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RESEARCH HYPOTHESIS - PowerPoint PPT Presentation

RESEARCH HYPOTHESIS

Hypothesis should be testable & should not be a moral judgment. ... for example, roy s adaptation model is used in a research study, ... – powerpoint ppt presentation.

• A hypothesis is a formal tentative statement of the expected relationship between two or more variables under study.
• A hypothesis helps to translate the research problem objectives into a clear explanation or prediction of the expected results or outcomes of the research study.
• A clearly stated hypothesis includes the variables to be manipulated or measured, identifies the population to be examined, indicates the proposed outcome for the study.
• Hypothesis is a tentative prediction or explanation of the relationship between two variables. It implies that there is a systematic relationship between an independent a dependent variable.
• For example, dietary compliance will be greater in diabetic patients receiving diet instruction in small groups than in diabetic patients receiving individualized diet instructions.
• Good Hatt define hypothesis as a shrewd guess or inference that is formulated provisionally adopted to explain observed facts or conditions to guide in further investigation.
• Hypotheses enables the researcher to objectively investigate new areas of discovery. Thus , it provides a powerful tool for the advancement of knowledge.
• Hypotheses provides objectivity to the research activity.
• It also provides directions to conduct research such as defining the sources relevance of data.
• Hypotheses provides clear specific goals to the researchers. These clear specific goals provide the investigator with a basis for selecting sample research procedures to meet these goals.
• Hypotheses provides link between theories actual practical research.
• It provides a bridge between theory reality.
• A hypothesis suggests which type of research is likely to be most appropriate.
• As it is a tentative statement of anticipated results, it guides the researcher towards the direction in which the research should proceed.
• It stimulates the thinking process of researcher as the researcher forms the hypothesis by anticipating the outcome.
• It also determines the most appropriate research designs techniques of data analysis.
• Hypotheses provides understanding to the researchers about what expect from the results of the research study.
• It serves as framework for drawing conclusions of a research study.
• Without hypotheses, research would be like aimless wandering.
• Conceptual clarity
• Hypothesis should consist of clearly defined understandable concepts. It should be stated in very terms, the meaning implication of which cannot be doubted. To facilitate the conceptual clarity, hypothesis can be stated in declarative statement, in present tense.
• Empirical referents
• Research must have an ultimate empirical referent. No usable hypothesis can embody moral judgments. A good hypothesis must have empirical basis from the area of enquiry.
• Objectivity
• Hypothesis must be objective, which facilitates objectivity in data collection keeps the research activity free from researcher value - judgment.
• Specificity
• It should be specific, not general, should explain the expected relations between variables. For example, regular yoga reduces stress.
• The hypothesis should be relevant to the problem being studied as well as the objectives of the study. Hypothesis must have relevance with theory under test in a research process.
• Testability
• Hypothesis should be testable should not be a moral judgment. It must be directly/indirectly observable measurable. The researcher can set up a situation that permits one to assess if it is true or false. It must be verifiable. For example, a statement such as bad partners produce bad children. This sort of hypothesis cannot be tested.
• Consistency
• A hypothesis should be consistent with an existing body of theories, research findings, other hypotheses. It should correspond with existing knowledge.
• A hypothesis should be formulated in simple understandable terms. It should require fewer conditions assumptions.
• Availability of techniques
• The researchers must make sure that methods are available for testing their proposed hypotheses
• Purposiveness
• The researcher must formulate only purposeful hypotheses, which has relevance with research problem objectives.
• Verifiability
• A good hypothesis can be actually verified in practical terms.
• Profundity of effect
• A good hypothesis should have profound effect upon a variety of research variables.
• The expenditure of money the time can be controlled if the hypotheses underlying the research undertaken is good.
• The most important sources of hypotheses are theoretical or conceptual frameworks developed for the study.
• Through a deductive approach these hypotheses are drawn from theoretical or conceptual frameworks for testing them.
• For example, Roys adaptation Model is used in a research study, where a hypothesis can be drawn from a concept of the theoretical mode that patients adaptation to a chronic illness depends on availability of social support for them.
• Findings of the previous studies may be used for framing the hypotheses for another study.
• For example, in a small sample descriptive study, a researcher found that a number of patients admitted with coronary artery disease had increased body mass index.
• In another research study, a researcher may use this finding to formulate a hypothesis as Obese patients have increased risk for development of coronary artery disease.
• Real-life experiences also contribute in the formulation of hypotheses for research studies.
• For example, Newton had a life-changing experience of the falling of an apple formulated a hypothesis that earth attracts all the mass towards its centre, through several researchers were conducted before generating a law of central gravity.
• Academic literature is based on formal theories, empirical evidences, experiences, observation, conceptualizations of academicians.
• These literatures may serve as good sources for formulating hypotheses for research studies.
• Simple hypothesis
• It is a statement which reflects the relationship between two variables.
• For example, the lower the level of hemoglobin, the higher is the risk of infection among postpartum women.
• Complex hypothesis
• It is a statement which reflects the relationship between more than two variables.
• For example, satisfaction is higher among patients who are older dwelling in rural area than those who are younger dwelling in urban area.
• Associative hypothesis
• It reflects a relationship between variables that occurs or exists in natural settings without manipulation.
• This hypothesis is used in correlational research studies
• Causal hypothesis
• It predicts the cause-and-effect relationship between two or more dependent independent variables in experimental or interventional setting, where independent variable is manipulated by research to examine the effect on the dependent variable.
• The causal hypothesis reflects the measurement of dependent variable to examine the effect of dependent variable, which is manipulated by the researcher(s).
• For examples, prevalence of pin site infection is lower in patients who receive pin site care with hydrogen proxidide as compared to patients who receive the pin site care with Betadine solution.
• Directional hypothesis
• It specifies not only the existence, but also the expected direction of the relationship between variables.
• Directional hypothesis states the nature of the relationship between two or more variables such as positive, negative, or no relationship.
• To express the direction of relationship between variables, the directional terms are used to state the hypothesis such as positive, negative, less, more, increased, decreased, greater, higher, lower, etc.
• For examples, there is a positive relationship between years of nursing experience job satisfaction among nurses.
• Nondirectional Hypothesis
• It reflects the relationship between two or more variables, but is does not specify the anticipated direction nature of relationship such as positive or negative.
• It indicates the existence of relationship between the variables.
• For example, there is relationship between years of nursing experience job satisfaction among nurses.
• Null hypothesis (H0)
• It is also known as statistical hypothesis is used for statistical testing interpretation of statistical outcomes.
• It states the existence of no relationship between the independent dependent variables.
• For example, there is no relationship between smoking the incidence of coronary artery disease.
• Research hypothesis (H1)
• It states the existence of relationship between two or more variables.
• For examples, there is relationship between smoking incidence of lung cancer.

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Formulation of hypothesis and testing

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Presentation on theme: "Formulation of hypothesis and testing"— Presentation transcript:

1 COMM 301: Empirical Research in Communication Lecture 15 – Hypothesis Testing Kwan M Lee.

Chapter 9 Hypothesis Testing Understandable Statistics Ninth Edition

Research Methods in MIS

Chapter 3 Hypothesis Testing. Curriculum Object Specified the problem based the form of hypothesis Student can arrange for hypothesis step Analyze a problem.

Statistical hypothesis testing – Inferential statistics I.

Inferential Statistics

Section 2: Science as a Process

© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 9. Hypothesis Testing I: The Six Steps of Statistical Inference.

Hypothesis Testing.

Section 9.1 Introduction to Statistical Tests 9.1 / 1 Hypothesis testing is used to make decisions concerning the value of a parameter.

Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses.

Copyright © Cengage Learning. All rights reserved. 8 Introduction to Statistical Inferences.

RE - SEARCH ---- CAREFUL SEARCH OR ENQUIRY INTO SUBJECT TO DISCOVER FACTS OR INVESTIGATE.

LECTURE 3 RESEARCH METHODOLOGY Research framework and Hypotheses development.

Constructing Hypothesis Week 7 Department of RS and GISc, Institute of Space Technology.

Introduction to Earth Science Section 2 Section 2: Science as a Process Preview Key Ideas Behavior of Natural Systems Scientific Methods Scientific Measurements.

Academic Research Academic Research Dr Kishor Bhanushali M

HYPOTHESIS TESTING Null Hypothesis and Research Hypothesis ?

Scientific Methods and Terminology. Scientific methods are The most reliable means to ensure that experiments produce reliable information in response.

©2010 John Wiley and Sons Chapter 2 Research Methods in Human-Computer Interaction Chapter 2- Experimental Research.

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Scientific Method Lesson for Middle School: Writing a Hypothesis

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How to Write a Hypothesis

Aug 24, 2014

500 likes | 1.24k Views

How to Write a Hypothesis. Steps of the Scientific Method. Problem/Question? Collect Information Create a Hypothesis Perform an Experiment Analyze Data Conclusion. The hypothesis is the most important part of your investigation!. What is a hypothesis again?? It is an educated guess.

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Presentation Transcript

Steps of the Scientific Method Problem/Question? Collect Information Create a Hypothesis Perform an Experiment Analyze Data Conclusion

The hypothesis is the most important part of your investigation! What is a hypothesis again?? It is an educated guess. It is your prediction about the outcome of the experiment. It explains a cause and effect.

A Hypothesis ... is written in the following way: “If the (independent variable) is (describe change), then the (dependent variable) will (describe measure).” IMPORTANT: You must always write a hypothesis as an “IF...THEN” statement. It shows how the independent and dependent variables are related.

Now Let’s Try! Here is a scenario: Mrs. Smith wants to know if the amount of TV her son, Jeff, watches affects the number of times he wakes up at night.

First, let’s figure out what our variables are... Independent variable? (hint- change) TV time (1 hour, 2 hours, 3 hours, 4 hours) Dependent variable? (hint- measure) How many times Jeff wakes up at night.

And our hypothesis is? If the (amount of TV time) is (increased), then the (number of times Jeff wakes up) will (increase). Sound good?

Let’s try another scenario... Ms. Szydelko wants to find out if using fertilizer on her sunflowers will affect how high they grow. What might her hypothesis be?

Ms. Szydelko says... “If the amount of fertilizer used on the sunflowers increases, then the height of the sunflowers will also increase.”

Ready for some practice? #1 – Put everything away. #2 – I will count you off by 4’s. Remember your number! #3 – After you join your group, have one group member come and get a mini white board, marker, and tissue (for your eraser). #4 – YOU HAVE 2 MINUTES TO DO THIS.

INSTRUCTIONS I will put a problem or question up on the board. You will discuss with your group and come up with a HYPOTHESIS. When I say “show me your answer,” one person from the group holds up the white board. You must pass the whiteboard to a different team member for each question/problem.

Problem #1 Billy Bob wants to know if the amount of time 6th graders at IJHS spent playing video games affects their science test scores.

Problem #2 Davey Jones has seen those commercials that say “Axe” body spray attracts girls. He decides to test if the amount of times he sprays Axe body spray on himself affects the number of girls that approach him during one school day.

Problem #3 Brendan Quinn is setting up an experiment to find out if the weight of a hockey puck has an affect on the speed of his slap shot.

Problem #4 Dr. McDermott is really curious to find out if the amount of time students spend each night on homework affects their grades.

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