela L. Chang

Head-Royce School

ABSTRACT

Power dynamics exist among the nine justices on the Supreme Court. Through the

lens of construal level, the justices’ psychological distance can indicate power,

which can ultimately affect the decision-making process on case deliberation. This

research examines power dynamics arising from tenure, gender, and political

ideology of the justices, and the type of opinion written, through language conveyed

in written opinions. I find that tenure, gender and political ideology have some

association with abstraction, certainty, positive affect and/or future orientation,

suggesting that justices have predictable behavioral implications stemming from

their power level. Results for the type of opinions show significance for the opposite

prediction, with concurring and dissenting opinions exhibiting more abstract,

certain and positive. Exploring power dynamics among the justices helps to unpack

the decision-making process in the High Court.

Keywords: Power dynamics in the Supreme Court, Construal level Theory, political

ideology, types of opinions, tenure

INTRODUCTION

The recent political sphere of the United States is punctuated by changes brought on by the

proliferation of social media influence and news networks, augmented channels of political

extremists, and enhanced levels of political polarization. One factor that is galvanizing these

occurrences is the long-lasting consequences stemming from Supreme Court decisions.

Decisions made by nine individuals on the nation’s highest court dictate the final say in how a

law can be applied and interpreted, and thus what social actions are or are not permitted in the

eyes of the legal system. It has long been acknowledged that these nine individuals as a

collective entity hold tremendous power. These nine justices have the power and reach to

directly impact hundreds of millions of citizens. Each Supreme Court justice’s vote has the same

weight and percentage of the total tally. However, this does not equate to all nine justices having

the same level of power on the Court. Power is contextual, and differs across environments.

Thus, the justices have differing levels of power as they deliberate and decide on cases. In

essence, it is imperative to explore the power dynamics among these nine justices rather than

simply treating the Court as one single entity. Exploring power dynamics among the justices

helps to unpack the decision-making process in the High Court, particularly debunking the

common belief that political ideologies alone determine the outcome of judicial decisions.

The Court composition changes when justices enter and exit the bench. The deaths and

retirements of liberal justices Ruth Bader Ginsburg and Anthony Kennedy and their subsequent

replacements with conservative justices Amy Coney Barrett and Brett Kavanaugh shifted the

Court majority from liberal-leaning to a conservative majority. The current Supreme Court is

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Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

the most conservative Court in decades, marking a stark shift in the direction of some social

norms and acceptances. For example, the decision made in the seminal Dobbs v. Jackson

Womens’ Health Organization case stipulated that the right to an abortion past six weeks was

not protected by the United States Constitution. This decision was made by a 6-3 split along

ideological party lines, with the conservative justices comprising the majority. This single

decision, made by nine individuals, affected the reproductive rights of millions of women and

future citizens, overturning the landmark Roe v. Wade decision that rendered abortions legal in

this country. In contrast, the Obergefell v. Hodges case legalized same-sex marriage in a 5-4 vote.

Justice Kennedy, a conservative justice, sided with the liberal justices and even wrote the

majority opinion.

The Court is also dynamic when different cases are deliberated, with both conservative and

liberal justices voting against their party ideologies. While some cases are decided quite clearly

along ideological lines, others go against a justice’s political ideology. Justice John Roberts, a

conservative, voted to uphold the Obamacare policy, in line with the liberal justices bloc, in a

controversial 5-4 vote. Justice Clarence Thomas, another conservative, has voted alongside

liberal justices twelve times in 5-4 votes since liberal Justice Elena Kagan joined the Court in

2010 (Feldman, 2024). Conservative Justices Brett Kavanaugh and Neil Gorsuch voted

alongside the liberal justices in the Allen v. Milligan case, ruling that the district plan of Alabama

was racially gerrymandering. Justices Kavanaugh and Gorsuch’s decision overruled their own

previous decisions in the Rucho v. Common Cause case. In that case, they ruled that the Supreme

Court was not to make political decisions involving gerrymandering (Feldman, 2024). Liberal

justices also routinely defy their own political ideology to join conservative majorities. For

example, Justice Ginsburg dissented in the Jones v. United States case about drug crime

sentencing, alongside conservative Justices Thomas and Scalia.

Dynamics in the courtroom is akin to dynamics in organizations, particularly within the

workings of teams. The nine Supreme Court justices collectively make decisions, with nine

votes weighted equally. One justice alone cannot decide whether a law is constitutional or

unconstitutional. The Court, fundamentally, is a team of people who work together to make

decisions, much like organizational agents convene in teams to make decisions. Power

dynamics not only affect decision-making on the Supreme Court, but they also provide a lens to

understand team decision-making across various organizational functions.

Construal Level, Psychological Distance, and Power

Decision-making, whether in judicial cases or organizations, requires selection and

interpretation of information, a process dependent upon an individual’s mental representation

(Cho, 1996). Construal Level theory argues that this mental representation is determined by

psychological distance, which is the subjective experience that something is close or far away

from oneself (Trope & Liberman, 2010). Construal level refers to the ways that people encode

and retrieve information, which can differ across contexts due to varying mental

representations from abstract and high level to concrete and low level (Smith & Trope, 2006).

As psychological distance increases, we interpret - or construe - information in an abstract way.

As psychological distance decreases, on the other hand, we construe information in a more

detailed or concrete way. Abstract construal is relatively broad and general, with a distal focus.

Detailed construal, in contrast, is relatively concrete, detailed with a proximal focus

(Wiesenfeld et al., 2017).

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Recent literature shows that power can be represented through psychological distance. In a

study priming power, Smith and Trope found that those with power feel distinct, independent

and separate from others, and that those with elevated power are associated with abstraction

across various tasks (Smith & Trope, 2006). In support of the connection between increased

power and increased psychological distance is the study that directly explored power and

distance, finding that elevated power increases social distance from others (Lammers et al.,

2012). More recent evidence supports the notion that power is an antecedent to construal level

(Guinote, 2007; Huang et al., 2011). A study using data from Congress members’ social media

posts on X/Twitter and Facebook found that posts by conservative Congress members

contained more abstract language than liberal Congress people (Jost & Sterling, 2020). In

particular, the results support the idea that liberal-leaning Congress members and their staff

process information with less psychological distance. In another study using real-time quotes

related to 9/11 events from individuals of varying levels of positional power, Magee et al. found

that power, as denoted by psychological distance, is associated with language that is more

abstract, more certain and has more positive valence (Magee et al., 2010). Those who have less

positional power speak with more detail, uncertainty and negative affect.

Power as an antecedent to construal level leads to differing abstraction level, certainty,

temporal distance, and affective valence (Smith & Galinsky, 2010; Magee et al., 2010).

Individuals with less amounts of power, then, will interpret the same situation with less

psychological distance compared to those with more power (Wakslak et al., 2014; Smith &

Trope, 2006). Construal Level Theory posits psychological distance to impact whether

information is understood in more abstract, certain, positive, and future-oriented ways

(Wakslak et al., 2014). This current study follows this framework to explore power dynamics

of the Supreme Court Justices through their construal level, particularly in the level of

abstraction, certainty, valence and future orientation in their written opinions.

Abstraction

Construal level is associated with differing levels of abstraction according to the Construal Level

Theory (Trope & Liberman, 2010). Individuals with high construal levels are characterized as

giving general summaries and big-picture descriptions of an event, whereas low construal

levels are more concrete and detail-oriented (Medin & Ortony, 1989). High construal level

involves broad, open-minded thinking and global-scale interpretations of given information;

low construal levels are characterized as more narrow (Liberman & Foster, 2009). Power is

associated with psychological distance such that those with elevated power are more

psychologically distant compared with those with lower power. Thus, the more psychologically

distant and higher power people are likely to construe information in a more abstract manner.

For example, consider two individuals, a high-up executive and her subordinate, who are called

upon to give a recap of a team meeting. The executive summarizes the main takeaway from the

meeting as the team doing a “good job” due to the consistently high profit stemming from their

marketing tactics and the “bright future” ahead for the team, whereas the subordinate details

the company’s profits increased one hundred forty-seven thousand dollars and recently had an

ad put across four different marketing channels. The subordinate gives the specific statistics

regarding profits and marketing strategies, focusing on present-day details. The executive, on

the other hand, provides a general, broad takeaway, and goes beyond the immediate concrete

details to discuss a future vision. Individuals with high construal level are able to get past the

immediate details and scenarios to talk about the overarching picture (Semin & Fiedler, 1988).

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Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

Extant literature provides support for the association of elevated power and abstraction.

Language is a medium for one’s cognition, thus how one speaks is a behavioral implication of

power (Jacobi & Schweers, 2017). Using real-time quotes of people during the 9/11 crisis,

scholars found that those with power spoke in a more abstract manner during the 9/11 crisis,

while those with lower power spoke with more detail (Magee et al., 2010). Further, abstraction

and details in communication affect perception by message recipients. One study found that

pronoun changes (from “we” to “you”) in the language of political campaigns and slogans

affected recipient’s perception of the candidate, and thus voter behavior. The use of “we” is a

more concrete construal, whereas the word “you” represents a more abstract construal. Results

from the study showed that the concrete message of “we” led to more positive voter response

(Chou & Yeh, 2018). Although not specified in the study, the concrete “we” denotes a closer

psychological distance between the candidate and voter, and thus a less pronounced power

dynamic. That is, the candidate lowers the power level by utilizing the more concrete “we”

rather than the abstract “you.” Using concrete pronouns places the potential voter as proximal

to the candidate, creating a shorter psychological distance (Chou & Yeh, 2018).

Gender power dynamics have long been shown to exist in organizations and beyond, providing

yet more evidence for correlation between power and abstraction. Men compared to women

have more accessibility to and benefit more from access to resources, with control of resources

being a definition of power (Ragins & Sundstrom, 1989; Salancik & Pfeffer, 1974). Thus, men in

general have more power across organizational contexts than women. If men in general have

more power, then their communication is more abstract. Support for this assertion came from

a study looking at the speech of male and female congressional members over a 6-year period.

The authors found that female congressional members from both the Senate and the House of

Representatives spoke more concretely than the male members, who spoke in a more abstract

manner (Joshi et al., 2020).

Certainty

Certainty is defined as levels of confidence about a given scenario and accurately predicting

what would happen next (Smith & Ellsworth, 1985). Individuals with more power make

decisions with higher certainty than individuals with lower levels of psychological distance

(Nussbaum et al., 2006). Individuals who exhibit differential amounts of certainty are

discovered to process information more or less systematically (Weary & Jacobson, 1997). For

example, individuals who have less certainty behave with more attention, detail-orientation,

and higher reasoning than people with higher certainty (Weary & Jacobson, 1997). Tiendens

and Linton (2001) found that individuals make predictions with greater certainty if they

reported being in mental states of happiness and satisfaction than when under states of hope. I

assert that a similar phenomenon occurs in the frame of Construal Level Theory (CLT). Higher

psychological distance predicts construals that tend to exclude details beyond the surface level

and increase in certainty. This leads to the tenet of CLT that higher levels of power lead to more

abstraction, and the corollary that lower levels of power lead to more details (Nussbaum et al.,

2006). Further, CLT is consistent with Weary and Jacobsens’ 1997 findings that individuals with

higher power interpret a situation with more certainty, which is correlated with less attention

to detail-oriented reasoning. For example, a CEO with legitimate power will include fewer

details in her annual shareholder report and address the audience with more certainty,

whereas a low-level employee would give more details about revenue, salaries, and profits with

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less certainty in a typical team meeting. Thus, a larger psychological distance contributes to

both certainty and abstraction of high-powered individuals due to a heightened power.

Valence (Positive/Negative Affect)

CLT theorizes that the valence, or the degree of positive or negative affect, of an individual

depends on how he or she interprets information. According to CLT, valence depends on

psychological distance and, subsequently, abstraction, so that how abstractly or concretely an

individual understands a given situation impacts how positively or negatively they see it

(Liberman & Trope, 2008; Magee et al., 2010). Magee et al. found that those with higher power

spoke with more positive valence, and those with lower power spoke with more negative

valence, even after controlling for temporal distance, geographic distance of the speaker, and

motivation for impression management (Magee et al., 2010).

In the context of the Supreme Court, a justice with high construal level will construe a situation

more generally, leading to a more positive interpretation of information and thus exuding more

positive affect in his or her cognition. A justice with low construal level focuses on the details,

leading to a more negative interpretation of information and thus a more negative affect in his

or her cognition. Therefore, justices who communicate with more positive affect will have a

larger psychological distance and more power.

Temporal Distance (Future or Present-Orientation)

Power affects one’s temporal distance, or the degree of future or present orientation. Temporal

distance is positively correlated to interpreting events more broadly and with its relevance to

achieving a goal instead of noting specific details. Individuals with low construal levels use

concrete language to describe situations in a nearer time frame, and thus are more present- oriented (Trope & Liberman, 2003). In addition, high psychological distance leads to a

preference for distant-future situations due to high construal levels being used to represent

distant-future events, whereas low construal individuals put more value on near-future events

(Trope & Liberman, 2003). Temporal distance is shown to influence judgment and decision- making because of how individuals interpret future events. Individuals with a future

orientation represent an event with more abstract details, and individuals with a present

orientation constitute an event with more concrete details. Liberman, Sagristano, and Trope

(2002) tested temporal distance by having participants visualize different scenarios (i.e. a

vacation to visit a friend in New York and going camping), and sort a batch of items into as many

groups as possible. It was found that the participants imagined a scenario in the far-future with

higher degrees of abstraction, and they grouped the items into fewer groups (Liberman et al.,

2002). When applied to the Supreme Court, temporal distance impacts how abstractly a justice

writes their opinions on cases. An opinion with a high construal level would include vague

details, and focus on the future. Individuals interpret information with higher degrees of

abstraction correlated with high construal levels to describe situations in the distant future.

Justices with more power, then, are more future oriented while justices with lower power are

more present focused.

Discerning Power Through Tenure, Gender, Political Ideology and Type on Opinions

Gender, political ideology, tenure, and type of opinion are posited to affect power dynamics in

the Supreme Court. Specifically, I hypothesize that these four factors have an effect on the

proxies of power - abstraction, certainty, positive affect, and future orientation. The hypotheses

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Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

predict the level of abstraction, certainty, valence, and future orientation of the Supreme Court

Justices in written opinions.

Tenure

Justices are nominated and confirmed for the Supreme Court at different times, leading to a

wide variance for tenure on the High Court. The longest serving justice, Clarence Thomas, has

been on the Court for thirty-two years. The most junior justice, Ketanji Brown Jackson, has been

on the High Court for only two years. Newer justices are often tasked with fewer and less

important opinions than justices with longer tenure (Slotnick, 1979). Further, differences in

experience may contribute to dynamics regarding authority and power. The justices with the

most time on the Supreme Court may be more acclimatized to the inner workings of the Court

function, and have higher levels of confidence that lead them to interpret information more

abstractly. Recent research shows that differences in tenure affect how often justices interrupt

each other during oral arguments and the number of words each justice speaks between

justices in their first two terms, with more interruption and more words spoken by senior

justices (Houston et al., 2021). However, extant research does not explore whether the

language is more concrete or abstract, or whether abstract and concrete language impacts

Supreme Court opinions. Justices with longer tenure on the court should have more power and

thus communicate with more abstraction, certainty, positive affect and future oriented than

more junior justices. The following hypotheses are proposed:

• Hypothesis 1a. Tenure of the justice is positively correlated with the degree of

abstraction of written opinions.

• Hypothesis 1b. Tenure of the justice is positively correlated with the degree of certainty

of written opinions.

• Hypothesis 1c. Tenure of the justice positively correlated with the degree of positive

affect of written opinions.

• Hypothesis 1d. Tenure of the justice is positively correlated with the degree of future

orientation of written opinions.

Political Ideology

Political ideology, or the set of political beliefs that often lean conservative or liberal, of the

justice will impact how he or she communicates. The majority of the Supreme Court is held by

conservative justices in the current court. There are six conservative justices on the Court, and

three liberal justices. Supreme Court decisions have become increasingly polarized, with the

rate of justices voting along ideological lines increasing from 1953 to 2021 (Thomson-DeVeaux

& Bronner, 2022). The political ideology of each Supreme Court justice is measured using the

Martin-Quinn scores of political ideology (Farnsworth, 2007; Epstein et al., 2012). The scores

range from -6 being the most liberally-oriented justice, and +6 being the most conservative- oriented justices. While the Court has a 6-3 conservative majority, the majority of the American

public is liberal and moderate, a stark contrast from the political climate of the Court (Saad,

2022). The political climate of the American public has become more liberal in the last 50 years,

according to a 2021 study that analyzed citizen attitudes of 282 social variables (Hout, 2021).

The Court becoming increasingly conservative showcases a misalignment with the citizens.

Citizen support drives political success, and the American public aligns more with the liberal

justices’ political ideology than the overall political climate of the Supreme Court (Trumbull,

2012). In other words, the political ideology of the masses dictates the powerful on the Court,

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Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

or the most senior justice. Multiple dissenting opinions can be written by different justices who

are in dissent. A fourth type of opinion - per curiam - are decisions made on the entire court

rather than specific justices. These types of opinions are not associated with particular authors,

and thus are omitted in this study.

I propose that the power level is dependent on the type of opinion. Majority and concurring

opinions are posited to exhibit the most power, as these opinions reflect decisions on the

“winning” side. The Supreme Court decisions have the final say on a particular case, with the

enforcement of law subsequently being carried out using the logic of the majority and

concurring opinions. Concurring opinions still belong on the “winning” side though they differ

in their decision logic. Concurring opinions, thus, also evince power as they both win and are

given a platform to express divergent opinions that are followed by law. Dissenting opinions

are written by the justices on the “losing” side. While majority and concurring opinions dictate

how a law should be followed, dissenting opinions only allow for statements of disagreement

with the ruling without any stipulation of how a law stands. Dissenting opinions, thus, are often

rallying cries against the winning decision without much “teeth” in the law of the land.

Dissenting opinions are posited to have the lowest power level. I propose the following:

• Hypothesis 4a. The majority and concurring opinions are more abstract than dissenting

opinions.

• Hypothesis 4b. The majority and concurring opinions are more certain than dissenting

opinions.

• Hypothesis 4c. The majority and concurring opinions are written with more positive

affect than dissenting opinions.

• Hypothesis 4d. The majority and concurring opinions are written with more positive

affect than dissenting opinions.

METHODOLOGY

The dataset consists of written opinions from the Supreme Court completed after oral

argument from a three-year period with terms in 2020, 2021, and 2022. The Supreme Court

opinions data was taken from the official Supreme Court government website, and the opinions

are in slip opinion format. This format is the as-filed versions of opinions and are certified for

publication without enhancement editing or correction. The use of written opinions has the

ability to determine dynamics within the Supreme Court because the language each opinion

uses is a representation of the cognition and thinking of the justice. The Supreme Court has a

profound impact on all matters from civil rights to the outcome of elections, with the 2024

elections being influenced by their recent decision to rule that former presidents being

prosecuted for matters central to their office unconstitutional in the Trump v. United States case.

The justice’s written opinion on the Trump v. United States case is a representation of their oral

argument, and is further backed by their name on federal documents. Supreme Court opinions

are public record, and any citizen may access it. Analyzing Supreme Court opinions has the

ability to predict future decisions using easily accessible resources. I collected 161 majority

opinions, 127 concurring opinions, and 137 dissenting opinions. The 25 per curiam opinions

are omitted because the authors of the opinions are anonymous. The total number of opinions

analyzed is 425. I utilized Linguistic Inquiry and Word Count (LIWC) computerized text analysis

software, which was created by Pennebacker, Booth, and Francis, to analyze the Supreme Court

written opinions (Pennebacker et al., 2007). LIWC is a tested and reliable dictionary for text

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analysis (Joshi et al., 2020; McHaney et al., 2018; Ballingrud, 2021). I compiled measures of

abstraction, certainty, valence, and temporal distance from the LIWC dictionary, the absolutist

dictionary, and the General Inquirer dictionary. The LIWC dictionary was used to measure

valence and temporal distance. Valence was measured with the LIWC value “tone_pos”, and the

dictionary value included 1,020 words for positive tone, such as “good”, "well”, "new”, and

“love” (Boyd et al., 2022). Temporal distance was measured with the LIWC dictionary value

“future”, and the dictionary includes 138 words that measure future focus in a text, such as

“will”, “going to”, “have to”, and “may” (Boyd et al., 2022). The measure for certainty comes from

the absolutist dictionary compiled by Al-Mosaiwi and Johnstone. The absolutist dictionary uses

LIWC text software to calculate the percent frequency of certain words used to measure how

absolute and certain a given text is (Al-Mosaiwi & Johnstone, 2018). The General Inquirer

dictionary was used to give a measure for abstract thinking. Seih, Beier, and Pennebacker in

2017 use the General Inquirer Linguistic Category Model (LCM) dictionary to measure social

cognition in language, uses verbs to measure abstraction. My paper uses the “abs@” dictionary

value to measure abstraction, which includes 185 words that reflect abstract vocabulary such

as “ability”, “generalization”, and “glory”. The General Inquirer dictionary is a combination of

two different dictionaries: the Harvard IV dictionary and the Lasswell value dictionary.

Tenure of each justice is the number of years on the court at the time of the opinion publication;

gender is a binary scale for male and female; political ideology is measured by the justice’s

Martin-Quinn score of political ideology (Farnsworth, 2007); and the type of opinion is a

categorical variable for majority, concurring and dissenting opinions (Bonica & Sen, 2021;

Miller, 2022).

The control variables are the author and year the opinion was written. The Supreme Court

deliberates a varying number of cases each year, so there may be more opinions in one year

than another. The authors may have different writing styles that contribute to the language of

the opinion. Additionally, most Supreme Court justices have their own set of clerks that help

write the opinions. Controlling for these two variables demonstrate additional effects on power

outside of who writes the opinions and when the cases were deliberated.

RESULTS

Table I shows the descriptive statistics of independent, dependent and control variables and

the intercorrelations. Tables II through V summarize results from multivariate linear

regression analysis. The relationship between abstraction and tenure on the Court (H1a) shows

to be statistically significant. However, tenure is negatively correlated to abstraction,

suggesting that the less time a justice serves en banc, the more abstract their language. Thus,

hypothesis 1a is not supported, and further shows the opposite relationship as predicted with

shorter tenure correlated with more abstraction. The relationship between certainty and

tenure on the Court (H1b) does not appear to be statistically significant, making hypothesis 1b

invalid. The relationship between positive affect and tenure on Court is statistically significant.

However, tenure and positive affect (H1c) show to be negatively correlated such that the less

experience a justice has on the Court, the higher degree of positive affect they speak with.

Hypothesis 1c is supported in the opposite predicted direction. The relationship between

future-orientation and tenure (H1d) does not show to be statistically significant, and

hypothesis 1d is not supported.

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Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

Table I: Descriptive statistics and intercorrelations

Mean SD 1 2 3 4 5 6 7 8 9

1. Author 5.64 3.13 -

2. Year 2020.98 0.81 0.08 -

3. Tenure 13.04 9.98 -0.10* -0.09 -

4. Political Ideology 0.18 2.31 0.25** 0.01 0.21** -

5. Gender 0.32 0.47 0.002 0.08 -0.90* -0.63** -

6. Type of opinion 0.93 0.84 -.01 -0.01 0.10* -.004 0.01 -

7. Abstraction 1.02 0.57 -0.05 0.001 -0.07 0.06 -0.01 0.16* -

8. Certainty 0.48 0.23 0.02** -0.09 -0.03 0.04 -0.10* 0.12* -0.03 -

9. Positive affect 1.53 0.77 -0.03 -0.08 -0.10* 0.006 -0.05 0.12* 0.47** 0.004 -

10. Future orientation 0.61 0.41 -0.01 -0.07 -0.07 -0.12* 0.03 0.03 -0.10* 0.070 0.02

* p < 0.05., ** p < 0.01.

Table II: Results from multivariate linear regression for Abstraction

Non-standardized coefficients Standardized Coefficients

B SE Beta t p R

2

Model 1 0.002

Author -0.01 0.01 -0.04 -0.83 0.41

Year -0.003 0.03 -0.004 -0.07 0.94

Constant 6.14 69.15 - 0.09 0.93

Model 2 0.04

Author -0.02 0.01 -0.08 -1.60 0.11

Year -0.01 0.03 -0.01 -0.20 0.84

Constant 14.85 68.46 - 0.22 0.83

Tenure -0.01 0.003 -0.11 -2.12 0.04*

Political Ideology 0.03 0.02 0.13 1.92 0.06

Gender 0.03 0.08 0.02 0.36 0.72

Type of opinion 0.11 0.03 0.16 3.40 <0.001**

* p < 0.05., ** p < 0.01.

Table III: Results from multivariate linear regression for certainty

Non-standardized coefficients Standardized Coefficients

B SE Beta t p R

2

Model 1 0.06

Author 0.02 0.004 0.24 4.99 <0.01**

Year -0.03 -0.01 -0.11 -2.37 0.02*

Constant 65.85 27.61 - 2.39 0.02*

Model 2 0.09

Author 0.02 0.004 0.26 5.30 <0.01**

Year -0.03 0.01 -0.10 -2.17 0.03*

Constant 59.69 27.36 - 2.18 0.03*

Tenure -0.002 0.001 -0.08 -1.61 0.11

Political Ideology -0.01 0.01 -0.13 -2.06 0.04*

Gender -0.11 0.03 -0.21 -3.27 <0.01**

Type of opinion 0.03 0.01 0.12 2.55 0.01**

* p < 0.05., ** p < 0.01.

Table IV: Results from multivariate linear regression for positive affect

Non-standardized coefficients Standardized Coefficients

B SE Beta t p R

2

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Model 1 0.002

Author -0.01 0.01 -0.02 -0.50 0.62

Year -0.07 0.05 -0.08 -1.56 0.12

Constant 146.67 93.32 - 1.57 0.12

Model 2 0.03

Author -0.01 0.01 -0.03 -0.64 0.53

Year -0.07 0.05 -0.08 -1.61 0.11

Constant 150.55 92.44 - 1.63 0.10

Tenure -0.01 0.004 -0.17 -3.25 <0.01**

Political Ideology -0.01 0.02 -0.02 -0.37 0.71

Gender -0.21 -0.11 -0.13 -1.94 0.05*

Type of opinion 0.12 0.04 0.13 2.72 <0.01**

* p < 0.05., ** p < 0.01.

Table V: Results from multivariate linear regression for future orientation

Non-standardized coefficients Standardized Coefficients

B SE Beta t p R

2

Model 1 0.01

Author -0.001 0.01 -0.01 -0.10 0.92

Year -0.04 0.03 -0.07 -1.40 0.16

Constant 70.34 49.78 - 1.41 0.16

Model 2 0.03

Author 0.004 0.01 0.03 0.64 0.52

Year -0.04 0.03 -0.07 -1.40 0.16

Constant 70.03 49.73 - 1.41 0.16

Tenure -0.003 0.002 -0.08 -1.53 0.13

Political Ideology -0.03 0.01 -0.18 -2.69 <0.01**

Gender -0.10 0.06 -0.11 -1.63 0.10

Type of opinion 0.01 0.02 0.2 0.48 0.63

* p < 0.05., ** p < 0.01.

The relationship between abstraction and political ideology (H2a) is not significant,

invalidating hypothesis 2a. The relationship between certainty and political ideology (H2b) is

significant, showing that liberal justices communicate with more certainty. Thus, hypothesis 2b

is supported. The relationship between positive affect and political ideology (H2c) is not

statistically significant. Hypothesis 2c is not supported. The relationship between future- orientation and political ideology (H2d) is statistically significant. The results show future- orientation and political ideology to be negatively correlated such that, in accordance with the

Martin-Quinn scores of judicial ideology, justices that lean more liberal use language with

higher degrees of future orientation than conservative justices, which supports hypothesis 2d.

The relationship between abstraction and gender (H3a) is not statistically significant, not

supporting hypothesis 3a. The relationship between certainty and gender (H3b) is statistically

significant. The findings show that men communicate with more certainty than women,

supporting hypothesis 3b. The relationship between positive affect and gender (H3c) is

marginally significant, with men expressing more positive affect than women. Hypothesis 3c is

partially supported as men trend toward more certain language. The relationship between

future-orientation and gender (H3d) is statistically significant. Hypothesis 3d is not supported.

Results show support for the opposite of three out of the four hypotheses for type of opinion.

The relationship between abstraction and type of opinion (H4a) is statistically significant for

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Advances in Social Sciences Research Journal (ASSRJ) Vol. 11, Issue 8, August-2024

Services for Science and Education – United Kingdom

et al., 2021; Hagle, 1993). However, justices such as Antonin Scalia have shown to defy these

freshmen effects by siding immediately with one ideological side, and therefore not occupying

a pivotal role in being the justice vote that decides a case (Rubin & Malone, 1988). Numerous

studies have found a positive correlation between power and risk-taking (Anderson & Galinsky,

2006; Lewellyn & Muller-Kahle, 2012). One study found that CEOs with short career horizons

(hence shorter time to retirement) and long tenure adopt strategies with less risk than CEOs

with shorter tenure (Romano et al., 2019), suggesting that the more senior CEOs take on lower

the risk taking. As less risk taking is linked to lower power (Magee et al., 2010), a longer tenure

may signal lower power, and a shorter tenure leading to higher power, as results in this study

support.

Executives and Supreme Court justices both display inherent similarities insofar as CEOs

embody the highest position at a corporation, and Supreme Court justices are the highest Court

in the United States; no Court can make a decision that overrides the ruling of the Supreme

Court. Further, the decisions a CEO makes affect the lives of the employees and other

stakeholders, which is akin to the rulings of the Supreme Court having a substantial influence

on the lives of everyday Americans. Justices who are newer on the Court are more likely to take

more risk in their written opinions, and thus display a higher level of power. More junior

justices, then, may be more likely to deploy riskier strategies compared to more senior justices.

Political ideology of the justices has an effect on power, with more liberal justices exhibiting

more power than more conservative justices. Specifically, a more liberal justice communicates

with more future orientation and certainty, with the data trending toward abstraction. This

finding may seem counterintuitive, but this current work supports the notion that public

sentiment may contribute to the power level of an entity. Rather than simply examining the

composition of the entity, the alignment of beliefs between the masses and the entity should be

further explored. Recent scholarly work found that public sentiment of political ideology drives

the power of politicians who share that political ideology (Trumbull, 2012; SØnderland et al.,

2017). Trumbull (2012) highlights the significance of positive support from the American

public for the Supreme Court, stating that mass support of certain political ideology from

citizens spearheads political success, even if the group representing said political ideology is

not necessarily the most well-organized or well-known. Within the last decade, three of the four

most recent justices added to the Court lean conservative. Law schools, a step in the pipeline to

becoming a Supreme Court Justice, are also becoming increasingly conservative, with

Conservative law professors being 62% more likely to have been Supreme Court law clerks

(Conklin, 2023). A poll taken in 2022 reveals that liberal and moderate ideologies make up a

larger portion of the collective American political ideology than conservative ideologies (Saad,

2022). As such, the overall political sentiment of the United States does not align with the

political leaning of the Supreme Court. The justices who lean liberally on the Martin-Quinn scale

of justice ideology (Justices Kagan, Sotomayor, Breyer, and Jackson) and dissent from the

overarching political ideology of the Court, identify closer with the masses. Even though justices

such as Chief Justice Roberts are closer to moderate in the middle in the spectrum of Martin- Quinn scores, their career voting pattern shows their solidly conservative ideology (Belkin et

al., 2017), which again deviates from the collective political ideology of American society.

Liberal-leaning justices who are in the minority on the Court represent the majority of the

public’s sentiment, deriving power from “strength in numbers.” Thus, liberal justices have more

power on the Court than do conservative justices. The prevailing ideology of the masses may

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237

Chang, M. L. (2024). Behind the Bench: Power Dynamics in the Supreme Court of the United States Through the Lens of Construal Level. Advances

in Social Sciences Research Journal, 11(8). 222-239.

URL: http://dx.doi.org/10.14738/assrj.118.17423

Feldman, A. (2024, April 1). Charting the Justices Decisions Cutting Across Ideological Lines [Blog]. Empirical

SCOTUS. https://empiricalscotus.com/2024/04/01/charting-the-justices-decisions-cutting-across-ideological- lines/

Feldman, A., & Gill, R. D. (2019). Power Dynamics in Supreme Court Oral Arguments: The Relationship between

Gender and Justice-to-Justice Interruptions. Justice System Journal, 40(3), 173–195.

https://doi.org/10.1080/0098261X.2019.1637309

Gleason, S. A., Jones, J. J., & McBean, J. R. (2019). The Role of Gender Norms in Judicial Decision-Making at the U.S.

Supreme Court: The Case of Male and Female Justices. American Politics Research, 47(3), 494–529.

https://doi.org/10.1177/1532673X18766466

Guinote, A. (2007). Power and Goal Pursuit. Personality and Social Psychology Bulletin, 33(8), 1076–1087.

https://doi.org/10.1177/0146167207301011

Hagle, T. M. (1993). “Freshman Effects” for Supreme Court Justices. American Journal of Political Science, 37(4),

1142. https://doi.org/10.2307/2111547

Houston, R., Li, S., & Johnson, T. R. (2021). Learning to Speak Up: Acclimation Effects and Supreme Court Oral

Argument. Justice System Journal, 42(2), 115–129. https://doi.org/10.1080/0098261X.2021.1881668

Hout, M. (2021). America’s Liberal Social Climate and Trends. Public Opinion Quarterly, 85(4), 1009–1049.

https://doi.org/10.1093/poq/nfab061

Huang, L., Galinsky, A. D., Gruenfeld, D. H., & Guillory, L. E. (2011). Powerful postures versus powerful roles:

Which is the proximate correlate of thought and behavior? Psychological science, 22(1), 95-102.

Hunt, C. V., Kim, A., Borgida, E., & Chaiken, S. (2010). Revisiting the self-interest versus values debate: The role of

temporal perspective. Journal of Experimental Social Psychology, 46(6), 1155–1158.

https://doi.org/10.1016/j.jesp.2010.05.004

Jacobi, T., & Sag, M. (2009). Taking the Measure of Ideology: Empirically Measuring Supreme Court Cases. 98.

Jacobi, T., & Schweers, D. (2017). Justice, interrupted: The effect of gender, ideology, and seniority at Supreme

Court oral arguments. Va. L. Rev., 103, 1379.

Johnson-Grey, K. M., Boghrati, R., Wakslak, C. J., & Dehghani, M. (2020). Measuring Abstract Mind-Sets Through

Syntax: Automating the Linguistic Category Model. Social Psychological and Personality Science, 11(2), 217–225.

https://doi.org/10.1177/1948550619848004

Jones, J. M. (2023, August 2). Supreme Court Approval Holds at Record Low.

https://news.gallup.com/poll/509234/supreme-court-approval-holds-record-low.aspx

Joshi, P. D., Wakslak, C. J., Appel, G., & Huang, L. (2020). Gender differences in communicative abstraction. Journal

of Personality and Social Psychology, 118(3), 417–435. https://doi.org/10.1037/pspa0000177

Jost, J. T., & Sterling, J. (2020). The language of politics: Ideological differences in congressional communication

on social media and the floor of Congress. Social Influence, 15(2–4), 80–103.

https://doi.org/10.1080/15534510.2020.1871403

Kwon, O. (2014). Beyond affective valence: The effect of different emotions on cognitive processing and persuasion

from a certainty-congruent approach. http://hdl.handle.net/2152/28310

Lammers, J., Galinsky, A. D., Gordijn, E. H., & Otten, S. (2012). Power Increases Social Distance. Social

Psychological and Personality Science, 3(3), 282–290. https://doi.org/10.1177/1948550611418679