images of research oriented spss

• spss training in lalitpur

• spss training in kathmandu

• spss training in nepal

Theory of spss

• SPSS TRAINING IN KATHMANDU

SPSS OMS Tutorial – Creating Data from Output

SPSS OMS (short for Output Management System) can convert your output to SPSS datasets. As we'll demonstrate in a minute, this can save you huge amounts of time, effort and frustration.

We recommend you follow along by downloading and opening course_evaluation.sav, part of which is shown below.

• SPSS TRAINING IN LALITPUR

Today’s Challenge

Some client wants to see charts holding correlations of q2 through q6 with q1 for each study major (psychology, anthropology) separately as shown here. This request -not unusual in market research- typically makes novice SPSS users

panic,

run the correlations in SPSS,

copy/paste everything into Excel sheets and

generate the charts one by one.

Unknown to many SPSS users, there's a much -much- faster way for getting this job done. It's called OMS.

Step 1: Split File

We'd normally always start with a routine data inspection but that's been done for you in this case. Now, a fast way for just running the desired correlations is by using SPLIT FILE. The syntax below shows how to do so.

Step 2: OMS Control Panel

Right, we created our correlations but they're in our Output Viewer window. We can't create charts from tables in our output window so we need this correlation table in data view instead.

We'll do just that by navigating to Utilities SPSS Menu Arrow OMS Control Panel which is shown below.

We'll follow the steps in the screenshot: we select our correlation table in the left half of the dialog.

It's a best practice to always specify an ID here. In this case, “corid” is short for “correlation id”

We then select New Dataset in the right half of the dialog. “cords” is short for “correlation dataset”.

Clicking Paste triggers a popup dialog confirming our OMS request. Just ignore it.

Clicking Ok then generates the first block of the syntax below. We then (manually) added two lines to it.

SPSS OMS Syntax Example

SPSS OMS Syntax - How Does It Work?

The next figure explains how our syntax basically works. In a nutshell,

the OMS command has SPSS monitor selected output following it so

our correlation table is captured by the OMS.

OMSEND then stops SPSS from monitoring output and create our desired correlations dataset.

SPSS OMS - OMS Syntax Explained

Result

SPSS OMS - 

We now have our correlation matrix in an SPSS dataset, which allows us to run charts on it. We'll prepare these data a tiny bit before doing so with the syntax below.

*1. Activate newly created correlations dataset.

dataset activate cords.

*2. Delete all rows that don't hold correlations.

select if char.index(var3,'Pearson') > 0.

execute.

*3. Split file by var1 

smile emoticon

 study major).

sort cases by var1 howdoyouratethiscourse.

split file by var1.

Step 3: Creating Our Charts

We'll now create our desired charts by following the figure below. Since we're using SPLIT FILE, we need only one single command for creating all charts at once.

SPSS OMS - 

In the second dialog (below), choose a nice main title for your charts. We decided upon “Correlations with Course Rating”.

SPSS OMS - 

Following these steps results in the syntax below. Running it generates all desired charts.

SPSS Bar Chart Syntax Example

*Create actual charts.

GRAPH /BAR(SIMPLE)=VALUE(Howdoyouratethiscourse) BY Var2/title 'Correlations with Course Rating'.

Step 4: Prettifying our Charts

We now have the charts we wanted. A nice trick to make them look great with little effort is creating a chart template for them.

We double click just one of our charts and transpose it as shown below.

SPSS OMS - 

Next, we change the colors, fonts, layout, everything in our first chart until it looks nice. Then navigate to File SPSS Menu Arrow Save Chart Template as explained in SPSS chart templates.

SPSS - Creating Pretty Charts

Finally, we activate the chart template we just created (step 3 below, first set path to .sgt file correctly). We then rerun the GRAPH command we pasted and ran previously and - there you go - five pretty charts in a split second.

If you ever get a similar request for different data, you can now rerun your syntax on it and you'll be done in seconds. As a bonus, you can probably (edit and) reuse your chart template other bar charts too.

Final Syntax Using Chart Template

*1. Apply variable label (shows up in chart subtitle).

variable labels var1 "Study Major".

*2. Suppress excessive decimal places.

formats howdoyouratethiscourse (f1).

*3. Activate newly created chart template (set path appropriately).

set ctemplate 'my-project-folder\my-template.sgt'.

*4. Rerun all graphs at once with chart template.

GRAPH /BAR(SIMPLE)=VALUE(Howdoyouratethiscourse) BY Var2/title 'Correlations with Course Rating'.

*5. Switch off chart template for any future graphs.

set ctemplate none.

Final Result

SPSS OMS - 

Final Notes

SPSS OMS can be a tremendous time saver. Today's tutorial redirected a single correlation table to an SPSS dataset but you can very easily create a single dataset holding output from 1,000 or more output tables. In fact, we did just that in the simulation studies we presented when explaining the basic idea behind ANOVA, regression and the chi-square test. In these studies we basically

used one OMS command for capturing all ANOVA tables,

ran ANOVA on 1,000 random samples from a population data file,

ran OMSEND for creating a dataset with 1,000 F-values and

created a histogram for visualizing our sampling distribution.

As we see, SPSS OMS opens up a lot of possibilities. We hope it'll help you save time and effort as well!

• SPSS TRAINING IN KATHMANDU
• spss training center in nepal
• SPSS TRAINING IN LALITPUR

BASIC COURSE CONTENT OF SPSS

Basic SPSS

1. Introduction

• About SPSS
• Defining Variables: Qualitative and Quantitative Variables
• Brief Concept of Measurement of scale
• Entering Data in the SPSS Spreadsheet
• Importing and Exporting Data
• Coding the Data

2. Data Management

• Inserting and deleting cases and variables
• Sorting cases
• Select Cases with and without random sampling
• Data Transformation
• Computing New Variables
• Re-Coding

3. Data Processing and Tabulation

• Presentation and Tabulation of Data
• Summarizing Data
• Descriptive Statistics

4. Data Exploration

• Box and Whisker plot
• Histogram with Normality Plot
• Stem and Leaf Plot

5. Graphical Presentation

• Concept of Charts and diagrams
• Simple, sub-divided, Multiple diagrams
• Pie-Charts
• Scatter/Dot Plots
• Popularity Pyramid

6. Analysis I

• Cross Tabulation for
• Two Attributes
• Three Attributes

7. Analysis II

• Concept of Estimation and Hypothesis Testing
• T-test for single Mean
• Z-test for single Mean
• T-test for Difference of Two Means
• Z-test for Difference of Two Means
• Paired t-test for single Means
• One way ANOVA
• POST-HOCK tests

WHAT YOU REQUIRE:

Interested organizations/institutions/individuals are expected to have laptop(s) while attending the workshop, and individuals attending should be from any discipline. Please feel free to bring your own datasets for practice while performing the tasks demonstrated by the trainer. If you have SPSS already installed on your machine the better. However it is not a must because you will be provided with a temporary version for the training.

Further more details:

• spss training in lalitpur
• spss training in kathmandu
• spss training in nepal

basic course content of SPSS

COURSE CONTENT:

The course is organized in modules and each module covers a reasonable content to enable participants connect and progress successively in the next modules.

Module 1: SPSS interface and features

Module 2: Data storage types, measures & data management in SPSS

Module 3: Creating & editing quantitative & categorical graphs/charts

Module 4: Advanced data tabulation

 Module 5: Point estimation & hypotheses testing

Module 6: Inferential analysis

Module 7: Analysis  I/II

• spss training in lalitpur
• spss training in kathmandu
• spss training in nepal

Advance SPSS Course content

Advance SPSS Course

spss training in lalitpur

1. Defining Variables

2. Measurement of scale

• Nominal
• Ordinal
• Interval
• Ratio

3. Explorative Data Analysis

• Histogram
• Box and whisker plot

4. Data management

• Sort Cases
• Merge Files
• Select Cases
• Weight Cases
• Split Files
• Identify Duplicate Cases
• Identify Unusual Cases
• Define Multiple Response Sets
• Transpose

5. Transformation

• Compute Variables
• Record into Same Variables
• Record into Different Variables
• Rank Cases
• Create Time Series
• Replace Missing Values
• Random Number Generator

6. Report and Descriptive Statistics

• Cases Summaries
• Crosstabs ( Simple Bi-Variate Frequency Analysis)

7. Cross Table (Advanced Classification Analysis)

• Chi-Square Tests for Independence of Attributes
• Degree of Association for Multi-variate Nominal Attributes
• Degree of Association for Multi-variate Ordinal Attributes

8. Cross Table II(Advanced Classification Analysis)

• Tests of agreement between two or more attributes [Kappa, Risk(Relative Risk)]
• Mo-Nemar’ Test (A non- parametric test for related sample)
• Association between nominal and interval type data (Measured by statistics: Eta)
• Cochran’s and Mantel-Haenszel Statistics

9. Regression Analysis I

• Simple Linear Regression
• Curve Estimation

spss training in lalitpur

spss training in kathmandu

spss training in nepal

course details of spss

Course: Statistical Package for the Social Sciences (SPSS)

Duration: 20 hours

Time: 1 hour/day( Theory + Practical)

Introduction

SPSS COURSE Statistical Package for the Social Sciences (SPSS) is a comprehensive and flexible statistical analysis and data management solution produced by IBM and makes statistical data analysis straightforward. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses spss training in lalitpur

WHY THIS SPSS COURSE?

SPSS is a widely used program for statistical analysis in social science. SPSS is a powerful suite of data analytics, reporting and modeling software. It is the data analytics software package of choice for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to quickly and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners. spss training in kathmandu

SPSS functionality ranges from simple plots and charts; through to much more sophisticated statistical tests. Although very broadly applicable, SPSS is very well-suited to analyzing survey data. It has a very broad range of applications from the relatively simple like calculating frequencies and creating lists and charts through to the far more advanced like variance analysis, multivariate statistical analysis and cluster analysis. It is also useful in building predictive models. spss training in nepal

location of spss training center in kathmandu

spss training in nepal

Research Oriented SPSS Training

spss training in lalitpur

SPSS course

spss training in ktm

SPSS has an extensive variety of use on factual division of verging on each business. SPSS is a standout amongst the most exact and client particular device for factual investigation right now being used in the business. Measurement is broadly utilized as a part of business for statistical surveying, item research and research on client needs. Associations working with colossal measure of information that requirements to handle the information to create precise results will utilize SPSS program. SPSS bundle are utilized by governments, business, instruction associations and the information of SPSS will unquestionably advantage any association. The understudies after consummation of the instructional class can try to act as a Statistician, Data investigator or scientist.

SPSS training in Nepal

Spss training in Nepal

Job oriented Training in Nepal

SPSS training in Nepal

SPSSis a comprehensive and flexible statistical analysis and data management solution produced by IBM and makes statistical data analysis straightforward.

SPSS training in Ktm

Open Eyes provides professional Job Oriented SPSS Training in Kathmandu Nepal.

 

SPSS training in Lalitpur

ABOUT :

SPSS training in Nepal

SPSS functionality ranges from simple plots and charts through to much more sophisticated statistical tests. Although very broadly applicable, SPSS is very well-suited to analyzing survey data. It has a very broad range of applications from the relatively simple like calculating frequencies and creating lists and charts through to the far more advanced like variance analysis, multivariate statistical analysis and cluster analysis. It is also useful in building predictive models.

SPPS training  in Open Eyes :

SPSS training in Lalitpur

• We provide professional job oriented training, preparing you for the working environment.
• Professional instructors who are competent with years of experience in the SPSS.
• Flexible class hours, according to the convenience of the student.
• Computer facilities to each and every student with high speed internet connection.
• A copy of SPSS software package at reasonable price.
• Certification of the SPSS training course after the completion of the training.Well designed and updated SPSS training course contents.

Rearch oriented SPSS training

Rearch Oriented SPSS Training !!

SPSS training in  Nepal

SEMINAR : 15th May (Jestha 2nd )
Time: 7-9am
Venue: Open Eyes IT Solution
Discussion Topic: Who can be the part of this??
Doctor, Students who had completed their master and looking for thesis, People who are engaged in bank, NGO/INGOS, etc and many more.......
Ph: 01-5520177 || 9843617299
Kumaripati, Lalitpur
Further Details:spss-training-in-kathmandu

Objectives of spss

OBJECTIVES OF THE COURSE:

Spss training in ktm

To introduce participants to the basic practice of statistics by using SPSS Statistics, a statistical software program used for data management and data analysis and learn how to perform basic statistical analyses. v To introduce participants to the use of advanced SPSS for analyzing project data for reporting purposes focusing on database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations.

SPSS training In Nepal

SPSS training in Nepal

SPSS training in Nepal,
SPss training in ktm,
SPSS training in lalitp

ur

SPPS training Images

SPSS training in Nepal

SPSS training in Ktm

SPSS : Open Eyes IT Training

SPSS is a widely used program for statistical analysis in social science. SPSS is a powerful suite of data analytics, reporting and modeling software. It is the data analytics software package of choice for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to quickly and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners.

SPSS training in Nepal

SPSS functionality ranges from simple plots and charts; through to much more sophisticated statistical tests. Although very broadly applicable, SPSS is very well-suited to analyzing survey data. It has a very broad range of applications from the relatively simple like calculating frequencies and creating lists and charts through to the far more advanced like variance analysis, multivariate statistical analysis and cluster analysis. It is also useful in building predictive models.

SPSS Special course

HAPPY NEW YEAR 2073

Lets celebrate this year begining with Special SPSS training in Open Eyes IT Solution.

SPSS training in ktm 

REGISTER NOW : 9843617299 / +977-015540177

Spss training in kathmandu

As there are  institutes providing Spss training in Nepal .While Open eyes IT Solution  don't just give training in addition ,applying entrepreneurial thinking and commercial practices it deliver reliable ,innovative and affordable service in SPSS training.

SPSS training in ktm

SPSS training in krtm

SPSS Statistics is a software package used for statistical analysis. Open Eyes is providing spps training in lalitpur by the Experts.

Spss training in Ktm

• SPSS training in Nepal,
• SPss training in ktm,
• SPSS training in lalitpur

Open eyes :SPSS training

Open eyes IT Solution is a leading spss training center in nepal.
You can get spss training in Ktm valley by the experiences SPSS trainer. Open eyes IT expertise your SPSS knowledge.

spss training in lalitpur

SPSS

Statistical package for the social sciences (SPSS)  is mostly used for the statistical interpretation of social sciences. SPSS training in Nepal is provided by the Open Eyes IT Solution .It is located in kumaripati,Lalitpur.

SPSS training in Nepal

Open Eyes IT solution provide SPSS training in ktm by the exerts in the related field. They provide very effective service in spss training.

Open Eyes IT Solution :About SPSS

SPSS In Open Eyes

SPSS is a broadly utilized system for factual investigation as a part of sociology. It is additionally utilized by economic scientists, wellbeing analysts, overview organizations, government, instruction specialists, showcasing associations, information miners, and others. The first SPSS manual (Nie, Bent and Hull, 1970) has been portrayed as one of "human science's most persuasive books" for permitting customary analysts to do their own particular measurable analysis. notwithstanding factual investigation, information administration (case choice, record reshaping, making inferred information) and information documentation (a metadata word reference was put away in the datafile) are components of the base programming.

Insights incorporated into the base programming:

Expressive insights: Cross organization, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics

Bivariate measurements: Means, t-test, ANOVA, Correlation (bivariate, incomplete, separations), Nonparametric tests

Forecast for numerical results: Linear relapse

Forecast for distinguishing bunches: Factor investigation, group examination (two-stage, K-implies, various leveled), Discriminant

The numerous components of SPSS Statistics are open by means of draw down menus or can be modified with a restrictive 4GL charge sentence structure dialect. Summon language structure programming has the advantages of reproducibility, improving monotonous assignments, and taking care of complex information controls and examinations. Moreover, some mind boggling applications must be modified in grammar and are not open through the menu structure. The draw down menu interface additionally produces summon sentence structure: this can be shown in the yield, despite the fact that the default settings must be changed to make the language structure unmistakable to the client. They can likewise be stuck into a punctuation document utilizing the "glue" catch present in every menu. Projects can be run intelligently or unattended, utilizing the supplied Production Job Facility.

Moreover a "full scale" dialect can be utilized to compose charge dialect subroutines. A Python programmability augmentation can get to the data in the information word reference and information and progressively assemble summon language structure programs. The Python programmability augmentation, presented in SPSS 14, supplanted the less useful SAX Basic "scripts" for most purposes, in spite of the fact that SaxBasic stays accessible. Also, the Python augmentation permits SPSS to run any of the insights in the free programming bundle R. From adaptation 14 onwards, SPSS can be driven remotely by a Python or a VB.NET program utilizing supplied "modules". (From Version 20 onwards, these two scripting offices, and in addition numerous scripts, are incorporated on the establishment media and are ordinarily introduced as a matter of course.)

SPSS Statistics places imperatives on interior record structure, information sorts, information preparing, and coordinating documents, which together significantly disentangle programming. SPSS datasets have a two-dimensional table structure, where the lines commonly speak to cases, (for example, people or families) and the segments speak to estimations, (for example, age, sex, or family unit pay). Just two information sorts are characterized: numeric and content (or "string"). All information handling happens successively case-by-case through the document. Documents can be coordinated balanced and one-to-numerous, yet relatively few to-numerous.

The graphical client interface has two perspectives which can be flipped by tapping on one of the two tabs in the base left of the SPSS Statistics window. The 'Information View' demonstrates a spreadsheet perspective of the cases (lines) and variables (segments). Not at all like spreadsheets, the information cells can just contain numbers or content, and equations can't be put away in these cells. The 'Variable View' shows the metadata word reference where every column speaks to a variable and demonstrates the variable name, variable mark, esteem label(s), print width, estimation sort, and an assortment of different qualities. Cells in both perspectives can be physically altered, characterizing the document structure and permitting information section without utilizing order language structure. This might be adequate for little datasets. Bigger datasets, for example, factual overviews are all the more regularly made in information passage programming, or entered amid PC helped individual talking, by examining and utilizing optical character acknowledgment and optical imprint acknowledgment programming, or by direct catch from online surveys. These datasets are then perused into SPSS.

SPSS Statistics can read and compose information from ASCII content documents (counting various leveled records), different measurements bundles, spreadsheets and databases. SPSS Statistics can read and keep in touch with outer social database tables by means of ODBC and SQL.

Measurable yield is to an exclusive record position for which, notwithstanding the in-bundle viewer, a stand-alone peruser can be downloaded. The exclusive yield can be sent out to message or Microsoft Word, PDF, Excel, and different configurations. On the other hand, yield can be caught as information (utilizing the OMS summon), as content, tab-delimited content, PDF, XLS, HTML, XML, SPSS dataset or an assortment of realistic picture positions (JPEG, PNG, BMP and EMF).
SPSS Statistics Server is an adaptation of SPSS Statistics with a customer/server design. It had a few components not accessible in the desktop adaptation, for example, scoring capacities. (Scoring capacities are incorporated into the desktop form from variant.

• java developer in Nepal,
• java development,
• java training in Nepal,
• java training in ktm,
• java training in Lalitpur,
• java framework

SPSS

SPSS training in Open Eyes

SPSS is a generally utilized project for measurable examination as a part of sociology. It is additionally utilized by economic analysts, well being scientists, study organizations, government, instruction specialists, advertising associations, information diggers, and others. The first SPSS manual (Nie, Bent and Hull, 1970) has been portrayed as one of "human science's most compelling books" for permitting common scientists to do their own particular measurable investigation. Notwithstanding measurable investigation, information administration (case determination, record reshaping, making inferred information) and information documentation (a metadata word reference was put away in the datafile) are elements of the base programming.

Measurements incorporated into the base programming:

Elucidating measurements: Cross arrangement, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics

Bivariate measurements: Means, t-test, ANOVA, Correlation (bivariate, fractional, separations), Nonparametric tests

Expectation for numerical results: Linear relapse

Expectation for recognizing bunches: Factor investigation, group examination (two-stage, K-implies, various leveled), Discriminant

SPSS

The numerous components of SPSS Statistics are available through draw down menus or can be modified with a restrictive 4GL order linguistic structure dialect. Summon language structure programming has the advantages of reproducibility, disentangling monotonous undertakings, and taking care of complex information controls and investigations. Furthermore, some perplexing applications must be customized in punctuation and are not available through the menu structure. The draw down menu interface likewise creates summon language structure: this can be shown in the yield, in spite of the fact that the default settings must be changed to make the grammar unmistakable to the client. They can likewise be glued into a grammar document utilizing the "glue" catch present in every menu. Projects can be run intelligently or unattended, utilizing the supplied Production Job Facility.

Moreover a "full scale" dialect can be utilized to compose summon dialect subroutines. A Python programmability expansion can get to the data in the information word reference and information and powerfully form order linguistic structure programs. The Python programmability augmentation, presented in SPSS 14, supplanted the less useful SAX Basic "scripts" for most purposes, despite the fact that SaxBasic stays accessible. What's more, the Python expansion permits SPSS to run any of the insights in the free programming bundle R. From rendition 14 onwards, SPSS can be driven remotely by a Python or a VB.NET program utilizing supplied "modules". (From Version 20 onwards, these two scripting offices, and numerous scripts, are incorporated on the establishment media and are regularly introduced as a matter of course.)

SPSS Statistics places requirements on inner document structure, information sorts, information handling, and coordinating records, which together impressively rearrange programming. SPSS datasets have a two-dimensional table structure, where the lines normally speak to cases, (for example, people or family units) and the segments speak to estimations, (for example, age, sex, or family pay). Just two information sorts are characterized: numeric and content (or "string"). All information preparing happens successively case-by-case through the record. Documents can be coordinated balanced and one-to-numerous, however relatively few to-numerous.

The graphical client interface has two perspectives which can be flipped by tapping on one of the two tabs in the base left of the SPSS Statistics window. The 'Information View' demonstrates a spreadsheet perspective of the cases (lines) and variables (sections). Not at all like spreadsheets, the information cells can just contain numbers or content, and recipes can't be put away in these cells. The 'Variable View' shows the metadata word reference where every column speaks to a variable and demonstrates the variable name, variable name, esteem label(s), print width, estimation sort, and an assortment of different attributes. Cells in both perspectives can be physically altered, characterizing the document structure and permitting information passage without utilizing order sentence structure. This might be adequate for little datasets. Bigger datasets, for example, factual overviews are all the more regularly made in information section programming, or entered amid PC helped individual meeting, by filtering and utilizing optical character acknowledgment and optical imprint acknowledgment programming, or by direct catch from online surveys. These datasets are then perused into SPSS.

SPSS Statistics can read and compose information from ASCII content documents (counting various leveled records), different insights bundles, spreadsheets and databases. SPSS Statistics can read and keep in touch with outer social database tables by means of ODBC and SQL.

Factual yield is to an exclusive record design (*.spv document, supporting turn tables) for which, notwithstanding the in-bundle viewer, a stand-alone peruser can be downloaded. The restrictive yield can be sent out to message or Microsoft Word, PDF, Excel, and different configurations. On the other hand, yield can be caught as information (utilizing the OMS order), as content, tab-delimited content, PDF, XLS, HTML, XML, SPSS dataset or an assortment of realistic picture groups (JPEG, PNG, BMP and EMF).

The SPSS logo utilized before the renaming as a part of January 2010.

SPSS Statistics Server is an adaptation of SPSS Statistics with a customer/server engineering. It had a few elements not accessible in the desktop variant, for example, scoring capacities. (Scoring capacities are incorporated into the desktop form from adaptation.

Do contact for spss training in nepal: Open Eyes IT Solution,the best choice for  spss training  .