56 Based on the data above can be concluded that the statements of each
variable included Parenting Style, Emotional Quotient, Learning
Readiness and Learning Style have the high reliability. I.
Data Analysis Technique
Data analysis method in the result of the research used for analyzing required data in order to be presented so the report would be easily understood.
Data analysis used in this study is as follows.
1. Data Description
Data description used for providing data from the location on each variable, whether it is independent variable or dependent variable. Data
presentation will be communicatively described within the table of frequency and histogram distribution. Drafting table of frequency
distribution, at first was to determine the number of class interval, range of data and class length.
a. Determine the number of class interval using Sturges formula � = + , log
Description: k
: number of class interval n
: number of observation in a set of data log
: logarithm b. Calculate range r
r = Highest Score – Lowest Score
Description: r
: range
57 c. Calculate the class length i
� = � Description:
i
: class interval length r
: range k
: number of class interval Sugiyono, 2007: 34
– 36 The second step of drafting table was making histogram distribution.
Data presentation should be describing variable tendency, within the following steps.
a. Mode = + [ + ]
Description: Mo
: Mode b
: class interval at the highest frequency limit p
: length of the class interval b
1
: modal class frequency the highest class interval frequency minus preceding class interval frequency
b
2
: modal class frequency minus succeeding class interval frequency
Sugiyono, 2007: 52 b. Median
= + [ − �
]
Description: Md
: median b
: low limit, boundary of the median n
: total number of observations p
: length of the class interval F
: cumulative frequency preceding median class f
: frequency corresponding to the median class Sugiyono, 2007: 53
58 c. Mean
= ∑
∑ Description:
Me : Mean
∑f
1
: the sum of occurrences ∑f
1
x
1
: multiplication product of f
1
per interval data and class sign x
1
Sugiyono, 2007: 53 d. Standard Deviation
� = √ ∑
− ̅ −
Description: SD
: standard deviation n
: number of data sample n
– 1 : degree of freedom
Sugiyono, 2007: 54 According to Suharsimi Arikunto 2006: 264 there are three
categories of variable, namely: a. High category = Mi + 1 SDi
b. Medium category = Mi – 1 SDi up to Mi + 1SDi
c. Low category = Mi – 1 SDi
2. The Test of Prerequisite Analysis
