Abstract
Objectives:
To describe the development and initial psychometric properties of the observer-rated Global Therapist Competence Scale for Youth Psychosocial Treatment (G-COMP) in the context of cognitive-behavioral treatment (CBT) for youth anxiety disorders.
Method:
Independent coders rated 744 sessions from a sample of 68 youth (M age = 10.56 years) using the G-COMP and observational instruments of alliance, involvement, CBT adherence, CBT competence.
Results:
Inter-rater reliability coefficients (ICCs [2,2]) were greater than .60 for the five G-COMP domain scores. G-COMP scores yielded small to medium correlations with instruments of the child-therapist alliance (rs = .17 - .44) and youth involvement in treatment (rs = .08 - .53), and medium to large correlations with instruments of CBT competence and adherence (rs = .26 - .63). Therapists in the research setting were rated higher compared to newly trained therapists in community clinics.
Conclusions:
Preliminary reliability and validity of the G-COMP scores are promising, but future research is needed with non-CBT samples.
Healthcare in the US is in an era of accountability, an emphasis with direct implications for mental health services. Stakeholders invested in the outcomes of mental health services are demanding that delivery of psychosocial treatments (hereafter called treatment) meet certain criteria, especially related to service quality (e.g., Institute of Medicine, 2015). The emphasis on quality has arisen, in part, as a response to the increasing focus on accountability and the central role of competency in the education and practice of psychology (e.g., American Psychological Association [APA], 2015). The goal is to improve the quality of mental health care by improving training and practice guidelines related to the delivery of treatments.
Therapist competence represents one important aspect of service quality. Efforts to define the competencies associated with the delivery of treatments have been divided into two broad categories (Barber, Sharpless, Klostermann, & McCarthy, 2007). The first, technical competence, focuses on competence in delivering particular therapeutic interventions found in specific treatment models or programs (also called model-specific and limited domain competence; Barber et al., 2007). Examples of instruments for measuring technical competence include ones for adult cognitive-behavioral treatment (CBT) for depression (Vallis, Shaw, & Dobson, 1986) and anxiety (Boswell et al., 2013) and family treatment and CBT for adolescent substance use (Hogue, et al., 2008). The second category focuses on competencies associated with general therapeutic skills, called variously common-factors (e.g., Castonguay, 1993), foundational (Rodolfa et al., 2005; Spruill et al., 2004) and global (Barber et al., 2007) competence that are believed to apply across treatment models.
To date, studies examining the relation between competence and treatment outcome have found mixed findings (Barber et al., 2006; Hogue et al., 2008). It is possible that the mixed findings are due, in part, to inadequate measurement of competence (e.g., low interrater reliability) or the use of highly trained therapists in controlled trials restricting the range of competency (Hogue et al., 2008). There are few tools specifically designed to assess these competencies in youth treatment (see Fjermestad, McLeod, Tully, & Liber, 2016). Of the four instruments designed to assess technical therapist competence in youth treatment (Forgatch, Patterson, & Degarmo, 2005; Gutermann et al., 2014; Hogue et al., 2008; Stallard, Myles, & Branson, 2014), only three of these contain items that tap into global competence (Forgatch et al., 2005; Gutermann et al., 2014; Stallard et al., 2014). Scores on three of the observational instruments have demonstrated wide variability in inter-rater item reliability (Kappa > .69; Forgatch et al., 2005; ICCs range from .01 to .87; Gutermann et al., 2014; Hogue et al., 2008). Studies have often found high correlations between items assessing technical and global competence (e.g., rs = .79 - .91, Stallard et al., 2014) calling into question whether these represent distinct facets of competence or an artifact of using the same coders to rate both sets of items (i.e., halo effects). Thus, key to establishing the score validity of a global competence instrument is to demonstrate that it is distinct from technical competence.
Our study contributes to the literature by reporting on our effort to develop and distinguish an instrument that assesses a therapist’s global competence. As a first step, we developed a stand-alone global competence instrument, the Global Therapist Competence Scale for Youth Psychosocial Treatment (G-COMP), and assessed its discriminant validity from other aspects of the treatment process. In this paper, we report our initial psychometric findings, including a description of the development of the G-COMP and an examination of the psychometric properties of the G-COMP domain scores using two samples of youth diagnosed with a principal anxiety disorder and receiving individual CBT (ICBT), one sample treated in a clinical research setting, the other treated in community settings. This effort to establish the representative validity of a global competence instrument may help downstream efforts to develop training and practice guidelines for youth therapists.
Method
Instrument Development
Scale development.
We began with the five competence domains and set out to identify empirically-supported therapist behaviors which led to the formation of each conceptual domain. Based on literature review we identified five domains that became G-COMP scales. Table 1 provides a summary of the most prominent efforts to identify global domains, beginning with Frank (1971) and including the work of the APA’s Division 29 Task Force on Empirically Supported Relationships (Norcross, 2002, 2011) and APA’s Division 12 Task Force on Empirically Based Principles of Therapeutic Change (Castonguay & Beutler, 2006). We began by sorting the individual elements from our review that lend themselves to observation into conceptually similar categories: (a) Alliance-building, (b) Facilitating positive expectations, (c) Instigating change, (d) Focusing treatment, and (e) Responsiveness.
Table 1.
Synthesis of theories for the Global Therapist Competence Scale for Youth Psychosocial Treatment.
| G-COMP factors | Frank (1971) | Orlinsky & Howard (1987) | Grencavage & Norcross (1990) | Norcross (2002, 2011) | Castonguay & Beutler (2006) |
|---|---|---|---|---|---|
| Alliance Building | □ Emotionally charged, confiding relationship | □Therapeutic bond | □ Beneficial therapist qualities | □ Congruence/ genuineness | □ Congruence/ |
| □Therapeutic openness- involvement | □ Therapeutic Environment | □ Repair of the alliance rupture | □ Authenticity | ||
| □ Positive regard | □ Address alliance ruptures with empathy | ||||
| □Therapeutic contract | □ Empathy/conveys understanding | ||||
| □ Caring, warmth, acceptanc | |||||
| □ Self-disclosure | □ Empathy | ||||
| □ Goal consensus/ collaboration | □ Collaboration | ||||
| □ Eliciting client feedback | |||||
| Positive Expectations | □ Strengthening the client’s expectation of help | □ Client’s positive expectations | □ Expectations and preference | ||
| □ Provision of rationale as a change process | |||||
| □ Ensuring successful experiences | |||||
| □ Therapeutic rationale accepted by client/therapist | |||||
| Focusing treatment | □ Structured, focused treatment | ||||
| Instigating change | □ Provision of new information via | □Therapeutic interventions | □Opportunity for catharsis | □ Feedback | □ Facilitated self-exploration |
| □Therapeutic realizations | □Acquisition/ practice of new behaviors | □ Quality of relational interpretations | □ Addressing intrapersonal aspects | ||
| ■ Self discovery | |||||
| ■ Instruction | □ Self-disclosure | □ Address interpersonal aspects | |||
| ■ Examples | |||||
| □ Facilitation of emotional arousal | □ Accurate relational interpretations | ||||
| □ Limited relational interpretations | |||||
| Responsiveness | □ Managing resistance | □ Appropriate responsivenes | |||
| □ Customizing |
Notes: Divisions between factors are used to demonstrate how factors were grouped to form the G-COMP factors.
Alliance describes the emotional bond, collaboration on the tasks of treatment, and consensus on treatment goals (Bordin, 1979). Meta-analyses show that the alliance accounts for a significant portion of the variance in outcome, with mean correlations of .14 - .22 for youth (McLeod, 2011; Shirk, Karver, & Brown, 2011) and .28 for adults (e.g., Horvath, Del Re, Fluckiger, & Symonds, 2011). Alliance-building behaviors that significantly predict treatment outcome that were included in the scoring manual include demonstrating positive regard (r = .27; Farber & Doolin, 2011), empathy (r = .31; Elliott, Bohart, Watson, & Greenberg, 2011), goal consensus (r = .34), and collaboration (r = .33; Tryon & Winograd, 2011).
Client expectations regarding their role and potential outcome of treatment was identified as a promising (Norcross, 2011) and probably efficacious aspect of the therapeutic relationship (Norcross, 2002). A meta-analysis has shown a weighted correlation of r = .12 for treatment outcome expectancies and outcome in adult studies (Constantino, Arnkoff, Glass, Ametrano, and Smith, 2011). Within the youth literature, parent pre-treatment expectancies have been shown to predict treatment attendance and engagement (Nock, Ferriter, & Holmberg, 2007; Nock & Kazdin, 2001). There is further evidence that therapist behaviors including psychoeducation, assessing and discussing the client’s beliefs about treatment, addressing skepticism, and activating beliefs that the client is being helped can change client treatment expectations (Arnkoff, Glass, & Shapiro, 2002; Swift & Callahan, 2011).
Instigating change encompasses therapist activities directed at initiating change processes; what Orlinsky and Howard (1987) referred to as “the official ‘business’ of seeking and giving help” (p.8) by facilitating the client’s self-exploration and learning about the presenting problem and the development of skills to alleviate those problems (e.g. interpersonal skills, self-awareness). We defined instigating change as the therapist’s ability to focus the client’s attention upon interpersonal and/or intrapersonal psychological processes and facilitate new ways of thinking, acting, or behaving towards him/herself and others. Examples of therapist behaviors that were included in the manual to reflect instigating change include providing feedback (Claiborn, Goodyear, & Horner, 2002), self-disclosure (Hill & Knox, 2002), accurate relational interpretations (Crits-Christoph & Connolly Gibbons, 2002)1, and those identified by the Task Force for Empirically Based Principles of Therapeutic Change including addressing interpersonal issues, modification of behavioral, emotional, or physiological responses, facilitating self-exploration, and facilitating emotion regulation (Castonguay & Beutler, 2006).
Focusing treatment represents the therapist’s ability to make efficient use of time during a session and concentrate on key themes (Follette & Greenberg, 2006; Woody & Ollendick, 2006). The Task Force on Empirically Based Principles of Therapeutic Change (Castonguay & Beutler, 2006) concluded that therapists who provide structured treatment focused on their interventions of choice are more likely to affect positive change. Research suggests that the consistent use of interventions belonging to a single approach may be more important than the specific approach itself (Luborsky, McLellan, Woody, O’Brian, & Auerbach, 1985). For the G-COMP, we included the structure and pacing of the session, continuity of themes across sessions, and focusing on key themes as indicators of focusing treatment (Woody & Ollendick, 2006).
Responsiveness to individual client needs and customization of treatment represents the final proposed global factor. The APA Division 29 Task Force (Norcross, 2002, 2011) emphasized the importance of adapting treatment to individual client needs according to resistance, preferences, culture, and religion/spirituality. We characterized responsiveness as the therapists’ ability to address client motivation, particularly in the face of resistance and other disruptions in the therapeutic relationship, and flexibility in adapting interventions to meet the cultural, developmental, or immediate needs of the client.
Item generation and refinement.
In accord with common psychometric practice, multiple sources were sampled when drafting the items for each scale to establish their preliminary content validity (Clark & Watson, 1995). As there were no existing stand-alone instruments of global competence in the youth literature, we included an instrument of adherence and competence for adolescent substance abuse treatment (TBRS–C, Hogue et al., 2008) as well as instruments from the adult literature (e.g., Cognitive Therapy Adherence and Competence Scale; Barber et al. 2003; Yale Adherence and Competence Scale, Carroll et al., 2000) and modified them for use in youth treatment. The initial review resulted in a large set of items (n = 265) that were categorized into the five G-COMP domains. Given the labor intensive nature of rating treatment sessions, it was not possible to conduct a data-driven approach to item reduction. This initial list was reduced by eliminating items that were (a) redundant, (b) domain-specific, or (c) not easily observable. Three of the study authors (masked for review) independently voted (yes/no) on whether to retain each item. Items with at least two affirmative responses were retained, resulting in a reduced set of items (n = 125).
Next, we invited therapists from a variety of settings and theoretical orientations to participate in an IRB-approved online survey to evaluate content validity of the items via emails sent to universities with clinical child psychology training programs as well as listservs of APA Divisions 12, 17, 29, and 53. Sixty-six participants (39.4% male, 90.9% White, 59.0% licensed, 68.0% PhD, 67.0% primarily child/adolescent therapist) rated each item according to how well the item (a) assessed therapist competence (0 = poor item to 6 = excellent item), and (b) represented all forms of youth treatment (0 = specific to only one approach to 6 = common to all approaches). Items with mean quality and commonality ratings greater than four (greater than the midpoint) were retained for further consideration, resulting in a pool of 44 items. The 44 items were given to therapists who had expertise in a variety of therapeutic models (i.e., five Ph.D. level psychologists including two developers of youth CBT treatment manuals, and three senior faculty with experience providing and supervising psychoanalytic, psychodynamic, and interpersonal therapies) for feedback. The authors reviewed the feedback and made final decisions to retain, combine, or remove items, which reduced the item set from 44 to 24. Two coders piloted the 24-item G-COMP instrument with 16 recordings, which led to the elimination of 5 items due to poor inter-rater reliability assessed with intraclass correlation coefficients (ICC(2,2) < .40). The final version of the G-COMP had 19 items organized into two levels. Level 1 items included five superordinate “macro-level” items representing the five main domains: (a) Alliance-building, (b) Facilitating positive expectations, (c) Instigating change, (d) Focusing treatment, and (e) Responsiveness. Level 2 items include 14 subordinate “micro-level” items that define specific classes of therapist behaviors that contribute to Level 1 domains.
Scoring strategy.
We adopted a scoring strategy used in exemplar competence coding systems used in youth (Hogue et al., 2008) and adult (Carroll et al., 2000) treatment. In making competence ratings, coders are asked to consider the quality of the therapists’ attempts to manage the therapeutic relationship and/or promote change (skillfulness) and their timing and appropriateness for the given client and situation (responsiveness) on a 7-point Likert-type competence scale (1 = very poor; 3 = acceptable; 5 = good; 7 = excellent).
Scoring manual development.
The scoring manual (Brown, McLeod, Southam-Gerow, Bair, & Wheat, 2012) was developed following the exemplar coding manuals from the youth (Hogue et al., 2008) and adult (Carroll et al., 2000) treatment field. For each item, coders were asked to consider the therapist’s expertise in promoting change, clarity of communication, appropriate timing of actions, and ability to assess and adequately respond to the client’s developmental level and current functioning. The manual includes guidance on making ratings when parents or caregivers are present. The manual includes overall and item-specific guidelines for each anchor of the scale, detailed descriptions of each item, examples of behaviors consistent with each item, examples of behaviors that might represent each scaling anchor, and guidance on making distinctions between related items.
Psychometric Evaluation
Data sources and participants.
Participants for the study included 68 youth participants who met diagnostic criteria for a principal anxiety disorder according to DSM-IV criteria (American Psychiatric Association, 1994) from two randomized controlled trials (RCTs) conducted by separate research groups. Recorded treatment sessions were coded and the resulting data were analyzed for this study. Inclusion criteria for the recordings included: (a) a minimum of two audible sessions, and (b) received treatment from a single therapist (see Kendall et al., 2008 and Southam-Gerow et al., 2010 for more details). See Table 2 for descriptive statistics of youth. Multiple Institutional Review Boards approved the study procedures.
Table 2.
Youth Descriptive Data and Comparisons Across Groups.
| Variable | M (SD) or % | F or Chi Squarea | |
| ICBT (N = 51) | YAS-ICBT (N = 17) | ||
| Age | 10.36(1.90) | 11.32(2.32) | 1.72 |
| Sex | |||
| Male | 60.8% | 29.4% | 5.04* |
| Race/Ethnicity | 18.97** | ||
| White | 86.3% | 41.2% | |
| African-American | 9.8% | - | |
| Latino | 2.0% | 17.6% | |
| Mixed/Other | 2.0% | 5.9% | |
| Not Reported | - | 35.3% | |
| CBCL | |||
| Total | 63.18(8.44) | 64.19(7.34) | 0.43 |
| Internalizing | 67.40 (8.37) | 66.38(8.33) | 0.43 |
| Externalizing | 52.96 (10.08) | 60.81 (7.49) | 2.87** |
| Primary Diagnoses | |||
| GAD | 37.3% | 5.9% | |
| SAD | 29.4% | 35.3% | |
| SOP | 33.3% | 23.5% | |
| SP | - | 35.3% | |
| Family Income Up to 60k per year | 35.3% | 70.6% | 7.92** |
| Number of Sessions | 15.92(1.43) | 16.82 (5.02) | 0.73 |
| Weeks in Treatment | 19.52(3.97) | 26.38 (10.41) | 2.65** |
| Adj. M | |||
| G-COMP | ICBT n = 532 | YAS-ICBT n = 212 | tb |
| Alliance building | 4.68 | 4.38 | 6.03** |
| Positive expectancies | 3.97 | 3.42 | 9.69** |
| Focusing treatment | 4.91 | 4.06 | 13.27** |
| Instigating change | 4.70 | 3.76 | 12.87** |
| Responsiveness | 4.50 | 4.10 | 7 19** |
Note. ICBT = individual cognitive-behavioral therapy delivered in Kendall et al. (2008) study; YAS-ICBT = ICBT delivered in Youth Anxiety Study; CBCL = Child Behavior Checklist; GAD = generalized anxiety disorder; SAD = separation anxiety disorder; SOP = social phobia; SP = specific phobia.
Analysis of variance was conducted with continuous variables whereas chi- square analyses were conducted with categorical variables.
Least squares means difference test was conducted.
Sixteen therapists (12.5% male; 81.3% White; 6.3% Latino, 6.3% Asian/Pacific Islander, and 6.3% did not report) participated in the first RCT (ICBT; Kendall et al., 2008). These therapists were either clinical psychology doctoral trainees or licensed clinical psychologists. The second RCT, the Youth Anxiety Study (YAS; Southam-Gerow et al., 2010), included therapists who were clinic employees who volunteered to participate in the study and were randomly assigned to treatment groups. Therapists assigned to YAS-ICBT (n = 13; 15.4% male) were 53.8% White, 15.4% Latino, 15.4% Asian/Pacific Islander, and 15.4% mixed/other. Professional composition of YAS-ICBT therapists was 30.8% social workers, 23.1% masters level psychologists, 15.3% doctoral level psychologists, and 30.8% reported “other” degree.
ICBT.
Therapists in ICBT and YAS-ICBT delivered Coping Cat, an ICBT program designed for youth diagnosed with anxiety disorders (Kendall & Hedtke, 2006). Coping Cat emphasizes anxiety management skills training (e.g., cognitive restructuring, relaxation), exposure, and regular homework across 16 sessions (14 conducted individually with the youth; 2 with parents only). In both studies, the therapists were trained using the same procedure: treatment manual, training workshop, and ongoing supervision with a model expert.
Instruments Used for Validity Analyses
The CBT for Anxiety in Youth Competence Scale (CBAY-C; McLeod et al., 2016) is a 25-item observational instrument that assesses three areas of technical competence: (a) Standard - five items that represent interventions found in most CBT sessions (e.g., Agenda Setting, Homework Review), (b) Model - 12 items that assess model-specific content (i.e., Psychoeducation-Anxiety, Emotion Education, Fear Ladder, Relaxation, Cognitive-Anxiety, Problem Solving, Self-Reward, Coping Plan, Exposure Preparation, Exposure, Exposure Debrief, Maintenance), and (c) Delivery - six items that measure how model items are delivered (e.g., Didactic Teaching, Rehearsal), and two Global ratings. In making competence ratings, coders are asked to watch an entire session and make ratings on a 7-point Likert-type competence scale with the following anchors: 1 = very poor; 3 = acceptable; 5 = good; 7 = excellent. The CBAY-C Total Scale, Subscale, and item scores have demonstrated evidence of construct validity (McLeod et al., 2016). However, the Subscale scores were highly correlated in this sample (r = .86, p < .001), so we used the Total Scale. The Total scale score was produced by taking the highest scoring item for each session (see McLeod et al., 2016; Smith et al., 2016). For the present sample, the average item inter-rater reliability, ICC(2,2) = 0.69 (SD = 0.09).
CBT Adherence Scale for Youth Anxiety (CBAY-A; Southam-Gerow et al., 2016) is a 22-item observer-rated instrument of model-specific adherence to ICBT for youth anxiety that parallels the content of the CBAY-C. The CBAY-A assesses the same three areas as the CBAY-C (Standard, Model, and Delivery) rated on a 7-point extensiveness scale (Hogue, Liddle, & Rowe, 1996): 1 = not at all, 3 = somewhat, 5 = considerably, 7 = extensively. The present study used the Total scale score, which was generated by using the item with the highest score for each recording. The CBAY-A item and subscale scores have demonstrated evidence of construct validity and discriminated between therapists delivering ICBT across research and community settings from therapists delivering usual care (Southam-Gerow et al., 2016). For the present sample, the average item inter-rater reliability, ICC (2,2,) = 0.75 (SD = 0.16).
Therapy Process Observational Coding System for Child Psychotherapy-Alliance scale (TPOCS-A; McLeod & Weisz, 2005) is an observational instrument designed to assess the quality of the client-therapist alliance in youth treatment. The TPOCS-A consists of 6 items that assess affective elements of the client–therapist relationship, and 3 items that assess client participation in therapeutic activities. Coders observe entire sessions and rate each item on a 6-point scale ranging from 0 (not at all) to 5 (a great deal). The TPOCS-A has demonstrated item inter-rater reliability ranging from .48 to .80 (M ICC = .67) and internal consistency ranging from .91 to .95 (M α = .92). Scores on the TPOCS-A have demonstrated evidence of convergent validity with self-report alliance instruments ranging from .48-.53 (Fjermestad et al., 2012; Liber et al., 2010) and predictive validity with treatment outcomes (Chiu, McLeod, Har, & Wood, 2009; Liber et al., 2010; McLeod & Weisz, 2005). Inter-rater reliability, ICC(2,2), for the TPOCS-A in the present sample was .82; internal consistency was .81.
Therapeutic Alliance Scale for Children (TASC; Shirk & Saiz, 1992) is a youth-report instrument of alliance. Items are scored on a 4-point scale ranging from 1 (not true at all) to 4 (very true). The TASC has evidenced convergent validity with other alliance instruments (Accurso, Hawley, & Garland, 2013; Fjermestad et al., 2012) and predictive validity in relation to outcome (e.g., Hawley & Weisz, 2005). In YAS, the 7-item version (Shirk & Saiz, 1992) was administered whereas the revised 12-item version was administered in Kendall et al. (2008). Six items had identical wording, so scores were based on a sum of those 6 items. These 6 TASC items focus on the bond dimension of the alliance (e.g., “I felt like my therapist was on my side and tried to help me”). For analyses, we used TASC scores collected at post-treatment.2 The internal consistency for the 6 items utilized was α = .81-.86 across samples.
Child Involvement Rating Scale (CIRS; Chu & Kendall, 2004) is a 6-item instrument that assesses aspects of positive and negative youth involvement in treatment. Coders view entire sessions and then rate items on a 6-point scale ranging from 0 (not at all) to 5 (a great deal). Previously, the CIRS has demonstrated inter-rater reliability (ICC) from .61 to .90 and an internal consistency of .73 (Chu & Kendall, 2004, 2009; Hudson et al., 2014). Inter-rater reliability, ICC(2,2), for the CIRS in this study was .78; internal consistency was .85.
Study Observational Coding Procedures
Coders.
Eight doctoral students in clinical psychology comprised the coding teams. Two students coded the G-COMP (M age = 27.00 years, SD = 0.00; 100.0% female; 100.0% White), two students (M age = 27.00 years, SD = 4.20; 50.0% female; 50.0% White, 50.0% Latina) coded the CBAY-A and CIRS, two students (M age = 24.00 years, SD = 1.40; 100.0% female; 50.0% White, 50.0% Asian-American) coded the TPOCS-A, and four students coded the CBAY-C (M age = 28.00 years, SD = 2.70; 75.0% female; 50.0% White, 50.0% Latina).
Coder training.
Training progressed through the same steps for each instrument. First, coders received didactic instruction and discussion of the scoring manuals, reviewed sessions with the trainers (second and third author), and engaged in exercises designed to expand understanding of each item. Second, coders engaged in coding and results were discussed in weekly meetings. Lastly, coders independently coded 32 recordings and reliability was assessed against master codes produced by the second and third authors. To be certified for independent coding, each coder had to demonstrate reliability of ICC > .59 on each item (Cicchetti, 1994).
Assignment and coding of sessions.
All treatment sessions for each case were coded except the first and last session as these sessions may contain intake or termination content. Sessions were not rated if (a) shorter than 15 minutes, (b) less than 15 minutes was audible, (c) less than 75.0% of the dialogue was in English, or (d) the recording was missing or damaged. Coding order was determined by random assignment. Each session was double-coded. Coders were naïve to study hypotheses and differences between data sources. Of the 1098 sessions held, 744 (67.7%) were rated (65.5% ICBT (n = 532), 74.1% YAS-ICBT (n = 212)). There was no significant difference between groups in terms of the percent of sessions coded (t(66) = 1.85, p = .069), nor was there a difference in the percent of sessions coded from the first and second half of treatment (first half = 67.6%; second half 67.9%; t(67) = 0.07, p = .95).
Data Analysis
Inter-rater reliability.
Intra-class correlations, ICC (2,2) based on a two-way random effects model, were calculated across coders for each G-COMP item to examine inter-rater reliability (Shrout & Fleiss, 1979). We considered ICCs values below .40 to reflect “poor” agreement, ICCs from .40 to .59 to reflect “fair” agreement, ICCs from .60 to .74 to reflect “good” agreement and ICCs .75 and higher to reflect “excellent” agreement (Cicchetti, 1994).
Item reduction.
To determine the most appropriate, and parsimonious, level of analysis (e.g., Level 1 items vs. average of Level 2 items) we examined correlations between the Level 1 items (e.g., Alliance Building) and the sum of the corresponding Level 2 items.
Variance components analysis.
Variance components analysis of the five G-COMP Level 1 items (Alliance, Positive Expectancies, Focusing Treatment, Instigating Change, Responsiveness) was conducted using a random effects linear mixed-effects model (MIXED) with restricted maximum likelihood estimation (REML) in SPSS to estimate the sources of variance around G-COMP scores. Variance components were calculated for the following factors: (a) Setting (i.e., research for ICBT or community for YAS-ICBT); (b) Therapist (nested within setting); (c) Client (nested within setting, therapist); (d) Time (i.e., weeks since intake nested within client, therapist, setting); and (e) Coder. Estimates of variance were transformed into proportions of the total variance. Mean level differences between settings on the G-COMP item scores were tested using adjusted least square means (LSMs) scores with SAS/STAT Software 9.4 using with a Bonferroni adjusted alpha of p < .01.
Construct validity of the G-COMP scores.
Next, we evaluated the extent to which the G-COMP item scores demonstrated evidence of construct validity by investigating the magnitude of the association between the G-COMP item scores and scores on other treatment process instruments, including observational (TPOCS-A) and youth-report (TASC) alliance instruments, an observational client involvement instrument (CIRS), an observational CBT-competence instrument (CBAY-C Total scale), and an observational instrument of ICBT adherence (CBAY-A Total scale). We hypothesized that inter-item correlations on the G-COMP would be medium to large as these items were designed to assess moderately related components of global therapist competence. We hypothesized that correlations would be positive across the instruments, however, given the absence of gold-standard instruments of global therapist competence to which to compare the G-COMP, we made no specific hypotheses about the magnitude.
Results
Descriptive Statistics and Inter-Rater Reliability
Means of the G-COMP items generally fell around the midpoint of the 7-point scale and the full range of the scores was represented for each item. ICCs for the G-COMP Level 2 item scores ranged from .49 to .81 (M = 0.65, SD=0.10), with 5 items in the “fair” range, 7 in the “good” range, and 2 in the “excellent” range. ICCs were higher among the Level 1 items (M = 0.70, SD=0.07), with all ICCs > .60. See Table 3 for details.
Table 3.
Interrater Reliability, Means, and Standard Deviations for G-COMP Level 1 and Level 2 items.
| Total N=744 | ||||
|---|---|---|---|---|
| Item Description | ICC | M | (SD) | Range |
| I. Alliance Building | 0.67 | 4.59 | (0.75) | 1–7 |
| 1. Understanding | 0.53 | 4.10 | (0.69) | 1–7 |
| 2. Positive regard | 0.71 | 4.75 | (0.87) | 1–7 |
| 3. Client’s perspective | 0.49 | 4.35 | (0.69) | 2–7 |
| 4. Collaboration | 0.59 | 4.62 | (0.89) | 1–7 |
| II. Positive Expectancies | 0.70 | 3.82 | (0.89) | 1–7 |
| 5. Treatment expectancies | 0.68 | 3.60 | (1.14) | 1–7 |
| 6. Therapist credibility | 0.61 | 4.20 | (0.63) | 1.5–7 |
| 7. Client self-efficacy | 0.72 | 3.46 | (1.13) | 1–7 |
| III. Focusing Treatment | 0.74 | 4.66 | (1.05) | 1–7 |
| 8. Structure/Pace | 0.73 | 4.65 | (1.14) | 1–7 |
| 9. Continuity | 0.53 | 3.88 | (0.81) | 1.5–6.5 |
| 10. Key Themes | 0.74 | 4.98 | (1.13) | 1–7 |
| IV. Instigating Change | 0.79 | 4.43 | (1.22) | 1–7 |
| 11. Change strategies | 0.76 | 4.50 | (1.16) | 1–7 |
| 12. Active participation | 0.81 | 4.37 | (1.32) | 1 – 7 |
| V. Responsiveness | 0.61 | 4.39 | (0.83) | 1–7 |
| 13. Motivation | 0.57 | 4.37 | (0.81) | 1–7 |
| 14. Flexibility | 0.65 | 4.31 | (0.83) | 1–7 |
Note. G-COMP = Global Therapist Competence Scale for Youth Psychosocial Treatment. ICC = Intraclass Correlation calculated as (2,2) two-way random effects model of two coders.
Item Reduction
The correlations between each Level 1 item score and the sum of the corresponding Level 2 item scores ranged from 0.92 to 0.97 indicating redundancy (r > .70; Kline, 1979). These results suggest that the Level 1 scores represent a more parsimonious scoring approach for the G-COMP. Thus, we only used the five Level 1 item scores in subsequent analyses.
Variance Components Analysis
Table 4 contains the results of the variance components analysis for each Level 1 item score. Most of the non-residual variance was accounted for by time (22.0 – 35.0%), therapist (11.0 – 26.0%), and setting (3.0 – 17.0%). Neither coder (≤ 1.0%) nor client (≤ 4.0%) accounted for much variance. Next, we tested for differences between settings in G-COMP Level 1 item scores using adjusted least square means (Table 2). Post hoc tests, using Bonferroni corrections to account for multiple comparisons, revealed that means for all Level 1 items were significantly higher for the ICBT group than the YAS-ICBT (ps < .001).
Table 4.
Variance Components for G-COMP ratings.
| G-COMP Scale | Variance Components | |||||
|---|---|---|---|---|---|---|
| Setting | Therapist | Client | Time | Coder | Residual | |
| Alliance building | 3% | 19% | 4% | 22% | 1% | 52% |
| Positive expectancies | 9% | 11% | 4% | 29% | <1% | 47% |
| Focusing treatment | 13% | 21% | 3% | 26% | 1% | 36% |
| Instigating change | 17% | 15% | 3% | 35% | <1% | 31% |
| Responsiveness | 14% | 26% | 3% | 25% | <1% | 32% |
Note: G-COMP = Global Therapist Competence Scale for Youth Psychosocial Treatment. Variance component estimates represent the portion of variance that is attributed to each source of variance.
Construct Validity of G-COMP Item Scores
Inter-item correlations.
As seen in Table 5, inter-item correlations among the five G-COMP items ranged from .37 to .75 (ps < .001) suggesting the item scores assess related yet distinct aspects of global competence with one exception: the correlation between scores on the Focusing Treatment and Instigating Change items (r = .75, p <.001).
Table 5.
Correlations among G-COMP Level 1 items and process instruments.
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7a | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. G-COMP Alliance building | 744 | |||||||||
| 2. G-COMP Positive expectancies | 744 | .43** | ||||||||
| 3. G-COMP Focusing treatment | 744 | .45** | .53** | |||||||
| 4. G-COMP Instigating change | 744 | .52** | .37** | .75** | ||||||
| 5. G-COMP Responsiveness | 744 | .60** | .38** | .48** | .55** | |||||
| 6. TPOCS-A | 660 | .44** | .26** | .27** | .43** | .18** | ||||
| 7. TASCa | 64 | .27* | .21 | .23 | .17 | .22 | .28* | |||
| 8. CIRS | 661 | .32** | .10** | .13** | .27** | .08* | .77** | .21 | ||
| 9. CBAY-C Total | 663 | .26** | .24** | .53** | .52** | .26** | .25** | .28* | .21** | |
| 10. CBAY-A Total | 744 | .27** | .25** | .55** | .63** | .26** | .38** | .21 | .23** | .65** |
Note.
p < .05,
p < .01
TASC assessed at end of treatment. Coefficients represent correlation with process scores from the last observation. G-COMP = Global Therapist Competence Scale for Youth Psychosocial Treatment, CBAY-C = CBT for Youth Anxiety Competence Scale, TPOCS-A = Therapy Process Observational Coding System for Child Psychotherapy-Alliance scale, TASC = Therapeutic Alliance Scale for Children, CIRS = Child Involvement Rating Scale, CBAY-A = CBT Adherence Scale for Youth Anxiety
Correlations between G-COMP and measures of Alliance and Involvement.
The correlation between the G-COMP item scores and scores on the TPOCS-A (observer-rated alliance) ranged from r = .18 - .44. The TPOCS-A was most strongly correlated with the G-COMP’s Alliance (r = .44, p < .001) and Instigating Change (r = .43, p < .001) items. The correlations between the last observation of G-COMP and the TASC (end-of-treatment youth-reported measure of alliance), ranged from rs = .17 - .27, with the highest, and only significant, correlation with the G-COMP Alliance item. The correlations between the G-COMP and the CIRS (observer-rated child involvement) were small to moderate, ranging from .08 to .32, (ps < .05) with the highest correlations between G-COMP Alliance and Instigating Change.
Correlations between G-COMP and measures of CBT-competence and adherence.
The strongest observed correlations with the G-COMP items were with instruments of technical delivery: CBT-adherence (CBAY-A; rs = .25 - .63) and CBT-competence (CBAY-C; rs = .24 - .53). Specifically, the correlations with the G-COMP Instigating Change item (rs = .63 and .52, ps < .001, for CBAY-A and CBAY-C respectively), and with the Focusing Treatment item (rs = .55 and .53, ps < .001, respectively) were the highest.
Discussion
Previous research has found inconsistent and weak associations between therapist competence and treatment outcomes, potentially due to lack of conceptual distinction between global and technical therapist competence and adherence (Barber et al., 2006; Barber et al., 2007; Hogue et al., 2008). The G-COMP is, to our knowledge, the first stand-alone measure of global therapist competence for youth treatment. The G-COMP assesses therapist competence across five domains: (a) alliance building, (b) promoting positive expectancies, (c) focusing treatment, (d) instigating change, and (e) responsiveness. Our results supported the notion that the five domains were best represented by the single Level 1 item scores, suggesting that future research could simply use the five Level 1 items. However, this may indicate that coders may have difficult making fine grain distinctions between some of the categories that comprise the broader global domains (cf. Hogue et al., 2008; McLeod et al., 2016).
We found that independent coders can achieve acceptable inter-rater reliability on the G-COMP items. Inter-rater reliability of the Level 1 items was in the good to excellent range (ICC ≥ .60; Cicchetti, 1994), were higher than previous estimates of global competence (ICC .48 to .56; e.g., Hogue et al, 2008), and consistent with pervious findings (ICC .71 to .85; e.g., Carroll et al., 2000). This result was corroborated by the negligent variance component associated with coder (<1%). This brings some preliminary evidence to bear on the question of whether global competence can be operationalized and coded reliably (Barber et al., 2007).
The variance components analysis resulted in several findings. Client differences accounted for very little variance (between 3.0 – 4.0%) suggesting that scores across the five global domains did not vary significantly at the client level. This is desirable given that the G-COMP was designed to focus on therapist competence and is consistent with some past work (Barber, Foltz, Crits-Christoph, & Chittams, 2004), although counter to other findings (Hogue et al., 2008). Time in treatment accounted for 22.0 – 35.0% of the variance in G-COMP scores, consistent with previous findings (e.g., Barber et al., 2004; McLeod et al., 2016). This suggests that there may be systematic differences in scores on the competence domains over the course of treatment. The variance associated with therapist (11–26%) suggests that scores on the five domains differ across therapists. This is a positive sign for an instrument of therapist competence and is consistent with some past work (Barber et al., 2004; Hogue et al., 2008). The relatively low number of clients per therapist, particularly in the YAS-ICBT, may have reduced the variance to be accounted for by therapists in our sample.
Setting accounted for a modest amount of variance (3.0 – 17.0%) and therapists in the research setting were rated higher than therapists in the community setting. The difference is consistent with studies reporting significant differences in treatment adherence and technical competence between effectiveness and efficacy trials (e.g., McLeod et al., 2015; Weisz et al., 2009). Although the research and community settings did not differ in number of sessions, clients in the community setting spent more weeks in treatment, which may have impacted treatment continuity. Therapists in the two settings differed in their training experience and background during the study, which may have influenced therapist competence (Henggeler, Schoenwald, Liao, Letourneau, & Edwards, 2002). Therapists in the research setting were more experienced in the use of the specific treatment manual than the therapists in the community setting, who were newly trained. There is evidence that therapists newly trained in a manual-guided treatment may exhibit a temporary decline in interpersonal skillfulness as they struggle to internalize the new interventions (Henry et al., 1993) and it is possible that the G-COMP is sensitive to these differences.
Inter-item correlations of the Level 1 items were all significant. This suggests that therapists who exhibit competency in one domain may be more likely to exhibit competency in another, which is consistent with prior work (e.g., Carroll et al., 2000; Hogue et al., 2008). The magnitude of the correlation coefficients between Focusing Treatment and Instigating Change (r = .75) suggests significant conceptual overlap. The items may be redundant (r > .70; Kline, 1979), or the items may co-vary within sessions (e.g., therapists who demonstrate competence in instigating change may also be skillful at keeping treatment focused on specific goals). Future studies are needed to further examine the discriminative validity of scores on these two items.
The pattern of correlations between on the G-COMP, alliance, and client involvement instruments support the discriminant validity of the item scores. Conceptual models emphasize that therapist competence promotes client involvement, in part, by strengthening the alliance (Fjermestad et al., 2016). Correlations between scores on the G-COMP item, the alliance instruments (both observer and self-report), and the client involvement instrument were positive. The finding that the G-COMP alliance item was differentially correlated with the client-report alliance instrument was particularly promising.
We also examined relations between the G-COMP items and the instruments designed to assess both model-specific therapist competence and therapeutic interventions. The range of correlations between scores on the G-COMP and instruments of technical competence and adherence (rs = .24 - .63) were less than what has been observed in other studies that have assessed common competence with items embedded in technical competence/adherence scales (e.g., rs = .79 - .91, Stallard et al., 2014). The use of independent coders likely contributed to improved conceptual distinction. The pattern of high, but not redundant, positive correlations with a technical competence scale suggests that therapists skilled at implementing manual-guided ICBT for youth anxiety disorders were also likely to exhibit similar levels of global competencies, consistent with prior research (e.g., Carroll et al., 2000; Hogue et al., 2008).
The results must be considered in light of some limitations. Though observer-rated instruments have strengths, they also limit the scope of skills that can be assessed to those that can be observed. To provide more thorough assessment of therapist competence, a multi-method approach would be needed to tap various aspects of this broader definition of competence. Another potential limitation is our use of advanced graduate student coders. Although we found good inter-rater reliability, and previous studies have found good inter-rater reliability between expert and non-expert judges of general therapeutic skills (Barber & Crits-Christoph, 1996), future research is needed to examine the predictive validity of scores with treatment outcome.
Another limitation is that we examined the G-COMP only in the context of ICBT for anxiety disorders, and thus we are not able to determine the extent to which G-COMP items are truly global across other theoretical orientations and/or client problems. The G-COMP was based heavily on the empirical work of the APA’s Division 29 Task Force on Empirically Supported Relationships (Norcross, 2002, 2011), with its emphasis on theorietical neutrality. We would expect similar results from short-term manual-guided treatments, such as psychodynamic treatment for anxiety disorders (Leichsenring et al., 2013), but this should be examined in future research. Finally, we examined the G-COMP in the context of ICBT for anxiety disorders; thus, results may not generalize to the treatment of other disorders. It is possible that different profiles of skills may emerge in the treatment of externalizing problems. Future studies are needed to examine the properties of the G-COMP in treatments for other diagnoses.
Conclusion
This study marks an important first step in developing an instrument of global competence for youth treatment. The present study indicates that the G-COMP items can be coded reliably by graduate students. Moreover, evidence provides some support for the construct validity of the item scores (Foster & Cone, 1995), suggesting that they are distinct from other treatment process domains. This suggests that the G-COMP may be used in conjunction with other treatment process instruments to identify the breadth of treatment and relationship elements that are associated with meaningful clinical outcomes. This line of research will be critical in developing evidence-based training and practice guidelines for youth treatment.
Footnotes
In the second edition of the Task Force on Evidence-Based Psychotherapy Relationships, formerly the Task Force on Empirically Supported Relationships, (Norcross, 2011), published during the G-COMP coding, self-disclosure and transference interpretations were no longer included due lack of sufficient evidence.
TASC was only collected at post-treatment in YAS (Southam-Gerow et al., 2010).
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