Week 1 Preparation Notes
QUANTITATIVE RESEARCH METHODS
WEEK 1
Date:
28 March 2015
Session Time:
14:00
Course Name:
Quantitative Research Methods
Meeting location:
Meeting Room 3
Discussion subject(s):
Summary Statistics
T-test
One-way ANOVA
Contents
Introduction 3
Introductory information 3
Summary Statistics 3
Basic Definitions 3
T-test 5
Independent samples t test 5
SPSS Steps 5
One-way ANOVA 6
SPSS Steps 6
Introduction
This document focuses specifically on Block/Week 1. The following topics will be covered:
Introductory information
Summary Statistics
T-test
One-way ANOVA
Introductory information
Required readings:
IBM SPSS Statistics 23 Manuals: Brief Guide1
Refer to “IBM Statistics Base 22 – Brief Guide.pdf”
IBM SPSS Case Studies: Introduction
Refer to “IBM Statistics Base 22.pdf”
SPSS Case studies
Refer to the help within SPSS itself
Discovering statistics using IBM SPSS Statistics (Field)
Will be made available via pdf
Bookboon Downloads
Tyrrell
Shayib
Summary Statistics
Basic Definitions
Definition
Application
Description
Field
Variables
General
Measurement value that is not constant.
Types
Independent Variable
Value does not depend on any other variables.
Other variables are dependent on its values.
Dependent Variable
Value depends on other variables.
Based on independent variable
7-8
Population
Complete data set of values
Sample
Selection of values that represent a population
Measurement Error
Difference between the values represented in the research and the actual values itself.
11—12
Validity and Reliability
Validity
Degree of whether an instrument actually measures what it is intended to measure.
Reliability
Degree of consistency of instrument
12
N
Number of values in a distribution
Distribution
Analysing and presenting data
The way that values (variables) are groups within the sample/population of data
Central tendencies
Mode
Value appearing the most in a distribution.
Tallest bar in a frequency distribution
Median
Value/score in the middle of a
WEEK 1
Date:
28 March 2015
Session Time:
14:00
Course Name:
Quantitative Research Methods
Meeting location:
Meeting Room 3
Discussion subject(s):
Summary Statistics
T-test
One-way ANOVA
Contents
Introduction 3
Introductory information 3
Summary Statistics 3
Basic Definitions 3
T-test 5
Independent samples t test 5
SPSS Steps 5
One-way ANOVA 6
SPSS Steps 6
Introduction
This document focuses specifically on Block/Week 1. The following topics will be covered:
Introductory information
Summary Statistics
T-test
One-way ANOVA
Introductory information
Required readings:
IBM SPSS Statistics 23 Manuals: Brief Guide1
Refer to “IBM Statistics Base 22 – Brief Guide.pdf”
IBM SPSS Case Studies: Introduction
Refer to “IBM Statistics Base 22.pdf”
SPSS Case studies
Refer to the help within SPSS itself
Discovering statistics using IBM SPSS Statistics (Field)
Will be made available via pdf
Bookboon Downloads
Tyrrell
Shayib
Summary Statistics
Basic Definitions
Definition
Application
Description
Field
Variables
General
Measurement value that is not constant.
Types
Independent Variable
Value does not depend on any other variables.
Other variables are dependent on its values.
Dependent Variable
Value depends on other variables.
Based on independent variable
7-8
Population
Complete data set of values
Sample
Selection of values that represent a population
Measurement Error
Difference between the values represented in the research and the actual values itself.
11—12
Validity and Reliability
Validity
Degree of whether an instrument actually measures what it is intended to measure.
Reliability
Degree of consistency of instrument
12
N
Number of values in a distribution
Distribution
Analysing and presenting data
The way that values (variables) are groups within the sample/population of data
Central tendencies
Mode
Value appearing the most in a distribution.
Tallest bar in a frequency distribution
Median
Value/score in the middle of a