Enhance Your Learning with SPSS Software Flash Cards for quick learning
A statistical software package used for data analysis, data management, and data documentation.
The process of bringing external data into SPSS for analysis, allowing users to work with data from various sources.
The process of saving SPSS data into external file formats, enabling users to share or use the data in other software.
A characteristic or attribute that can take on different values, representing a specific piece of information in a dataset.
A tabular representation of the dataset in SPSS, displaying rows as cases and columns as variables.
A view in SPSS that allows users to define and modify the properties of variables, such as their names, labels, and measurement scales.
Statistical measures that summarize and describe the main features of a dataset, including measures of central tendency and measures of dispersion.
The average value of a set of numbers, calculated by summing all the values and dividing by the total number of values.
The middle value in a set of numbers when they are arranged in ascending or descending order.
The value that appears most frequently in a set of numbers.
A measure of the amount of variation or dispersion in a set of values, indicating how spread out the values are from the mean.
Statistical techniques used to make inferences or draw conclusions about a population based on sample data.
A statistical procedure that allows researchers to test the validity of a claim or hypothesis about a population based on sample data.
A statistical test used to determine if there is a significant association between two categorical variables.
A statistical test used to compare the means of two groups and determine if there is a significant difference between them.
Analysis of Variance, a statistical test used to compare the means of three or more groups and determine if there is a significant difference between them.
A statistical technique used to model the relationship between a dependent variable and one or more independent variables.
A type of regression analysis that models the relationship between a dependent variable and one independent variable using a straight line.
A type of regression analysis that models the relationship between a dependent variable and multiple independent variables.
A statistical technique used to identify underlying factors or dimensions in a set of observed variables.
A type of factor analysis that transforms a set of correlated variables into a smaller set of uncorrelated variables called principal components.
A statistical technique used to group similar cases or objects together based on their characteristics or attributes.
A type of cluster analysis that partitions cases into a specified number of clusters based on their distances to the cluster centroids.
A type of cluster analysis that creates a hierarchy of clusters by successively merging or splitting existing clusters.
A statistical technique used to analyze and forecast data that is collected over a period of time, such as stock prices or weather patterns.
The correlation between a variable and its lagged values, indicating the presence of a relationship between past and future values.
A technique used to smooth out fluctuations in time series data by calculating the average of a specified number of consecutive observations.
A forecasting method that takes into account trend, seasonality, and level components in time series data.
The graphical representation of data to facilitate understanding and interpretation, using charts, graphs, and other visual elements.
A chart that uses rectangular bars to represent categorical data, with the length of each bar proportional to the values it represents.
A chart that displays the distribution of continuous data by dividing it into intervals and showing the frequency or count of values within each interval.
A chart that displays the relationship between two continuous variables, with each data point represented by a dot on the chart.
A chart that displays the distribution of a continuous variable through quartiles, showing the median, interquartile range, and outliers.
The process of identifying and correcting or removing errors, inconsistencies, or inaccuracies in a dataset.
Values that are not recorded or available for certain variables in a dataset, requiring special treatment during data analysis.
Extreme values that deviate significantly from the other values in a dataset, potentially affecting the results of statistical analysis.
The process of converting or modifying variables in a dataset to meet the assumptions or requirements of statistical analysis.
A data transformation technique that applies the natural logarithm function to reduce the skewness or compress the range of a variable.
A data transformation technique that rescales variables to have a mean of zero and a standard deviation of one, facilitating comparison and interpretation.
A programming language used in SPSS to automate repetitive tasks, perform complex analyses, and customize the software's functionality.
A feature in SPSS that provides a text-based interface for writing, editing, and executing SPSS syntax commands.
A reusable piece of code in SPSS syntax that allows users to define and execute a sequence of commands with a single command.
Keyboard combinations that provide quick access to frequently used commands or functions in SPSS, improving efficiency and productivity.
The process of checking and ensuring the accuracy, completeness, and consistency of data in a dataset, reducing errors and improving data quality.
The process of combining or summarizing data from multiple cases or variables into a single value or category, facilitating analysis and interpretation.
The process of selecting or excluding specific cases or variables from a dataset based on specified criteria, focusing on relevant data for analysis.
The process of combining two or more datasets based on a common variable, allowing users to analyze data from different sources together.
The process of dividing a dataset into multiple subsets based on specified criteria, enabling separate analysis or comparison of different groups.
Text or numeric values displayed on a chart to provide additional information or context about the data points or categories.
The process of modifying the appearance, layout, or formatting of a chart in SPSS to improve clarity, aesthetics, or visual impact.
Predefined or custom-designed settings that can be applied to charts in SPSS to ensure consistency or save time when creating similar charts.
The process of saving a chart in SPSS as an image file or copying it to other software for further editing, sharing, or presentation.
A window in SPSS that displays the results, tables, and charts generated from statistical analyses, allowing users to review, export, or print them.
The process of saving the results or output from SPSS analyses as a file in various formats, such as PDF, Excel, or Word, for further use or sharing.
The organization, annotation, and manipulation of the output files or objects in SPSS, facilitating efficient analysis, reporting, or collaboration.