Tag: Quantitative
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Shapes of Distributions (Chapter 5)
Probability distributions are fundamental concepts in statistics that describe how data is spread out or distributed. Understanding these distributions is crucial for students in fields ranging from social sciences to engineering. This essay will explore several key types of distributions and their characteristics. Normal Distribution The normal distribution, also known as the Gaussian distribution, is…
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Check List Survey
Alignment with Research Objectives Question Relevance and Specificity Comprehensiveness Logical Flow and Structure Data Quality and Usability Respondent Engagement Clarity and Comprehension Bias Mitigation Measurement Precision Validity Checks Adaptability and Flexibility Actionability of Results Ethical Considerations
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Example setup Experimental Design
Experimental design is a crucial aspect of media studies research, as it allows researchers to test hypotheses about media effects and gain insights into the ways that media affects individuals and society. In this blog post, we will delve into the basics of experimental design in media studies and provide examples of its application. Step…
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Experimental Design
Experiments are a fundamental part of the scientific method, allowing researchers to systematically investigate phenomena and test hypotheses. Setting up an experiment is a crucial step in the process of conducting research, and it requires careful planning and attention to detail. In this essay, we will outline the key steps involved in setting up an…
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Example Before and After Study
Research question: Does watching a 10-minute news clip on current events increase media literacy among undergraduate students? Sample: Undergraduate students who are enrolled in media studies courses at a university Before measurement: Administer a pre-test to assess students’ media literacy before watching the news clip. This could include questions about the credibility of sources, understanding…
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Dependent t-test
The dependent t-test, also known as the paired samples t-test, is a statistical method used to compare the means of two related groups, allowing researchers to assess whether significant differences exist under different conditions or over time. This test is particularly relevant in educational and psychological research, where it is often employed to analyze the…
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Independent t-test
The independent t-test, also known as the two-sample t-test or unpaired t-test, is a fundamental statistical method used to assess whether the means of two unrelated groups are significantly different from one another. This inferential test is particularly valuable in various fields, including psychology, medicine, and social sciences, as it allows researchers to draw conclusions…
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Podcast Statistical Significance (Chapter 11)
Statistical significance is a fundamental concept that first-year university students must grasp to effectively interpret and conduct research across various disciplines. Understanding this concept is crucial for developing critical thinking skills and evaluating the validity of scientific claims. At its core, statistical significance refers to the likelihood that an observed effect or relationship in a…
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Longitudinal Quantitative Research
Observing Change Over Time Longitudinal research is a powerful research design that involves repeatedly collecting data from the same individuals or groups over a period of time, allowing researchers to observe how phenomena change and develop. Unlike cross-sectional studies, which capture a snapshot of a population at a single point in time, longitudinal research captures…
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Cohort Study
A cohort study is a specific type of longitudinal research design that focuses on a group of individuals who share a common characteristic, often their age or birth year, referred to as a cohort. Researchers track these individuals over time, collecting data at predetermined intervals to observe how their experiences, behaviors, and outcomes evolve. This…
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Bi-Modal Distribution
A bi-modal distribution is a statistical distribution that has two peaks in its frequency distribution curve, indicating that there are two distinct groups or subpopulations within the data set. These peaks can be roughly equal in size, or one peak may be larger than the other. In either case, the bi-modal distribution is a useful…
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Podcast Sampling (Chapter 10)
An Overview of Sampling Chapter 10 of the textbook, “Introduction to Statistics in Psychology,” focuses on the key concepts of samples and populations and their role in inferential statistics, which allows researchers to generalize findings from a smaller subset of data to the entire population of interest. Random Samples and Their Characteristics The chapter emphasizes…
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A/B testing
In this blog post, we will discuss the basics of A/B testing and provide some examples of how media professionals can use it to improve their content. What is A/B Testing? A/B testing is a method of comparing two variations of a webpage, email, or advertisement to determine which performs better. The variations are randomly…
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Why Use Z-Scores in Statistics
If you’re a student, researcher, or professional working in the field of statistics, you’ve likely heard of Z-scores. But why use Z-scores in your data analysis? In this blog post, we’ll explain why Z-scores can be so beneficial to your data analysis and provide examples of how to use them in your quantitative research. By…