USING SPSS FOR QUANTITATIVE DATA ANALYSIS

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1 One-Day Wrkshp USING SPSS FOR QUANTITATIVE DATA ANALYSIS (Quantitative Techniques fr Analysis and Hands n Practice thrugh SPSS) Saturday-May 12, 2012 frm 09:30AM t 05:30PM At University f Management & Technlgy, Lahre-Pakistan Click Here fr Registratin The researchers tday nt nly need t develp skills in carrying ut cmmunity based researches but als develp skills in analyzing and managing data acquired thrugh the hectic prcess. The acquired data shuld be used during the life f prject fr the purpse f planning, reprting and mnitring f perfrmance. The IRP s Centre fr Training & Develpment in cllabratin with University f Management & Technlgy is rganizing a ne-day training wrkshp n May 12, 2012 at UMT, Lahre. Prficiency with statistical sftware packages is indispensable tday fr serius research in the sciences. SPSS (Statistical Package fr the Scial Sciences) is ne f the mst widely available and pwerful statistical sftware packages. It cvers a brad range f statistical prcedures that allw researcher t summarize data (e.g., cmpute means and standard deviatins), determine whether there are significant differences between grups (e.g., t-tests, analysis f variance), examine relatinships amng variables (e.g., crrelatin, multiple regressin), and graph results (e.g., bar charts, line graphs). The wrkshp fcuses n basic uses f SPSS including descriptive and inferential analysis. TRAINER (CV): Mr. Muhammad Rashid has mre than nine years f teaching, training and research experience having a cmpetitive edge in data analysis. He is currently wrking as Statistical Data Analyst/ Trainer with Institute f Research Prmtin. He is als wrking as visiting faculty member at University f Management and Technlgy (UMT) and Beacn 1

2 huse Natinal University (BNU). He has been Assistant Prfessr at IQRA University Lahre campus. He had been a research executive in ACNielsen Pakistan where he successfully cmpleted several research prjects f natinal and internatinal rganizatins. He was invlved in marketing surveys and academic research reprts. He has cnducted different trainings with IQRA University, Infrmatics and IRP. Alng with Business and Management Science knwledge, he has deep knwledge f Cmputer Science. Having tw master degrees (Statistics and Cmputer Science), urge t learn mre and mre, craze f research and develpment and having gd cmmunicatin, analytical and reprting skills makes him very distinctive prfessinal. THE SCENARIO: The research related activities are grwing in bth academic and cmmercial settings. In academia, rapidly grwing rate f faculty members are entering int research field and enrlment f PhD. and M.Phil in research related discipline has dramatically increased. In industry, the marketing research business is expanding and research centers are established in many business firms, which make valued additin in verall research pl. The scenari raises the need f a training wrkshp, which culd enhance researcher s skills f ding research in any f the discipline. The data analysis by using different techniques is the skill needed by all researchers f academia, public and crprate sectr. THE PURPOSE: This wrkshp is designed t equip the researchers with applicatin skills f quantitative analysis methds by using SPSS. The participants will have the in-depth understanding f quantitative techniques fr analysis, real life applicatins, cmputatin thrugh SPSS, interpretatin f these tls fr prblem slving and giving facts-based decisins in business and scial life. The wrkshp will serve the fllwing learning bjectives: What are the fundamental techniques in quantitative analysis? What is the cnceptual understanding f different quantitative techniques? What is the applicatin f quantitative techniques in different business settings? Hw t manage data n SPSS? 2

3 Hw t apply quantitative techniques using SPSS? Hw t interpret the results generated by SPSS? Mastering the use f SPSS by practice? WHAT PARTICIPANTS WILL GET? In depth understanding f basic and advanced quantitative techniques Managing data and ding analysis n SPSS Applicatin and interpretatin f quantitative techniques fr business decisins Current and high quality resurce material n the subject Training frm a statistics specialist and SPSS expert Learning assistance frm qualified research executives during the sessin Netwrking with experts Pst-wrkshp cnsulting Cntinues learning n the subject Wrkshp certificate PRE-REQUISITES: Participants must bring their wn laptp fr hands n practice f the sftware Participants shuld knw abut quantitative research and type f data but nt cmpulsry Participants may send their data sets fr mdel analysis in the wrkshp. WHO SHOULD ATTEND? Faculty members f universities Students f PhD/M.Phil and Masters/Graduatin Research executives/assciates f business firms Research executives/assciates f public sectr departments Research executives/assciates f marketing research firms Researchers f R&D rganizatins and research centers/institutins 3

4 Mdule 1: Intrductin t SPSS Detailed Cntents f the Wrkshp Mdule 2: Cncept f Meta-Data 1. Installing SPSS Ver Starting SPSS 3. The Data Editr 4. Variable and Data views 5. Output viewer 6. syntax editr 7. cmmn windws menus 8. uncmmn menus 9. Opening a Data File 10. Saving a data file 11. Intrductin t menu bar and tlbar 12. The Dialg Bx 1. Save Files and the Data Dictinary 2. Categrical Variables 3. Nminal Variables 4. Ordinal Variables 5. Interval Variables 6. Rati Variables 7. Intrductin t Levels f Measurement 8. Variable Name Examples 9. Variable Types 10. String Variables 11. Numeric Variables 12. Other Variables Types 13. Entering Variable Names and Types 14. Treating Missing Values 15. Entering multiple respnse data in SPSS Mdule 3: Mdifying Data Values 1. The Recde Prcedure 2. Recding int the Same Variable 3. Recding int a Different Variable 4. The Cmpute Prcedure Mdule 4: Summary Data fr Individual Variables 1. Defining Terminlgy 2. Definitin f Univariate Descriptive Statistics 3. Measures f Central Tendency and Basic Charts 4. Bar Charts and Histgrams 5. The Frequency Prcedure 6. The Descriptive Prcedure Mdule 5: Crss tabulatin 1. Creating Basic Crss tabs 2. Creating Layered Crss tabs Mdule 6: Testing Means f ppulatin 1. One sample t-test 2. Independent sample t-test 4

5 3. Chi-Square fr Crss tabs 4. Interpreting a Chi-Square 5. Charting a Crss tab 6. Clustered Bar Chart 7. Analyzing multiple respnse data 3. Paired sample t-test 4. One way ANOVA INVESTMENT Rs. 3500/Participant Rs.3000/Participant fr 3 r mre nminatins Last date fr payment is May 07, 2012 while yur space will be reserved after payment cnfirmatin. The fees includes: csts f resurce material + certificates and statinary + lunch and 2 teas etc. Mde f Payment: CONTACT: Please pst crssed cheque/draft in favur f Institute f Research Prmtin at the address: Suit N. 11, 7th Flr, Central Plaza, Barkat Market, Garden Twn, Lahre-Pakistan r Online transfer in A/C , Faisal Bank, Garden Twn Branch, Lahre-Pakistan. M. Zeeshan Sheikh Manager Centre fr Training & Develpment Institute f Research Prmtin Cell: Phne: ctd@irp.edu.pk 5

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