Statistics for the Behavioral Sciences Book

	Preface	xv
	To the Student	xxi
Part 1	Statistical Preliminaries	1
Chapter 1	Introduction and Mathematical Preliminaries	2
1.1	The Study of Statistics	2
1.2	Research in the Behavioral Sciences	4
1.3	Variables	5
1.4	Measurement	6
1.5	Discrete and Continuous Variables	14
1.6	Populations and Samples	16
Box 1.1	Biased Sampling	17
1.7	Descriptive and Inferential Statistics	18
1.8	The Concept of Probability	19
1.9	Mathematical Preliminaries: A Review	20
1.10	Statistics and Computers	28
	Summary	29
Chapter 2	Frequency and Probability Distributions	34
2.1	Frequency Distributions for Quantitative Variables: Ungrouped Scores	34
2.2	Frequency Distributions for Quantitative Variables: Grouped Scores	38
2.3	Frequency Distributions for Qualitative Variables	41
2.4	Outliers	42
2.5	Frequency Graphs	43
2.6	Misleading Graphs	51
2.7	Graphs of Relative Frequencies, Percentages, Cumulative Frequencies, and Cumulative Relative Frequencies	52
2.8	Probability Distributions	53
2.9	Empirical and Theoretical Distributions	56
2.10	Method of Presentation	57
2.11	Examples from the Literature	59
	Summary	63
Chapter 3	Measures of Central Tendency and Variability	67
3.1	Measures of Central Tendency for Quantitative Variables	68
3.2	Measures of Variability for Quantitative Variables	78
3.3	Computational Formula for the Sum of Squares	83
3.4	Relationship Between Central Tendency and Variability	85
3.5	Graphs of Central Tendency and Variability	86
3.6	Measures of Central Tendency and Variability for Qualitative Variables	89
3.7	Skewness and Kurtosis	90
3.8	Sample Versus Population Notation	91
3.9	Method of Presentation	91
3.10	Example from the Literature	92
	Summary	95
Chapter 4	Percentiles, Percentile Ranks, Standard Scores, and the Normal Distribution	100
4.1	Percentiles and Percentile Ranks	101
4.2	Standard Scores	105
4.3	Standard Scores and the Normal Distribution	109
4.4	Standard Scores and the Shape of the Distribution	113
4.5	Method of Presentation	113
	Summary	120
Appendix 4.1	The Normal Distribution Formula	121
Chapter 5	Pearson Correlation and Regression: Descriptive Aspects	125
5.1	Use of Pearson Correlation	125
5.2	The Linear Model	126
5.3	The Pearson Correlation Coefficient	130
5.4	Correlation and Causation	138
5.5	Interpreting the Magnitude of a Correlation Coefficient	139
5.6	Regression	140
5.7	Additional Issues Associated with the Use of Correlation and Regression	145
	Summary	153
Chapter 6	Probability	157
6.1	Probabilities of Simple Events	159
6.2	Conditional Probabilities	160
6.3	Joint Probabilities	161
6.4	Adding Probabilities	162
6.5	Relationships Among Probabilities	162
6.6	Sampling with Versus Without Replacement	164
Box 6.1	Beliefs and Probability Theory	165
6.7	Counting Rules	166
6.8	The Binomial Expression	169
	Summary	176
Chapter 7	Estimation and Sampling Distributions	181
7.1	Finite Versus Infinite Populations	181
7.2	Estimation of the Population Mean	182
7.3	Estimation of the Population Variance and Standard Deviation	184
7.4	Degrees of Freedom	187
7.5	Sampling Distribution of the Mean and the Central Limit Theorem	188
Box 7.1	Polls and Random Samples	191
7.6	Types of Sampling Distributions	197
	Summary	202
Chapter 8	Hypothesis Testing: Inferences About a Single Mean	205
8.1	A Simple Analogy for Principles of Hypothesis Testing	205
8.2	Statistical Inference and the Normal Distribution: The One-Sample z Test	206
8.3	Defining Expected and Unexpected Results	210
8.4	Failing to Reject Versus Accepting the Null Hypothesis	211
8.5	Type I and Type II Errors	212
8.6	Effects of Alpha and Sample Size on the Power of Statistical Tests	214
8.7	Statistical and Real-World Significance	216
8.8	Directional Versus Nondirectional Tests	216
8.9	Statistical Inference Using Estimated Standard Errors: The One-Sample t Test	219
8.10	Confidence Intervals	225
8.11	Method of Presentation	229
8.12	Examples from the Literature	231
	Summary	233
Part 2	The Analysis of Bivariate Relationships	239
Chapter 9	Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships	240
9.1	Principles of Research Design: Statistical Implications	240
Box 9.1	Confounding and Disturbance Variables	247
9.2	Selecting the Appropriate Statistical Test to Analyze a Relationship: A Preview	251
	Summary	255
Chapter 10	Independent Groups t Test	259
10.1	Use of the Independent Groups t Test	259
10.2	Inference of a Relationship Using the Independent Groups t Test	261
10.3	Strength of the Relationship	271
10.4	Nature of the Relationship	280
10.5	Methodological Considerations	281
10.6	Numerical Example	281
10.7	Planning an Investigation Using the Independent Groups t Test	284
10.8	Method of Presentation	286
10.9	Examples from the Literature	287
	Summary	294
Chapter 11	Correlated Groups t Test	302
11.1	Use of the Correlated Groups t Test	302
11.2	Inference of a Relationship Using the Correlated Groups t Test	303
11.3	Strength of the Relationship	308
11.4	Nature of the Relationship	311
11.5	Methodological Considerations	311
11.6	Power of Correlated Groups Versus Independent Groups t Tests	312
11.7	Numerical Example	314
11.8	Planning an Investigation Using the Correlated Groups t Test	316
11.9	Method of Presentation	317
11.10	Examples from the Literature	318
	Summary	321
Appendix 11.1	Computational Procedures for the Nullified Score Approach	322
Chapter 12	One-Way Between-Subjects Analysis of Variance	329
12.1	Use of One-Way Between-Subjects Analysis of Variance	329
12.2	Inference of a Relationship Using One-Way Between-Subjects Analysis of Variance	330
12.3	Relationship of the F Test to the t Test	344
12.4	Strength of the Relationship	344
12.5	Nature of the Relationship	345
12.6	Unstandardized Effect Sizes and Confidence Intervals	349
12.7	Methodological Considerations	350
12.8	Numerical Example	350
12.9	Planning an Investigation Using One-Way Between-Subjects Analysis of Variance	354
12.10	Method of Presentation	354
12.11	Examples from the Literature	356
	Summary	360
Appendix 12.1	Rationale for the Degrees of Freedom	361
Chapter 13	One-Way Repeated Measures Analysis of Variance	369
13.1	Use of One-Way Repeated Measures Analysis of Variance	369
13.2	Inference of a Relationship Using One-Way Repeated Measures Analysis of Variance	371
13.3	Strength of the Relationship	380
13.4	Nature of the Relationship	381
13.5	Unstandardized Effect Size and Confidence Intervals	383
13.6	Methodological Considerations	383
13.7	Numerical Example	385
13.8	Planning an Investigation Using One-Way Repeated Measures Analysis of Variance	388
13.9	Method of Presentation	389
13.10	Examples from the Literature	390
	Summary	395
Appendix 13.1	Determining the Nature of the Relationship Under Sphericity Violations	395
Chapter 14	Pearson Correlation and Regression: Inferential Aspects	402
14.1	Use of Pearson Correlation	402
14.2	Inference of a Relationship Using Pearson Correlation	403
14.3	Strength of the Relationship	407
14.4	Confidence Intervals for the Correlation Coefficient	407
14.5	Nature of the Relationship	408
14.6	Planning an Investigation Using Pearson Correlation	408
14.7	Method of Presentation for Pearson Correlation	408
14.8	Examples from the Literature	409
14.9	Regression	411
14.10	Numerical Example	414
14.11	Method of Presentation for Regression	418
	Summary	423
Appendix 14.1	Testing Null Hypotheses Other Than [rho] = 0	423
Appendix 14.2	Confidence Intervals for the Correlation Coefficient	425
Chapter 15	Chi-Square Test	433
15.1	Use of the Chi-Square Test	433
15.2	Two-Way Contingency Tables	434
15.3	Chi-Square Tests of Independence and Homogeneity	435
15.4	Inference of a Relationship Using the Chi-Square Test	435
15.5	2 x 2 Tables	441
15.6	Strength of the Relationship	442
15.7	Nature of the Relationship	443
15.8	Methodological Considerations	444
15.9	Numerical Example	445
15.10	Use of Quantitative Variables in the Chi-Square Test	446
15.11	Planning an Investigation Using the Chi-Square Test	447
15.12	Method of Presentation	448
15.13	Examples from the Literature	449
15.14	Chi-Square Goodness-of-Fit Test	451
	Summary	455
Appendix 15.1	Determining the Nature of the Relationship Using a Modified Bonferroni Procedure	456
Chapter 16	Nonparametric Statistics	463
16.1	Rank Scores	464
16.2	Nonparametric Statistics and Outliers	466
16.3	Analysis of Ranked Data Using Parametric Formulas	467
16.4	Rank Tests for Two Independent Groups	467
16.5	Rank Test for Two Correlated Groups	471
16.6	Rank Test for Three or More Independent Groups	474
16.7	Rank Test for Three or More Correlated Groups	477
16.8	Rank Test for Correlation	480
16.9	Examples from the Literature	483
	Summary	486
Appendix 16.1	Corrections for Ties for Nonparametric Rank Tests	486
Part 3	Additional Topics	495
Chapter 17	Two-Way Between-Subjects Analysis of Variance	496
17.1	Factorial Designs	497
17.2	Use of Two-Way Between-Subjects Analysis of Variance	498
17.3	The Concepts of Main Effects and Interactions	499
17.4	Inference of Relationships Using Two-Way Between-Subjects Analysis of Variance	506
17.5	Strength of the Relationships	514
17.6	Nature of the Relationships	515
17.7	Methodological Considerations	518
17.8	Numerical Example	518
17.9	Unequal Sample Sizes	526
17.10	Planning an Investigation Using Two-Way Between-Subjects Analysis of Variance	527
17.11	Method of Presentation	529
17.12	Examples from the Literature	531
	Summary	536
Chapter 18	Overview and Extension: Selecting the Appropriate Statistical Test for Analyzing Bivariate Relationships and Procedures for More Complex Designs	544
18.1	Selecting the Appropriate Statistical Test for Analyzing Bivariate Relationships	544
18.2	Case I: The Relationship Between Two Qualitative Variables	545
18.3	Case II: The Relationship Between a Qualitative Independent Variable and a Quantitative Dependent Variable	545
18.4	Case III: The Relationship Between a Quantitative Independent Variable and a Qualitative Dependent Variable	549
18.5	Case IV: The Relationship Between Two Quantitative Variables	549
18.6	Procedures for More Complex Designs	550
18.7	Alternative Approaches to Null Hypothesis Testing	553
	Summary	554
Appendix A	Table of Random Numbers	559
Appendix B	Proportions of Scores in a Normal Distribution	562
Appendix C	Factorials	572
Appendix D	Critical Values for the t Distribution	573
Appendix E	Power and Sample Size	575
Appendix F	Critical Values for the F Distribution	599
Appendix G	Studentized Range Values (q)	603
Appendix H	Critical Values for Pearson r	606
Appendix I	Title:    Statistics for the Behavioral Sciences Manufacturer: National Learning Corporation National Learning Corporation Item Number: 9780534634032 Publication Date: July 2009 Number: 5 Product Description: Statistics for the Behavioral Sciences Universal Product Code (UPC): 9780534634032 WonderClub Stock Keeping Unit (WSKU): 9780534634032 Rating: 4/5 based on 2 Reviews Image Location: https://wonderclub.com/images/covers/40/32/9780534634032.jpg Category: Media >> Books Weight: 0.200 kg (0.44 lbs) Width: 7.400 cm (2.91 inches) Heigh : 9.200 cm (3.62 inches) Depth: 1.300 cm (0.51 inches) Date Added: August 25, 2020, Added By: Ross Date Last Edited: August 25, 2020, Edited By: Ross Price Condition Delivery Seller Action $235.23 Digital Arrives between May 12 - Jun 11 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00 WonderClub (9296 total ratings) Question Concerning Statistics for the Behavioral Sciences Ask a Question about Statistics for the Behavioral Sciences No Question found! Read Reviews for Statistics for the Behavioral Sciences Write review Bob Evans reviewed Statistics for the Behavioral Sciences on April 12, 2017 Statistics for the Behavioral Sciences After I read this book, which I finished many, many years ago, I had become self-critical of any future endeavours which would take up a lot of my time. I would ask myself "is this or will this be meaningful to me?", and if the answer was "no", I wouldn't do it. It was this book that influenced me to consciously live as meaningful a life as possible, to place a great value on the journey and not just the destination, while knowing that "meaningful" doesn't always mean "enjoyable". "Meaningful" should be equated with "fulfilling". So I studied Physics instead of Engineering. I went to York U instead of U of T. I went to Europe instead of immediately entering the workforce after graduation. I want to recommend this book to all of my grade 12 students. Login   |   Complaints   |   Blog   |   Games   |   Digital Media   |   Souls   |   Obituary   |   Contact Us   |   FAQ CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X You must be logged in to add to Wishlist E-mail address: Password:           Open Account Here X This item is in your Wish List View Wish List Remove from List Continue Shopping X This item is in your Collection Statistics for the Behavioral Sciences View Collection Remove from Collection Edit Collection Continue Shopping X This Item is in Your Inventory Statistics for the Behavioral Sciences View Inventory Remove from Inventory Edit Inventory Continue Shopping X You must be logged in to review the products E-mail address: Password:           Open Account Here X View Cart Checkout Continue Shopping X X Add Statistics for the Behavioral Sciences, Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientifi, Statistics for the Behavioral Sciences to the inventory that you are selling on WonderClub Product Condition Collectible - Good Collectible - Acceptable Collectible - Very Good Collectible - Like New New - New Refurbished - Refurbished Replica - Acceptable Replica - Good Replica - Very Good Replica - Like New Replica - New Used - Like New Used - Very Good Used - Good Used - Acceptable Price Condition Note Quantity 1 2 3 4 5 6 7 8 9 10 MSKU MSKU=Merchant Stock Keeping Unit, You can create any value you wish to help you keep track of your products Add X X Add Statistics for the Behavioral Sciences, Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientifi, Statistics for the Behavioral Sciences to your collection on WonderClub Condition Note Quantity 1 2 3 4 5 6 7 8 9 10 MSKU MSKU=Merchant Stock Keeping Unit, You can create any value you wish to help you keep track of your products Value This is the value of this item at today's market price Price Paid This is the price you paid for this item. Add