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Statistics and SPSS for all released

Mon, 28 Jul 2008 11:26:45 +0700

In the middle of the competition among statistical software companies, SPSS as a leading player in the market has launched its new and more friendly statistical package call SPSS Statistics 17.0. This new release has unique features that make it more flexible and easy to use, both for users and experts. Among these features are better tools for research and reporting to address new business problems, new data types, new output formats; ease of use for beginners and greater functionality for advanced users; better visualization tools; and integration with existing SPSS products (e.g., data-mining tool Clementine) and other vendor tools (e.g., data stored in Oracle).

NVivo 8 has fabulous new features

Fri, 01 Aug 2008 18:36:52 +0700

Qualitative Data Analysis with NVivo: NVivo 8 has fabulous new features that combines almost all tools that are required to facilitate qualitative data management or analysis. Previous version has a limitation because it can only handle written data. This new version has solved this problem with the ability to store audio and video sources. See more details ...

Applying the Rasch Model: Fundamental Measurement in the Human Sciences

Tue, 17 Jun 2008 17:00:00 +0700

Rasch model is a relatively to model in item analysis relative to the reliability test known as Crombach's alpha in classical theory. This model is found more accurate in estimation compared to the classical theory. "Mitchell (1999) wrote eloquently about problems related to measurement properties commonly ignored in social science research (Grimbeek, 1999). Bond and Fox acknowledge these concerns and outline solutions based on the Rasch model,

Describe and Explore your Data with Histogram Using SPSS 16.0

Wed, 13 Aug 2008 19:47:41 +0700

Describe and Explore your Data with Histogram: With SPSS Program, you can describe and explore your data using different types of graphs, such as histogram, bar graphs, scatterplots, boxplots, and line graphs. At the moment, I will explain how to create a histogram. Histogram is used to display the distribution of a single continuous variable, like age and Likert-type item scores.

From the menu at the top of the screen, click on Graphs, then on Histogram.
Click on your variable of interest and move it to the Variable box (e.g. age).

Assessing the Normality of your Data

Sun, 27 Jul 2008 12:41:13 +0700

Many statistical analysis techniques hold the assumption that the distribution of scores on the dependent variable is normal. Normality is described as a symmetrical bell-shaped curve where the greatest frequency of the scores in the middle and with the smaller frequencies toward the extremes. Apart from checking normality of the skewness and kurtosis values, using the Explore option of the Descriptive Statistics menu is another way of doing it.

Descriptive Statistics using SPSS 16.0: Categorical Variables

Thu, 17 Jul 2008 23:09:05 +0700

We have talked about descriptive statistics in general. Now, I would like to share with you how to work with categorical variables in terms of obtaining descriptive statistics for categorical variables. When you want to know how many people gave each responses (e.g. how many males and females in your samples), you should use Frequencies analysis. Frequencies is used for categorical data because it does not make any sense asking for means, standard deviations, maximum and minimum, etc. for categorical variables.

Measurement in Educational Research

Sun, 15 Jun 2008 16:04:56 +0700

Education is concerned with teaching and learning, but learning outcomes cannot be examined effectively unless the human characteristics, that are changed by learning, can be measured with sufficient accuracy to enable the factors influencing learning to be investigated. Marked developments have occurred in the theory of educational measurement over the past 40 years.

Descriptive Statistics Using SPSS 16.0: Continuous Variables

Sat, 26 Jul 2008 09:28:04 +0700

We have talked about the procedure to obtain descriptive statistics for categorical variables. Now, I want to show you the procedure of obtaining descriptive statistics for continuous variables:

Checking for Outliers

Wed, 30 Jul 2008 15:16:29 +0700

Many statistical techniques are sensitive to outliers. The previous techniques that we have talked about under the descriptive section can also be used to check for outliers. However, there is alternative way to assess them.

Procedure for Identifying Outliers:

From the menu at the top of the screen, click on Analyze, then click on Descriptive Statistics, then Explore.
In the Display section, make sure Both is selected. This provides both Statistics and Plots.
Click on your variable (e.g. most important problems in 12 months), and move it into the Dependent list box.

Hierarchical Linear Modeling

Fri, 27 Jun 2008 00:59:32 +0700

Three Areas in Educational Research Pose Major Problems of Data Analysis:

Learning and the measurement of change
Organizations and the analysis of multilevel data involving schools, classrooms and students
Meta analysis that combines the results from multiple findings from multiple studies. Full Reading ...