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Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

From Mon 15 February 2021 to Fri 19 February 2021
8:30 AM - 4:30 PM
Ended


Dear all,RE: ADVANCED STATISTICAL ANALYSIS USING STATISTICAL PACKAGE FOR SOCIAL SCIENCES SPSS [https://bit.ly/2HO49GO] FineResults Research Services [http://fineresultsresearch.org/training/] would like to invite you to high impact training on : Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS [https://bit.ly/2HO49GO] to be held in NAIROBI from 15TH- 19TH FEBRUARY, 2021. EVENT INFORMATION COURSE NAME : Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS [https://bit.ly/2HO49GO]  VENUE : FINERESULTS RESEARCH, NAIROBI, KENYA EVENT DATE : 15TH- 19TH FEBRUARY, 2021. COURSE FEE : KES 65,000 or USD 800 REGISTRATION : REGISTER HERE [https://bit.ly/2F5SDpu]  INTRODUCTION SPSS means Statistical Package for the Social Sciences, and it is appropriate for complex statistical data analysis of social science data. SPSS software allows for thorough data management in terms of organizing and managing data and also offers the user a lot of control. Other benefits of the software in data analysis includes it is good in data screening and cleaning, Better organization of the output in a separate window with the data editor window which avoid any data being deleted. This 5 days course intends to equip participants with advanced techniques using SPSS software.   DURATION 5 days   TARGET PARTICIPANTS Researchers, students, anyone who interested in enhancing his/ her data analysis skills   COURSE OBJECTIVES By the end of the training, you will be able to: • Understand both descriptive and inferential statistics • Understand various data collection techniques and data processing methods • Use basic functions and navigation within Stata and SPSS software • Create and manipulate graphs and figures in SPSS software • Handle statistical data analysis tasks in SPSS software • Export the results of your analyses.   TOPICS TO BE COVERED MODULE 1: STATISTICAL CONCEPTS • Statistical Concepts • Types of data • Data Structures and Types of Variables • Overview of SPSS • Working with the SPSS software (file management, editing functions, viewing options, etc) • Output Management • Basics programming of SPSS   MODULE 2: DATA ENTRY/MANAGEMENT • Entering categorical and continuous data • Defining and labeling variables • Validation and Sorting variables • Transforming, recording and computing variables • Restructuring data • Replacing missing values • Merging files and restructuring • Splitting files, Selecting cases and weighing cases • Syntax and output   MODULE 3: STATISTICAL INFERENCE AND DESCRIPTIVE STATISTICS • Tests of Association • Tests of Difference • Hypothesis testing   Measures of Variability and Central Tendency    • Describing quantitative data • Describing qualitative data   Graphics in Data Analysis • Graphing quantitative data • Graphing qualitative data • Advanced graphics options   Correlation    • Correlation of bivariate data • Subgroup Correlations • Scatterplots of Data by Subgroups • Overlay Scatterplots   MODULE 4: TEST STATISTICS AND TESTS OF ASSOCIATIONS Comparing Means • One Sample t-tests • Paired Sample t-tests • Independent Samples t-tests • Comparing Means Using One-Way ANOVA   • MANOVA: multivariate analysis of variance • Repeated Measures ANOVA   Tests of associations • Goodness of Fit Chi Square All Categories Equal • Goodness of Fit Chi Square Categories Unequal • Chi Square for Contingency Tables • Pearson Correlation • Spearman Correlation   Nonparametric Statistics   • Mann-Whitney Test • Wilcoxon’s Matched Pairs Signed-Ranks Test • Kruskal-Wallis One-Way ANOVA • Friedman’s Rank Test for k Related Samples   Comparing Means Using Factorial ANOVA   • Factorial ANOVA Using GLM Univariate • Simple Effects   MODULE 5: COMPARING MEANS USING REPEATED MEASURES ANOVA • Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs • Multiple Comparisons   Other topics • Multiple Regression Analysis • Logistic regression (Binary & Multinomial) • Cluster Analysis • Factor analysis NB: WE ARE OFFERING YOU A HALF DAY, FUN AND INTERACTIVE TEAM BUILDING EVENT! ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org   PAYMENT Payment should be transferred to FINERESULTS RESEARCH Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org   Visit our website for more details [https://bit.ly/2pzFkWp]  HOW TO PARTICIPATE Individual Registration CONTACT INFORMATION Email:training@fineresultsresearch.org  TEL: +254 732 776 700 / +254 759 285 295 Website: fineresultsresearch.org/training/ [http://fineresultsresearch.org/training/]  Visit our face book page [https://bit.ly/2lOxV36]  Visit our linkedin page [https://bit.ly/38qa4uE]  Visit our twitter account [https://bit.ly/38oZRi7] 
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20/02/2021 Last update

FineResults Research
Church Road, Nairobi, Nairobi County, Kenya

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