MMPI Findings on Astrological and other Folklore Concepts of Personality

1996 ◽  
Vol 78 (3_suppl) ◽  
pp. 1059-1070 ◽  
Author(s):  
W. Grant Dahlstrom ◽  
Donald Hopkins ◽  
Leona Dahlstrom ◽  
Elizabeth Jackson ◽  
Edward Cumella
Keyword(s):  
Empirical Research ◽  
Effect Size ◽  
Yearly Cycle ◽  
Day Of The Week ◽  
Males And Females ◽  
Mmpi Profile ◽  
Community Adult

The 2600 community adult subjects tested in the 1989 MMPI restandardization project by Butcher, Dahlstrom Graham, Tellegen, and Kaemmer were grouped on the basis of their astrological sign the year of their birth in the oriental yearly cycle, and the day of the week on which they were born. Analyses of variance were carried out on the T scores of the basic MMPI profile scales for both males and females on each of these categories. No effect size ( R2) larger than 2% was obtained on any scale in these analyses. No evidence was found in support of these folklore concepts. Discussion focused on the continuing paucity of empirical research on and support for these notions.

USING R FOR PSYCHOLOGICAL RESEARCH: A TUTORIAL OF BASIC METHODS

2020 ◽  
pp. 28-63
Author(s):  
A. G. Vinogradov
Keyword(s):  
Sample Size ◽  
Empirical Research ◽  
Effect Size ◽  
Statistical Power ◽  
Sample Size Calculation ◽  
Psychological Research ◽  
Research Data ◽  
Statistical Hypothesis ◽  
Categorical Variables ◽  
Measurement Scales

The article belongs to a special modern genre of scholar publications, so-called tutorials – articles devoted to the application of the latest methods of design, modeling or analysis in an accessible format in order to disseminate best practices. The article acquaints Ukrainian psychologists with the basics of using the R programming language to the analysis of empirical research data. The article discusses the current state of world psychology in connection with the Crisis of Confidence, which arose due to the low reproducibility of empirical research. This problem is caused by poor quality of psychological measurement tools, insufficient attention to adequate sample planning, typical statistical hypothesis testing practices, and so-called “questionable research practices.” The tutorial demonstrates methods for determining the sample size depending on the expected magnitude of the effect size and desired statistical power, performing basic variable transformations and statistical analysis of psychological research data using language and environment R. The tutorial presents minimal system of R functions required to carry out: modern analysis of reliability of measurement scales, sample size calculation, point and interval estimation of effect size for four the most widespread in psychology designs for the analysis of two variables’ interdependence. These typical problems include finding the differences between the means and variances in two or more samples, correlations between continuous and categorical variables. Practical information on data preparation, import, basic transformations, and application of basic statistical methods in the cloud version of RStudio is provided.

ANOMALI PASAR PADA RETURN SAHAM LQ 45 DI BURSA EFEK INDONESIA: FENOMENA THE DAY OF WEEK EFFECT, WEEK FOUR EFFECT, ROGALSKY EFFECT, DAN JANUARY EFFECT

2016 ◽  
Vol 12 (1) ◽  
pp. 51
Author(s):  
Reza Widhar Pahlevi
Keyword(s):  
Empirical Research ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Weak Form ◽  
Strong Form ◽  
January Effect ◽  
Efficient Markets ◽  
Efficient Market ◽  
Market Anomalies ◽  
Day Of The Week

Market anomalies appears on all forms of efficient markets, both weak form, semi-strong and strongform. But plenty of evidence to link the anomaly with semi-strong form efficient market exploited togenerate abnormal returns. Market anomalies that is often discussed is the Day of the Week Effect,January Effect, Week Four Effect and other market anomalies. Empirical research is intended todetermine whether there is the phenomenon of the day of the week effect, week four effect, the effectrogalsky and January effect on LQ 45 stocks in the Indonesia Stock Exchange year period 2014-2015.Based on the analysis of data, shows that there is the phenomenon of the day of week effect on thecompany LQ-45 in Indonesia Stock Exchange 2014-2015 period, there is the phenomenon of weekfour effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period, there are phenomenonRogalski Effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period and there is no Januaryeffect phenomenon in the LQ-45 in Indonesia Stock Exchange 2014-2015 period.Keywords: the day of the week effect, week four effect, rogalsky effect and january effect

M. Meta-Analysis

2021 ◽  
pp. 163-165
Author(s):  
Noémie Laurens
Keyword(s):  
Literature Review ◽  
Empirical Research ◽  
Effect Size ◽  
Meta Analysis ◽  
Research Synthesis ◽  
Effect Sizes ◽  
Primary Research ◽  
Unit Of Analysis ◽  
Research Studies

This chapter illustrates meta-analysis, which is a specific type of literature review, and more precisely a type of research synthesis, alongside traditional narrative reviews. Unlike in primary research, the unit of analysis of a meta-analysis is the results of individual studies. And unlike traditional reviews, meta-analysis only applies to: empirical research studies with quantitative findings hat are conceptually comparable and configured in similar statistical forms. What further distinguishes meta-analysis from other research syntheses is the method of synthesizing the results of studies — i.e. the use of statistics and, in particular, of effect sizes. An effect size represents the degree to which the phenomenon under study exists.

Sex Differences in Assertive Behavior: A Research Extension

1982 ◽  
Vol 51 (3) ◽  
pp. 943-948 ◽  
Author(s):  
David L. Mathison ◽  
Raymond K. Tucker
Keyword(s):  
Sex Differences ◽  
Discriminant Analysis ◽  
Empirical Research ◽  
Behavior Therapy ◽  
High Status ◽  
Significant Tendency ◽  
Assertive Behavior ◽  
Males And Females

This study was an extension of earlier empirical research measuring sex differences in assertive behavior. The Rathus Assertiveness Schedule was used for measuring assertiveness and discriminant analysis was employed to differentiate maximally responses of males and females. 140 men and 195 women were tested. There were four significant findings. Men reported a significant tendency to assert themselves more than women in public situations while women reported a tendency to be more assertive in private interpersonal settings. Men reported a significantly greater tendency than women to be shy in dating situations. Finally, men reported a greater willingness than women to question publicly a person of high status. The implications of these results were discussed both in terms of earlier research and as they apply to behavior therapy.

The Effects of Statistical Analysis Software and Calculators on Statistics Achievement

2009 ◽  
Vol 7 (4) ◽  
pp. 445-449 ◽  
Author(s):  
Edwin P. Christmann
Keyword(s):  
Statistical Analysis ◽  
Analysis Of Variance ◽  
Effect Size ◽  
Analysis Software ◽  
Comprehensive University ◽  
Significant Interaction Effect ◽  
Significant Difference ◽  
Univariate Statistics ◽  
Males And Females ◽  
Statistical Analysis Software

This study compared the effects of microcomputer-based statistical software and hand-held calculators on the statistics achievement of university males and females. The subjects, 73 graduate students enrolled in univariate statistics classes at a public comprehensive university, were randomly assigned to groups that used either microcomputer-based statistics software or hand-held calculators in performing their statistical calculations. The effects of the independent variables of microcomputer-based statistics software and hand-held calculators on the dependent variable of statistics achievement were analyzed with a two-way analysis of variance that revealed no significant difference on the basis of gender (p = 0.622). However, the two-way analysis of variance revealed a significant difference between the achievement of students who used the microcomputer-based statistics software and those who used hand-held calculators (p = 0.024), with those students who used microcomputer-based statistical analysis software scoring higher. Additionally, a significant interaction effect was disclosed (p = 0.027), with an effect size of 0.621, indicating that, on average, those males who used microcomputers outperformed 73% of the females who used microcomputers in performing their statistical calculations; while the females who used hand-held calculators outperformed 71% of the male users of calculators, on the basis of an effect size calculation of 0.545.

Weekly variation in work-output of pluckers in tea gardens in northern West Bengal

1988 ◽  
Vol 20 (4) ◽  
pp. 485-488 ◽  
Author(s):  
Subrata K. Roy ◽  
Partha P. Majumder
Keyword(s):  
West Bengal ◽  
Cumulative Effect ◽  
Work Output ◽  
Daily Work ◽  
Significant Difference ◽  
Day Of The Week ◽  
Males And Females

SummaryData on daily work-output (kg of leaves plucked) of Oraon pluckers in tea gardens of Jalpaiguri district, West Bengal, India, are analysed. While on any particular day of the week there is no significant difference in work-output of males and females, there is a significant between-day variation in work-output for both sexes. Mean work-output steadily decreases as the week progresses, perhaps due to the cumulative effect of fatigue.

How E-Daters Behave Online

2009 ◽  
pp. 292-313 ◽  
Author(s):  
Celia Romm-Livermore ◽  
Toni Somers
Keyword(s):  
Empirical Research ◽  
Theory Development ◽  
Development Model ◽  
Review Of The Literature ◽  
Male And Female ◽  
Males And Females

Following a review of the literature on e-dating, this chapter introduces the e-dating development model and discusses a number of hypotheses that can be derived from it. Also presented in the chapter are some findings from a preliminary empirical research that explored the hypotheses. The findings supported all the hypotheses, indicating that: (1) male and female e-daters follow different stages in their e-dating evolvement; (2) the behaviors that males and females exhibit as e-daters are different; and (3) the feedback that male and female e-daters receive from the environment is different too. The chapter is concluded with a discussion of the implications from this research to e-dating theory development and empirical research.

How E-Daters Behave Online

2011 ◽  
pp. 236-256
Author(s):  
Celia Romm-Livermore ◽  
Toni M. Somers ◽  
Kristina Setzekorn ◽  
Ashley Lynn-Grace King
Keyword(s):  
Empirical Research ◽  
Theory Development ◽  
Development Model ◽  
Review Of The Literature ◽  
Male And Female ◽  
Males And Females

Following a review of the literature on e-dating, this chapter introduces the e-dating development model and discusses a number of hypotheses that can be derived from it. Also presented in the chapter are some findings from a preliminary empirical research that explored the hypotheses. The findings supported all the hypotheses, indicating that: (1) male and female e-daters follow different stages in their e-dating evolvement; (2) the behaviors that males and females exhibit as e-daters are different; and (3) the feedback that male and female e-daters receive from the environment is different too. The chapter is concluded with a discussion of the implications from this research to e-dating theory development and empirical research.

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