This document discusses various quantitative data analysis techniques for research. It covers describing and summarizing data, identifying relationships between variables, comparing variables, and forecasting outcomes. The five most important methods are identified as mean, standard deviation, regression, sample size determination, and hypothesis testing. Parametric and non-parametric techniques are also discussed. Four levels of data measurement are defined: nominal, ordinal, interval, and ratio data. Examples are provided for coding nominal/ordinal data and visualizing data through graphs and charts. Statistical tests like the t-test, ANOVA, and chi-square are also summarized.
Part of a course I run introducing quantitative methods. One of the slideshows on my site www.kevinmorrell.org.uk please reference the site if you use any of it - hope it is useful.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Part of a course I run introducing quantitative methods. One of the slideshows on my site www.kevinmorrell.org.uk please reference the site if you use any of it - hope it is useful.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Difference between qualitative and quantitative research shaniShani Jyothis
nursing research### quantitative research###qualitative research###difference#### process of research ......
Quantitative Vs qualitative research.......÷######$###@@@@@@@@@@ based on hypothesis, ............., variables analysis,............ interpretation, .............
Overviews non-parametric and parametric approaches to (bivariate) linear correlation. See also: http://en.wikiversity.org/wiki/Survey_research_and_design_in_psychology/Lectures/Correlation
Difference between qualitative and quantitative research shaniShani Jyothis
nursing research### quantitative research###qualitative research###difference#### process of research ......
Quantitative Vs qualitative research.......÷######$###@@@@@@@@@@ based on hypothesis, ............., variables analysis,............ interpretation, .............
Overviews non-parametric and parametric approaches to (bivariate) linear correlation. See also: http://en.wikiversity.org/wiki/Survey_research_and_design_in_psychology/Lectures/Correlation
Test of Significance of Large Samples for Mean = µ.pptxHome
This ppt is presentation given by me in my college on the occasion of annual presentation test. My team's topic was Test of Significance of Large Samples for Mean = µ from Engineering Mathematics - 4 of Mumbai University Syllabus for Maths in Semester 4 of Engineering. All the credits to me, my team and https://www.faxscience.co.in/
This presentation consist of analysis of data in education aspects. This presentation deals about bivariate, multivariate anlaysis and it is also describes the descriptive and inferential statistics.
The presentation slides describes about the analysis of data. The presentation slides deals about scales of measurement, t test, ANOVA, ANCOVA, MANOVA, regression and SPSS help desk.
The presentation slides describes about the analysis of data. The presentation slides deals about scales of measurement, t test, ANOVA, ANCOVA, MANOVA, regression and SPSS help desk.
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The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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The French Revolution Class 9 Study Material pdf free download
Quantitative data analysis
1. Ronald C. Lucasia
Discussant
DATA ANALYSIS FOR QUANTITATVE
RESEARCH
The Philippine Women’s University
School of Education
Advanced Research Methods
Dr. Layla P. Padolina
Research Professor
2. DATA ANALYSIS
Describe and summarize the data.
Identify relationship between variables
Compare variables
Identify difference between variables
Forecast outcomes
3. 5 Most Important Method for Data Analysis
1. Mean
2. Standard Deviation
3. Regression
4. Sample Size Determination
5. Hypothesis Testing
4. Parametric Technique=
makes various kinds of
assumptions about the nature
of the population from which
samples involved in the
research study
7. Four Levels of Data Measurement
1. Nominal Data= data that is used for naming or labelling
variables.
2. Ordinal Data= is a categorical, statistical data type where
the variables have natural, ordered, categories and
distances between categories is not known..
3. Interval Data= a type of data which is measured along a
scale in which each point is placed at an equal distance
from one another.
4. Ratio Data= a quantitative data with an equal and
definitive ratio between each data and absolute zero being
treated as a point of origin.
8. Problem statement
• “This study will evaluate association between
politics and history TV channels
• Preference among different age groups of the
population. It will provide Statistical evidence to
support if such association exists”
• Researcher chooses quantitative research design
• Researcher randomly select sample size of 200
people
• Using simple random sampling
• Questionnaire design and data collection
EXAMPLE: Topic: Television rating study
9.
10. Coding Nominal/Ordinal data sets
• For data that is not numeric (nominal or ordinal), you
first label it with code.
For example, in our study we have two TV programs and
three age categories
Coding would like this Politics = 0 History = 1
• Coding would like this under 20 = 1 20-30 = 2 above
30 = 3
• Then you create variables for this data in the variable
view
13. Research hypothesis: There is an association between politics and
history TV channels preferences and viewer age”
In this study, we select test significance level as α = 5% , and sample test statistic as
Chi-square 𝝌 𝟐
We accept the Research hypothesis if p-value < α
15. Data Analysis for Correlational Study
Writing the results section for Correlational study.
1.r - the strength of the relationship.
2.p value - the significance level. "Significance" tells
you the probability that the line is due to chance. ...
3.n - the sample size.
16. MULTIVARIATE ANALYSIS
The analysis of the simultaneous relationships among
several variables.
TABLE 6.1:
Multivariate
Relationship: Religious
Attendance, gender, and
Age
17. Experimental Research
• T-test= helps examine whether the
differences between two samples are
statistically significant.
• One-way ANOVA= examines
differences between more than two
groups.
• Chi-Square= compare frequencies
observed in a sample with some
theoretically expected frequencies.
18. Sample Data Analysis for
Ttest
Groups Mean
Standard
Deviation
Tabular t Computed t Description Decision
Non-Hybrid
Group
(control)
9.74 2.99
1.99 0.18
Not
Significant
Accept Ho
Hybrid
Group
(experiment
al)
9.63 2.43
