Week 8 - Assignment: Signature Assignment: Create a Presentation for Statistical Analysis in Research
hala2021
Presentation3.pptx
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| The importance of hypothesis testing in research. Statistical tests Identifying the null and alternative hypothesis. Identifying the Independent and Dependent variables. | 5. Displaying graphics, and descriptive statistics. 6. Describing the central tendency and dispersion. 7. Displaying the statistical output. a. Describing the statistical output. b. Reflecting on the use and value of the statistical test. 8. Summary |
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The Importance of Hypothesis Testing in Research
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Ensures that research methods are scientifically valid and reliable.
Determine the research's failure and success.
Creates a connection between the underlying idea and the research issue.
Assists in data processing and determining the research's validity and validity.
Lays the foundation or evidence for proving the research's legitimacy.
It assists in the description of a research study in tangible rather than theoretical terms.
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Pearson Correlation: Association between Personality and Job Satisfaction
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H0: There is no association between Personality and Job Satisfaction
H1: There is association between Personality and Job Satisfaction
Hypotheses are analytical assertions that are linked to the research questions (NCU Libraries, 2020). We examine whether there is a link or correlation between personality and job satisfaction in this presentation. The null hypothesis says that the variables have no association.
The null hypothesis is the one that must be rejected (NCU Libraries, 2020).
There is no link between job satisfaction and personality, according to the null hypothesis.
The alternative hypothesis is that there is a link between job satisfaction and personality.
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Pearson Correlation: Association between Personality and Job Satisfaction
| Personality | Frequency | Percent | Valid Percent | Cumulative Percent | |
| Valid | Introvert | 1 | 2% | 2% | .2% |
| 2 | 16 | 3.2% | 3.2% | 3.4% | |
| 3 | 33 | 6.5% | 6.5% | 9.9% | |
| 4 | 85 | 16.9% | 16.9% | 26.8% | |
| 5 | 145 | 28.8% | 28.8% | 55.6% | |
| 6 | 151 | 30% | 30% | 85.5% | |
| Extrovert | 73 | 14.5% | 14.5% | 100% | |
| Total | 504 | 100% | 100% |
Figure 1. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Pearson Correlation: Association between Personality and Job Satisfaction
| Job Satisfaction | Frequency | Percent | Valid Percent | Cumulative Percent | |
| Valid | Very dissatisfied | 20 | 4% | 4% | 4% |
| 2 | 33 | 6.5% | 6.5% | 10.5% | |
| 3 | 62 | 12.3% | 12.3% | 22.8% | |
| 4 | 72 | 14.3% | 14.3% | 37.1% | |
| 5 | 52 | 10.3% | 10.3% | 47.4% | |
| 6 | 30 | 6.0% | 6.0% | 53.4% | |
| 7 | 59 | 11.7% | 11.7% | 65.1% | |
| 8 | 70 | 13.9% | 13.9% | 79% | |
| 9 | 67 | 13.3% | 13.3% | 92.3% | |
| Very satisfied | 39 | 7.7% | 7.7% | 100% | |
| Total | 504 | 100% | 100% |
Figure 2. (IBM SPSS Statistics (2021).
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Pearson Correlation: Association between Personality and Job Satisfaction
| Statistics | Personality | Job Satisfaction | |
| N | Valid | 504 | 504 |
| Missing | 0 | 0 | |
| Mean | 5.19 | 5.88 | |
| Median | 5.00 | 6.00 | |
| Mode | 6 | 4 |
Figure 3. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Pearson Correlation: Association between Personality and Job Satisfaction
| Correlation | |||
| Personality | Job Satisfaction | ||
| Personality | Pearson Correlation | 1 | .238 |
| Sig (2-tailed) | .000 | ||
| N | 504 | 504 | |
| Job Satisfaction | Pearson Correlation | .238 | 1 |
| Sig (2-tailed) | .000 | ||
| N | 504 | 504 | |
| Correlation is significant at the 0.01 level (2 tailed) |
Figure 4. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Pearson Correlation: Association between Engagement and Job Satisfaction
H0: There is no association between engagement and Job Satisfaction
H1: There is association between engagement and Job Satisfaction
Hypotheses are aligned to the research questions and are analytical statements (NCU Libraries, 2020). Here we look into a possible correlation or relationship between engagement and job satisfaction. The null hypothesis states there is no correlation between the variables. The null is the hypothesis to be rejected (NCU Libraries, 2020).
The null hypothesis is: there is no correlation between job satisfaction and engagement.
The alternative hypothesis is: there is a correlation between job satisfaction and engagement.
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Pearson Correlation: Association between Engagement and Job Satisfaction
| Engagement | Frequency | Percent | Valid Percent | Cumulative Percent | |
| Valid | Very low | 8 | 1.6% | 1.6% | 1.6% |
| 2 | 40 | 7.9% | 7.9% | 9.5% | |
| 3 | 70 | 13.9% | 13.9% | 23.4% | |
| 4 | 86 | 17.1% | 17.1% | 40.5% | |
| 5 | 143 | 28.4% | 28.4% | 68.8% | |
| 6 | 130 | 25.8% | 25.8% | 94.6% | |
| Very high | 27 | 5.4% | 5.4% | 100% | |
| Total | 504 | 100% | 100% |
Figure 5. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Pearson Correlation: Association between Engagement and Job Satisfaction
| Statistics | Engagement | Job Satisfaction | |
| N | Valid | 504 | 504 |
| Missing | 0 | 0 | |
| Mean | 4.62 | 5.88 | |
| Median | 5.00 | 6.00 | |
| Mode | 5 | 4 |
Figure 6. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Pearson Correlation: Association between Engagement and Job Satisfaction
| Correlation | |||
| Engagement | Job Satisfaction | ||
| Engagement | Pearson Correlation | 1 | .412 |
| Sig (2-tailed) | .000 | ||
| N | 504 | 504 | |
| Job Satisfaction | Pearson Correlation | .412 | 1 |
| Sig (2-tailed) | .000 | ||
| N | 504 | 504 | |
| Correlation is significant at the 0.01 level (2 tailed) |
Figure 7. (IBM SPSS Statistics (2021).
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Pearson Correlation: Association between Trust in Leader and Engagement
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H0: There is no association between Trust in Leader and Engagement
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H1: There is association between Trust in Leader and Engagement
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Hypotheses are aligned to the research questions and are analytical statements (NCU Libraries, 2020). Here we look into a possible correlation or relationship between trust in leader and job engagement. The null hypothesis states there is no correlation between the variables. The null is the hypothesis to be rejected (NCU Libraries, 2020).
The null hypothesis is: there is no correlation between trust in leader and job engagement.
The alternative hypothesis is: there is a correlation between trust in leader and job engagement.
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Pearson Correlation: Association between Trust in Leader and Engagement
| Trust in Leader | Frequency | Percent | Valid Percent | Cumulative Percent | |
| Valid | Very little trust | 29 | 5.8% | 5.8% | 5.8% |
| 2 | 93 | 18.5% | 18.5% | 24.5% | |
| 3 | 91 | 18,1% | 18,1% | 42.8% | |
| 4 | 78 | 15.5% | 15.5% | 58.4% | |
| 5 | 90 | 17.9% | 17.9% | 76.5% | |
| 6 | 90 | 17.9% | 17.9% | 94.6% | |
| Great deal of trust | 27 | 5.4% | 5.4% | 100% | |
| Total | 498 | 98,8% | 100% | ||
| Missing | System | 6 | 1.2% | ||
| Total | 504 | 100% |
Figure 8. (IBM SPSS Statistics (2021).
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Pearson Correlation: Association between Trust in Leader and Engagement
| Statistics | Trust in Leader | Engagement | |
| N | Valid | 498 | 504 |
| Missing | 6 | 0 | |
| Mean | 3.97 | 4.62 | |
| Median | 4.00 | 5.00 | |
| Mode | 2 | 5 |
Figure 9. (IBM SPSS Statistics (2021).
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Pearson Correlation: Association between Trust in Leader and Engagement
| Correlation | |||
| Trust in Leader | Engagement | ||
| Engagement | Pearson Correlation | 1 | .164 |
| Sig (2-tailed) | .000 | ||
| N | 498 | 498 | |
| Job Satisfaction | Pearson Correlation | .164 | 1 |
| Sig (2-tailed) | .000 | ||
| N | 498 | 504 | |
| Correlation is significant at the 0.01 level (2 tailed) |
Figure 10. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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Independent Sample T-test
H0: The population means for personality and gender are equal
H1: The population means for personality and gender are different
| Dependent variable: | Personality |
| Independent variable: | Gender |
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Independent Sample T-test
T test
| Gender | Frequency | Percent | Valid Percent | Cumulative Percent |
| Female | 309 | 61.3% | 61.3% | 61.3% |
| Male | 195 | 38.7% | 38.7% | 100% |
| Total | 504 | 100% | 100% |
Figure 11. (IBM SPSS Statistics (2021).
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Independent Sample T-test
| Statistics | Gender | Personality | |
| N | Valid | 504 | 504 |
| Missing | 0 | 0 | |
| Mean | 1.39 | 5.19 | |
| Median | 1.00 | 5.00 | |
| Mode | 1 | 6 |
Figure 12. (IBM SPSS Statistics (2021).
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Independent Sample T-test
Independent Sample Test
| Group Statistics | |||||
| Gender | N | Mean | Std Deviation | Std Error Mean | |
| Personality | Female | 309 | 5.23 | 1.271 | .072 |
| Male | 195 | 5.11 | 1.251 | .090 |
| Levene's Test for | Equality of Variances | T-test for equality | For means | ||
| F | Sig | t | df | ||
| Personality | Equal variances assumed | .066 | .797 | 1.041 | 502 |
| Equal variances not assumed | 1.044 | 417.428 |
Figure 13. (IBM SPSS Statistics (2021).
Figure 14. (IBM SPSS Statistics (2021).
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Independent Sample T-test
T-test for equality of means
T-test for equality of means 95% Confidence Interval of the difference
| Sig (2 tailed) | Mean Difference | Std Error Difference | ||
| Personality | Equal variances assumed | .299 | .120 | ..116 |
| Equal variances not assumed | .297 | .120 | .115 |
| Lower | Upper | ||
| Personality | Equal variances assumed | -.107 | .347 |
| Equal variances not assumed | -.106 | .346 |
Figure 15. (IBM SPSS Statistics (2021).
Figure 16. (IBM SPSS Statistics (2021).
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ANOVA
H0: There is no difference among level of education and job satisfaction
H1: There are differences among level of education and job satisfaction
| Dependent variable: | Job satisfaction |
| Independent variable: | Level of education |
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Anova
ANOVA
Figure 17. (IBM SPSS Statistics (2021).
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ANOVA- Anova Calculations
Figure 18. (IBM SPSS Statistics (2021).
Figure 19. (IBM SPSS Statistics (2021).
Figure 20. (IBM SPSS Statistics (2021).
Need notes here not more than 100 word
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