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ANOVA Bi-variate Broadcast Central Tendency Chi Square test Concepts Correlation dependent t-test Dispersion Distributions Literature Review Marketing Mean Media Median Media Research Mode Models Music Podcast Qualitative Quantitative Radio Regression Reliable Replicability Reporting Research Areas Research Design Research General Research Ideas Research Methods Sampling Scales SPSS Statistics Streaming Study design t-test Television Testing Thematic Analysis Theory Topics Video

• Anova
• Chi Square test
  The Chi-Square test is a statistical method used to determine if there is a significant association between categorical variables or if a categorical variable follows a hypothesized distribution. There are two main types of Chi-Square tests: the Chi-Square Test of Independence and the Chi-Square Goodness of Fit Test. The Chi-Square Test of Independence assesses whether… Read more: Chi Square test
• Convenience Sampling
  Convenience sampling is a non-probability sampling technique where participants are selected based on their ease of access and availability to the researcher, rather than being representative of the entire population (Scribbr, 2023; Simply Psychology, 2023). This method is often used in preliminary research or when resources are limited, as it allows for quick and inexpensive… Read more: Convenience Sampling
• Convenience Sampling
  Convenience sampling is a non-probability sampling method where participants are selected based on their accessibility and proximity to the researcher. When citing convenience sampling in APA format, in-text citations should include the author’s last name and the year of publication. For example, “Convenience sampling is often used in exploratory research (Smith, 2020).” Convenience sampling may… Read more: Convenience Sampling
• Correlation (Scale Variables)
  Correlation for scale variables is often assessed using the Pearson correlation coefficient, denoted as $$ r $$, which measures the linear relationship between two continuous variables (Statology, n.d.; Scribbr, n.d.). The value of $$ r $$ ranges from -1 to 1, where -1 indicates a perfect negative linear correlation, 0 indicates no linear correlation, and… Read more: Correlation (Scale Variables)
• Correlation Ordinal Variables
  Correlation for ordinal variables is typically assessed using Spearman’s rank correlation coefficient, which is a non-parametric measure suitable for ordinal data that does not assume a normal distribution (Scribbr, n.d.). Unlike Pearson’s correlation, which requires interval or ratio data and assumes linear relationships, Spearman’s correlation can handle non-linear monotonic relationships and is robust to outliers.… Read more: Correlation Ordinal Variables
• 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… Read more: Dependent t-test
• 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… Read more: Independent t-test
• Levels of Measurement (video)
  Levels of measurement are classifications used to describe the nature of data in variables. There are four main levels of measurement: nominal, ordinal, interval, and ratio. Nominal Level The nominal level is the lowest level of measurement. It uses labels or categories to classify data without any inherent order or ranking[1][4]. Examples include: At this… Read more: Levels of Measurement (video)
• Mean
  The mean, often referred to as the average, is a measure of central tendency that is widely used in statistics to summarize a set of data. It is calculated by summing all the values in a dataset and then dividing by the number of values. This measure provides a single value that represents the center… Read more: Mean
• Measures Of Central Tendency in SPSS
• Median
  The median is a measure of central tendency that represents the middle value in a data set when it is ordered from least to greatest. Unlike the mean, which can be heavily influenced by outliers, the median provides a more robust indicator of the central location of data, especially in skewed distributions (Smith, 2020). To… Read more: Median
• Min, Max and Range
  In statistics, the minimum, maximum, and range are important measures used to describe the spread of data. The minimum is the smallest value in a dataset, while the maximum is the largest value. The range, which is the difference between the maximum and minimum values, provides a simple measure of variability in the data. While… Read more: Min, Max and Range
• Mode
  The mode is a statistical measure that represents the most frequently occurring value in a data set. Unlike the mean or median, which require numerical calculations, the mode can be identified simply by observing which number appears most often. This makes it particularly useful for categorical data where numerical averaging is not possible. For example,… Read more: Mode
• Quick Intro Main Functions SPSS
• Quick Overview SPSS
• Sampling
  Sampling is a fundamental concept in research methodology, referring to the process of selecting a subset of individuals or observations from a larger population to make inferences about the whole (Creswell & Creswell, 2018). This process is crucial because it allows researchers to conduct studies more efficiently and cost-effectively, without needing to collect data from… Read more: Sampling
• SPSS Bi-Variate Analysis
• SPSS Make Dataset Ready
• Standard Deviation
  Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values. In simpler terms, it indicates how much individual data points in a dataset deviate from the mean (average) value. A low standard deviation means that the data points tend to be close to the mean, whereas… Read more: Standard Deviation
• Writing a Research Report
  A research report is a structured document that presents the findings of a study or investigation. It typically consists of several key parts, each serving a specific purpose in communicating the research process and results. The report begins with a title page, which includes the title of the research, author’s name, and institutional affiliation. Following… Read more: Writing a Research Report