Final Paper

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Running Head: FACEBOOK CONSENSUS 1

FACEBOOK CONSENSUS 28

Facebook Consensus

Professor’s Name

Student’s Name

Course Title

Date

Abstract

The social influence as well as the beliefs of human being are copied by the individuals who are directly close to them. The behavior change sometimes is involuntary which comes without the intention of the changing person. The current study analyzed a social media post from Facebook on charity which entailed fundraising as well as the comments of the friends of the individual who had posted it. In the second study, in the same analysis of the first study was done, however there were only two conditions that were included which were low and high unlike the first were medium was inclusive. The second study specifically concentrated on the charitableness independent variable to deeply evaluate whether the extent in which the participants would involve themselves in an honorable course of giving out to the vulnerable individuals in the society. In the first study, there were one hundred and forty four participants with seventy five male and sixty nine female. In the second study, there were one hundred and seven participants with fifty two being male and fifty five being female. It was found that the level of income determines the caring and habitability level. This results indicates that social class is always the determinant of an individual behavior.

Facebook Consensus

The distinctive result of social influence is that our beliefs as well as our behaviors become more similar to the people who are around us. In most times the change happens in an impulsive and involuntary sense happens without an apparent intention of one person changing the other (Hale, & Hamilton, 2016). It is said that imitation is a flattery form and people would therefore like people who imitate them.

According to Hodges (2014), human beings have an innate similarity for coordination and conformity. This is very crucial to culture, groups as well as to dialogical relationships. It is also true that the dynamics of cultures, groups, and relationships depend on tendencies for divergence, differentiation, and dissenting. According to the authors, there is a remarkable convergent account of an intricate relationship of divergence and convergence in various contexts. (be a bit more clear sentence does not make sense) This means that there is a conversational alignment. Imitation, mimicking, and synchrony among others all reveal a complex pattern of selectivity and fidelity which has now and then continued to surprise researchers. (Same here..instead of using more complex words just say what you mean)

Similarly, Hodges, (2014) believes that people are more likely to act like social personified dialogical partners learning how to act in ways that favor them as well as their ecosystem. The hypothesis being tested is that understanding is an ongoing activity to seek depth and intricacy in our knowing and doing. Children have been found for instance more likely to copy casually extraneous actions that an adult performs. However, it has been found that people will imitate things partially and that it is far too selective to some form of involuntary motor imitation. The people, therefore, do not follow others completely but the rater act selectively and discreetly to be loyal to the world.

In another article, (De Freitas, et al., 2019) examined the reason people respect anonymous charitable giving and whether and how the attributions of the donor’ identity or the beneficiary are affected when one is revealed to the other. In trying to find out why people are very concerned regarding the anonymity of the donor, credit or concealed benefits, it is found out that people differentiate anonymous from public gifts and they also appear to be finer distinctions basing on their mutual understanding of the donor and the beneficiary. (this sentence reads long and the “it is found” part is awkward)

The author has found out that charitability judgments are fashioned by psychological systems for the choice of the best cooperative partners. This is to show that people have cognitive systems that they use to detect and to keep trail of signs indicating a character for generosity which includes how a donor gives their donations. This article hypothesis that the judgment of people about the charitability of a donor falls into a hierarchy since our righteousness intuitions are related to assessments of corporative partners. “The more the donors can expect to receive favors in return through either direct or indirect reciprocity, the less charitable they appear” (De Freitas, et al., 2019).

In the article “ motivation to support charity linked events after exposure to Facebook appeals”, the authors looks at the effect of Facebook on maintaining or solidifying existing offline relationships to allow people in the development of a public profile and to participate psychologically with the people they are able to share connections (Schattke, Ferguson, & Paulin, 2018). Social identity theory is very crucial in explaining the motivation for pro-social theory. Social identification for instance is found to every critical in participation in social movements.

According to the author of this article, there is a very big correlation between online and offline support intentions. Women who were involved in this study have been found to conform, in a way that suggests that they are empathetic, selfless, and generous as when compared to men. The study supports the hypothesis that the greater the emotional identification with the cause is, the strong the support is in both offline and online events. The human being will often mimic and imitate others without them knowing. Mimicry has social benefits as it can help in building rapport between different groups of people or between two people. Copying others can broadly range from a non-conscious process to a conscious process (Genschow, et al., 2018).

In conclusion, people may sometimes end up making choices that they would not have otherwise made without them knowing as people tend to mimic the choices and behaviors of other people. Similarly, some people will may want to do the opposite of the others just to show that they are unique that the others by making a different choice. These social cues are everywhere from face to face to online interactions which makes it difficult to escape what others are doing on our own choice.

Methods Study One

Participants

One hundred and forty-four participants in the sample. Of these 75 were males (51%) and 69 were female (46%). Sample ages ranged from 18 to 72 (M = 24.84, SD = 8.48). This included 29% Caucasian (N = 44), 45% Hispanic (N = 67), 1% Native Indian (N = 2), 11% African American (N = 17), 4% Asian American (N = 7), and 6% of participants reporting “Other” (N =10). See Appendix Table 1.

Materials and procedures

As per the informed consent guidelines, the potential respondents for the survey were made aware of the advantages of taking part in the research as well as the risks that come with this action prior to being given the material for the research. The participants who agreed to be part of the research were issued with a document containing five sections. They would analyze a Facebook post on a charity event and thus respond to the survey based on their perspectives. The survey begins by presenting a post from Facebook about a fundraising event and a few of the comments given by the friends of the individual who has posted it.

After reviewing the post made by Michael Benzjian appealing to the well-wishers to take part in his birthday fundraiser to help children in need, the student would be required to answer the part II questions assuming they had been given $100. This part requires then to answer how much amount they would donate to the charity, how much of the available money would other individuals donate, as well as answer the amount of their time instead of money would dedicate to charity.

Part III of the survey requires the participants to rate the post regarding the page itself and Michael. They would use their perspective to give ratings (Strongly Disagree 1 to Strongly Agree 6) of the various conclusions which can be made from this posting. Part IV requires participants to fill their personal information such as gender, age, race/ethnicity, first language, if they are a student at FIU, and their relationship status. The final part, part V, asks the participants to make their judgement based from what they remembered reading in the post, how much they think Michael’s friends contributed.

Results Study One

Using high, medium and low, the survey conditions, as the variables that are independent and whether the participant would contribute the given money as the dependent variable, we were able to determine that 44 participants would give 83.0 % , 3 people would give 5.7 % whereas 6 people would contribute 11.3 %. The Phi value showed a minimal effect which indicates that most people would be willing to give less than what they have. See Appendix Table 2. The one-way ANOVA test which is our key analysis also shows the differences existing between the dependent and independent variables are not significant and gives (F = 12.12). This is likely to suggest that the money that one has is not really a determinant of their capability to donate and help other. The largest group of participants were willing to donate the lowest money of the high group (M = 12.38, SD = 2.51). Similarly, the participants willing to give medium amount to donation would largely give the lowest amount in this category (M = 6.78, SD = 2.71779). See Appendix Table 3.

The results of the part III of the survey are that most participants indicated lower (M = 2.90) and higher (M = 2.22) ratings for the survey on whether the friends of Michael are stingy. A huge group indicates their viewpoints which display that the general ratings made by these individuals state that the donations made are very low and thus these individuals are only giving a small percentage of what they have. There is a very small significance difference indicated (Sig = 0.006, F = 5.37) between groups meaning that the donations considered high, low and medium has very limited differences. Finally, we ran multiple comparisons to determine the perceptions of people regarding donating money and the availability of money. See Appendix Table 4.

Discussion Study One

We made predictions that the respondents would be highly likely to donate more when they had money available and this led to their perception of classifying the people involved in this scenario as stingy. In addition, most of them gave low rating to statement displaying that Michael’s friends were caring since their contributions are very low. Considering that this decision of helping children is a noble quest, most participants seemed willing to give up most of the income they could get for the operations. Consequently, it was forecasted that individuals who were willing to give up less of the money they had to donate to children in need, would be less judgment all and would rate low ratings to statements such as friend of Michael are stingy while rating highly the statements indicating that Michael’s friends are caring. The findings support these predictions as most individuals who preferred to donate less stated that the friends of Michael are caring and are in no way stingy. The individuals who ought to donate an average amount of the $100 mostly were indifferent in that some thought that the individuals in the scenario are stingy and caring while others thought they were not.

The main reason for variance in the results is the difference in how participants viewed the matter at hand. Some thought that it was far better to give up money and help a child out there whereas had a viewpoint that it would be crucial to give up less and save more for themselves. The personal opinions of people on various matters especially when it comes to kindness and generosity could have created the gap between their capabilities to donate.

Study Two

Our beliefs is what influences the distinctive outcomes of social influence. This is also attributed to the fact that our behaviors tend to be close to those who tends to be close to us. This change usually tend to occur voluntarily without the intention of the person changing intending to change (Hale, & Hamilton, 2016). From research, it has been revealed that human being tend to have an inmate similarity for coordination as well as conformity. This is usually very important to culture, groups as well as to dialogical relationships (Hodges, 2014). This is specifically true that the dynamics of cultures, groups, as well as relationships do depend on tendencies for divergence, differentiation, as well as dissenting. From research, there is a remarkable convergent account of an intricate relationship of divergence and convergence in various contexts. This means that there is a conversational alignment. Imitation, mimicking, and synchrony among others all reveal a complex pattern of selectivity and fidelity which has now and then continued to surprise many researchers.

According to Hodges (2014), there is a belief that individuals are most likely to act like social personified dialogical partners learning how to act in ways which tends to favor them as well as their habitat? Therefore in this case, the hypothesis that is in test is that understanding tends to be an ongoing operation which tends to seek deeper as well as intricacy in our knowing as well as doing. For instance, the children have been found being more likely to copy casually extraneous actions which an adult do perform. But it has been revealed that individuals will tend to imitate things partially and that it is far too selective to some form of involuntary motor imitation. The people, therefore, do not follow others completely but the rater act selectively and discreetly to be loyal to the world.

According to De Freitas, et al. 2019, there is an indication as to why individuals tend to be anonymous charitable giving as well as whether and how the attributions of the donor identity or the beneficiary are affected when one is revealed to the other. In trying to find out why people are very concerned regarding the anonymity of the donor, credit or concealed benefits, it is found out that people differentiate anonymous from public gifts and they also appear to be finer distinctions basing on their mutual understanding of the donor and the beneficiary.

The author has found out that habitability judgments are fashioned by psychological systems for the choice of the best cooperative partners. This is to show that people have cognitive systems that they use to detect and to keep trail of signs indicating a character for generosity which includes how a donor gives their donations. This article hypothesis that the judgment of people about the habitability of a donor falls into a hierarchy since our righteousness intuitions are related to assessments of corporative partners. “The more the donors can expect to receive favors in return through either direct or indirect reciprocity, the less charitable they appear” (De Freitas, et al., 2019).

In the article “ motivation to support charity linked events after exposure to Facebook appeals”, the authors looks at the effect of Facebook on maintaining or solidifying existing offline relationships to allow people in the development of a public profile and to participate psychologically with the people they are able to share connections (Schattke, Ferguson, & Paulin, 2018). Social identity theory is very crucial in explaining the motivation for pro-social theory. Social identification for instance is found to every critical in participation in social movements.

According to the author of this article, there is a very big correlation between online and offline support intentions. Women who were involved in this study have been found to conform, in a way that suggests that they are empathetic, selfless, and generous as when compared to men. The study supports the hypothesis that the greater the emotional identification with the cause is, the strong the support is in both offline and online events. The human being will often mimic and imitate others without them knowing. Mimicry has social benefits as it can help in building rapport between different groups of people or between two people. Copying others can broadly range from a non-conscious process to a conscious process (Genschow, et al., 2018).

In conclusion, people may sometimes end up making choices that they would not have otherwise made without them knowing as people tend to mimic the choices and behaviors of other people. Similarly, some people will may want to do the opposite of the others just to show that they are unique that the others by making a different choice. These social cues are everywhere from face to face to online interactions which makes it difficult to escape what others are doing on our own choices.

Methods Study Two

Participants

One hundred and seven participants in the new sample for study two, 74% (n = 144) were recruited to participate. Out of the 107 participants, 49% (n = 52) were male and 51% (n =55) were female. Participants ages ranged from 18 to 70 (M = 24.95, SD = 9.13). The sample population consisted 34% Caucasian (N = 36), 49% Hispanic (N = 52), 2% Native Indian (N = 2), 8% African American (N = 17), 4% Asian American (N = 5), and 3% of participants reporting “Other” (N =3). See Appendix Table 6

Materials and Procedure

In the second research, a group of 107 individuals was selected from the prior sample group used in the initial research to represent the sample number needed. The first study had necessitated the participants to read the Facebook post that is being assessed; the posting involves a gentleman named Michael who requests that his followers to contribute to "Unlikelyheroes," and his friends' replies commit to assist in the donation. In the research, we included only two conditions: high and low, and the medium state was eliminated because it does not have much difference with the top state in the first study. The significant difference in this second study is its concentration in the charitableness independent variable to deeply evaluate whether the extent in which the participants would involve themselves in an honorable course of giving out to those who are vulnerable and in need of assistance (Walther et al., 2018). In this study, we only classify participants' willingness to contribute as either high charitableness or low charitableness based on their responses to the questions regarding donating the available money that they might have.

In the first study, we collected a lot of data regarding how numerous dependent variables like the friends of Michael friends appear as if they are individuals who care about others, donation amounts (money), and the friends of Michael give an impression that they are mean. In study two, we are majorly focusing on donation amount (money), which is the dependent variable, by identifying the responses of the amount of money from $0 to $100 that participants would be willing to give out to ensure that vulnerable people such as homeless children get helped. We will evaluate the donation amount (money) using the four conditions, that is, high contributors whose ability to give is high, high participant with little contribution to the charity, low participant soaring giving capability, and low participant minimized capability to give out.

Results Study Two

Testing the initial reliant variable, necessitated that we run the 2 X 2 ANOVA( good but you can say that you will be doing the ANOVA up in the procedure so you can just report in results section) with the state (elevated and little) and charitableness (low and soaring) as the variables which are independent and the donation amount (money) as the variable which is dependent. The outcomes show that there is no statistically noteworthy impact for charitableness on the amount that is donated, F (1, 103) = 16.80, P =.000 (if it is not significant then it should be p>.05…what you have here is basically that there is a very large sig diff). It shows that the differences that exists in the donation of money between the high condition (M = 28.87, SD = 14.53) and the low condition (M = 16.48, SD = 13.41)(the results are all a bit off) are not meaningful. Nevertheless, a statistically noteworthy divergence can be seen in charitableness, the independent variable, F (1, 107) = 0.876, P =.351. The individuals who contribute more, (M = 26.28, SD = 13.26) were seen to believe that individuals were likely to donate more money when there is the availability of finances than the participants who contribute very little, (M = 19.67, SD = 16.13).

Besides, there exists a relation involving the ability of the individuals in the sample to contribute and the condition of the scenario, F(1, 103) = 1.014, P =.316, indicating that the charitableness differed significantly among the high participant elevated capacity to give out (M = 31.09, SD = 11.76), high participant little ability to give to charity (M = 25.48, SD = 17.74), low participant higher capability to contribute to charity (M = 16.33, SD = 10.60), and low participant minimal ability to give to charity (M = 16.54, SD = 14.47) as displayed in the Appendix Table 7.

Discussion Study Two

Even though the second study displays that the amount of money available to a person influences their charitableness based on the purpose of the charity and thoroughly assessed the likelihood of people to give to those in need when they have financial resources, the presented outcomes do not clearly show this argument. Considering that all participants had access to money, their variance in charitableness did not have a statistical significance to demonstrate that they believed others would donate more when they were given the same amount (Vaidhyanathan, 2018). The results show that individuals who had thought of giving more to the charity were highly likely to classify the individuals who contributed less money as stingy and seem to believe that Michael's friends were not very caring about helping Michael meet his birthday wish of donating to support children in need.

The results indicate that the individuals with low donations had justified that Michael's friend was willing to give all they had and would most probably suggest that other individuals donate less just like they did. Moreover, individuals in the low category who had at least had higher charitableness seemed to be more concerned with the course and believed that there was a need or Michael's friends to give more to the charity (Hallinan et al., 2020). It is clear to see that as much as all individuals valued the course of donating and helping those in needs, individuals with high charitableness would classify friends of Michael as stingy and with reduced capability to care about the charity and those individuals who were willing to donate a considerably low amount of money rated the impression given in a way to suggest that the friends of Michael did a great job and helped as expected.

In conclusion, the results show a substantial statistical difference between the participants in high condition, predominantly between the elevated giving and little altruistic respondents. The individuals in the elevated charitableness category believed that Michael's friends had not been very concerned with what Michael had posted, and their commitments show that they are stingy (Hallinan et al., 2020). However, people in the low charitableness section seemed to believe that the contributions promised were high and, therefore, rated their impressions in favor of Michael's friends.

General Discussion

From the first study, it was predicted that, the respondents would be highly likely to donate more when they had money available and this led to their perception of classifying the people involved in this scenario as stingy. While from the second study, it was predicted that, that the amount of money available to a person influences their charitableness based on the purpose of the charity and thoroughly assessed the likelihood of people to give to those in need when they have financial resources. It’s important to state that from the findings on the first study, they were in support of the predictions since it was observed that those individuals who had less money would sacrifice and give the little they had to the child support as those with more money preferring to give more to help the child.

On the other hand, from the second study findings, the findings were somehow contradicting due to the fact that the individuals who had less money seemed to see the little contribution from those who had less money that they were caring and charitable, while for those who had more money observed it as an act of not caring form the category of individuals who had low money to give less. On their side, they were willing to give more to support the child. This findings specifically resulted into two understandings concerning charity that the amount of money determines how caring and charitable an individual is. In general terms, it’s clear that the findings from the two studies were in support of the predictions made, however the general conclusion to the reader is that the amount of money will also determine the level of caring as well as charity of an individual more especially from those with a lot of money.

Both the first and second studies had the limitation of not considering the individuals in the middle level income. Maybe if they could have considered this group, the findings would have changed. Secondly, the number of individuals or the respondents were not enough to make a solid conclusion, the findings can be described as the generalized ones. Therefore, it’s my proposal that the future studies do include the middle level income individuals besides increasing the sample size of the study. This could have a potential impact to the study results.

References:

Hallinan, B., Brubaker, J. R., & Fiesler, C. (2020). Unexpected expectations: Public reaction to the Facebook emotional contagion study. New Media & Society22(6), 1076-1094. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/1461444819876944

Walther, J. B., Van Der Heide, B., Kim, S. Y., Westerman, D., & Tong, S. T. (2018). The role of friends’ appearance and behavior on evaluations of individuals on Facebook: Are we known by the company we keep?. Human communication research34(1), 28-49. Retrieved from https://academic.oup.com/hcr/article-abstract/34/1/28/4210811

Vaidhyanathan, S. (2018). Antisocial Media: How Facebook disconnects us and undermines democracy. Oxford University Press. Retrieved from https://books.google.co.ke/books?hl=en&lr=&id=h05WDwAAQBAJ&oi=fnd&pg=PP1&dq=facebook+consensus+2017&ots=WfrG1Zoguw&sig=LKhzh_ALCLRf1qGJmWRlyVHAMTQ&redir_esc=y

Gosling, S. D., Augustine, A. A., Vazire, S., Holtzman, N., & Gaddis, S. (2017). Manifestations of personality in online social networks: Self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior, and Social Networking14(9), 483-488. Retrieved from https://www.liebertpub.com/doi/abs/10.1089/cyber.2010.0087

Shakya, H. B., & Christakis, N. A. (2017). Association of Facebook use with compromised well-being: A longitudinal study. American journal of epidemiology185(3), 203-211. Retrieved from https://academic.oup.com/aje/article/185/3/203/2915143

Table 1

Demographics Study One

Statistics

Gender (1 = M, 2 = F)

Age

Race

N

Valid

144

147

147

Missing

3

0

0

Mean

1.4792

24.8435

2.3605

Median

1.0000

22.0000

2.0000

Mode

1.00

22.00

2.00

Std. Deviation

.50131

8.48585

1.47558

Minimum

1.00

18.00

1.00

Maximum

2.00

72.00

6.00

Gender (1 = M, 2 = F)

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

75

51.0

52.1

52.1

Female

69

46.9

47.9

100.0

Total

144

98.0

100.0

Missing

System

3

2.0

Total

147

100.0

Race

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Caucasian

44

29.9

29.9

29.9

Hispanic

67

45.6

45.6

75.5

Native Indian

2

1.4

1.4

76.9

African American

17

11.6

11.6

88.4

Asian American

7

4.8

4.8

93.2

Other

10

6.8

6.8

100.0

Total

147

100.0

100.0

Table 2

Crosstabs and Chi Square – Study One

Condition (1 = H, 2 = M, 3 = L) * Attention Check (1 = H, 2 = M, 3 = L) Crosstabulation

Attention Check (1 = H, 2 = M, 3 = L)

Total

High

Middle

Low

Condition (1 = H, 2 = M, 3 = L)

High

Count

44

3

6

53

% within Condition (1 = H, 2 = M, 3 = L)

83.0%

5.7%

11.3%

100.0%

Middle

Count

0

36

4

40

% within Condition (1 = H, 2 = M, 3 = L)

0.0%

90.0%

10.0%

100.0%

Low

Count

6

6

42

54

% within Condition (1 = H, 2 = M, 3 = L)

11.1%

11.1%

77.8%

100.0%

Total

Count

50

45

52

147

% within Condition (1 = H, 2 = M, 3 = L)

34.0%

30.6%

35.4%

100.0%

Chi-Square Tests

Value

df

Asymptotic Significance (2-sided)

Pearson Chi-Square

166.323a

4

.000

Likelihood Ratio

162.856

4

.000

Linear-by-Linear Association

73.251

1

.000

N of Valid Cases

147

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 12.24.

Symmetric Measures

Value

Approximate Significance

Nominal by Nominal

Phi

1.064

.000

Cramer's V

.752

.000

N of Valid Cases

147

Table 3

ANOVA Donation Amount – Study One

Descriptive

Part II: Donation Amount (Money)

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

28.8679

14.53251

1.99619

24.8623

32.8736

.00

50.00

Middle

40

23.2500

10.03519

1.58670

20.0406

26.4594

.00

50.00

Low

54

16.4815

13.41042

1.82493

12.8211

20.1418

.00

50.00

Total

147

22.7891

13.98543

1.15350

20.5094

25.0688

.00

50.00

ANOVA

Part II: Donation Amount (Money)

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

4115.406

2

2057.703

12.123

.000

Within Groups

24441.057

144

169.730

Total

28556.463

146

Multiple Comparisons

Dependent Variable: Part II: Donation Amount (Money)

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

5.61792

2.72868

.102

-.8441

12.0800

Low

12.38644*

2.51904

.000

6.4208

18.3520

Middle

High

-5.61792

2.72868

.102

-12.0800

.8441

Low

6.76852*

2.71779

.037

.3323

13.2048

Low

High

-12.38644*

2.51904

.000

-18.3520

-6.4208

Middle

-6.76852*

2.71779

.037

-13.2048

-.3323

*. The mean difference is significant at the 0.05 level.

Table 4

ANOVA Friends Stingy – Study One

Descriptive

Part III: Michael's friends seem like stingy people

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

2.2264

1.03108

.14163

1.9422

2.5106

1.00

5.00

Middle

40

2.6750

.85896

.13581

2.4003

2.9497

1.00

4.00

Low

54

2.9074

1.27780

.17389

2.5586

3.2562

1.00

5.00

Total

147

2.5986

1.12054

.09242

2.4160

2.7813

1.00

5.00

ANOVA

Part III: Michael's friends seem like stingy people

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

12.725

2

6.362

5.370

.006

Within Groups

170.595

144

1.185

Total

183.320

146

Multiple Comparisons

Dependent Variable: Part III: Michael's friends seem like stingy people

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

-.44858

.22797

.124

-.9885

.0913

Low

-.68099*

.21045

.004

-1.1794

-.1826

Middle

High

.44858

.22797

.124

-.0913

.9885

Low

-.23241

.22706

.563

-.7701

.3053

Low

High

.68099*

.21045

.004

.1826

1.1794

Middle

.23241

.22706

.563

-.3053

.7701

*. The mean difference is significant at the 0.05 level.

Table 5

ANOVA Friends Care – Study One

Descriptive

Part III: Michael's friends seem like caring people

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

4.6038

.74265

.10201

4.3991

4.8085

2.00

6.00

Middle

40

4.5250

.78406

.12397

4.2742

4.7758

3.00

6.00

Low

54

4.1667

.90596

.12328

3.9194

4.4139

2.00

6.00

Total

147

4.4218

.83523

.06889

4.2856

4.5579

2.00

6.00

ANOVA

Part III: Michael's friends seem like caring people

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

5.696

2

2.848

4.265

.016

Within Groups

96.154

144

.668

Total

101.850

146

Multiple Comparisons

Dependent Variable: Part III: Michael's friends seem like caring people

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

.07877

.17115

.890

-.3265

.4841

Low

.43711*

.15800

.018

.0629

.8113

Middle

High

-.07877

.17115

.890

-.4841

.3265

Low

.35833

.17047

.093

-.0454

.7620

Low

High

-.43711*

.15800

.018

-.8113

-.0629

Middle

-.35833

.17047

.093

-.7620

.0454

*. The mean difference is significant at the 0.05 level.

Table 1

Demographics Study One

Statistics

Gender (1 = M, 2 = F)

Age

Race

N

Valid

144

147

147

Missing

3

0

0

Mean

1.4792

24.8435

2.3605

Median

1.0000

22.0000

2.0000

Mode

1.00

22.00

2.00

Std. Deviation

.50131

8.48585

1.47558

Minimum

1.00

18.00

1.00

Maximum

2.00

72.00

6.00

Gender (1 = M, 2 = F)

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

75

51.0

52.1

52.1

Female

69

46.9

47.9

100.0

Total

144

98.0

100.0

Missing

System

3

2.0

Total

147

100.0

Race

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Caucasian

44

29.9

29.9

29.9

Hispanic

67

45.6

45.6

75.5

Native Indian

2

1.4

1.4

76.9

African American

17

11.6

11.6

88.4

Asian American

7

4.8

4.8

93.2

Other

10

6.8

6.8

100.0

Total

147

100.0

100.0

Table 2

Crosstabs and Chi-Square – Study One

Condition (1 = H, 2 = M, 3 = L) * Attention Check (1 = H, 2 = M, 3 = L) Crosstabulation

Attention Check (1 = H, 2 = M, 3 = L)

Total

High

Middle

Low

Condition (1 = H, 2 = M, 3 = L)

High

Count

44

3

6

53

% within Condition (1 = H, 2 = M, 3 = L)

83.0%

5.7%

11.3%

100.0%

Middle

Count

0

36

4

40

% within Condition (1 = H, 2 = M, 3 = L)

0.0%

90.0%

10.0%

100.0%

Low

Count

6

6

42

54

% within Condition (1 = H, 2 = M, 3 = L)

11.1%

11.1%

77.8%

100.0%

Total

Count

50

45

52

147

% within Condition (1 = H, 2 = M, 3 = L)

34.0%

30.6%

35.4%

100.0%

Chi-Square Tests

Value

df

Asymptotic Significance (2-sided)

Pearson Chi-Square

166.323a

4

.000

Likelihood Ratio

162.856

4

.000

Linear-by-Linear Association

73.251

1

.000

N of Valid Cases

147

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 12.24.

Symmetric Measures

Value

Approximate Significance

Nominal by Nominal

Phi

1.064

.000

Cramer's V

.752

.000

N of Valid Cases

147

Table 3

ANOVA Donation Amount – Study One

Descriptives

Part II: Donation Amount (Money)

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

28.8679

14.53251

1.99619

24.8623

32.8736

.00

50.00

Middle

40

23.2500

10.03519

1.58670

20.0406

26.4594

.00

50.00

Low

54

16.4815

13.41042

1.82493

12.8211

20.1418

.00

50.00

Total

147

22.7891

13.98543

1.15350

20.5094

25.0688

.00

50.00

ANOVA

Part II: Donation Amount (Money)

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

4115.406

2

2057.703

12.123

.000

Within Groups

24441.057

144

169.730

Total

28556.463

146

Multiple Comparisons

Dependent Variable: Part II: Donation Amount (Money)

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

5.61792

2.72868

.102

-.8441

12.0800

Low

12.38644*

2.51904

.000

6.4208

18.3520

Middle

High

-5.61792

2.72868

.102

-12.0800

.8441

Low

6.76852*

2.71779

.037

.3323

13.2048

Low

High

-12.38644*

2.51904

.000

-18.3520

-6.4208

Middle

-6.76852*

2.71779

.037

-13.2048

-.3323

*. The mean difference is significant at the 0.05 level.

Table 4

ANOVA Friends Stingy – Study One

Descriptives

Part III: Michael's friends seem like stingy people

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

2.2264

1.03108

.14163

1.9422

2.5106

1.00

5.00

Middle

40

2.6750

.85896

.13581

2.4003

2.9497

1.00

4.00

Low

54

2.9074

1.27780

.17389

2.5586

3.2562

1.00

5.00

Total

147

2.5986

1.12054

.09242

2.4160

2.7813

1.00

5.00

ANOVA

Part III: Michael's friends seem like stingy people

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

12.725

2

6.362

5.370

.006

Within Groups

170.595

144

1.185

Total

183.320

146

Multiple Comparisons

Dependent Variable: Part III: Michael's friends seem like stingy people

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

-.44858

.22797

.124

-.9885

.0913

Low

-.68099*

.21045

.004

-1.1794

-.1826

Middle

High

.44858

.22797

.124

-.0913

.9885

Low

-.23241

.22706

.563

-.7701

.3053

Low

High

.68099*

.21045

.004

.1826

1.1794

Middle

.23241

.22706

.563

-.3053

.7701

*. The mean difference is significant at the 0.05 level.

Table 5

ANOVA Friends Care – Study One

Descriptives

Part III: Michael's friends seem like caring people

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

High

53

4.6038

.74265

.10201

4.3991

4.8085

2.00

6.00

Middle

40

4.5250

.78406

.12397

4.2742

4.7758

3.00

6.00

Low

54

4.1667

.90596

.12328

3.9194

4.4139

2.00

6.00

Total

147

4.4218

.83523

.06889

4.2856

4.5579

2.00

6.00

ANOVA

Part III: Michael's friends seem like caring people

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

5.696

2

2.848

4.265

.016

Within Groups

96.154

144

.668

Total

101.850

146

Multiple Comparisons

Dependent Variable: Part III: Michael's friends seem like caring people

Tukey HSD

(I) Condition (1 = H, 2 = M, 3 = L)

(J) Condition (1 = H, 2 = M, 3 = L)

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

High

Middle

.07877

.17115

.890

-.3265

.4841

Low

.43711*

.15800

.018

.0629

.8113

Middle

High

-.07877

.17115

.890

-.4841

.3265

Low

.35833

.17047

.093

-.0454

.7620

Low

High

-.43711*

.15800

.018

-.8113

-.0629

Middle

-.35833

.17047

.093

-.7620

.0454

*. The mean difference is significant at the 0.05 level.

Table 6

Demographics – Study Two

Statistics

Age

Race

Gender (1 = M, 2 = F)

N

Valid

107

107

107

Missing

0

0

0

Mean

24.9533

2.1028

1.5140

Median

22.0000

2.0000

2.0000

Mode

22.00

2.00

2.00

Std. Deviation

9.12945

1.25092

.50216

Minimum

18.00

1.00

1.00

Maximum

70.00

6.00

2.00

Gender (1 = M, 2 = F)

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

52

48.6

48.6

48.6

Female

55

51.4

51.4

100.0

Total

107

100.0

100.0

Race

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Caucasian

36

33.6

33.6

33.6

Hispanic

52

48.6

48.6

82.2

Native Indian

2

1.9

1.9

84.1

African American

9

8.4

8.4

92.5

Asian American

5

4.7

4.7

97.2

Other

3

2.8

2.8

100.0

Total

107

100.0

100.0

Table 7

2 X 2 ANOVA – Study Two

Descriptive Statistics

Dependent Variable: Part II: Donation Amount (Money)

Condition (1 = H, 3 = L)

New IV - Participant Charitableness (1 = H, 2 = L)

Mean

Std. Deviation

N

High

Participant High Charitableness

31.0938

11.75930

32

Participant Low Charitableness

25.4762

17.74153

21

Total

28.8679

14.53251

53

Low

Participant High Charitableness

16.3333

10.60099

15

Participant Low Charitableness

16.5385

14.47111

39

Total

16.4815

13.41042

54

Total

Participant High Charitableness

26.3830

13.25757

47

Participant Low Charitableness

19.6667

16.12627

60

Total

22.6168

15.23938

107

Tests of Between-Subjects Effects

Dependent Variable: Part II: Donation Amount (Money)

Source

Type III Sum of Squares

Df

Mean Square

F

Sig.

Corrected Model

4504.307a

3

1501.436

7.689

.000

Intercept

46734.294

1

46734.294

239.330

.000

IVCondition

3280.832

1

3280.832

16.801

.000

NewIVCharitable

171.135

1

171.135

.876

.351

IVCondition * NewIVCharitable

198.062

1

198.062

1.014

.316

Error

20112.982

103

195.272

Total

79350.000

107

Corrected Total

24617.290

106

a. R Squared = .183 (Adjusted R Squared = .159)