Assessment, Statistics, and Research

  Scale name : Enneagram [Riso-Hudson Enneagram Type Indicator [ RHETI ® ] Scale overview: There is more than one version of the Enneagram, which purports to measure how an individual’s personality fits with nine types. The version referred to in this post is the  RHETI ® —see above for the full name. A study by Newgent et al. (2004) used the 144-item forced choice format. Authors: Don Richard Riso and Russ Hudson Response Type: Forced-choice format Subscales: There are nine types referred to by number and a label: 1 Reformer- principled, idealistic 2 Helper- caring, interpersonal 3 Achiever- adaptable, success-oriented 4. Individualist- romantic, introspective 5 Investigator- intense, cerebral 6 Loyalist- committed, security-oriented 7 Enthusiast- busy, productive 8 Challenger- powerful, dominating 9 Peacemaker- easy-going, self-effacing More detailed descriptions can be found at The Enneagram Institute Sample item: (Newgent, et al., 2004, p. 228)

Variance is a measure of the dispersion of values in a distribution of values.  In psychology and behavioral science statistics, the variance is typically a reference to the extent to which numerical values vary around the arithmetic mean of a data set. Theoretically, the values vary around a population mean but in most cases, researchers work with samples. In statistics, write sigma squared for the population variance σ 2 Write final form sigma squared for the sample variance  ς2 In reports, write VAR for variance. How it works If we have a set of different numerical values such as scores on a test we can calculate a mean, which is the average of all the scores divided by the number of scores. The difference of one score from the mean is a deviation score. X is a score and the Greek letter mu μ is the symbol for the population mean. In a sample, which is what we normally have in psychology, we subtract a score X from the sample mean M . Thus, X - M = the deviation score.  If a perso

  Factor analysis (FA)  is a statistical method of reducing a large set of data to a smaller set by identifying patterns in the data that have common characteristics. Factor analysis is sometimes called data reduction or dimension reduction. The original numerical values in the data set are observed variables (also called manifest variables)  such as the items in a large survey or test. Factor analysis may find patterns characterized by a shared statistical relationship representing a factor, which is also called a dimension . A researcher examines the content of the items linked to this factor and chooses a factor label such as verbal skills for related items on an intelligence test. The factors may be treated as variables in additional research. These are secondary variables. Because they are created from the observed variables, they are considered latent variables. For example, if 5 items on a personality test are associated with one factor labeled "agreeableness" then agr

  Scale name: Perceived Conflict between Evolution and Religion (PCoRE) Scale overview: Authors: M. Elizabeth Barnes, K. Supriya, Yi Zheng, Julie A. Roberts, and Sara E. Brownell Response Type: Participants rate each item on a 5-point Likert-type scale from strongly disagree to strongly agree.   Subscales with a sample item: There are four subscales as follows:   1. Perceived conflict between evolution and belief in God My belief in God makes it harder to believe that all of life on Earth evolved from ancient microscopic life.   2 . Perceived conflict between evolution and religious teachings The teachings of my religion contradict that all of life on Earth evolved from ancient microscopic life.   3 . Perceived conflict with evolution among religious community My religious community does not believe that all of life on Earth evolved from ancient microscopic life.   4. Perceived conflict between evolution and religious beliefs My personal religious belief

  A z -score tells you the distance of the score from the arithmetic mean of a set of scores that are normally distributed. The z -score represents standard deviation units thus, a z -score of 1 means it is one standard deviation above the mean of the set of scores. A z -score of minus one (-1) means the score is one standard deviation below the mean of the set of scores. The z -scores are often plotted along the x -axis of  a normal distribution, which is sometimes called the bell curve. Use lower case italics when reporting z -scores in APA style. The upper case Z is a different score. You can calculate a  z -score by subtracting a raw score from the mean and dividing by the standard deviation of the set of scores. Example: A raw score on a test = 60. If the mean = 50 and the standard deviation = 10 then (60-50) = 10 and 10 divided by 10 = 1.0. The z score is 1.0, it is one standard deviation above the mean. Most z - scores fall between -3.0 and +3.0 but it is possible to have scor

  Graphic from  Pewresearch 2021 Pew Researchers have a great deal of experience in asking people questions. Formulating a good question for a survey is an important place to begin. However, another lesson from Pew is the additional data they gather. I noticed a large graphic illustrating how people in different groups answered one question. When conducting survey research it is critical to consider what we need to know about the people responding to a question or item to understand the meaning of their response. Consider Pew's survey item with two choices: "most things in society...      Can be pretty clearly divided into good and evil      Are too complicated to be divided into good and evil The graphic shows how different groups responded and allows for comparisons on the two ways to respond. Later, in the article, they compare political affiliations, which in the US means Republican and Democrat. This is worth studying as well. The article is worth reading to learn more ab

  S cale name: Belief in Good Luck (BIGL) Scale overview: The scale presents 12-items, which are rated based on degree of agreement. The authors wanted to reliably assess irrational beliefs about luck and examine the beliefs in relationship to expectations of success. Early psychometric properties support the scale as a useful assessment of luck. Authors: Peter R. Darke and Jonathan L. Freedman   Response Type: 4-point agree-disagree scale Subscales: None Sample items b) Some people are consistently lucky, and others are unlucky. o) Luck is nothing more than random chance. (reverse scored) Reliability: Factor analysis yielded one factor. Items were selected from the original list based on factor loadings. Alpha   values were .85 in studies 1 and 3; .78 in study 2. Validity: The article includes correlation values with other measures. Total BIGL score was significantly positively correlated with the chance subscale of the Locus of Control scale. Availability: