# Represent The Total Life Satisfaction (Statistics Project Sample)

statistical analysis using sPSS. Data set was given in excel format

Here is the introduction

The three chosen variables are “tlifesat,” “tslfest" and "agegp5," which represent the total life satisfaction, total self-esteem, and age-5-groups. The first two variables, that is, the variables that represent the total life satisfaction and the one that represents total self-esteem are measured in interval scale. From the look of the data, the figures might have been read from a scale and recorded in order. The third variable showing the age group is a normal variable. The reason is, different numbers have been assigned to represent the age groups. For example, 1 represent age group of between age 18 to 24, 2 represent age 25 to 32, 3 represent 33 to 40 years, 4 represent 41 to 49, and 5 represent ages above 50. A descriptive summary of the variables is given in Table 1 below.

Represent The Total Life Satisfaction

The three chosen variables are “tlifesat,” “tslfest" and "agegp5," which represent the total life satisfaction, total self-esteem, and age-5-groups. The first two variables, that is, the variables that represent the total life satisfaction and the one that represents total self-esteem are measured in interval scale. From the look of the data, the figures might have been read from a scale and recorded in order. The third variable showing the age group is a normal variable. The reason is, different numbers have been assigned to represent the age groups. For example, 1 represent age group of between age 18 to 24, 2 represent age 25 to 32, 3 represent 33 to 40 years, 4 represent 41 to 49, and 5 represent ages above 50. A descriptive summary of the variables is given in Table 1 below.

Table SEQ Table \* ARABIC 1: The descriptive statistics table for the variables are “tlifesat,” “tslfest” and “agegp5.”

Statistics

Total Self-esteem

Total life satisfaction

age 5 groups

N

Valid

436

436

439

Missing

3

3

0

Mean

33.53

22.38

2.954

Median

35.00

23.00

3.000

Mode

40

23

4.0

Std. Deviation

5.395

6.770

1.4151

Variance

29.105

45.827

2.002

Range

22

30

4.0

Minimum

18

5

1.0

Maximum

40

35

5.0

Sum

14620

9757

1297.0

Percentiles

25

30.00

18.00

2.000

50

35.00

23.00

3.000

75

38.00

27.00

4.000

From the table, there were three missing data in the data entry of the first two variables. The mean score for the total self-esteem variable is 33.53, which indicates that most respondents had high self-esteem. The median and the mode, which also measures of central tendency, gives higher figures of 35 and 40 respectively. Therefore, it can be concluded that the data is skewed to the left and that most people have better self-esteem (according to the Rosenberg self-esteem scale (RSES)). Moreover, the standard deviation of the variable data is large (SD=5.395), indicating the data is widely spread around the mean.

Also, from the frequency distribution table, it can be seen that more than 52 percent of individuals scored over 35 percent on Rosenberg self-esteem scale (RSES). This shows that about half of the respondents have great self-esteem. On the other hand, only 2.4 percent of the respondents recorded a score of less than 20 on the Rosenberg self-esteem scale. This shows that only a small population of the group have low self-esteem.

The other variable, the total life satisfaction variable, also has three missing data and 436 valid entries. Life satisfaction is measured using Satisfaction with Life Scale (SWLS) through 5-Likert scale questions. The SWLS was developed to help in assessing the general satisfaction with life among respondents. The SWLS scale does not make asses how people are satisfied by each life domain but rather the whole life as a whole. In psychology, SWLS is the preferred tool to evaluate the emotional wellbeing of an individual because it focuses on individuals own criteria to assess his or her evaluative judgment (Pavot & Diener, 2008).

The Satisfaction with Life Scale (SWLS) has a range of scores from five to 35, with a score of five to nine indicating that respondents are extremely dissatisfied with life, a score of 20 indicating a neural response, and scores between 31 to 35 indicating that the respondents are extremely satisfied with life.

The mean score of the total life satisfaction is 22.38 indicating that on average, the respondents had a neural feeling about life satisfaction. This level of satisfaction is in tandem with various research study conducted in Europe (Costa & McCrae, 1980; Veenhoven & Ouweneel, 1991), which found that people wellbeing is just above neutral. However, the other measures of central tendency, that is, median and mean both had a score of 23. Since the mean score, median and mode are almost equal; it can be concluded that the variable data is normally distributed and that it is relatively symmetrical. The small standard deviation also indicates that more data entries are closely spread around the mean.

From the frequency distribution table, only 10.5 percent of the respondents scored between 31 and 35. That means that 10.5 percent of the respondents are extremely satisfied with life. On the other hand, only 3.7 percent of the respondents are extremely dissatisfied with life. This is extremely small compared to 10.5 percent who are extremely satisfied with life. Moreover, only about 5.5 percent who scored 20 in the Satisfaction with Life Scale is neutral to the life satisfaction issue. The neutral point is the stage at which the respondent is yet to be either satisfied or dissatisfied.

The third variable is represented in various age groups with an age gap of five years. In this variable, all the entries were valid with no missing data. The mean score of the age groups is 2.9 indicating that on average, most respondents are aged between 33 to 4o years. However, the median score was 3.0, and the mode is 4.0. The scores for the mode means that the number 4 has been entered more than any other number. The difference in the score of the three measurements of central tendency also suggests that the data could be skewed to the right. The standard deviation of 1.41 indicates that the data are widely spread around the mean.

From the frequency distribution table, the majority of the respondents were people aged between 41 and 49 (21,6 percent) and those aged between 18 to 24 (21.4 percent). The people above age 50 had the lowest representation of 18.2 percent followed by those between ages 33 and 40 at 18.9 percent. However, the general outlook of the data indicated that each age group was fairly equally represented with a difference of not more

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