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Leadership Restoration Scales

Measures of  Forgiveness and Restoration Scale names: Leadership Restoration Scales            Leadership Restoration Scale: Forgive and Restore (LRSF)            Leadership Restoration Scale: Restoration (LRSR)   Scales overview Two short scales measure two dimensions of congregants views on restoring a religious leader to ministry. One scale includes forgiveness (LRSF) and a second scale focuses exclusively on degrees of restoration without mentioning forgiveness (LRSR). Author(s) Sutton and Jordan (2013). Items The LRSF is a 3-item scale of forgiveness and restoration The LRSR is a 6-item scale of restoration Response Type A 7-point rating scale with anchors 1 = Very Strongly Agree and 7 = Very Strongly Disagree. See example below. Sample items The full scales can be found in Sutton and Jordan (2013) or can be downloaded here- see availability below. LRSF Scale 2. The victim or victims offended by the person need to forgive the person before the perso

Clergy Situational Restoration Inventory (CSRI)

  Scale name: Clergy Situational Restoration Inventory (CSRI) Scale overview The Clergy Situational Restoration Inventory evaluates participants’ attitudes toward restoration based on participant responses to 10 transgression scenarios in which a pastor violated a common sociomoral expectation (Sutton et al. 2007; Sutton & Thomas 2004). The scale uses descriptive Likert-type ratings that range from one (no restoration to ministry) to seven (full restoration to the position previously held). The transgression scenarios include problems of substance abuse, infidelity, and embezzlement. Because of the range of common yet hypothetical scenarios, the developers expected the CSRI to assess a disposition to restore. Author(s) Sutton and Jordan (2013) with previous versions used in Sutton et al. (2007), Sutton & Thomas (2004, 2005). Items  10- items, which are short scenarios Response Type A 7-point rating scale with anchors 1 = No Restoration and 7 = Full restoration.

Continuous variables in behavioral research

  Continuous variable . A variable having a wide range of numerical values, such as intelligence, achievement, and personality variables. Example : Scores on a Big Five test of personality are often reported as T-Scores for each of the five scales. Most people obtain scores in the range of 40 to 60 but it is possible to obtain lower and higher scores. The point of the example is that the scores are continuous and cover a wide range.  Researchers can group people based on their scores using groups labels like "high" and "low" perhaps by deciding that the median would be the score to separate high and low scores. Changing the continuous variable results in the formation of a grouping variable or categorical variable. Example 2 : Age is a continuous variable beginning at birth and continuing to death. Researchers can group people by age and create a grouping or categorical value. Learn More about variables in Creating Surveys on  AMAZON  or  GOOGLE Please check out m

Confounding variables in behavioral research

  A Confounding variable  is a variable that produces unexpected changes in the dependent variable and therefore interferes with interpreting the capacity of an independent variable   to produce or explain changes in a dependent variable . Example : During a study of anxiety that includes measures of anxiety and stress, some participants watch a documentary about the treatment of anxiety and some do not. Documentary-watching may confound the results if watching the program influenced the scores on the measures of anxiety and stress. Similarly, some participants may be exposed to a source of stress in their environment but others are not, which could interfere with interpreting the results. Learn More about research methods and variables in Creating Surveys on  AMAZON  or  GOOGLE Please check out my website     www.suttong.com    and see my books on    AMAZON         or   GOOGLE STORE Also, consider connecting with me on     FACEBOOK     Geoff W. Sutton         TWITTER    @Geoff.

Concurrent validity in testing

  Concurrent validity is a  method of test score validity based on the correlation of two sets of scores obtained at the same time. Example: A clinician creates a test of anger and hands the test to patients for completion. High scores represent high levels of anger. A different clinician rates the level of anger in the same patients based on interviews and rates the level on a scale of 1-10. Each patient has two sets of anger scores. A researcher can calculate the correlation between the test and the ratings. If the correlation is moderately high and not likely due to chance, then there is evidence for concurrent validity when using the new test under similar situations. Applied Statistics Concepts for Counselors on    AMAZON  or   GOOGLE Please check out my website     www.suttong.com    and see my books on    AMAZON        or   GOOGLE STORE Also, consider connecting with me on    FACEBOOK     Geoff W. Sutton          TWITTER    @Geoff.W.Sutton       You can read many published arti

Categorical or Grouping variable in Behavioral Research

  Categorical variables are those variables having two or more groups or levels such as sex, ethnicity, and religious group.  They may be called independent variables even though they are not true independent variables under experimental control. Categorical variables, also called grouping variables,  can be created from continuous variables . For example, researchers often obtain the age of their study participants. Age is a continuous variable but sometimes, researchers group ages together and compare how people of different age groups answer questions on a survey. Learn More in Creating Surveys on  AMAZON  or  GOOGLE Please check out my website     www.suttong.com    and see my books on    AMAZON         or   GOOGLE STORE Also, consider connecting with me on     FACEBOOK     Geoff W. Sutton         TWITTER    @Geoff.W.Sutton     You can read many published articles at no charge:   Academia    Geoff W Sutton       ResearchGate    Geoffrey W Sutton  

Alpha in Research & Statistics

  In research, alpha is  the probability of rejecting a true null hypothesis.  In testing, alpha also refers to a measure of internal consistency—see Cronbach’s coefficient alpha. Alpha waves are brain waves that can be measured on an electroencephalogram (EEG). Alpha waves are associated with daydreaming, meditating, and mindfulness. Applied Statistics Concepts for Counselors on    AMAZON  or   GOOGLE Please check out my website     www.suttong.com    and see my books on    AMAZON        or  GOOGLE STORE Also, consider connecting with me on    FACEBOOK     Geoff W. Sutton         TWITTER    @Geoff.W.Sutton     You can read many published articles at no charge:   Academia    Geoff W Sutton      ResearchGate    Geoffrey W Sutton   Please check out my website     www.suttong.com    and see my books on    AMAZON        or  GOOGLE STORE Also, consider connecting with me on    FACEBOOK     Geoff W. Sutton         TWITTER    @Geoff.W.Sutton     You can read many published artic