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The Upside of your Darkside

11/25/2017

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The Upside of Your Dark Side:  Why Being Your Whole Self – Not Just Your “Good” Self – Drives Success and Fulfillment
Authors:  Todd Kashdan and Robert Biswas-Diener
ISBN: 9781594631733
 
APA Style Citation
Kashdan, Todd and Biswas-Diener, Robert (2014). The Upside of Your Dark Side:  Why Being Your Whole Self – Not Just Your “Good” Self – Drives Success and Fulfillment.  New York: Penguin Random House LLC.
 
Buy This Book
https://www.amazon.com/Upside-Your-Dark-Side-Self_Drives/dp/1491528222
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Book Description
Positive psychology began in 1998 with Martin Seligman’s American Psychological Association Presidential address in which he proposed a refocusing of psychology away from illness and dysfunction and onto positive human traits and strengths such as optimism, social responsibility, compassion, courage, and gratitude.  Positive psychology proponents Kashdan and Diener propose in The Upside of Your Darkside that psychology and mental health depend on balance and that negative emotions have an important and useful purpose.  The authors argue that although mindfulness, compassion, happiness and other positive emotions are keys to a productive and purposeful life, negative emotions despite how uncomfortable they may be are important tools for success and fulfillment.  Kashdan and Diener are unique among positive psychologists because they have outlined the evidence that negative emotions such as guilt, fear, selfishness, anger, self-doubt, sadness, and boredom offer specific advantages over positive emotions in various situations.  The Upside of Your Darkside argues that the negative emotions of anger, fear, anxiety, and guilt are adaptive and thus necessary for overall well-being. Individuals attempt to avoid negative emotions because they represent the idea of being stuck, are assumed to involve a loss of self-control, are unpleasant, and have a social cost. Kashdan and Diener however see numerous advantages to experiencing these emotions at least periodically.  Below are some of the ways in which they note that negative emotions may be useful.
  • Guilt is a powerful motivator for personal growth and improvement and helps individuals regulate their behavior and behave in ways that are consistent with their moral compass.
  • Fear provides needed restraint and protection when you are in a situation where physical or emotional harm are possible and helps you to avoid harm.
  • Selfishness and narcissism promote bravery.
  • Anger drives creativity and gets things done as well as giving you the courage to stick up for yourself and others.
  • Self-doubt motivates increases in performance with improved practice.
  • Boredom allows individuals to discover their interests and determine where to focus one’s efforts.
  • Frustration lets you know when you are making inadequate progress toward an important goal.
  • Anxiety can be helpful because without it small issues can develop into serious threats.
 
Throughout the book, the authors cite research and examples of how negative emotions are useful and how balance between positive and negative emotions is a key to well-being. Guilt, for example, is seen as an uncomfortable and undesirable state that is best avoided yet there is an upside to this experience.  Individuals who experience guilt are more motivated than others to make changes in their behavior, which can lead to self-improvement. Clinical psychologist June Tangney found that former felons who experienced higher levels of guilt about their crimes were much less likely than their less guilty peers to experience recidivism. Research has also demonstrated that individuals who experience higher levels of guilt are less likely to drive drunk, steal, use illegal drugs, or commit assaults. Guilt allows individuals to experiment, fail, feel bad, and then become motivated to adjust their actions in the future.
 
Psychologist Roy Baumeister investigated the upside of narcissism and found that highly entitled individuals have the willingness to pursue goals that others view as impossible.  The authors suggest that a certain amount of narcissistic entitlement led to the iPhone, the Human Genome, and Microsoft Windows.  The grandiosity of narcissism has led to great leaders who were willing to take risks and be disliked all in the pursuit of ambition even when others believe a certain task cannot be accomplished.  Small amounts of this trait can help convince and motivate others.  Anxiety in high levels is, of course, a problem, but small amounts of anxiety are helpful. Anxious individuals are quick to warn others and often have a strong desire to care for others.  If anxious individuals do not receive support, they typically seek more data and examine the situation more thoroughly.  In one study, participants were led to believe that they had accidentally activated a computer virus that was rapidly destroying files on the computer they were using. On the way to inform the owner of the computer about what happened researchers set up a series of four obstacles:  a person asking them to take a short survey, another person gave them the name of the building manager but also asked for help with copying in return, the building manager’s door had a sign asking them to wait, and after being finally directed to a specific technician they were confronted by a student who dropped a large stack of important papers.  To make it through the obstacles the person had to be abrupt and assertive, but under these conditions, the most anxious individuals were easily able to cut through the roadblocks with laser like precision.  Requests were declined and they were far more effective than the less anxious participants when it came to alerting others of a danger and getting immediate results.
 
Other positive outcomes, which can come from experiencing negative emotions involve:
  • Students who struggle with material but who persist score higher than students who “get it” right away on later exams.
  • Interviews with individuals who live to be over 100 report that negative feelings are more closely associated with better health and physical activity than positive ones.
  • Police officers who have personally been the victim of a crime have higher levels of grit and engagement when working with crime victims.
  • Employees who start the day in a bad mood but shift to a more positive one in the afternoon were more engrossed in their work than those who were happy all day long.
  • Individuals who experience both negative and positive emotions produce ideas that are rated as more creative than those who are continually happy potentially because the stress involved with dealing with negative states serves as a motivator.
 
The authors suggest that the most productive individuals experience an 80:20 ratio of positive to negative affect although this figure is not an exact cutoff.  Experts in the field of happiness have long stressed the need for eliminating negative emotions and focusing wholeheartedly on positivity and optimism. According to the authors, the secret to success lies in utilizing the full range of emotions and behaviors not only the positive ones to react most effectively to the various situations and dilemmas presented by life. The book is packed with references to scientific research on both the value of negative and positive emotions as well as fascinating real-world examples related to love, work, education, parenting and the military.  The authors outline how comfort addiction leads to a reduced ability to cope with negative experiences, how negative emotion can be very useful in specific situations, and how small doses of very negative traits such narcissism, and psychopathy can give individuals a competitive edge in complex interpersonal interactions. 
 
Other Related Resources
 
Author’s Website:  Author Todd Kashdan, Ph.D.’s website includes links to his TED talk, his Psychology Today blog, and several scientific articles.  Kashdan is a professor of psychology at George Mason University.
http://toddkashdan.com/
 
Author’s Website: Author Robert Biswas-Diener’s website includes links to articles regarding the upside of negative emotions
http://robertdiener.com/
 
Todd Kashdan’s TED Talk “Becoming a Mad Scientist with Your Life”:
https://www.youtube.com/watch?v=UunaTEpWrME
 
Robert Biswas-Diener’s TED Talk “Your Happiest Days Are Behind You”:
https://www.youtube.com/watch?v=-QTVv9tAlIE
 
Psychological Figures and Concepts
Albert Ellis
Hans Eysenck
Sigmund Freud
Daniel Gilbert
Hermann von Helmholtz
Carl G. Jung
Sonya Lyubomirsky
Abraham Maslow
Martin Seligman
Philip Zimbardo
Aggression
Altruism
Anterior cingulate cortex
Autopilot thinking
Cognitive behavioral therapy
Collectivist v. individualistic cultures
Creativity
Defense mechanism
Depression
Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5)
Disgust sensitivity
Exposure therapy
Flourishing scale
Guilt
Happiness
Heuristic
Hierarchy of fears
Hierarchy of needs
Humanist
Identity formation
Leadership style
Learned optimism
Mindfulness
Narcissism
Nucleus accumbens
Optimism v pessimism
Persuasion
Psychopathy
Reciprocity
Rumination
Self-esteem
Social anxiety
Stanford prison experiment
Test anxiety
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Statistics without tears:  A primer for non-Mathematicians

11/3/2017

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​Statistics Without Tears:  A Primer for Non-Mathematicians
Author:  Derek Rowntree
ISBN:  0-02-404090-8
 
APA Style Citation
Rowntree, D.  (1981).  Statistics Without Tears  A Primer for Non-Mathematicians.  Allyn and Bacon, New York.
 
Buy This Book
https://www.amazon.com/Statistics-Without-Tears-Non-Mathematicians-Classics/dp/0205395090

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Book Description
Many Introductory psychology instructors and students consider themselves social scientists rather than mathematicians and can be frightened by the statistical analysis that is inevitably a part of deriving meaning from data.  Derek Rowntree attempts to make this analysis accessible for all regardless of one’s training or prior experience in mathematics.  He achieves this by providing many examples and applications to real-world situations in straightforward language.  Rowntree explains that gamblers use statistics all of the time when placing bets to attempt to determine their chances of winning, the same methods are employed in the analysis of all other types of data.
 
Rowntree begins with a description of statistics and how the term is used.  Statistics may refer to the subject or discipline of statistics, the process of collecting data, the methods used to collect that data or the figures that characterize that data (mean, mode and median).  Rowntree emphasizes that he sees statistics as a set of inquiry that can help decipher the importance (or lack thereof) of a data set.  Descriptive statistics are those that describe observations, which have already occurred while inferential statistics are used to make predictions and observations about a situation that has not yet been observed.  Inferential statistics can also potentially be used to predict the behavior or cognition of the entire population from which a sample has been selected. In order to make this generalization, the sample must be randomly selected from the population defined by the researcher.
 
Rowntree describes different types of data researcher come across.  Nominal data represents different categories such as gender or age, this is categorical data and may be represented by a number but is not quantifiable, it is used solely for identification (males 1, females 2).  Ordinal data can be placed in rank order but does not necessarily have equal spacing between the data points.  If one had 20 used bicycles, they could place them in order from the best to worst condition, but this does not mean that the 1st and 2nd ranked bikes have the same differences as the bikes ranked 7th and 8th.  Nominal and ordinal data are both considered categorical data for which one does not use mathematical computations.  Quantifiable data does use mathematical calculations as can be discrete (number of children one has) or continuous (age).  Rowntree goes on to discuss the types of tables that are appropriate for each type of data sets.
 
Once the data has been collected, descriptive data analysis can begin by examining the mean, mode, and median.  Rowntree acknowledges the frequent use of the mean but notes that the median is preferable in distributions in which there are extreme scores, because these outliers may distort the mean while the median is less susceptible to these extreme scores.  The range is dependent only on two values (the highest and lowest) and therefore does not tell us much about the sample in general.  The inter-quartile breakdown can be quite helpful, and students may relate to this idea as they find out their results on standardized exams, which often report the student’s percentile rank to indicate their performance relative to others who took the same exam.  Standard deviation is also a useful descriptive tool because it describes the average distance from the mean for a set of scores.  The standard deviation can be used to show students where they score compared to others on a certain measure and is less subject to large fluctuations due to extreme scores as is the mean (on pages 54-55 Rowntree also walk through a very simple step-by-step procedure to mathematically find the standard deviation for a set of scores). 
 
Skewed distributions are described as well as normal distributions with many pictures and examples along with a description of what happens to the measures of central tendency in each of these respective distributions.  For those who might be new to teaching introductory Psychology, reading the roughly ten pages on the normal distribution will go a long way toward understanding the information one needs to work with data in a normal distribution and how to compute percentile rank for scores in a normal distribution, this is time well spent. 
 
Rowntree explains that the larger the sample (if it is random), the more it should reflect the population from which it is drawn, and while there is always the possibility of sampling error or bias, this can generally is reduced as the sample size increases.  Researchers can never report with one hundred percent certainty the results of the findings because there is always the potential for sampling error or design flaws.  Even studies that have been replicated often can only at best approach levels of significance (p-scores) that are close to zero.  P-scores of equal to or less than .05 are considered statistically significant in the field of psychology and which point the researchers can be assured that the results of their study are unlikely due to chance.  Later chapters explore a comparison between sampling, which would be helpful to review prior to the testing and individual differences unit as one could compare the results of Intelligence scores in 2 different populations and compare the results.  There are also many examples that could be used in a classroom setting to allow students to work with real data sets.  The chapter on significance testing would be helpful for those who are taking students through analysis of a data set, and Rowntree makes clear connections back to a discussion of the null hypothesis, which students should understand, from their research unit.  
 
Nonparametric tests such as the Mann Whitney test are used when there is no assumption that the data has been distributed normally.  One-tailed p tests are those in which data can move only one way as in measurements of weights (it can only go up from zero) or two-tailed in which data can move either up or down (blood pressure).  These are discussed in terms of the parameters one must reach in order to reject the null hypothesis.  Regardless of one’s level of knowledge with statistics, this book makes statistics accessible and connects concepts to realistic data.  Statistics without Fear is a book to keep on the shelf and refer to year after year to make sure that as social scientists we are still getting our data analysis right.
 
 
Other Related Resources
 
BBC Documentary The Joy of Stats
Hans Rosling’s hour-long BBC documentary on statistical methods
http://www.gapminder.org/videos/the-joy-of-stats/
 
Hans Rosling's 200 Countries, 200 Years, 4 Minutes 
Short clip from Hans Rosling’s BBC documentary, The Joy of Stats that powerfully demonstrates correlational data
https://www.youtube.com/watch?v=jbkSRLYSojo
 
Not Awful and Boring Ideas for Teaching Statistics
Blog with current examples from real life to enliven the teaching of statistical methods that is updated weekly. 
http://notawfulandboring.blogspot.mx/
 
Against All Odds:  Inside Statistics
Annenberg Learning website with numerous helpful videos on statistical concepts
https://www.learner.org/resources/series65.html
     
Stats is Fun Blog
A blog offering current examples and activities related to teaching statistics created by Jessica Hartnett, Ph.D.  She is an associate professor in Gannon University’s Department of Psychology and Counseling.
http://notawfulandboring.blogspot.ch
 
 
Psychological Figures and Concepts
Bar chart
Biased sampling
Confidence interval
Descriptive statistic
Frequency distribution
Histogram
Inferential statistic
Mann-Whitney test
Measures of central tendency
Nominal data
Normal distribution
Null hypothesis
Ordinal data
p-score
Percentile rank
Pie chart
Population
Probability of error
Random sample
Sampling variation
Significance testing
Skewed distribution (positive and negative)
Standard deviation
Stratified sampling
Type 1 error
Type 2 error
Z-score
 
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    Authors

    Laura Brandt, Nancy Fenton, and Jessica Flitter are AP Psychology instructors. Nancy Fenton teaches at  Adlai E. Stevenson High School in Lincolnshire, Illinois, Laura Brandt teaches at Libertyville High School in Libertyville Illinois and Jessica Flitter teachers at West Bend East High School in West Bend, Wisconsin.
    If you are interested in reviewing a book for the blog or have comments or questions, please e-mail us at either [email protected] or [email protected] or [email protected].

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