Research Methodology
topic:- Hypothesis
subtopics:-
meaning and definition
utility of hypothesis
sources of hypothesis
testing of hypothesis
kinds of hypothesis
characteristics of hypothesis
formulation
remedies
This document discusses the concept of a hypothesis. It defines a hypothesis as a tentative statement about the solution to a research problem or as conjectural statement about the relationship between two or more variables. The document outlines the importance of hypotheses in guiding focused inquiry and preventing blind research. It also describes characteristics of a good hypothesis, sources of hypotheses, different types of hypotheses including universal, existential, descriptive, explanatory, and null hypotheses. Finally, it discusses potential problems in formulating hypotheses and types of errors in testing hypotheses.
This document discusses different types of research design based on purpose, process, and outcome. It describes descriptive, analytical, exploratory, and predictive research, which differ based on their goals. Qualitative research relies on first-hand data like interviews, while quantitative research focuses on numerical data. Applied research aims to solve practical problems, whereas fundamental research seeks to improve scientific theories. Overall, the document provides an overview of key types of research design and their distinguishing characteristics.
This document defines and discusses hypotheses in research. It begins by defining a hypothesis as a tentative statement about the relationship between two or more variables. It then discusses the importance of hypotheses in providing direction, goals, and a framework for research. The document outlines characteristics of good hypotheses and different types of hypotheses, including simple vs. complex, associative vs. causal, directional vs. non-directional, and null vs. research hypotheses. Sources of hypotheses and their role in linking theories to practice are also mentioned.
The presentation discusses null and alternative hypotheses. The null hypothesis expresses no difference or inequality between variables, while the alternative hypothesis expresses a difference or conflict. The null hypothesis is what researchers expect will definitely happen, while the alternative hypothesis is what researchers want to test. Examples are provided of null hypotheses stating children who eat oily fish do not show higher IQ increases than others, and that extroverts and introverts are equally healthy. The alternative hypotheses are that children eating oily fish will show higher IQ increases, and that introverts are not healthier than extroverts.
The document outlines the major and minor objectives of research. The major objectives are to gain new insights into phenomena, accurately portray characteristics of individuals or groups, determine the frequency of occurrences, discover truths and facts, and test hypotheses of relationships between variables. The minor objectives are to seek knowledge, find solutions to problems through systematic methods, gain research degrees and benefits, face challenges, and be of service to society.
This document discusses hypotheses, including their characteristics, criteria for construction, testing approaches, and types of errors. It defines a hypothesis as a tentative explanation for behaviors or events that can be scientifically tested. Key points include:
- Hypotheses must be clear, precise, testable and specify the relationship between variables.
- The null hypothesis is what is being tested, while the alternative is what may be accepted if the null is rejected.
- Tests can be two-tailed, testing in both directions, or one-tailed, testing in one specified direction.
- Type I error occurs when a true null hypothesis is rejected, while Type II error is accepting a false null hypothesis.
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
For a detailed explanation Watch the Youtube video:
https://youtu.be/6g4tD162yhI
Hypothesis, Characteristics of a good hypothesis, contribution to research study, Types of hypothesis, Source, level of significance, two-tailed one-tailed test, types of errors
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
This document discusses hypotheses in research methods. It defines a hypothesis as a specific, testable statement of prediction about what is expected to happen in a study. The document outlines the assumption, nature, roles, importance, and characteristics of hypotheses. It discusses the sources and types of hypotheses, including simple, complex, directional, and associative hypotheses. Finally, it describes the uses of hypotheses in experimental, survey, historical, and complex causal research. Hypotheses guide research, focus studies, and allow theories to be tested through empirical investigation.
Research meaning, Definition, Purpose, Objectives and Process.RajaKrishnan M
This document defines research and outlines the research methodology process. It states that research involves defining problems, formulating hypotheses, collecting and analyzing data, making deductions, reaching conclusions, and testing conclusions. Research is described as a systematic, formal, and rigorous process used to discover facts, relationships, and solutions to problems. The purpose of research is to gain solutions to problems through organized investigation with clearly defined objectives in order to obtain the right solution.
This document discusses research design and approaches. It begins by distinguishing between research design and research approach, with research design being the broader plan for conducting a study and research approach being an important element within the design. The key elements of a research design are then outlined, including the approach, population/sampling, data collection methods, time/place of collection, and data analysis method. The document goes on to classify and describe different types of research approaches, with a focus on quantitative and qualitative approaches as well as experimental and non-experimental designs. Specific experimental designs like true experimental, quasi-experimental, and pre-experimental are defined.
A statistical error is the difference between a sample value and the true population value. There are two main types of error - sampling error and non-sampling error. Sampling error occurs when the sample is not fully representative of the population, while non-sampling error can arise from factors like non-response, measurement issues, interviewer errors, adjustments to the data, or processing mistakes. Common ways to measure and reduce sampling error include calculating the standard error, sample size, and sample design.
This document discusses two main types of research: applied research and basic research. Applied research aims to solve practical problems and further technological advancements through knowledge application. Basic research expands knowledge purely through curiosity-driven exploration without a specific practical purpose. The two types of research feed each other in an ongoing cycle, with basic research providing theoretical concepts and applied research generating data to support and refine theory development. Examples of each research type are provided.
Types of Hypothesis-Advance Research MethodologyRehan Ehsan
This Presentation states the details of Hypothesis for students to get help in advance research methodology. Rearchers may also get help from this work.
The document discusses hypothesis, null hypothesis, and alternative hypothesis in research methodology. It defines a hypothesis as a tentative explanation for a problem being investigated. A null hypothesis proposes that there is no relationship between two variables, while an alternative hypothesis proposes there is a relationship. The researcher aims to disprove the null hypothesis and prove the alternative. Statistical hypothesis testing involves stating the hypotheses, developing a test plan, analyzing sample data, and determining whether to reject or accept the null hypothesis based on the results and significance level.
This document defines and compares four scales of measurement: nominal, ordinal, interval, and ratio. Nominal and ordinal scales are qualitative and classify variables into categories without numeric values. Interval and ratio scales are quantitative and assign numerical values, with ratio scales having a true zero point allowing ratio comparisons. Examples are provided to illustrate the characteristics and appropriate uses of each scale.
This PPT slide presentation deals with the Meaning of hypothesis, Types of hypothesis, Parameters of a good hypothesis, Importance of hypothesis, Source of hypothesis, Format of hypotheis & Formulation of testable hypothesis.
Meaning of research - Research Methodology - Manu Melwin Joymanumelwin
Research in common parlance refers to a search for knowledge. Once can also define research as a scientific and systematic search for pertinent information on a specific topic. In fact, research is an art of scientific investigation.
This document provides an overview of key concepts in research methods. It discusses what makes good research, including validity, reliability, and generalizability. It also outlines quantitative and qualitative research approaches, deductive and inductive reasoning, variables, hypotheses, causation vs. correlation, and gives examples of how research methods are applied to study different topics.
Examples of research methods h ighschool movies - preschool in three cultur...Ray Brannon
This document provides an overview of key concepts in research methods. It discusses what constitutes "good" research, including validity, reliability, and generalizability. It also outlines quantitative and qualitative research approaches, deductive vs inductive reasoning, the importance of establishing causality rather than just correlation, how to define variables, and how to develop hypotheses. Research methods help social scientists systematically study relationships between social factors.
This presentation discusses the following topics:
Meaning of Hypothesis
Sources of Hypothesis
Variables in hypotheses
Need for Hypothesis
Characteristics of Hypothesis
Functions of Hypothesis
Hypothesis vs. Theory
Variables in Hypothesis
Types of Hypothesis
Developing a Hypothesis
Parameters of Hypothesis
Checklist for Hypothesis
Examples
1. A hypothesis is a tentative assumption made to explain a phenomenon or guide an investigation. It can be a conjectural statement about the relationship between two or more variables that can be tested.
2. The main functions of a hypothesis are to provide focus for a study by specifying what aspects to investigate and what data to collect. Developing a hypothesis enhances objectivity.
3. For a hypothesis to be testable and useful for a study, it should be simple, specific, conceptually clear, capable of being verified, and related to existing knowledge. The outcome of testing a hypothesis may prove it right, partially right, or wrong.
The detective arrives at the scene where a woman was found dead at the bottom of a 5-story building. There is a suicide note saying she jumped from a window. The detective tosses a coin from each floor's window and comes to the conclusion that the woman was murdered, not a suicide. He knows this because the coins landed in a way that showed she could not have fallen from the windows of higher floors.
Here are 3 observations and an inference for each set of animal tracks:
Set 1:
Observations:
1. There are 4 toe prints in each track.
2. The prints form a line with space between each set.
3. The prints are rounded with claw marks.
Inference: Based on the observations, I infer these tracks were made by a dog or wolf.
Set 2:
Observations:
1. There are 3 long toe prints in each track.
2. The prints form a staggered line with one print in front of the other.
3. The prints are elongated with no claw marks.
Inference: Based on the observations, I infer these tracks were
This document defines hypothesis and discusses its functions and characteristics. It begins by defining a hypothesis as an intelligent guess or prediction that gives direction to a researcher to answer a research question. It then explains that a hypothesis formally states the expected relationship between two or more variables. The document outlines several key contributions and functions of hypotheses, including providing clarity to research problems and objectives, directing the research study process, and facilitating data collection and analysis. It describes different types of hypotheses, such as null/alternative hypotheses, directional/non-directional, simple/complex, and causal/associative hypotheses. Finally, it discusses advantages and disadvantages of stating hypotheses and emphasizes the importance of hypotheses in providing relationships between variables and objectivity to research.
RURAL RESEARCH METHOD AND METHODOLOGY ,,, Hypothesis In ResearchRAJKUMARPOREL
This document defines and discusses hypotheses. It begins by defining a hypothesis as an assumption made based on evidence that serves as the starting point for an investigation. It then outlines the key characteristics of hypotheses and different types of hypotheses, including simple, complex, directional, non-directional, null, and associative/causal hypotheses. Examples are provided for each type. The document concludes by explaining the functions of hypotheses and how they help in the scientific method.
This document discusses hypotheses, assumptions, and the differences between them in research. It defines a hypothesis as an intelligent guess that directs the researcher to answer the research question. A hypothesis must be testable and make predictions about the relationship between variables. The null hypothesis predicts no relationship between variables, while the alternative or research hypothesis predicts a relationship. Assumptions are beliefs considered true without proof and provide the basis for developing research but are not statistically tested like hypotheses. Key differences are that hypotheses are testable predictions while assumptions are beliefs without evidence. The document provides examples of different types of hypotheses and assumptions commonly used in research studies.
This document discusses different types of hypotheses used in research. It defines a hypothesis as a proposed explanation for a phenomenon that can be tested. The main types discussed are simple vs complex hypotheses, logical vs empirical hypotheses, directional vs non-directional hypotheses, associative vs causal hypotheses, and the null hypothesis vs the alternative hypothesis. It also discusses types of errors that can occur when testing hypotheses and concludes by emphasizing that hypotheses are provisional explanations that must be tested and can be replaced if not supported.
This document outlines a master's program for the first trimester of 2022-2023 at the College of Nursing at the University of Baghdad. It lists the names of 6 students and their supervisor, Dr. Widad Kamel. The program will cover topics related to formulating hypotheses for nursing research such as the purposes of hypotheses, characteristics of good hypotheses, sources of hypotheses, types of hypotheses, and how to word and test hypotheses. References for further information are also provided.
This document discusses hypothesis formulation in research. It defines a hypothesis as a statement about the relationship between two or more variables that is tested in a research study. A complete hypothesis includes the variables, population, and relationship between variables. There are different types of variables, populations, and relationships that can be included in a hypothesis. The document also outlines different types of hypotheses like simple, complex, directional, and non-directional and discusses how to properly formulate a hypothesis. Formulating a good hypothesis is important as it provides focus, direction, and guides the research process.
This document discusses quantitative research hypotheses. It defines null and alternative hypotheses and describes the three primary types: null hypotheses, directional hypotheses, and nondirectional hypotheses. Null hypotheses indicate no relationship between variables, while alternative hypotheses predict a relationship. Directional hypotheses specify the expected relationship as positive or negative, while nondirectional hypotheses predict a relationship without specifying the direction. The document also provides guidelines for writing good hypotheses, such as stating the expected relationship between variables, making the hypothesis testable and measurable, using simple and concise language, and basing it on prior research.
This document summarizes a statistics lecture about the research process and why statistics are needed in optometry and vision science. It discusses the steps of evidence-based practice including asking questions, acquiring evidence, appraising evidence, and applying evidence. It also covers generating and testing theories, levels of measurement, measurement error, validity, reliability, types of research such as correlational and experimental research, and methods of data collection and analysis. The goal is to explain the research process and why statistics are an essential tool for evidence-based practice in optometry.
1. A hypothesis is a tentative proposition made to explain certain facts or phenomena, which can be tested.
2. There are different types of hypotheses including working, descriptive, relational, and formalized hypotheses.
3. Key characteristics of a good hypothesis include conceptual clarity, specificity, testability, theoretical relevance, and consistency.
A hypothesis represents what researchers predict will happen in an experiment based on more than a guess. It is a statement that can be tested scientifically. For a hypothesis to be valid, it must be a definite statement that can be checked through an experiment involving independent and dependent variables. Examples of valid hypotheses include "daily apple consumption leads to fewer doctor's visits" and "employees who have flexible working hours will report greater job satisfaction than employees who work fixed hours." The null hypothesis is usually that no significant change will occur in the dependent variable based on changes in the independent variable.
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Search Engine Optimization (SEO): Optimizing websites to rank higher in search engine results pages (SERPs) to increase organic (non-paid) traffic.
Search Engine Marketing (SEM): Using paid advertising on search engines like Google to drive traffic to websites through paid search listings.
Social Media Marketing: Utilizing social media platforms (e.g., Facebook, Instagram, Twitter, LinkedIn) to connect with audiences and promote products or services.
Content Marketing: Creating and distributing valuable, relevant, and consistent content to attract and engage a target audience.
Email Marketing: Sending personalized messages to a targeted audience via email to promote products, services, or events.
Affiliate Marketing: Partnering with other businesses or individuals to promote products or services and earning commission based on sales generated.
Influencer Marketing: Collaborating with influencers (individuals with a dedicated social following) to promote products or services to their audience.
Online PR (Public Relations): Managing a brand's online presence and reputation through various online channels.
Analytics and Data-driven Marketing: Utilizing data and analytics tools to measure and optimize marketing campaigns' performance.
Mobile Marketing: Targeting users on mobile devices through mobile-optimized websites, apps, SMS, and other mobile channels.
Digital marketing offers businesses a cost-effective way to reach a global audience, measure campaign effectiveness in real-time, and adjust strategies based on data and insights. It continues to evolve with advancements in technology and changes in consumer behavior, making it essential for businesses to stay updated with current trends and best practices.
Digital marketing uses digital channels to promote a product or service.
Using digital marketing techniques and strategies helps businesses reach their target audience, engage with them, and ultimately convert them into customers.
Examples of digital marketing include SEO, PPC, social media marketing, content marketing, and leveraging traditional offline media for advertising.
Offline digital marketing includes out-of-home advertising, TV marketing
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2. INTRODUCTION
2
Hypothesis is a proposition that is put to test in research. A
proposition talks about ‘how the world is’ whereas
hypothesis speaks about ‘how the world is expected to
be’.
3. MEANING AND DEFINITION
Kerlinger states “A hypothesis is a statement of
the relationship between two or more variables
which is tested during the research process”.
Rummel and Balline : “A hypothesis is a statement
capable of being tested and thereby verified or rejected”.
3
5. 5
SR
No.
Observation Proposition Hypothesis
1 Private schools
provide better quality
education.
Private schools are provide
better quality education.
Private schools
impart better quality
education than
government schools.
2 Children with Divorce
parents have
emotional problems.
Divorce leads to emotional
problems in young children.
Children whose
parents have
divorced are more
likely to show
emotional problems
than the children
whose parents are
not divorced.
EXAMPLES
8. UTILITY OF HYPOTHESIS
• The hypothesis decides the direction of the study. It helps the researcher
to decide what type of data is necessary and what information is
irrelevant. In the absence of the hypothesis, our research would be
direction-less.
• The hypothesis decides the main ‘focus’ of the study, so that there would
not be any deviation from the main path.
• The well defined hypothesis gives a temporary answer to the research
problem; hence it helps the advancement of knowledge.
• The clear definition of hypothesis saves time, energy and money. Hence
the study becomes a focussed study.
8
12. TESTING OF HYPOTHESIS
12
The process of testing hypotheses embodies the major part of
the research process.
It consists of operationalization of the concepts,
construction of data gathering tools, collection of data, and statistical
analysis of data and drawing inferences from the results.
Tests of significance are applied.
It observed facts are inconsistent with the
hypotheses, they are rejected. If the facts confirm the hypotheses,
then the latter are tenable.
13. KINDS OF HYPOTHESIS
(i) Null hypothesis:-
A Null hypothesis is a statement that there
exists no difference between parameter and
the statistic, being compared to it.
13
14. 14
Null: If one plant is fed
club soda for one
month and another
plant is fed plain water,
there will be no
difference in growth
between the two
plants.
16. 16
Alternative: If one plant
is fed club soda for one
month and another
plant is fed plain water,
the plant that is fed club
soda will grow better
than the plant that is fed
plain water.
18. CHARACTERISTICS OF A GOOD
HYPOTHESIS
18
•The hypothesis should state the relationship between the two
variable.
•The hypothesis should be specific, clear, definite and non-
ambiguous.
•The hypothesis should be stated as far as possible in most simple
language so that anyone can easily understand.
•It should be goal oriented.
•The hypothesis should related to “body of theory” every hypothesis
must have strong foundation of theory.
22. REMEDIES FOR REMOVING
DIFFICULTIES
22
i) Complete and perfect knowledge of the principles of sociology
has to be acquired.
ii) From the very beginning the hypothesis should be in brief and
Timely.
iii) It should grow as the research proceeds further, means
hypothesis should become elaborate as one proceeds in the
field of research.