correlational research rm report

8/10/2019 Correlational Research RM REPORT

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CORRELATIONAL RESEARCH

Presented by:

Buan, Annie Jean L.

Coronado, Nerinel M

AR42FA1


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WHAT IS CORRELATIONAL RESEARCH

a quantitative method of research

have 2 or more quantitative variables from the same group of subjec

trying to determine if there is a relationship between the 2 variable


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e.g.

What is the relationship between:

1. Height and weight?

2. Work and Compensation?

3. Cigarettes smoked per day and health costs?

4. How close to the front you sit in class and your grade i

class?


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CHARACTERISTICS

Scatterplots &

matrics

Displays of scores

Direction, form &

strength

Associations

between scoresPartial correlation

& multiple

regression

Multiple varia

analysis


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DATA ANALYSIS

use Excel program,

calculating correlations is

probably the easiest data

to analyze.

do graphs & scatter plo


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PRESENTATION OF REPORTS

METHOD

present a general description of the group of participan

INTRODUCTION

briefly review past research & theory in your topic questio

Use the standard style lab report.


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PRESENTATION OF REPORTS

RESULTS

present your correlation statistic in both a table & in words, & note whether or

it is significant

MATERIAL & PROCEDURE

note that your general research strategy was a correlationalstudy, & describyour methods of data collection

PARTICIPANTS

any materials you may have used


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ADVANTAGES & DISADVANTAGES

ADVANTAGE DISADVANTAGE

helps researchers to see the

relationship between two or more

things.

enable researchers to analyze the

relationships among a large number of

variables in a single study

provide information concerning the

degree of the relationship between the

variables being studied

cannot be used to demonstrate ca

and effect relationships

A correlational study serves only t

describe or predict behavior, not t

explain it.


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SAMPLE


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The quantitative correlational study identified asso

between two variables:

Contributed to inequality of compensation in tconstruction industry


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The goal of the proposed study was to provide a b

understanding of :

The phenomenon of Gender Based Salary

Benefit inequality among construction manager

using A no experimental correlation design.


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Data Analysis

Data Analysis

Microsoft Excel was used analyze the quantitati

survey data. Quantitative da

analysis in the form descriptive statistical analy

was employed that includedmeasure of central tendenci

(e.g., frequency, meamode,median, varianc

range, and standa

deviation).


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The research study investigated compensation factors that may co

gender-based inequities within the industry:

Base Pay

AdditionalCompensation

Base IncreasePer Year

EducationalBackground

Time Off

Tuition

Benefits

VehicleAllowance

RetirementBenefits


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The scope of the study is confined to survey responses of the 418 c

management professionals on the subject of their compensation

salary and benefits, as contained in the CMAA archived surve

90% malerespondents

9.5% femalerespondents.

418

Construction

Management

Professionals


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DATA

Base salary mean scores were

higher for females as compared to

males.

Females have slightly higher

entry-level compensation than

males;

Males had a higher base increase

per year as compared to females.

Male respondents had highereducational background than

females.

Both males and females do have

the same minimum and maximum

time off.


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DATA

Due to the nature of the data,

Spearmans rho correlation was

employed. Spearmans rho correlation analysis

revealed four significant associations

between seven variables (a) gender

and time-off variable; (b) base salary

and additional compensation;(c)

time-off and vehicle allowance; and

(d) tuition benefits and retirement

benefits. The significant associationsbetween compensation factors

related to gender-based salary

disparities in the construction

industry represented specific

compensation factors of the

construction management industry,

and serve as the basis for continued

research.


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The study findings substanti

that gender-based salary a

compensation inequities m

have existed within the

construction industry. The cu

study results corroboratefindings in the literature tha

construction industry has be

predominantly male indus

Conclusion


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correlational research rm report

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