Podcast
Questions and Answers
What is a key characteristic of presenting a set of data?
What is a key characteristic of presenting a set of data?
It is unnecessary for researchers to determine the level of measurement of quantitative data used in research.
It is unnecessary for researchers to determine the level of measurement of quantitative data used in research.
False
What type of research design is preferred for data exploration when uncertainty exists?
What type of research design is preferred for data exploration when uncertainty exists?
Exploratory Data Analysis
The blueprint of a research methodology serves as the overall ______ of the research.
The blueprint of a research methodology serves as the overall ______ of the research.
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Match the steps in determining sample size using Slovin's formula:
Match the steps in determining sample size using Slovin's formula:
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Which of the following contexts should be considered in exploratory data analysis?
Which of the following contexts should be considered in exploratory data analysis?
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Stratified sampling involves allocating the total sample proportionally among different strata.
Stratified sampling involves allocating the total sample proportionally among different strata.
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In the context of research methodology, what role does a blueprint serve?
In the context of research methodology, what role does a blueprint serve?
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Which research design should be used to analyze the academic struggle and scholastic achievement of students?
Which research design should be used to analyze the academic struggle and scholastic achievement of students?
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Validity refers to the consistency of a measure across different occasions.
Validity refers to the consistency of a measure across different occasions.
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What is the arithmetic average of a set of data called?
What is the arithmetic average of a set of data called?
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When a researcher collects data using a series of questions, the research material they are using is called a _____.
When a researcher collects data using a series of questions, the research material they are using is called a _____.
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What does reliability refer to in the context of quantitative research?
What does reliability refer to in the context of quantitative research?
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Match the research terms with their definitions:
Match the research terms with their definitions:
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External validity ensures that a study's findings can only be applied to the specific sample studied.
External validity ensures that a study's findings can only be applied to the specific sample studied.
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When measuring something, if the results closely correspond to real-world values, this is considered a method of _____ testing.
When measuring something, if the results closely correspond to real-world values, this is considered a method of _____ testing.
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What is the purpose of delaying enrollment at new sites according to the research process?
What is the purpose of delaying enrollment at new sites according to the research process?
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Inferential data analysis is only used for descriptive statistics.
Inferential data analysis is only used for descriptive statistics.
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What statistical treatment is commonly used to measure the linear relationship between two variables?
What statistical treatment is commonly used to measure the linear relationship between two variables?
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Quantitative research often involves the use of __________ statistics to test hypotheses.
Quantitative research often involves the use of __________ statistics to test hypotheses.
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Which of the following statements about the effects of different teaching methods is true based on the professor's findings?
Which of the following statements about the effects of different teaching methods is true based on the professor's findings?
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Match the research methods with their purposes:
Match the research methods with their purposes:
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Which methods are used for treatment of data in inferential statistics?
Which methods are used for treatment of data in inferential statistics?
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Using a scatter diagram is crucial before computing statistical treatments to determine linearity.
Using a scatter diagram is crucial before computing statistical treatments to determine linearity.
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Study Notes
Research Methods - 2 in 1 Activity
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Correlational Research Design: Its goal is to determine if one variable increases or decreases as another variable increases or decreases, establishing an association between variables, and measuring variables as they occur.
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Informed Consent: Essential for research involving underage participants, requiring voluntary agreements regarding their roles in the study along with full disclosure.
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Data Collection Methods: Primary data sources like interviews, questionnaires, and tests are crucial for obtaining hard data in research.
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Sampling Techniques: Stratified random sampling involves dividing the population into subgroups (strata) and randomly selecting participants from each strata to ensure representation.
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Variables Representation: Biological sex, political affiliation, and basketball fan affiliation are categorical variables, meaning they cannot be ordered.
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Simple Random Sampling: Every member of the population has an equal chance of being selected for the sample. This involves techniques like fishbowl or roulette wheel selection, while ensuring the sample is representative of the population.
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Research Instruments: Surveys, questionnaires, and observation sheets are common tools for collecting quantitative data.
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Good Research Instruments: Key qualities include being short and complete, with logical question order and valid/reliable measures to gather the reader’s attention.
Research Intervention Process
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Applying Intervention: The order for a research intervention process includes: writing the background information, explaining the basis of procedures, describing the intervention procedures, and then writing the differences and similarities between control and experimental groups.
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Tabular Presentation of Data: Essential components for clear and organized tabular presentations include table numbers and titles; captions, subheads; and informative bodies.
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Data Gathering Steps: Proper steps for data collection include determining sample size, prepping research instruments or tools, obtain consent for participants (adult or parent if minors) and pilot test if necessary.
Statistical Treatments
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Statistical Comparison Method: In research comparing effectiveness of interventions, using a t-test (if comparing two groups) or ANOVA (if comparing more than two groups) is the effective method to determine significant differences between pre-test and post-test results.
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Data Measurement: The measurement level (nominal, ordinal, interval, or ratio) influences which statistical methods are suitable for analyzing data.
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Sampling Techniques (Example): Stratified sampling is a probability sampling method; it divides the population into subgroups based on characteristics, and random samples are taken from each subgroup. The sample size for the overall population can be determined using Slovin's formula, or by other means, to address the margin of error and confidence level.
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Research Conclusion Structure: Conclusions necessitate clear, concise, and brief summaries of findings, avoiding unresolved issues or apologetic statements.
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Variables: Understanding measurement levels (nominal, ordinal, interval, ratio) is vital for appropriate statistical analysis.
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Data Presentation: Data should be organized and visualized (using tables and graphs) to enhance clarity and understanding.
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Data Analysis: Proper use of inferential statistics (such as t-tests, ANOVA) is necessary to draw conclusions from data collected in experiments.
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Description
This quiz covers essential concepts in research methods, focusing on correlational designs, informed consent, data collection methods, and sampling techniques. Dive into the intricacies of how variables are represented and the importance of ethical practices in research involving human subjects.
