Table of Contents. New to the Second Edition... Chapter 1: Introduction : Social Research...

Similar documents
Contents Part I Descriptive Statistics 1 Introduction and Framework Population, Sample, and Observations Variables Quali

Contents. An Overview of Statistical Applications CHAPTER 1. Contents (ix) Preface... (vii)

GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1

Subject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018

Central University of Punjab, Bathinda

XLSTAT TIP SHEET FOR BUSINESS STATISTICS CENGAGE LEARNING

Chapter 6 Simple Correlation and

SPSS t tests (and NP Equivalent)

Descriptive Analysis

KARACHI UNIVERSITY BUSINESS SCHOOL UNIVERSITY OF KARACHI BS (BBA) VI

34.S-[F] SU-02 June All Syllabus Science Faculty B.Sc. I Yr. Stat. [Opt.] [Sem.I & II] - 1 -

2018 AAPM: Normal and non normal distributions: Why understanding distributions are important when designing experiments and analyzing data

Summary of Statistical Analysis Tools EDAD 5630

32.S [F] SU 02 June All Syllabus Science Faculty B.A. I Yr. Stat. [Opt.] [Sem.I & II] 1

Computational Statistics Handbook with MATLAB

Exploratory Data Analysis (EDA)

9/17/2015. Basic Statistics for the Healthcare Professional. Relax.it won t be that bad! Purpose of Statistic. Objectives

DATA SUMMARIZATION AND VISUALIZATION

Chapter 3. Numerical Descriptive Measures. Copyright 2016 Pearson Education, Ltd. Chapter 3, Slide 1

Exploring Data and Graphics

Valid Missing Total. N Percent N Percent N Percent , ,0% 0,0% 2 100,0% 1, ,0% 0,0% 2 100,0% 2, ,0% 0,0% 5 100,0%

Introduction to Statistical Data Analysis II

Quantitative Methods for Health Care Professionals PUBH 741 (2013)

Dot Plot: A graph for displaying a set of data. Each numerical value is represented by a dot placed above a horizontal number line.

St. Xavier s College Autonomous Mumbai STATISTICS. F.Y.B.Sc. Syllabus For 1 st Semester Courses in Statistics (June 2015 onwards)

AP STATISTICS FALL SEMESTSER FINAL EXAM STUDY GUIDE

Getting to know data. Play with data get to know it. Image source: Descriptives & Graphing

1. Distinguish three missing data mechanisms:

Two-Sample T-Test for Superiority by a Margin

Descriptive Statistics

Two-Sample T-Test for Non-Inferiority

St. Xavier s College Autonomous Mumbai F.Y.B.A. Syllabus For 1 st Semester Course in Statistics (June 2017 onwards)

Market Risk Analysis Volume I

Basic Procedure for Histograms

Description of Data I

One Way ANOVA with Tukey Post hoc. Case Processing Summary

2 Exploring Univariate Data

Getting to know a data-set (how to approach data) Overview: Descriptives & Graphing

Data screening, transformations: MRC05

101: MICRO ECONOMIC ANALYSIS

Lecture 1: Review and Exploratory Data Analysis (EDA)

St. Xavier s College Autonomous Mumbai. Syllabus For 2 nd Semester Course in Statistics (June 2015 onwards)

Chapter 7 Notes. Random Variables and Probability Distributions

Data Distributions and Normality

Overview/Outline. Moving beyond raw data. PSY 464 Advanced Experimental Design. Describing and Exploring Data The Normal Distribution

CFA Level I - LOS Changes

CFA Level I - LOS Changes

Some estimates of the height of the podium

Stat 101 Exam 1 - Embers Important Formulas and Concepts 1

CHAPTER 2 Describing Data: Numerical

Lecture Week 4 Inspecting Data: Distributions

Bangor University Transfer Abroad Undergraduate Programme Module Implementation Plan

Week 1 Variables: Exploration, Familiarisation and Description. Descriptive Statistics.

Math 2311 Bekki George Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment

Simple Descriptive Statistics

Some Characteristics of Data

STATISTICAL DISTRIBUTIONS AND THE CALCULATOR

Exploratory Data Analysis

SPSS I: Menu Basics Practice Exercises Target Software & Version: SPSS V Last Updated on January 17, 2007 Created by Jennifer Ortman

Summary of Information from Recapitulation Report Submittals (DR-489 series, DR-493, Central Assessment, Agricultural Schedule):

Model Paper Statistics Objective. Paper Code Time Allowed: 20 minutes

Establishing a framework for statistical analysis via the Generalized Linear Model

Steps with data (how to approach data)

ERM (Part 1) Measurement and Modeling of Depedencies in Economic Capital. PAK Study Manual

DazStat. Introduction. Installation. DazStat is an Excel add-in for Excel 2003 and Excel 2007.

CFA Level 1 - LOS Changes

Numerical Descriptions of Data

International Cost Estimating and Analysis Association Testable Topics List CCEA

Variance, Standard Deviation Counting Techniques

Frequency Distribution and Summary Statistics

Notice that X2 and Y2 are skewed. Taking the SQRT of Y2 reduces the skewness greatly.

Evaluating the Characteristics of Data CHARACTERISTICS OF LEVELS OF MEASUREMENT

Handout 4 numerical descriptive measures part 2. Example 1. Variance and Standard Deviation for Grouped Data. mf N 535 = = 25

We will use an example which will result in a paired t test regarding the labor force participation rate for women in the 60 s and 70 s.

List of figures. I General information 1

Influence of Personal Factors on Health Insurance Purchase Decision

Session 5: Associations

CHAPTER 6 DATA ANALYSIS AND INTERPRETATION

Topic 8: Model Diagnostics

Chapter 11 Part 6. Correlation Continued. LOWESS Regression

Point-Biserial and Biserial Correlations

UNIVERSITY OF MUMBAI

D.K.M COLLEGE FOR WOMEN (AUTONOMOUS) VELLORE -1. RESEARCH METHODOLOGY-15CPCO3D II M.COM -QUESTION BANK

Manual for the TI-83, TI-84, and TI-89 Calculators

1 Describing Distributions with numbers

Diploma in Financial Management with Public Finance

Lectures delivered by Prof.K.K.Achary, YRC

Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority

MATHEMATICS APPLIED TO BIOLOGICAL SCIENCES MVE PA 07. LP07 DESCRIPTIVE STATISTICS - Calculating of statistical indicators (1)

Standardized Data Percentiles, Quartiles and Box Plots Grouped Data Skewness and Kurtosis

12.1 One-Way Analysis of Variance. ANOVA - analysis of variance - used to compare the means of several populations.

Lecture 2 Describing Data

NCSS Statistical Software. Reference Intervals

Percentiles, STATA, Box Plots, Standardizing, and Other Transformations

Copyright 2005 Pearson Education, Inc. Slide 6-1

**BEGINNING OF EXAMINATION** A random sample of five observations from a population is:

palgrave Shipping Derivatives and Risk Management macmiuan Amir H. Alizadeh & Nikos K. Nomikos

Section-2. Data Analysis

STAT 113 Variability

Diploma Part 2. Quantitative Methods. Examiner s Suggested Answers

Transcription:

iii Table of Contents Preface... xiii Purpose... xiii Outline of Chapters... xiv New to the Second Edition... xvii Acknowledgements... xviii Chapter 1: Introduction... 1 1.1: Social Research... 1 Introduction... 1 Purpose of Research... 1 Research Traditions... 2 New Trends in Research... 5 1.2: Research Ethics... 7 Importance of Ethical Research... 7 Characteristics of Ethical Research... 7 Institutional Review Boards... 9 1.3: Chapter 1 Review... 11 Chapter 2: Qualitative Research... 15 2.1: Basic Concepts... 15 Introduction... 15 Sampling... 16 Qualitative Designs... 18 Central Questions... 20 2.2: Research Tools... 22 Data Collection... 22 Data Analysis... 23 Reporting the Findings... 25 2.3: Threats to Validity... 26

iv Introduction... 26 Researcher Bias... 26 Descriptive Validity... 27 Interpretive Validity... 27 Theoretical Validity... 27 Internal Validity... 28 External Validity... 28 2.4: Chapter 2 Review... 29 Chapter 3: Quantitative Research... 33 3.1: Basic Concepts... 33 Introduction... 33 Constructs... 34 Sampling... 35 Measurement... 38 Scales of Measurement... 42 Measurement Validity... 44 Normal Distribution... 45 Item and Test Analysis... 47 3.2: Quantitative Research Designs... 49 Introduction... 49 Non-Experimental Designs... 49 Experimental Designs... 58 Pre-Experimental Designs... 64 Single-Case Designs... 65 Mixed Methods Designs... 67 3.3: Threats to Validity... 68 Overview... 68 Internal Validity... 68 External Validity... 74 3.4: Chapter 3 Review... 79 Chapter 4: Evaluation Research... 85

v 4.1: Basic Concepts... 85 Overview... 85 Evaluation Types... 86 Evaluation Strategies... 87 Evaluation Framework... 89 Evaluation Questions... 90 Evaluability Assessment... 92 4.2: Chapter 4 Review... 97 Chapter 5: Using SPSS... 101 5.1: Introduction... 101 SPSS Help... 101 Data Preparation... 102 5.2. SPSS Data Editor... 104 Introduction... 104 Entering Data Manually... 105 Importing Data... 109 Codebook... 109 Comparing Datasets... 110 Screening Data... 111 Editing Data... 112 Selecting Cases... 113 Weighting Cases... 115 Computing Variables... 116 Recoding Variables... 117 Dealing with Missing Values... 118 Sorting Cases and Variables... 119 Splitting Files... 120 Printing Data... 121 Saving and Exporting Data... 122 5.3. SPSS Syntax Editor... 123 5.4. SPSS Output Editor... 125

vi 5.5. Chapter 5 Review... 128 Chapter 6: Descriptive Statistics... 131 6.1: Introduction... 131 Overview... 131 SPSS Procedures... 132 6.2: Measures of Central Tendency... 134 Mean... 134 5% Trimmed Mean... 135 Median... 135 Mode... 135 Summary... 136 6.3: Measures of Dispersion... 137 Standard Deviation... 137 Variance... 138 Standard Error of the Mean... 138 Skewness... 139 Kurtosis... 140 Range... 141 Interquartile Range... 142 Outliers... 143 Summary... 144 6.4: Measures of Relative Position... 145 Percentiles... 145 Deciles... 145 Quartiles... 145 6.5: Normal Curve Transformations... 146 (Z-Score, N(0,1)... 146 T-Score, N(50,10)... 147 Normal Curve Equivalent (NCE) Score, N(50, 21.06)... 148 Stanine Score... 148 Standardized Norm-Referenced Testing... 148

vii 6.6: Graphs and Charts... 150 Creating Graphs and Charts in SPSS... 150 Line Chart... 150 Bar Chart... 152 Pie Chart... 153 Histogram... 154 Boxplot... 155 Stem-and-Leaf Plot... 157 Scatterplot... 158 Q-Q Plot... 161 Detrended Q-Q Plot... 163 P-P Plot... 164 6.7: Chapter 6 Review... 165 Chapter 7: Inferential Statistics... 171 7.1: Basic Concepts... 171 Introduction... 171 Estimation... 174 Confidence Intervals... 175 Hypothesis Testing... 176 Steps in Inferential Statistics... 187 7.2: Evaluating Test Assumptions... 190 Introduction... 190 Independence of Observations... 190 Measurement Without Error... 191 Normality... 192 Linearity... 198 Homogeneity of Variance... 201 Homoscedasticity... 201 Homogeneity of Variance-Covariance Matrices... 203 Sphericity... 203 Homogeneity of Regressions... 204

viii Multicollinearity... 204 Dealing with Deviations... 206 7.3: Test Decision Tree... 209 7.4: Chapter 7 Review... 213 Chapter 8: Goodness-of-Fit Tests... 219 8.1: Introduction... 219 8.2: Nonparametric Tests... 221 Chi-Square ( 2) Goodness-of-Fit Test... 221 Binomial Test... 225 Kolmogorov-Smirnov Test... 229 Shapiro-Wilk W Test... 234 Wald-Wolfowitz Runs Test for Randomness... 237 One-Sample Wilcoxon Signed-Rank Test... 240 8.3: Parametric Tests... 244 One-Sample t-test... 244 8.4: Chapter 8 Review... 248 Chapter 9: Difference Tests... 251 9.1: Introduction... 251 Overview... 251 Multivariate Tests... 252 Factorial Designs... 252 Post Hoc Multiple Comparison Tests... 256 Contrasts... 257 Controlling Type I Error... 258 9.2: Nonparametric Tests... 260 McNemar Test... 260 Related Samples Sign Test... 263 Wilcoxon Matched-Pair Signed Ranks Test... 266 Cochran s Q Test... 270 Mann-Whitney U Test... 273 Median Test... 276

ix Kruskal-Wallis H Test... 279 Friedman Test... 283 9.3: Parametric Tests... 288 Levene s Test of Equality of Variance... 288 Independent t-test... 289 Dependent t-test... 294 Between Subjects Analysis of Variance... 297 Within Subjects Analysis of Variance... 309 Multivariate Analysis of Variance... 316 Analysis of Covariance... 324 9.4: Chapter 9 Review... 332 Chapter 10: Correlation and Prediction Tests... 337 10.1: Introduction... 337 Overview... 337 Correlation... 338 Reliability... 344 Regression... 349 10.2: Nonparametric Tests... 351 Pearson Chi-Square ( 2) Contingency Table Analysis... 351 Relative Risk and Odds Ratio... 355 Phi ( ) and Cramér s V... 359 Contingency Coefficient... 362 Lambda ( )... 364 Uncertainty Coefficient (UC)... 367 Gamma ( )... 370 Eta ( ) Correlation Coefficient... 373 Spearman Rank Order Correlation Test... 375 Somers d... 378 Kendall s Tau-b ( b) and Tau-c ( c)... 380 Intraclass Correlation Coefficient... 384 Cohen s Kappa ( )... 386

x Binomial Logistic Regression... 389 10.3: Parametric Tests... 397 Pearson Product-Moment Correlation Test... 397 Point-Biserial Correlation (rpb)... 400 Internal Consistency Reliability Analysis... 403 Partial Correlation... 407 Bivariate Regression... 410 Multiple Regression and Correlation... 417 Discriminant Analysis... 430 Principal Components and Factor Analysis... 439 Canonical Correlation Analysis... 451 Two-Step Cluster Analysis... 460 10.4: Chapter 10 Review... 463 Chapter 11: Research Manuscripts... 469 11.1: Introduction... 469 11.2: Research Report Format... 471 Front Matter... 471 Introduction... 471 Literature Review... 474 Methodology... 475 Results... 476 Discussion... 480 End Matter... 481 11.3: Chapter 11 Review... 482 Chapter 12: Case Studies... 485 12.1: Research Methodology Cases... 485 Case #1 - Correlation Study... 485 Case #2 - Experimental Study... 486 Case #3 - Longitudinal Study... 487 Case #4 - Non-Experimental Study... 488 Case #5 - Non-Experimental Study... 488

xi Case #6 - Experimental Study... 489 12.2: Statistical Analysis Cases... 490 Case #7 - Data Screening... 490 Case #8 - Correlation Analysis... 490 Case #9 - Two Groups Analysis... 491 Case #10 - Multiple Groups Analysis... 492 Case #11 - Regression Analysis... 493 Case #12 - Repeated Measures Analysis... 494 Case #13 - Repeated Measures Analysis... 495 12.3: Preferred Solutions... 496 Case #1 Solution - Correlation Study... 496 Case #2 Solution - Experimental Study... 497 Case #3 Solution - Longitudinal Study... 498 Case #4 Solution - Non-Experimental Study... 500 Case #5 Solution - Non-Experimental Study... 501 Case #6 Solution - Experimental Study... 503 Case #7 Solution - Data Screening... 505 Case #8 Solution - Correlation Analysis... 513 Case #9 Solution - Two Groups Analysis... 515 Case #10 Solution - Multiple Groups Analysis... 516 Case #11 Solution - Regression Analysis... 520 Case #12 Solution - Repeated Measures Analysis... 523 Case #13 Solution - Repeated Measures Analysis... 527 Appendix A: Statistical Abbreviations and Symbols... 531 Appendix B: Glossary... 537 Appendix C: About the Authors... 585 Appendix D: References... 587 Index... 597