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Research Methods in Psychology Statistics

   

Added on  2023-06-10

14 Pages3492 Words353 Views
Research Methods in
Psychology Statistics

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
a) Research question and the use of appropriate regression model............................................3
b) Regression output...................................................................................................................4
c) Reporting main statistics from the regression model..............................................................5
d) Based on the analysis inferring the model’s performance......................................................5
e) Considering each of the predictor individually.......................................................................7
f) Equation of the predicted future blood pressure......................................................................8
g) Ranking all the predictors based upon the influence Future Blood Pressure.........................8
h) Correlation..............................................................................................................................9
i) Assumptions of regression analysis.......................................................................................10
j) Discussion relating to the findings........................................................................................10
CONCLUSION..............................................................................................................................12
REFERENCES..............................................................................................................................13

INTRODUCTION
Psychology is all about the study of mind and behaviour and the currents sturdy is based
upon the same which help to determine the what are the key factors affect the blood pressure of a
human being. Moreover, the current report is based upon the previous data from a sample of
patients that helps to determine the contribution of each variable and in the present study scholar
is now revising the assessment by adding two new potentials into the data which include anxiety
and sensation seeking. The main aim of the study is to determine the ways that helps to predict
the patient’s blood pressure in a future and that is why, the sample has been collected from the
different patients where different variables used. The report will answer different question by
using different inferential tools which in turn help to determine whether there is a relationship
between the future blood pressure and other variables.
MAIN BODY
a) Research question and the use of appropriate regression model
The present scenario is based on the fact that a team of health psychologists is being
working for the development of ways for predicting the blood pressure of patients in future.
Currently the measurement was taking place on the three factors that is current blood pressure,
depression and the neuroticism. But now they are thinking of adding two new potential scams for
measuring the future blood pressure that is the anxiety and sensation seeking. Now the researcher
wants to analyses that whether the two new scales will be affecting the future blood pressure or
not. In the present case the use of linear regression analysis will be undertaken in order to
analyze that whether the future blood pressure is being affected by the two new scales being
added that is anxiety and sensation seeking.
In order to prove the hypothesis correct, the use of multiple regression analysis has been
taken place. This multiple regression analysis is being taken as there is only one dependent
variable that is future blood pressure. This variable depends on the different types of independent
variable and because of this multiple regression has been applied. Also, the multiple regression is
being used because this method assists the researcher in using different factors to test at a single
time. On the other hand, the linear regression involves testing only a single dependent and
independent variable. Hence, for this reason, the use of multiple regression is being used. In the
present case the impact on blood pressure need to be tested because of adding of the new scales

and this involves more independent variable. Thus, because of this reason the use of multiple
regression is being applied.
b) Regression output
Multiple regression
H0- There is not any significant impact on future blood pressure because of the adding of anxiety
and sensation seeking.
H1- There is a significant impact being created over the future blood pressure after adding new
scale that is anxiety and sensation seeking.
Model Summary
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .972a .944 .940 1.683
a. Predictors: (Constant), Neuroticism, Sensation_Seeking,
Current_Blood_Pressure, Anxiety, Depression
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 3584.497 5 716.899 253.034 .000b
Residual 212.491 75 2.833
Total 3796.988 80
a. Dependent Variable: Future_Blood_Pressure
b. Predictors: (Constant), Neuroticism, Sensation_Seeking, Current_Blood_Pressure,
Anxiety, Depression
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta

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