Factors related to students spiritual orientations

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The Christian Life Survey 2014-2015 Administration at 22 Christian Colleges tucse.taylor.edu Factors related to students spiritual orientations Introduction The Christian Life Survey (CLS) uses a set of questions on spiritual practices to identify students spiritual orientations the ways they live out their spiritual lives. Through six years of refinement the survey has identified four broad approaches to the Christian life: connectedness, reflection, outreach, and asceticism. ness refers to being plugged into church, fellowship, and so forth; reflection refers to being reflective about prayer, Scripture, and other aspects of the Christian life; outreach refers to other-focused activities; and asceticism refers to an orientation toward self-denial and self-discipline. All of the specific survey questions used in each index are shown in following sections of this report (the collections of variables were identified using exploratory principle axis factor analysis with varimax rotation). The refinement process has created stable sets of measures to identify connectedness, reflection, and outreach, but the measures of asceticism are less certain. Also, outreach has two different forms: outreach service acting to help those in need of physical and social help and outreach evangelism acting to help those in need of salvation. The 6,000-plus students studied here (see Box One) have high average levels of reflective orientation and connected orientation but lower average levels of outreach (in either form). Each orientation index is constructed of a set of questions that asked how often the students engaged in particular spiritual activities (see Box Two). The questions were answered on a nine-point scale that ranged from never (1) to each day (9). A value of 7 on this scale means each week and the students overall average on the reflective and connected orientations is just above each week. and outreach evangelism are less common, with means of 6.38 and 5.25, which are between each month (5) and each week (7). Box One: Who are the students in this study? In the 2014-2015 school year, the Christian Life Survey was administered to students at 25 Christian colleges in the United States. The results shown in this summary brief, however, are only for the traditionalage, traditional-program freshmen through seniors from the 22 colleges that provided population proportions that allowed representative weighting to be used. Students are weighted to be proportionately representative for sex and year in school for their colleges. These results are for 6,074 students from 22 Christian colleges in the United States. The students are overwhelmingly Protestant Christians who are serious about their spiritual life (they chose to attend a Christian college and they agreed to participate in a half-hour survey about their spiritual life). The students represented here, then, are traditionalage, devout Christians attending 22 Christian colleges in the USA. Great care should be employed when generalizing these results to any other groups.

Students spiritual orientations: and reflective 25 th percentile Mean 75 th percentile 6.8 7.5168 8.4 6.8 7.3528 8.2 5.4 6.38 7.4 4 5.2545 6.75 The percentage of students who indicate that they are involved in a particular orientation s activities weekly or more is shown in Chart One. Almost three-fourths of the students indicate they practice reflection or connectedness weekly or more often (72 to 73 percent of students). Only 38 percent of students practice outreach service weekly or more, and only 20 percent practice outreach evangelism weekly or more. Chart One also has information about asceticism. In the 2012-2013 data collection (4,000-plus students at 13 Christian colleges), 44 percent of students indicated engaging in ascetic practices weekly or more, and in the 2014-2015 data collection (6,000-plus students at 22 Christian colleges), 60 percent indicated that they engaged in ascetic practices weekly or more. The large difference is due to instability in the grouping of questions found analytically. Asceticism appears to be a valuable orientation to understand, but the methodology used to measure it needs additional work. Another way to consider students spiritual orientations is to create a typology of all possible combinations of orientations in which students might indicate high involvement. Chart Two provides a graphic distribution of the students orientations. The categories are mutually exclusive, so if, for example, a student is in the connected/reflective category, he or she is not also included in the connected or reflective categories. The connected category, for example, is for students who only have high engagement in that one orientation and no others. As was found in the other results presented above, students are more likely to have orientations toward being connected and reflective than to be engaged in either form of outreach. Interestingly, 14 percent of the students do not have a high engagement with any of these orientations. That does not mean they are not oriented in any of these ways, it just means they are not highly oriented in any of them (engaged in any of them weekly or more on average). Box Two: How was this topic measured? Participants were presented with five statements about how reflective they are in their spiritual lives: I reflect on who God is. I reflect on what it means for me to be a Christian. I reflect on the meaning of prayer in my life. I reflect on what is good and right. I reflect on the meaning of Scripture in my life. They were presented with five statements about being connected in their Christian lives: I engage in fellowship with Christians. I attend worship services. I read the Bible. I worship God. I meet with a spiritual small group or spiritual mentor. They were presented with five statements about their outreach through service to others: I serve those in need. I help others who are in difficulty. I help people who are treated unjustly. I serve the people around me. I allow myself to suffer for a worthy cause. And they were presented with four statements about their outreach through evangelism: I talk to non-believers in ways that I think will help them come closer to Christ. I try to evangelize others so they will become Christians. I go out of my way to be in contact with non-believers. I act in specific ways around non-believers so they might come closer to Christ. The survey: The Christian Life Survey (CLS) is an online, half-hour survey on Spiritual Formation, Spiritual Orientation (lifestyle), and Scripture Engagement and was conducted in the 2014-2015 school year at the following Christian colleges: Bethel; Biola; California Baptist; Charleston Southern; Corban; Cornerstone; Crown; Fresno Pacific; George Fox; Gordon; Houghton; Judson; The Kings; LeTourneau; Northwest Nazarene; Nyack; Patrick Henry College; Spring Arbor; Tabor; Taylor; Union; Wheaton.

//Service/Evangelism //Service //Evangelism /Service/Evangelism /Service/Evangelism / /Service /Evangelism /Service /Evangelism Service/Evangelism Service Evangelism none Chart One: Percent whose average answer is weekly or more Asceticism 2013 43.9 Asceticism 2015 59.5 20.4 37.9 72.6 72.3 0 10 20 30 40 50 60 70 80 Chart Two: Typology of students orientations (percents; categories are mutually exclusive) 30 25 26.4 20 15 13.9 16.4 14 10 9 7.6 5 0 4.1 0.5 0.9 1.6 0.4 2.9 0.4 0.1 1.6 0.2

Students spiritual orientations: Two groups of mutually supportive orientations The Christian Life Survey identified a set of different spiritual orientations in the students lives but these orientations tend to gather into two groups of orientations, and the orientations in each group mutually reinforce each other. As is shown in Chart Three, the different aspects of spiritual life measured in the CLS are very interrelated. But a more in-depth analysis (shown in Chart Four) finds that there are two groups of orientations that are mutually supportive that are also related with the three foci of spiritual life measured in the CLS. One group includes the connected and reflective orientations and also includes a focus on the Bible and a focus on God. The other group includes both outreach orientations as well as a focus on others. Both being reflective and engaging in evangelism are clearly in one group more than the other, but each does have some role in both groups of spiritual attributes..600.505.470.600.434.453 Outreach service Outreach evangelism.505.434.584.470.453.584 Chart Four: Factor loadings for spiritual orientations and spiritual foci (principle axis factor analysis with varimax rotation) Rotated Factor Matrix Factor 1 2.723.265.705.294.672.391.602.144.186.945.392.555.288.518

Students spiritual orientations: Factors that affect reflectiveness Demographic effects: Only two demographic variables affect students adoption of a reflective spiritual orientation: family income and political view. Both have very small effects. (See Chart Five.) Relation to other aspects of spiritual life: As was shown in Charts Three and Four, being spiritually reflective is particularly related to being spiritually connected and having a focus on the Bible. This is demonstrated in Chart Six as well. Net effects: which aspects of spiritual life are most related to being reflective? Chart Seven shows the net effects each aspect of spiritual life has on being reflective, after statistically controlling for the others. The factors that are most likely to promote a reflective orientation are being connected, engaging in service, having a greater focus on the Bible, and having a greater focus on God. (Full GLM results are in the appendix.) Participants were presented five statements about how reflective they are in their spiritual life: I reflect on who God is. I reflect on what it means for me to be a Christian. I reflect on the meaning of prayer in my life. I reflect on what is good and right. I reflect on the meaning of scripture in my life. Chart Five: spiritual orientation relation to demographics (η 2 values; all results are statistically significant) Income Political view 0.02 0.02 Chart Six: spiritual orientation relation to spiritual life variables (r 2 values; all results are statistically significant) 0.36 0.31 0.22 0.20 0.26 0.12 Chart Seven: Net effects on being reflective (GLM partial η 2 values; all results are statistically significant) 0.007 0.002 0.036 0.049 0.065 0.081 Increases reflective orientation Increases reflective orientation Increases reflective orientation Increases reflective orientation Increases reflective orientation No effect on reflective orientation 0 0.05 0.1 0.15 0.2 0.25 0.3

Students spiritual orientations: Factors that affect connectedness Demographic effects: Several demographic variables have a small but significant effect on adoption of a connected spiritual orientation, as is shown in Chart Eight. Political view has the only notable effect. It explains six percent of the variation in adoption of a connected orientation as students are more conservative they are a bit more likely to be connected. The other demographic effects are so small as to not matter. Participants were asked five questions about being connected in their Christian life: I engage in fellowship with Christians. I attend worship services. I read the Bible. I worship God. I meet with a spiritual small group or spiritual mentor. Chart Eight: spiritual orientation relation to demographics (η 2 values; all results are statistically significant) Relation to other aspects of spiritual life: As was shown in Charts Three and Four, being spiritually connected is particularly related to being spiritually reflective and having a greater focus on the Bible. This is demonstrated in Chart Nine as well. Political view Race Dad's education 0.02 0.02 0.06 Net effects: which aspects of spiritual life are most related to being connected? Chart Ten shows the net effects each aspect of spiritual life has on adopting a connected orientation, after statistically controlling for the others. Interestingly, a focus on God proves to have the most influence in the net effects model. If a person desires to increase his or her connectedness, increasing his or her focus on God is the single most likely complement to that goal. Mom's education 0.01 Chart Nine: spiritual orientation relation to spiritual life variables (r 2 values; all results are statistically significant) A connected orientation is also influenced notably by a reflective orientation and a focus on the Bible. (Full GLM results are in the appendix.) 0.22 0.33 0.36 0.21 0.19 0.08 Chart Ten: Net effects on being connected (GLM partial η 2 values; all results are statistically significant) 0.093 Increases connected orientation 0.081 Increases connected orientation 0.068 Increases connected orientation 0.026 0.025 Decreases connected orientation Increases connected orientation 0.018 Increases connected orientation 0 0.05 0.1 0.15 0.2 0.25 0.3

Students spiritual orientations: Factors that affect outreach service Demographic effects: None of the demographic variables predicted differing amounts of outreach service. Whatever factors affect the adoption of a lifestyle of service, they do not include political view, major, income, education of parents, race, sex, year in school, or GPA. Participants were asked five questions about their outreach through service to others: I serve those in need. I help others who are in difficulty. I help people who are treated unjustly. I serve the people around me. I allow myself to suffer for a worthy cause. Relation to other aspects of spiritual life: As was shown in Charts Three and Four, being spiritually oriented to outreach through service is particularly correlated to being spiritually oriented toward outreach evangelism and a focus on others. This is demonstrated in Chart Eleven as well. Net effects: which aspects of spiritual life are most related to engaging in outreach service? For outreach service, the net effects after statistical controls match the correlative results. Increasing service is best accomplished by increasing a focus on others, evangelism, and a reflective spiritual orientation. (Full GLM results are in the appendix.) Chart Eleven: spiritual orientation relation to spiritual life variables (r 2 values; all results are statistically significant) 0.19 0.26 0.31 0.34 0.12 0.06 Chart Twelve: Net effects on outreach service (GLM partial η 2 values; all results are statistically significant) 0.184 Increases outreach service orientation 0.099 Increases outreach service orientation 0.065 Increases outreach service orientation 0.026 Decreases outreach service orientation 0.018 Increases outreach service orientation 0.014 Increases outreach service orientation 0 0.05 0.1 0.15 0.2 0.25 0.3

Students spiritual orientations: Factors that affect outreach evangelism Participants were presented with four statements about their outreach through evangelism: I talk to non-believers in ways that I think will help them come closer to Christ. I try to evangelize others so they will become Christians. I go out of my way to be in contact with non-believers. I act in specific ways around non-believers so they might come closer to Christ. Demographic effects: Only two demographic variables affect students engagement in evangelism. Both effects (from political view and major) are very small. (See Chart Thirteen.) Relation to other aspects of spiritual life: As was shown in Charts Three and Four, being spiritually oriented to outreach through evangelism is particularly correlated to being spiritually oriented toward outreach service. Evangelism is also moderately correlated with almost all other aspects of spiritual life as is shown in Chart Fourteen as well. Chart Thirteen: spiritual orientation relation to demographics (η 2 values; all results are statistically significant) Political view Major 0.02 0.01 Chart Fourteen: spiritual orientation relation to spiritual life variables (r 2 values; all results are statistically significant) Net effects: which aspects of spiritual life are most related to engaging in outreach evangelism? Chart Fourteen shows the net effects each aspect of spiritual life has on evangelism after statistically controlling for the others. The factor that is most likely to promote an engagement with evangelism is outreach service. (Full GLM results are in the appendix.) 0.22 0.21 0.21 0.34 0.19 0.07 Chart Fifteen: Net effects on outreach service (GLM partial η 2 values; all results are statistically significant) 0 0.009 0.007 0.031 0.025 0.099 Increases outreach evangelism orientation Increases outreach evangelism orientation Increases outreach evangelism orientation Increases outreach evangelism orientation Increases outreach evangelism orientation No effect on outreach evangelism orientation 0 0.05 0.1 0.15 0.2 0.25 0.3

APPENDIX General linear model results for a reflective spiritual orientation Dependent variable: Parameter Estimates Parameter B Std. Error t Sig. 95% Confidence Interval Partial Eta Squared Lower Upper Intercept.513.112 4.596.000.294.732.003.301.012 24.911.000.277.325.081.217.010 22.140.000.198.236.065.352.018 19.185.000.316.388.049.454.028 16.203.000.400.509.036.053.007 7.153.000.039.068.007 -.083.023-3.679.000 -.127 -.039.002 General linear model results for a connected spiritual orientation Dependent variable: Parameter Estimates Parameter B Std. Error t Sig. 95% Confidence Interval Partial Eta Squared Lower Upper Intercept.427.105 4.059.000.221.634.002.692.026 26.970.000.642.742.093.268.011 24.911.000.247.289.081.391.017 22.787.000.357.424.068 -.287.021-13.660.000 -.328 -.245.026.094.007 13.418.000.080.107.025.108.009 11.401.000.089.127.018

General linear model results for an outreach service spiritual orientation Dependent variable: Parameter Estimates Parameter B Std. Error t Sig. 95% Confidence Interval Partial Eta Squared Lower Upper Intercept 1.088.130 8.353.000.833 1.344.010.954.024 40.026.000.908 1.001.184.232.008 27.893.000.216.249.099.298.013 22.140.000.272.324.065 -.452.033-13.703.000 -.517 -.388.026.167.015 11.401.000.138.195.018 -.218.022-9.959.000 -.261 -.175.014 General linear model results for an outreach evangelism spiritual orientation Dependent variable: Parameter Estimates Parameter B Std. Error t Sig. 95% Confidence Interval Partial Eta Squared Lower Upper Intercept -3.159.173-18.243.000-3.499-2.820.045.426.015 27.893.000.396.455.099.446.029 15.170.000.388.503.031.265.020 13.418.000.226.303.025.288.036 8.114.000.219.358.009.134.019 7.153.000.097.171.007 -.004.045 -.093.926 -.093.085.000