By Hui Bian. Office for Faculty Excellence

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "By Hui Bian. Office for Faculty Excellence"

Transcription

1 By Hui Bian Office for Faculty Excellence

2 A parametric statistical test is a test whose model specifies certain conditions about the parameters of the population from which the research sample was drawn. Conditions include: The observations must be independent. The observations must be drawn from normally distributed populations These populations must have the same variances Variables involved must have been measured in at least an interval scale.

3 A non-parametric statistical test is a test whose model does NOT specify conditions about the parameters of the population from which the sample was drawn. Do not require measurement so strong as that required for the parametric tests. Most non-parametric tests apply to data in an ordinal scale, and some apply to data in nominal scale.

4 Why non-parametric tests? They do not make numerous or stringent assumptions about parameters. Or call those tests distribution-free

5 Statistical reference is concerned two types of problem: Estimation of population parameters Tests of hypotheses When the data under analysis are met those assumptions for parametric tests, we should choose parametric tests because they are more powerful than non-parametric tests.

6 Non-parametric tests focus on order or ranking Data are changed from scores to ranks or signs A parametric test focuses on the mean difference, and equivalent non-parametric test focuses on the difference between medians.

7

8 Three types of tests A one-sample test analyzes one field. A test for related samples compares two or more fields for the same set of cases. An independent-samples test analyzes one field that is grouped by categories of another field.

9 What is your objective? Automatically compare observed data to hypothesized. Binomial test: categorical fields with only two categories; Chi-Square test: all other categorical fields; and Kolmogorov-Smirnov test: continuous fields. Test sequence for randomness. Runs test: test the observed sequence of data values for randomness. Custom analysis. Manually choose your test (Click Settings tab). This setting is automatically selected if you subsequently make changes to options on the Settings tab that are incompatible with the currently selected objective.

10 How to run one-sample nonparametric tests Go to Analyze > Nonparametric Tests > One Sample

11 Example 1: Binomial test (variable with only two categories) We want to know if there is no difference between the proportion of males and females (H 0 ). Use Q2 (gender) as Field variable

12 Binomial test: Click Field tab, then click Run

13 SPSS output of binomial test the proportions of females and males in this sample significantly differ.

14 Double click the table in the output, we can get a new window called Model Viewer Model Viewer

15 Another way to get Binomial test Go to Analyze > Nonparametric Tests > Legacy Dialogue > Binomial Test

16 SPSS Output

17 Chi-square goodness of fit: it allows us to test whether the observed proportions for a categorical variable differ from hypothesized proportions. Example: we want to know whether the four grade levels have equal frequencies. Use Q3r (has four grade levels: 9 th, 10 th, 11 th, and 12 th ) We can let SPSS automatically choose expected values for us (the probability should be 25% for each grade level)

18 We can also customize our analysis Objective: customize analysis Fields: Q3r Settings: Choose Customize tests, check the second box

19 Click Options: we want equal probability In the Category column, specify category values. In the Relative Frequency column, specify a value greater than 0 for each category. Custom frequencies are treated as ratios so that, for example, specifying frequencies 1, 2, and 3 is equivalent to specifying frequencies 10, 20, and 30, and both specify that 1/6 of the records are expected to fall into the first category, 1/3 into the second, and 1/2 into the third.

20 SPSS Output

21 Kolmogorov-Smirnov test: it is applied to continuous fields. This produces a one-sample test of whether the sample cumulative distribution function for a field is homogenous with a uniform, normal, Poisson, or exponential distribution. Example: we want to know If Q30 has a normal distribution.

22 We can let SPSS automatically choose test for us or customize analysis Q30 is a continuous variable.

23 Click Options: check Normal

24 SPSS outputs

25 One sample median test: Wilcoxon signed rank test that allows us to test whether a sample median differs significantly from a hypothesized value. Example: we use Q80 as a field. We want to know whether the median of Q80 differs from 3.

26 Click settings

27 SPSS Outputs

28 Independent sample nonparametric tests identify differences between two or more groups using one or more nonparametric tests. Nonparametric tests do not assume your data follow the normal distribution. 2 Independent samples: grouping variable has two categories. K Independent samples: grouping variable has more than two (k) categories

29 2 Independent samples Example: we want to know whether there are gender difference on Q30 and Q80 Go to analyze > Nonparametric Test > Legacy Dialogue > 2 Independent Samples

30 Another way to run the analysis Go to Analyze > Non Parametric Tests > Independent Samples Choose Automatically compare distributions across groups

31

32 Click Settings

33 We can let SPSS make decision for us. We also can customize tests Mann-Whitney U for two groups Kruskal-Wallis 1-way ANOVA for more than two groups

34 2 Independent samples SPSS Outputs

35 SPSS Outputs

36 K Independent samples (more than two groups) Example: we want to know whether there are grade (Q3r) difference on Q30 and Q80 Go to analyze > Nonparametric Test > Legacy Dialogue > K Independent Samples

37 Another way to analyze data

38 K Independent samples: SPSS output

39 SPSS Output

40 2 Related samples: Wilcoxon signed rank sum test (identify differences between two related fields). Example: we want to know whether there is a difference between pre and post test scores of drug use (assume Q30 is a pre score and Q41 is a post score) Go to Analyze > Nonparametric Tests > Legacy Dialogue > 2 Related Samples

41 2 Related samples

42 2 Related samples : SPSS Outputs

43 Another way to analyze data Go to Analyze > Nonparametric Tests > Related Samples

44 Click Settings

45 McNemar s test (2 samples): test for change in binary data. Cochran s Q (k samples) can be applied to categorical fields. Test change for Multinomial data (2 samples): applied to ordinal fields. Compare median difference to hypothesized (2 samples): applied to continuous fields. Estimate confidence interval (2 samples): median difference of related samples

46 Quantity association (k samples): produces a measure of agreement among judges or raters. Compare distributions (k samples): applied to continuous fields.

47 SPSS Output

48 K related samples Example: we use Q30, Q41, and Q42 as three related fields to test the change.

49 From Legacy Dialogue

50

51 SPSS output

52

Module 9: Nonparametric Tests. The Applied Research Center

Module 9: Nonparametric Tests. The Applied Research Center Module 9: Nonparametric Tests The Applied Research Center Module 9 Overview } Nonparametric Tests } Parametric vs. Nonparametric Tests } Restrictions of Nonparametric Tests } One-Sample Chi-Square Test

More information

Statistical tests for SPSS

Statistical tests for SPSS Statistical tests for SPSS Paolo Coletti A.Y. 2010/11 Free University of Bolzano Bozen Premise This book is a very quick, rough and fast description of statistical tests and their usage. It is explicitly

More information

Lecture 7: Binomial Test, Chisquare

Lecture 7: Binomial Test, Chisquare Lecture 7: Binomial Test, Chisquare Test, and ANOVA May, 01 GENOME 560, Spring 01 Goals ANOVA Binomial test Chi square test Fisher s exact test Su In Lee, CSE & GS suinlee@uw.edu 1 Whirlwind Tour of One/Two

More information

Nonparametric Statistics

Nonparametric Statistics Nonparametric Statistics J. Lozano University of Goettingen Department of Genetic Epidemiology Interdisciplinary PhD Program in Applied Statistics & Empirical Methods Graduate Seminar in Applied Statistics

More information

How to choose a statistical test. Francisco J. Candido dos Reis DGO-FMRP University of São Paulo

How to choose a statistical test. Francisco J. Candido dos Reis DGO-FMRP University of São Paulo How to choose a statistical test Francisco J. Candido dos Reis DGO-FMRP University of São Paulo Choosing the right test One of the most common queries in stats support is Which analysis should I use There

More information

SPSS Explore procedure

SPSS Explore procedure SPSS Explore procedure One useful function in SPSS is the Explore procedure, which will produce histograms, boxplots, stem-and-leaf plots and extensive descriptive statistics. To run the Explore procedure,

More information

Statistics. One-two sided test, Parametric and non-parametric test statistics: one group, two groups, and more than two groups samples

Statistics. One-two sided test, Parametric and non-parametric test statistics: one group, two groups, and more than two groups samples Statistics One-two sided test, Parametric and non-parametric test statistics: one group, two groups, and more than two groups samples February 3, 00 Jobayer Hossain, Ph.D. & Tim Bunnell, Ph.D. Nemours

More information

Chapter G08 Nonparametric Statistics

Chapter G08 Nonparametric Statistics G08 Nonparametric Statistics Chapter G08 Nonparametric Statistics Contents 1 Scope of the Chapter 2 2 Background to the Problems 2 2.1 Parametric and Nonparametric Hypothesis Testing......................

More information

Tests of relationships between variables Chi-square Test Binomial Test Run Test for Randomness One-Sample Kolmogorov-Smirnov Test.

Tests of relationships between variables Chi-square Test Binomial Test Run Test for Randomness One-Sample Kolmogorov-Smirnov Test. N. Uttam Singh, Aniruddha Roy & A. K. Tripathi ICAR Research Complex for NEH Region, Umiam, Meghalaya uttamba@gmail.com, aniruddhaubkv@gmail.com, aktripathi2020@yahoo.co.in Non Parametric Tests: Hands

More information

One Way ANOVA. A method for comparing several means along a single variable

One Way ANOVA. A method for comparing several means along a single variable Analysis of Variance (ANOVA) One Way ANOVA A method for comparing several means along a single variable It is the same as an independent samples t test, test but for 3 or more samples Called one way when

More information

SPSS Workbook 4 T-tests

SPSS Workbook 4 T-tests TEESSIDE UNIVERSITY SCHOOL OF HEALTH & SOCIAL CARE SPSS Workbook 4 T-tests Research, Audit and data RMH 2023-N Module Leader:Sylvia Storey Phone:016420384969 s.storey@tees.ac.uk SPSS Workbook 4 Differences

More information

NAG C Library Chapter Introduction. g08 Nonparametric Statistics

NAG C Library Chapter Introduction. g08 Nonparametric Statistics g08 Nonparametric Statistics Introduction g08 NAG C Library Chapter Introduction g08 Nonparametric Statistics Contents 1 Scope of the Chapter... 2 2 Background to the Problems... 2 2.1 Parametric and Nonparametric

More information

Variables and Data A variable contains data about anything we measure. For example; age or gender of the participants or their score on a test.

Variables and Data A variable contains data about anything we measure. For example; age or gender of the participants or their score on a test. The Analysis of Research Data The design of any project will determine what sort of statistical tests you should perform on your data and how successful the data analysis will be. For example if you decide

More information

CHAPTER 11 CHI-SQUARE: NON-PARAMETRIC COMPARISONS OF FREQUENCY

CHAPTER 11 CHI-SQUARE: NON-PARAMETRIC COMPARISONS OF FREQUENCY CHAPTER 11 CHI-SQUARE: NON-PARAMETRIC COMPARISONS OF FREQUENCY The hypothesis testing statistics detailed thus far in this text have all been designed to allow comparison of the means of two or more samples

More information

Data analysis process

Data analysis process Data analysis process Data collection and preparation Collect data Prepare codebook Set up structure of data Enter data Screen data for errors Exploration of data Descriptive Statistics Graphs Analysis

More information

Survival Analysis Using SPSS. By Hui Bian Office for Faculty Excellence

Survival Analysis Using SPSS. By Hui Bian Office for Faculty Excellence Survival Analysis Using SPSS By Hui Bian Office for Faculty Excellence Survival analysis What is survival analysis Event history analysis Time series analysis When use survival analysis Research interest

More information

Quantitative Data Analysis: Choosing a statistical test Prepared by the Office of Planning, Assessment, Research and Quality

Quantitative Data Analysis: Choosing a statistical test Prepared by the Office of Planning, Assessment, Research and Quality Quantitative Data Analysis: Choosing a statistical test Prepared by the Office of Planning, Assessment, Research and Quality 1 To help choose which type of quantitative data analysis to use either before

More information

UNIVERSITY OF NAIROBI

UNIVERSITY OF NAIROBI UNIVERSITY OF NAIROBI MASTERS IN PROJECT PLANNING AND MANAGEMENT NAME: SARU CAROLYNN ELIZABETH REGISTRATION NO: L50/61646/2013 COURSE CODE: LDP 603 COURSE TITLE: RESEARCH METHODS LECTURER: GAKUU CHRISTOPHER

More information

A Guide for a Selection of SPSS Functions

A Guide for a Selection of SPSS Functions A Guide for a Selection of SPSS Functions IBM SPSS Statistics 19 Compiled by Beth Gaedy, Math Specialist, Viterbo University - 2012 Using documents prepared by Drs. Sheldon Lee, Marcus Saegrove, Jennifer

More information

SCHOOL OF HEALTH AND HUMAN SCIENCES DON T FORGET TO RECODE YOUR MISSING VALUES

SCHOOL OF HEALTH AND HUMAN SCIENCES DON T FORGET TO RECODE YOUR MISSING VALUES SCHOOL OF HEALTH AND HUMAN SCIENCES Using SPSS Topics addressed today: 1. Differences between groups 2. Graphing Use the s4data.sav file for the first part of this session. DON T FORGET TO RECODE YOUR

More information

Projects Involving Statistics (& SPSS)

Projects Involving Statistics (& SPSS) Projects Involving Statistics (& SPSS) Academic Skills Advice Starting a project which involves using statistics can feel confusing as there seems to be many different things you can do (charts, graphs,

More information

Some Critical Information about SOME Statistical Tests and Measures of Correlation/Association

Some Critical Information about SOME Statistical Tests and Measures of Correlation/Association Some Critical Information about SOME Statistical Tests and Measures of Correlation/Association This information is adapted from and draws heavily on: Sheskin, David J. 2000. Handbook of Parametric and

More information

Using SPSS, Chapter 2: Descriptive Statistics

Using SPSS, Chapter 2: Descriptive Statistics 1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,

More information

Overview of Non-Parametric Statistics PRESENTER: ELAINE EISENBEISZ OWNER AND PRINCIPAL, OMEGA STATISTICS

Overview of Non-Parametric Statistics PRESENTER: ELAINE EISENBEISZ OWNER AND PRINCIPAL, OMEGA STATISTICS Overview of Non-Parametric Statistics PRESENTER: ELAINE EISENBEISZ OWNER AND PRINCIPAL, OMEGA STATISTICS About Omega Statistics Private practice consultancy based in Southern California, Medical and Clinical

More information

IBM SPSS Statistics for Beginners for Windows

IBM SPSS Statistics for Beginners for Windows ISS, NEWCASTLE UNIVERSITY IBM SPSS Statistics for Beginners for Windows A Training Manual for Beginners Dr. S. T. Kometa A Training Manual for Beginners Contents 1 Aims and Objectives... 3 1.1 Learning

More information

12. Nonparametric Statistics

12. Nonparametric Statistics 12. Nonparametric Statistics Objectives Calculate Mann-Whitney Test Calculate Wilcoxon s Matched-Pairs Signed-Ranks Test Calculate Kruskal-Wallis One-Way ANOVA Calculate Friedman s Rank Test for k Correlated

More information

Chapter 21 Section D

Chapter 21 Section D Chapter 21 Section D Statistical Tests for Ordinal Data The rank-sum test. You can perform the rank-sum test in SPSS by selecting 2 Independent Samples from the Analyze/ Nonparametric Tests menu. The first

More information

Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss

Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss SPSS is a program that is very easy to learn and is also very powerful. This manual is designed to introduce you to the program however,

More information

Lecture - 32 Regression Modelling Using SPSS

Lecture - 32 Regression Modelling Using SPSS Applied Multivariate Statistical Modelling Prof. J. Maiti Department of Industrial Engineering and Management Indian Institute of Technology, Kharagpur Lecture - 32 Regression Modelling Using SPSS (Refer

More information

COMPARING DATA ANALYSIS TECHNIQUES FOR EVALUATION DESIGNS WITH NON -NORMAL POFULP_TIOKS Elaine S. Jeffers, University of Maryland, Eastern Shore*

COMPARING DATA ANALYSIS TECHNIQUES FOR EVALUATION DESIGNS WITH NON -NORMAL POFULP_TIOKS Elaine S. Jeffers, University of Maryland, Eastern Shore* COMPARING DATA ANALYSIS TECHNIQUES FOR EVALUATION DESIGNS WITH NON -NORMAL POFULP_TIOKS Elaine S. Jeffers, University of Maryland, Eastern Shore* The data collection phases for evaluation designs may involve

More information

Parametric and non-parametric statistical methods for the life sciences - Session I

Parametric and non-parametric statistical methods for the life sciences - Session I Why nonparametric methods What test to use? Rank Tests Parametric and non-parametric statistical methods for the life sciences - Session I Liesbeth Bruckers Geert Molenberghs Interuniversity Institute

More information

Chapter 5 Analysis of variance SPSS Analysis of variance

Chapter 5 Analysis of variance SPSS Analysis of variance Chapter 5 Analysis of variance SPSS Analysis of variance Data file used: gss.sav How to get there: Analyze Compare Means One-way ANOVA To test the null hypothesis that several population means are equal,

More information

EPS 625 INTERMEDIATE STATISTICS FRIEDMAN TEST

EPS 625 INTERMEDIATE STATISTICS FRIEDMAN TEST EPS 625 INTERMEDIATE STATISTICS The Friedman test is an extension of the Wilcoxon test. The Wilcoxon test can be applied to repeated-measures data if participants are assessed on two occasions or conditions

More information

PASS Sample Size Software

PASS Sample Size Software Chapter 250 Introduction The Chi-square test is often used to test whether sets of frequencies or proportions follow certain patterns. The two most common instances are tests of goodness of fit using multinomial

More information

II. DISTRIBUTIONS distribution normal distribution. standard scores

II. DISTRIBUTIONS distribution normal distribution. standard scores Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,

More information

January 26, 2009 The Faculty Center for Teaching and Learning

January 26, 2009 The Faculty Center for Teaching and Learning THE BASICS OF DATA MANAGEMENT AND ANALYSIS A USER GUIDE January 26, 2009 The Faculty Center for Teaching and Learning THE BASICS OF DATA MANAGEMENT AND ANALYSIS Table of Contents Table of Contents... i

More information

Research Variables. Measurement. Scales of Measurement. Chapter 4: Data & the Nature of Measurement

Research Variables. Measurement. Scales of Measurement. Chapter 4: Data & the Nature of Measurement Chapter 4: Data & the Nature of Graziano, Raulin. Research Methods, a Process of Inquiry Presented by Dustin Adams Research Variables Variable Any characteristic that can take more than one form or value.

More information

Descriptive Statistics

Descriptive Statistics Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize

More information

Statistical Significance and Bivariate Tests

Statistical Significance and Bivariate Tests Statistical Significance and Bivariate Tests BUS 735: Business Decision Making and Research 1 1.1 Goals Goals Specific goals: Re-familiarize ourselves with basic statistics ideas: sampling distributions,

More information

The Dummy s Guide to Data Analysis Using SPSS

The Dummy s Guide to Data Analysis Using SPSS The Dummy s Guide to Data Analysis Using SPSS Mathematics 57 Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved TABLE OF CONTENTS PAGE Helpful Hints for All Tests...1 Tests

More information

IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA

IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the

More information

SPSS ADVANCED ANALYSIS WENDIANN SETHI SPRING 2011

SPSS ADVANCED ANALYSIS WENDIANN SETHI SPRING 2011 SPSS ADVANCED ANALYSIS WENDIANN SETHI SPRING 2011 Statistical techniques to be covered Explore relationships among variables Correlation Regression/Multiple regression Logistic regression Factor analysis

More information

Testing Group Differences using T-tests, ANOVA, and Nonparametric Measures

Testing Group Differences using T-tests, ANOVA, and Nonparametric Measures Testing Group Differences using T-tests, ANOVA, and Nonparametric Measures Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 Phone:

More information

Chapter 16 Appendix. Nonparametric Tests with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83-/84 Calculators

Chapter 16 Appendix. Nonparametric Tests with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83-/84 Calculators The Wilcoxon Rank Sum Test Chapter 16 Appendix Nonparametric Tests with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83-/84 Calculators These nonparametric tests make no assumption about Normality.

More information

When to Use Which Statistical Test

When to Use Which Statistical Test When to Use Which Statistical Test Rachel Lovell, Ph.D., Senior Research Associate Begun Center for Violence Prevention Research and Education Jack, Joseph, and Morton Mandel School of Applied Social Sciences

More information

Choosing the correct statistical test made easy

Choosing the correct statistical test made easy Classroom Choosing the correct statistical test made easy N Gunawardana Senior Lecturer in Community Medicine, Faculty of Medicine, University of Colombo Gone are the days where researchers had to perform

More information

Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition

Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology Step-by-Step - Excel Microsoft Excel is a spreadsheet software application

More information

4) The goodness of fit test is always a one tail test with the rejection region in the upper tail. Answer: TRUE

4) The goodness of fit test is always a one tail test with the rejection region in the upper tail. Answer: TRUE Business Statistics, 9e (Groebner/Shannon/Fry) Chapter 13 Goodness of Fit Tests and Contingency Analysis 1) A goodness of fit test can be used to determine whether a set of sample data comes from a specific

More information

Table of Contents. Advanced Statistics. Paolo Coletti A.Y. 2010/11 Free University of Bolzano Bozen

Table of Contents. Advanced Statistics. Paolo Coletti A.Y. 2010/11 Free University of Bolzano Bozen Advanced Statistics Paolo Coletti A.Y. 2010/11 Free University of Bolzano Bozen Table of Contents 1. Statistical inference... 2 1.1 Population and sampling... 2 2. Data organization... 4 2.1 Variable s

More information

Comparison of EngineRoom (6.0) with Minitab (16) and Quality Companion (3)

Comparison of EngineRoom (6.0) with Minitab (16) and Quality Companion (3) Comparison of EngineRoom (6.0) with Minitab (16) and Quality Companion (3) What is EngineRoom? A Microsoft Excel add in A suite of powerful, simple to use Lean and Six Sigma data analysis tools Built for

More information

Inferential Statistics

Inferential Statistics Inferential Statistics Sampling and the normal distribution Z-scores Confidence levels and intervals Hypothesis testing Commonly used statistical methods Inferential Statistics Descriptive statistics are

More information

SPSS Tests for Versions 9 to 13

SPSS Tests for Versions 9 to 13 SPSS Tests for Versions 9 to 13 Chapter 2 Descriptive Statistic (including median) Choose Analyze Descriptive statistics Frequencies... Click on variable(s) then press to move to into Variable(s): list

More information

SPSS: AN OVERVIEW. Seema Jaggi and and P.K.Batra I.A.S.R.I., Library Avenue, New Delhi-110 012

SPSS: AN OVERVIEW. Seema Jaggi and and P.K.Batra I.A.S.R.I., Library Avenue, New Delhi-110 012 SPSS: AN OVERVIEW Seema Jaggi and and P.K.Batra I.A.S.R.I., Library Avenue, New Delhi-110 012 The abbreviation SPSS stands for Statistical Package for the Social Sciences and is a comprehensive system

More information

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This

More information

THE KRUSKAL WALLLIS TEST

THE KRUSKAL WALLLIS TEST THE KRUSKAL WALLLIS TEST TEODORA H. MEHOTCHEVA Wednesday, 23 rd April 08 THE KRUSKAL-WALLIS TEST: The non-parametric alternative to ANOVA: testing for difference between several independent groups 2 NON

More information

An introduction to IBM SPSS Statistics

An introduction to IBM SPSS Statistics An introduction to IBM SPSS Statistics Contents 1 Introduction... 1 2 Entering your data... 2 3 Preparing your data for analysis... 10 4 Exploring your data: univariate analysis... 14 5 Generating descriptive

More information

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics. Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing

More information

Testing Hypotheses using SPSS

Testing Hypotheses using SPSS Is the mean hourly rate of male workers $2.00? T-Test One-Sample Statistics Std. Error N Mean Std. Deviation Mean 2997 2.0522 6.6282.2 One-Sample Test Test Value = 2 95% Confidence Interval Mean of the

More information

Applications of Intermediate/Advanced Statistics in Institutional Research

Applications of Intermediate/Advanced Statistics in Institutional Research Applications of Intermediate/Advanced Statistics in Institutional Research Edited by Mary Ann Coughlin THE ASSOCIATION FOR INSTITUTIONAL RESEARCH Number Sixteen Resources in Institional Research 2005 Association

More information

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES MASTER COURSE SYLLABUS-PROTOTYPE THE PSYCHOLOGY DEPARTMENT VALUES ACADEMIC FREEDOM AND THUS OFFERS THIS MASTER SYLLABUS-PROTOTYPE ONLY AS A GUIDE. THE INSTRUCTORS ARE FREE TO ADAPT THEIR COURSE SYLLABI

More information

Chi-Square P216; 269

Chi-Square P216; 269 Chi-Square P16; 69 Confidence intervals CI: % confident that interval contains population mean (µ) % is determined by researcher (e.g. 85, 90, 95%) Formula for z-test and t-test: CI = M +/- z*(σ M ) CI

More information

ANALYSING LIKERT SCALE/TYPE DATA, ORDINAL LOGISTIC REGRESSION EXAMPLE IN R.

ANALYSING LIKERT SCALE/TYPE DATA, ORDINAL LOGISTIC REGRESSION EXAMPLE IN R. ANALYSING LIKERT SCALE/TYPE DATA, ORDINAL LOGISTIC REGRESSION EXAMPLE IN R. 1. Motivation. Likert items are used to measure respondents attitudes to a particular question or statement. One must recall

More information

Simple Linear Regression One Binary Categorical Independent Variable

Simple Linear Regression One Binary Categorical Independent Variable Simple Linear Regression Does sex influence mean GCSE score? In order to answer the question posed above, we want to run a linear regression of sgcseptsnew against sgender, which is a binary categorical

More information

IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA

IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA Winter 2016, Version 1 Table of Contents Introduction... 2 Downloading the Data Files... 2 Chi-Square... 2 Chi-Square Test for Goodness-of-Fit... 2 With

More information

We know from STAT.1030 that the relevant test statistic for equality of proportions is:

We know from STAT.1030 that the relevant test statistic for equality of proportions is: 2. Chi 2 -tests for equality of proportions Introduction: Two Samples Consider comparing the sample proportions p 1 and p 2 in independent random samples of size n 1 and n 2 out of two populations which

More information

SPSS 3: COMPARING MEANS

SPSS 3: COMPARING MEANS SPSS 3: COMPARING MEANS UNIVERSITY OF GUELPH LUCIA COSTANZO lcostanz@uoguelph.ca REVISED SEPTEMBER 2012 CONTENTS SPSS availability... 2 Goals of the workshop... 2 Data for SPSS Sessions... 3 Statistical

More information

Descriptive and Inferential Statistics

Descriptive and Inferential Statistics General Sir John Kotelawala Defence University Workshop on Descriptive and Inferential Statistics Faculty of Research and Development 14 th May 2013 1. Introduction to Statistics 1.1 What is Statistics?

More information

Research Methods 1 Handouts, Graham Hole,COGS - version 1.0, September 2000: Page 1:

Research Methods 1 Handouts, Graham Hole,COGS - version 1.0, September 2000: Page 1: Research Methods 1 Handouts, Graham Hole,COGS - version 1.0, September 000: Page 1: NON-PARAMETRIC TESTS: What are non-parametric tests? Statistical tests fall into two kinds: parametric tests assume that

More information

The Statistics Tutor s

The Statistics Tutor s statstutor community project encouraging academics to share statistics support resources All stcp resources are released under a Creative Commons licence Stcp-marshallowen-7 The Statistics Tutor s www.statstutor.ac.uk

More information

Nonparametric Two-Sample Tests. Nonparametric Tests. Sign Test

Nonparametric Two-Sample Tests. Nonparametric Tests. Sign Test Nonparametric Two-Sample Tests Sign test Mann-Whitney U-test (a.k.a. Wilcoxon two-sample test) Kolmogorov-Smirnov Test Wilcoxon Signed-Rank Test Tukey-Duckworth Test 1 Nonparametric Tests Recall, nonparametric

More information

Nonparametric tests these test hypotheses that are not statements about population parameters (e.g.,

Nonparametric tests these test hypotheses that are not statements about population parameters (e.g., CHAPTER 13 Nonparametric and Distribution-Free Statistics Nonparametric tests these test hypotheses that are not statements about population parameters (e.g., 2 tests for goodness of fit and independence).

More information

ANSWERS TO EXERCISES AND REVIEW QUESTIONS

ANSWERS TO EXERCISES AND REVIEW QUESTIONS ANSWERS TO EXERCISES AND REVIEW QUESTIONS PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS Before attempting these questions read through the introduction to Part Five and Chapters 16-21 of the SPSS

More information

Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm

Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm Mgt 540 Research Methods Data Analysis 1 Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm http://web.utk.edu/~dap/random/order/start.htm

More information

Intro to Parametric & Nonparametric Statistics

Intro to Parametric & Nonparametric Statistics Intro to Parametric & Nonparametric Statistics Kinds & definitions of nonparametric statistics Where parametric stats come from Consequences of parametric assumptions Organizing the models we will cover

More information

Once saved, if the file was zipped you will need to unzip it.

Once saved, if the file was zipped you will need to unzip it. 1 Commands in SPSS 1.1 Dowloading data from the web The data I post on my webpage will be either in a zipped directory containing a few files or just in one file containing data. Please learn how to unzip

More information

SPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav)

SPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Organize and Display One Quantitative Variable (Descriptive Statistics, Boxplot & Histogram) 1. Move the mouse pointer

More information

Directions for using SPSS

Directions for using SPSS Directions for using SPSS Table of Contents Connecting and Working with Files 1. Accessing SPSS... 2 2. Transferring Files to N:\drive or your computer... 3 3. Importing Data from Another File Format...

More information

An Introduction to SPSS. Workshop Session conducted by: Dr. Cyndi Garvan Grace-Anne Jackman

An Introduction to SPSS. Workshop Session conducted by: Dr. Cyndi Garvan Grace-Anne Jackman An Introduction to SPSS Workshop Session conducted by: Dr. Cyndi Garvan Grace-Anne Jackman Topics to be Covered Starting and Entering SPSS Main Features of SPSS Entering and Saving Data in SPSS Importing

More information

The Chi-Square Test. STAT E-50 Introduction to Statistics

The Chi-Square Test. STAT E-50 Introduction to Statistics STAT -50 Introduction to Statistics The Chi-Square Test The Chi-square test is a nonparametric test that is used to compare experimental results with theoretical models. That is, we will be comparing observed

More information

Course Description. Learning Objectives

Course Description. Learning Objectives STAT X400 (2 semester units in Statistics) Business, Technology & Engineering Technology & Information Management Quantitative Analysis & Analytics Course Description This course introduces students to

More information

Chi-Square Tests. In This Chapter BONUS CHAPTER

Chi-Square Tests. In This Chapter BONUS CHAPTER BONUS CHAPTER Chi-Square Tests In the previous chapters, we explored the wonderful world of hypothesis testing as we compared means and proportions of one, two, three, and more populations, making an educated

More information

Introduction to Statistics Used in Nursing Research

Introduction to Statistics Used in Nursing Research Introduction to Statistics Used in Nursing Research Laura P. Kimble, PhD, RN, FNP-C, FAAN Professor and Piedmont Healthcare Endowed Chair in Nursing Georgia Baptist College of Nursing Of Mercer University

More information

General Guidelines about SPSS. Steps needed to enter the data in the SPSS

General Guidelines about SPSS. Steps needed to enter the data in the SPSS General Guidelines about SPSS The entered data has to be numbers and not letters. For example, in the Gender section, we can not write Male and Female in the answers, however, we must give them a code.

More information

List of Examples. Examples 319

List of Examples. Examples 319 Examples 319 List of Examples DiMaggio and Mantle. 6 Weed seeds. 6, 23, 37, 38 Vole reproduction. 7, 24, 37 Wooly bear caterpillar cocoons. 7 Homophone confusion and Alzheimer s disease. 8 Gear tooth strength.

More information

6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test

6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test 6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test Having finally arrived at the bottom of our decision tree, we are now going

More information

Likert Scales. are the meaning of life: Dane Bertram

Likert Scales. are the meaning of life: Dane Bertram are the meaning of life: Note: A glossary is included near the end of this handout defining many of the terms used throughout this report. Likert Scale \lick urt\, n. Definition: Variations: A psychometric

More information

INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA)

INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA) INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA) As with other parametric statistics, we begin the one-way ANOVA with a test of the underlying assumptions. Our first assumption is the assumption of

More information

Chi-square and related statistics for 2 2 contingency tables

Chi-square and related statistics for 2 2 contingency tables Statistics Corner Statistics Corner: Chi-square and related statistics for 2 2 contingency tables James Dean Brown University of Hawai i at Mānoa Question: I used to think that there was only one type

More information

Statistics: revision

Statistics: revision NST 1B Experimental Psychology Statistics practical 5 Statistics: revision Rudolf Cardinal & Mike Aitken 3 / 4 May 2005 Department of Experimental Psychology University of Cambridge Slides at pobox.com/~rudolf/psychology

More information

The Kruskal-Wallis test:

The Kruskal-Wallis test: Graham Hole Research Skills Kruskal-Wallis handout, version 1.0, page 1 The Kruskal-Wallis test: This test is appropriate for use under the following circumstances: (a) you have three or more conditions

More information

The Statistics Tutor s Quick Guide to

The Statistics Tutor s Quick Guide to statstutor community project encouraging academics to share statistics support resources All stcp resources are released under a Creative Commons licence The Statistics Tutor s Quick Guide to Stcp-marshallowen-7

More information

Assumptions. Assumptions of linear models. Boxplot. Data exploration. Apply to response variable. Apply to error terms from linear model

Assumptions. Assumptions of linear models. Boxplot. Data exploration. Apply to response variable. Apply to error terms from linear model Assumptions Assumptions of linear models Apply to response variable within each group if predictor categorical Apply to error terms from linear model check by analysing residuals Normality Homogeneity

More information

T-tests. Daniel Boduszek

T-tests. Daniel Boduszek T-tests Daniel Boduszek d.boduszek@interia.eu danielboduszek.com Presentation Outline Introduction to T-tests Types of t-tests Assumptions Independent samples t-test SPSS procedure Interpretation of SPSS

More information

Foundation of Quantitative Data Analysis

Foundation of Quantitative Data Analysis Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10 - October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1

More information

1 Nonparametric Statistics

1 Nonparametric Statistics 1 Nonparametric Statistics When finding confidence intervals or conducting tests so far, we always described the population with a model, which includes a set of parameters. Then we could make decisions

More information

Research Methods & Experimental Design

Research Methods & Experimental Design Research Methods & Experimental Design 16.422 Human Supervisory Control April 2004 Research Methods Qualitative vs. quantitative Understanding the relationship between objectives (research question) and

More information

Non-parametric Tests Using SPSS

Non-parametric Tests Using SPSS Non-parametric Tests Using SPSS Statistical Package for Social Sciences Jinlin Fu January 2016 Contact Medical Research Consultancy Studio Australia http://www.mrcsau.com.au Contents 1 INTRODUCTION...

More information

Analyzing Research Data Using Excel

Analyzing Research Data Using Excel Analyzing Research Data Using Excel Fraser Health Authority, 2012 The Fraser Health Authority ( FH ) authorizes the use, reproduction and/or modification of this publication for purposes other than commercial

More information

Confidence Intervals for One Standard Deviation Using Standard Deviation

Confidence Intervals for One Standard Deviation Using Standard Deviation Chapter 640 Confidence Intervals for One Standard Deviation Using Standard Deviation Introduction This routine calculates the sample size necessary to achieve a specified interval width or distance from

More information

4. Descriptive Statistics: Measures of Variability and Central Tendency

4. Descriptive Statistics: Measures of Variability and Central Tendency 4. Descriptive Statistics: Measures of Variability and Central Tendency Objectives Calculate descriptive for continuous and categorical data Edit output tables Although measures of central tendency and

More information