tag:blogger.com,1999:blog-47839599706142761442019-07-22T02:11:01.795-07:00SPSS TestsStep by step guide to data analysis using SPSSSPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.comBlogger24125tag:blogger.com,1999:blog-4783959970614276144.post-68680187842655735722018-12-12T21:42:00.000-08:002018-12-12T21:42:46.565-08:00Normal Probability Plot Test for Regression in SPSS CompleteNormal Probability Plot Test for Regression in SPSS Complete | Procedures that must be fulfilled in the regression analysis are data that are normally distributed. The way to find out a normal or abnormal data can be done with a probability plot.
Case Example of Normal Probability Plot Test for Regression in SPSS
The company manager wants to find out whether the regression model influences SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-32404698904351154292018-12-03T07:25:00.000-08:002018-12-03T07:25:27.310-08:00How to Levene's Statistic Test of Homogeneity of Variance Using SPSSHow to Levene's Statistic Test of Homogeneity of Variance Using SPSS | Homogeny has the same meaning as type, same nature, same character, and so on. In homogeneity test research is used to determine whether or not there are similarities in the variance of a data group. Homogeneity tests are often found in parametric statistical analysis such as independent sample t test and ANOVA test.
Case SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-74038125882816819642018-11-23T20:09:00.000-08:002018-11-23T20:24:40.599-08:00How to Shapiro Wilk Normality Test Using SPSS InterpretationHow to Shapiro Wilk Normality Test Using SPSS Interpretation | The basic principle that we must understand is that the normality test is useful to find out whether a research data is normally distributed or not normal. In parametric statistical analysis the requirements that must be met are data that are normally distributed.
One way to identify normality of data can be done using the Shapiro SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com3tag:blogger.com,1999:blog-4783959970614276144.post-67424895323411546412018-05-11T09:35:00.000-07:002018-05-11T09:37:17.992-07:00How to Mann Whitney U Test in SPSS Completed SuccessfullyHow to Mann Whitney U Test in SPSS Completed Successfully | Mann Whitney U Test is part of non parametric statistical test that aims to determine whether there is a difference in the average group with independent samples. Mann Whitney U Test is an independent sample t test when the research data is not normally distributed.
Requirements Mann Whitney U Test in SPSS
To do Mann Whitney U SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-60438777547597086952018-02-18T17:50:00.001-08:002018-02-18T17:50:56.045-08:00Step by Step Chi Square Test with Crosstabs in SPSS CompleteStep by Step Chi Square Test with Crosstabs in SPSS Complete | Chi square test aims to see the relationship between independent variables to the dependent variable. To perform chi square test in SPSS we can use crosstabs facility. The crosstabs command is useful for displaying contingency tables that indicate a shared distribution, description of bivariate statistics, and also to know whether SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-61178391927950685962017-11-02T00:47:00.000-07:002018-05-11T09:39:59.875-07:00Step by Step Independent Samples T-Test in SPSS 21Step by Step Independent Samples T-Test in SPSS 21 | The main use of Independent sample t test is to compare the average of two case groups. In order for the results of the study to be good, the subjects studied should be randomly selected for both groups being compared. This is done if there is a difference in the answer because of the treatment or lack of treatment, not because of other factorsSPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-79637566342894723972017-10-19T21:11:00.000-07:002018-05-11T09:37:06.867-07:00Non Way Parametric Test Wilcoxon using SPSS CompleteNon Way Parametric Test Wilcoxon using SPSS Complete | The Wilcoxon test is used to determine the difference in mean of two samples which are mutually exclusive. The wilcoxon test is a part of nonparametric statistics. Therefore, in the wicoxon test it is not necessary for normal distributed research data
Sample Case In Wilcoxon Test using SPSS
A teacher wants to examine whether student SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-87328514526686541912017-10-12T02:05:00.002-07:002017-10-29T20:12:40.872-07:00Heteroscedasticity Chart Scatterplot Test Using SPSS
Heteroscedasticity Chart Scatterplot Test Using SPSS | Heteroscedasticity test is part of the classical assumption test in the regression model. To detect the presence or absence of heteroskedastisitas in a data, can be done in several ways, one of them is by looking at the scatterplot graph on SPSS output.
The working principle of heteroscedasticity test with this method is to see the SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com2tag:blogger.com,1999:blog-4783959970614276144.post-61178874932505926972015-05-14T01:12:00.000-07:002017-03-30T19:46:01.324-07:00How to test Spearman Rank Correlation Coefficient Using SPSSHow to test Spearman Rank Correlation Coefficient Using SPSS | Spearman Rank Correlation Test is part of the non-parametric statistics. As it is known that the non-parametric statistic does not require the terms as contained in parametric statistics, such data must be normally distributed and have the same variant
Spearman Rank Correlation test aims to examine the relationship between two SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com1tag:blogger.com,1999:blog-4783959970614276144.post-57644794129320203482015-04-29T08:47:00.001-07:002017-03-30T19:46:01.321-07:00Method Multiple Linear Regression Analysis Using SPSS
Method Multiple Linear Regression Analysis Using SPSS | Multiple linear regression analysis to determine the effect of independent variables (there are more than one) to the dependent variable. To test multiple linear regression first necessary to test the classical assumption includes normality test, multicollinearity, and heteroscedasticity test. Classical assumption does this because SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com2tag:blogger.com,1999:blog-4783959970614276144.post-49509911137195676412015-04-28T09:08:00.002-07:002017-03-30T19:46:01.313-07:00Step by Step Simple Linear Regression Analysis Using SPSS
Step by Step Simple Linear Regression Analysis Using SPSS | Regression analysis to determine the effect between the variables studied. Variables that affect so called independent variables, while the variable that is affected is called the dependent variable. The independent variable is marked with the letter X, while the dependent variable is marked with the letter Y.
Regression analysis basedSPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-70033636164237313562015-04-26T23:39:00.000-07:002017-03-30T19:46:01.335-07:00Correlation Pearson Product Moment Using SPSS
Correlation Pearson Product Moment Using SPSS | Correlation test used to determine the level of the relationship between the study variables. Pearson Product Moment Correlation suitable for research data in the form of a ratio. Pearson Product Moment correlation test can produce a correlation coefficient that shows: the relationship, the degree of relationship, and the direction of the SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com6tag:blogger.com,1999:blog-4783959970614276144.post-37688129784432077402015-04-14T07:11:00.000-07:002018-05-11T09:36:53.149-07:00Paired Samples t-test Example Using SPSS
Paired Samples t-test Example Using SPSS | Paired Sample t Test is part of parametric inferential statistics. Paired sample t test was used to determine whether there is distinction has an average of two samples are paired. Requirements that must be met prior to the Paired sample t test is normally distributed data must.
Basic Decision Making in Paired Sample t Test
If the value of Sig. (SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-43368726874325966512015-03-15T00:55:00.000-07:002017-03-30T19:46:01.310-07:00How to Make a Frequency Distribution Table Data Using SPSS
How to Make a Frequency Distribution Table Data Using SPSS | Statistics frequency distribution included in univariate statistical categories. Frequency distribution is used to provide an overview and brief glimpse of a group of data in a frequency table.
For example, in this article I will make a frequency distribution table by Gender using SPSS. The data can be seen sex in the picture below.
SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com0tag:blogger.com,1999:blog-4783959970614276144.post-32878492786499694822015-03-09T03:06:00.003-07:002017-03-30T19:46:01.304-07:00Test Heteroskedasticity Glejser Using SPSS
Test Heteroskedasticity Glejser Using SPSS | Heteroskedasticity useful to examine whether there is a difference in the residual variance of the observation period to another period of observation. A Good regression model is not the case heteroscedasticity problem. Many statistical methods that can be used to determine whether a model is free from the problem of heteroscedasticity or not, such SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com6tag:blogger.com,1999:blog-4783959970614276144.post-61725776981143518542015-03-07T09:49:00.000-08:002017-03-30T19:46:01.330-07:00Multicollinearity Test Example Using SPSS
Multicollinearity Test Example Using SPSS | After the normality of the data in the regression model are met, the next step to determine whether there is similarity between the independent variables in a model it is necessary to multicollinearity test. Similarities between the independent variables will result in a very strong correlation. In addition, multicollinearity test done to avoid habits SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com12tag:blogger.com,1999:blog-4783959970614276144.post-50080852079097958622015-03-02T22:48:00.000-08:002017-03-30T19:46:01.316-07:00Step By Step to Test Linearity Using SPSS
Step By Step to Test Linearity Using SPSS | Linearity test aims to determine the relationship between independent variables and the dependent variable is linear or not. The linearity test is a requirement in the correlation and linear regression analysis. Good research in the regression model there should be a linear relationship between the free variable and dependent variable.
Decision-makingSPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com4tag:blogger.com,1999:blog-4783959970614276144.post-56167385619970162212015-03-01T11:25:00.003-08:002018-05-11T09:36:34.550-07:00How to test normality with the Kolmogorov-Smirnov Using SPSS
How to test normality with the Kolmogorov-Smirnov Using SPSS | Data normality test is the first step that must be done before the data is processed based on the models of research, especially if the purpose of the research is inferential. Normality test is intended to determine the distribution of the data in the variable that will be used in research. Data were good and decent used in research SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com6tag:blogger.com,1999:blog-4783959970614276144.post-13637246222024914312015-02-26T11:18:00.000-08:002017-03-30T19:46:01.298-07:00How to Test Reliability Method Alpha Using SPSSHow to Test Reliability Method Alpha Using SPSS | instruments are valid and reliable research is a necessary condition to obtain high-quality research results. To that end, it is necessary to test the validity and reliability to determine whether the instrument used in the study are valid and reliable. In the past I've been practicing How Validity questionnaire Using SPSS and the obtained resultsSPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com3tag:blogger.com,1999:blog-4783959970614276144.post-11177724422234628182015-02-25T02:32:00.000-08:002017-03-30T19:46:01.291-07:00How to Test Validity questionnaire Using SPSS
How to Test Validity questionnaire Using SPSS | The validity and reliability the instrument is essential in research data collection. Therefore, the correct data will be determining true the results of research quality. While true or not the data is highly dependent on true or not the research instrument.
Validity is a measure of the degree of validity or the validity of a research instrument. SPSS Testshttp://www.blogger.com/profile/04183450027875955819noreply@blogger.com19tag:blogger.com,1999:blog-4783959970614276144.post-61541764824069008432015-01-21T04:58:00.002-08:002017-03-30T19:46:01.327-07:00Privacy PolicyPrivacy Policy for http://www.spsstests.com/
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