Psychological Theories on the problems faced by people who are 'Bicultural'?

How can humans commit such massive and horrifying wars to the extent that millions of people die without exaggeration? No matter how aggressive or selfish humans can be, this does not justify such horrific acts. Not only do tens of thousands of people die, but they also often die in brutal ways, as seen in events like Hiroshima or what continues to happen today in Gaza.

Even if humans have sadistic or aggressive tendencies, such actions seem illogical for beings like us. I believe this phenomenon goes deeper than we can perceive. For instance, animals, while possessing a level of consciousness (albeit not as advanced as humans), do not commit atrocities on this scale.

In nature, stronger animals may prey on weaker ones, driven by survival instincts. Some animals even fight within their o

wn species, but not in the same catastrophic way humans do.

Humans, too, have survival instincts that drive them to act against external threats. Could it be that because humans are considered the dominant species on this planet, with little external threats to their survival, they redirect this aggression and survival instinct toward their own kind? Is it possible that this phenomenon is connected to a universal or natural principle where there must always be a higher power or a looming threat for balance?

To verify the validity of the construction of psychological tests or scales, we need a sample to conduct internal consistency and distinguish the statements. There are several opinions on the appropriate number for the sample. Some specify it at 30 individuals, while others say it is more than 100 individuals.

What is role of society in combating mental health stigma ?

Hello! I have this scale which had 10 items initially. I had to remove items 8 and 10 because they correlated negatively with the scale, and then I removed item 9 because Cronbach's alpha and McDonald's omega were both below .7, and after removing it they are now above .7, as it shows in the picture.

My question is, should I also remove item 7 (IntEm_7) because it would raise the reliability coefficients even more and its item-rest correlation is low (0.16), or should I leave it in? Is it necessary to remove it? And also, would it be a problem if I'm now left with only 6 items out of 10?

My goal is to see the correlation between three scales and this is one of them. I am using Jasp.

Any input is appreciated, thank you!

Several important mental health disorders, such as depression, anxiety disorders, and eating disorders, often start during childhood and adolescence. Some disorders, such as autism, start only during childhood.

What is local wisdom?

currently i am last year degree students in psychology. and my topics so far for my master is this: : Reading in Higher Education - Psychosocial Challenges Faced by Malaysian Students

i would like to know your opinion

The debate on null hypothesis significance testing (NHST) and p-values has been going on for decades and is still going on. One side of the debate advocates abandoning NHST and p-values and promoting statistics reform (new statistics), while the other side defends NHST and p-values.

From my observations, many scientists want to abandon NHST and p-values, while many statisticians do not, although there are a few exceptions on both sides. Table 1 shows twelve distinguished scientists who advocate abandoning NHST and p-values. Table 2 shows fifteen statisticians who are the co-authors of the article: “ASA president’s task force statement on statistical significance and replicability”, which defends NHST and p-values.

As can be seen from Table 1, these scientists include economists, psychologists, physiologists, zoologists, clinical epidemiologist, and ecologists. They are all practitioners who use statistical methods (tools) in their work or practice. On the other hand, as can be seen from Table 2, most of these statisticians are university professors who teach statistics and manufacture (or invent) statistical methods (tools).

So, what do you think of this situation: “Why do many scientists want to abandon NHST and p-values, but many statisticians don’t?”

Table 1 Twelve distinguished scientists who advocate abandoning NHST and p-values

Stephen T. Ziliak， Professor of economics at Roosevelt University, The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives, 2008,University of Michigan Press

Deirdre Nansen McCloskey，Economist at Cato Institute in Washington, D.C，The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives, 2008, University of Michigan Press

David Trafimow, Social Psychology, Professor at New Mexico State University, Editor of Basic and Applied Social Psychology, Banned NHST in Basic and Applied Social Psychology since 2015

Tom Siegfried, Editor in Chief of Science News, To make science better, watch out for statistical flaws, 2014, Science News

Thomas Heckelei, Economist, Professor at University of Bonn, The p-value debate and statistical (Mal) practice–implications for the agricultural and food economics community, German Journal of Agricultural Economics, 2023, 72(1), 47-67

Lewis G Halsey, Professor of environmental physiology at University of Roehampton, The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum? Biology Letters, 2019, 15(5), 20190174

Mark Elkins, Clinical Associate Professor at University of Sydney, Statistical inference through estimation: recommendations from the International Society of Physiotherapy Journal Editors, European Journal of Physiotherapy, 2022, 24(3), 129-133

Geoff Cumming, Retired after a lifetime of teaching psychology at La Trobe University in Melbourne, The New Statistics, Psychological Science, 2014, 25(1)

Valentin Amrhein, Professor of zoology at the University of Basel, Why and how we should join the shift from significance testing to estimation, J Evol Biol. 2022, 35(6), 777-787

Wenjun Zhang, Professor at International Academy of Ecology and Environmental Sciences, Sun Yat-sen University, A desktop calculator for effect sizes: Towards the new statistics, Computational Ecology and Software, 2023, 13(4): 136-181

Norbert Hirschauer, Professor of agribusiness management at the Martin Luther University Halle-Wittenberg, Some thoughts about statistical inference in the 21stcentury, SocArXiv. December 20 2022, doi:10.31235/osf.io/exdfg

Stefanos Bonovas, Clinical epidemiologist, biostatistician and research methodologist at Humanitas University, On p-values and statistical significance, Journal of Clinical Medicine, 2023, 12(3), 900

Table 2 Fifteen statisticians who are the co-authors of the article: “ASA president’s task force statement on statistical significance and replicability” (Ann. Appl. Stat. 2021, 15(3): 1084-1085), defending NHST and p-values

Yoav Benjamini, Professor of Applied Statistics at the Department of Statistics and Operations Research at Tel Aviv University

Richard D. De Veaux, Professor of Statistics in the Department of Mathematics and Statistics at Williams College

Bradley Efron, Professor of Statistics and Biostatistics, Department of Statistics and Department of Biostatistics, Stanford University

Scott Evans, Professor and Founding Chair of the Department of Biostatistics Bioinformatics and the Director of the Biostatistics Center at George Washington University’s Milken Institute School of Public Health

Mark Glickman, Senior Lecturer on Statistics at the Harvard University Department of Statistics, and Senior Statistician at the Center for Healthcare Organization and Implementation Research, a Veterans Administration Center of Innovation

Barry I. Graubard, Senior Investigator in the Biostatistics Branch at the National Cancer Institute

Xuming He, Professor of Statistics, University of Michigan

Karen Kafadar, Professor and Chair of Statistics, University of Virginia

Xiao-Li Meng, Professor in the Department of Statistics at Harvard University

Nancy Reid, Professor of Statistics at the University of Toronto

Stephen M. Stigler, Professor Emeritus at the Department of Statistics of the University of Chicago

Stephen B. Vardeman, Professor, Departments of Statistics and Industrial and Manufacturing System Engineering, Iowa State University

Christopher K. Wikle, Professor and Chair of Statistics at the University of Missouri

Tommy Wright, Research Mathematical Statistician and Chief of the Center for Statistical Research and Methodology, U.S. Bureau of the Census

Linda J. Young, Chief Statistician and Director of Research & Development at the National Agricultural Statistics Service