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Дугаар (550) 31, 2021

Монголын хүн амын сэтгүүл

Table 2. Respondents Characteristics

Variable

Data

Number

Percentage

Gender

Female

117

65.7

Male

61

34.3

Age

20-30

53

29.8

31-40

68

38.2

41-50

44

24.7

51-60

13

7.3

Marital Status

Single parent

47

26.4

Married

131

73.6

Monthly household income

Less than 1 million

ц44

24.7

1-2million

63

35.4

2-3 million

39

21.9

3-4 million

22

12.4

More than 4 million

10

5.6

Education

Elementary school

12

6.7

High school

31

17.4

Graduate

135

75.8

3.3 Measurement

There are 25 items used to measure two

constructs. All items were measured on a five-

point Likert scale (1= strongly disagree and 5=

strongly agree).

4. RESULTS

4.1 Data Analysis and Procedure

The data collected through a self-administered

survey was entered into the SPSS sheet and

analyzed using Statistical Package for Social

Sciences 24.0 (SPSS).

It was the structural equation model (SEM) that

was mainly adopted to test the hypotheses. In

order to avoid an incorrect decision, the level

of significance is determined. A high level of

significant value in this study is determined by

p ≤ 0.05 (5%). A correlation with a significance

level of p ≤ 0.05 is considered significant.

An independent sample t-test was used to

evaluate the influence of the education of parents

and on a child’s influence on family buying

decisions. 

Table 3. Relationship between parent education and family purchase decision influenced by children

Education N

Mean

Standard

Deviation

Sig

Family decisions are significantly

influenced by children

Low 

43

2.1395 1.4071

0.040 0.002**

High 

135

2.9556 1.4906

Children tend to impact more on

family purchase decision

Low

43

2.1628 1.3615

0.118 0.003**

High 

135

2.9407 1.5050

In Table 3, the relationship between the variables

can be found. Among those relationships, there

are significant correlations. The dependent

variable in this paper on family buying decision

influenced by children has a strong and

statistically significant positive correlation with

parent education (0.002**) and (0.003**). This

result supports hypothesis 1 (H1), which states

that children from highly educated families have

more influence on their family decision making.

For assessing the influence of family income on

the family buying decisions One Way ANOVA

test was applied.