Statistical Treatment of Data

STATISTICAL TREATMENT OF DATA

The data to be gathere gathered d in this study study will will be subject subjected ed to the followi following ng statistical treatment:

FOR SPECIFIC QUESTION # 1:

The frequen frequency cy of the each each respons response e will will be determin determined ed on the number number of the respond respondents ents who will will check check in the particular particular item. The Demograp Demographic hic Profile Profile of the respondents will be determined by using the formula of percentage. "here: P # Percentage F # $requency N # Total %umber of &espondents

FOR SPECIFIC QUESTION # 2:

Pearson’s product-moment correlation coefficient is used to measure linear association between two ariables. !t will determine if there is correlation between the  job satisfactions satisfactions of nurses nurses to the deliery of quality quality patient care using using this formula: "here: N # number of samples X # first ariable  Y # second ariable

FOR SPECIFIC QUESTION # 3:

'pearman correlation coefficient will be used to determine the e(tent of relationship of the responses of the respondents coming from the ) selected hospitals from the least to the highest factors that can affect the job satisfaction of the nurses in rendering quality care to patients* this formula will be used:

"here: D2 # is the difference between the subject ranks of the two respondents N # total number of ariables

The result of the computed relationship between the two respondents will be interpreted according to Pearson’s scale that aries from +, to -,. !t will base from the following alues. .# no correlation  negligible correlation /, # perfect correlation /., - /.)0 # ery low correlation /.)1 - /.0 # moderately low correlation /.0, - /.20 # high correlation /.21 - /.33 # ery high correlation

FOR SPECIFIC QUESTION # 4:

The 4hi-square test of !ndependence is used in analy5ing two ariables with multiple categories. The obsered frequencies will be determine on the number of the respondents who will check in the particular item. To determine the possible ways that can enhance the deliery of quality patient care based on their job satisfaction this formula will be used:

"here:

"ith:

O # obsered frequencies

df = (!1" (!1"

"here:

E # e(pected frequencies

  # number of rows

K # number of categories

 # number of columns

The following table will help in the computation of the e(pected frequencies:

TABLE 1 6bsered $requencies

TABLE 2 7(pected $requencies

a,

a)

a8

9

b,

b)

b8



c,

c)

c8

!

D

7

$

T