Summary of Christian Doctrines - Paper Example

This survey generally was to understand the broad Christian doctrine especially on what Christianity teaches and not necessarily personal beliefs of the participants.

Null hypothesis

There is no statistically significant relationship between frequency of church attendance and the level of understanding of basic Christian doctrine

Alternate hypothesis

There is a statistically significant relationship between frequency of church attendance and the level of understanding of basic Christian doctrine

In this analysis, both descriptive and inferential statistics are used. The value of these statistical tests is that they will help make inferences about the population and draw conclusions specifically the inferential statistic test.

Furthermore, all tests of significance will be computed at a = 0.05. This level of significance is key when establishing the confidence interval that determines the true mean differences in the percentage proportions of the variables identified. As to note, 12 participants were considered in this survey.

On my thought, it would be prudent to find that there is a statistically significant relationship between the frequency of church attendance and the level of understanding of basic Christian doctrine. Also, I believe that the participants understand the general Christian doctrine especially on what Christianity teaches.

Phase 2: Raw data scoring

Raw data was collected from 12 participants who were 15 years old and above. All the participants were assured privacy and confidentiality.

Phase 3: SPSS output

In this analysis, both descriptive (frequencies and percentages) and inferential statistics (spearmans correlation) are used.

Phase 4: APA Results

The value of these statistical tests is that they will help make inferences about the population and draw conclusions specifically the inferential statistic test.

Furthermore, all tests of significance will be computed at a = 0.05. This level of significance is key when establishing the confidence interval that determines the true mean differences in the percentage proportions of the variables identified.

The results indicate that all the participants agreed that Christianity teaches belief in a personal God with 75% strongly agreeing on the same. In addition, 58.4% of the participants held the opinion that Christianity teaches that Jesus Christ was God in a full sense. However, 25% disagreed with their counterparts.

The results further showed that 75% of the participants agreed that Christianity teaches that Jesus Christ really rose from the dead. Moreover, 58.4% of the participants disagreed that Christianity teaches that people are born good whereas only 16.7% agreed that Christianity teaches that people are born good.

All the participants support the fact that Christianity teaches that Jesus Christs death was a sacrifice that paid for the sins of humankind. Furthermore, results indicates that 91.6% of the participants disagreed that Christianity teaches that what is good and evil depends on the circumstances of the time while only 8.3% were on the contrary.

Similarly, 91.7% of the participants agreed that Christianity teaches that the Bible is Gods word and all it says is true. On the other hand, only 33.3% agreed that Christianity teaches that faith in Jesus Christ is necessary if a person wants to go to heaven where as 33.3% disagreed.

The results also showed that all the participants agreed that Christianity teaches that God exists in three persons: God the Father, God the Son, and God the Holy Spirit. On the number of times per year that the participants attend the church, the mean score is 56.17with a median of 52.5.

The Pearson Product-Moment correlation coefficient (r = .278) computed indicated that there was no statistically significant relationship between frequency of church attendance and the level of understanding of basic Christian doctrine among the participants. On this note, the alternate hypothesis is rejected while we accept the null hypothesis.

Strength and weakness of the statistics used

The strength of this statistics is that a coefficient of zero indicates exact association between variables. However, the weakness of the statistic is that correlations are restricted to relationships that are linear only.

For to note, majority of the participants were Christians hence were expected to have more understanding on the Christian doctrine practices.

Phase 5: Discussion Board Forum 2

The analysis revealed no significant (p > 0.05) relationship between frequency of church attendance and the level of understanding of basic Christian doctrine. Therefore it is just by chance by that participants have understanding of basic Christian doctrine. However, this may be contributed by the fact that majority of the participants were Christians. This finding was contrary to my prediction.

These results may not be generalized to other populations due to smaller sample size. However, the results indicate some sort of similarities with the statements from Quarles (2011) where some variables had some relationships.

The implication of these results is that church leaders including pastors should encourage and attend fellowships even at home so that members continue to understand the Christian doctrines. This is informed by the fact that it is not necessary for the members to attend the churches in order to understand doctrines.