The positive impact of parental warmth and affection is evident at multiple psychophysiological and psychosocial levels. Across animal and human studies, increased maternal care and warmth is linked with better stress modulation (Rincón-Cortés & Sullivan,
2014; Letourneau et al.,
2011) that can influence gene expression (Kommers et al.,
2015; Peña et al.,
2013). Early maternal care is also linked with positive functional changes in the neuroanatomic structure of infants and children (Lee et al.,
2019; Lupien et al.,
2011). Parental warmth and sensitivity are also instrumental to establishing a secure attachment style (O’Neill et al.,
2021), which in turn underpins a multitude of affective and interpersonal relational patterns throughout life (Ainsworth,
1979). Positive parent-child relationships characterized by warm, responsive parenting are critical to socialization efforts (Kochanska, Forman, Aksan et al.,
2005), and empathy development by providing a vehicle through which modelled prosocial behaviors are internalized and later repeated by the child (Kochanska,
2002a,
b). Taken together, parental warmth is essential for supporting healthy socioemotional development in children and can be protective against developing psychopathology across the lifespan.
Current Measures of Parental Warmth
There is a proliferation of tools available for measuring parental warmth and related parent-child processes, in part due to the varied terminology used to define these constructs. Parenting practices are most frequently enacted in the home, making parent-report questionnaires a common assessment approach. There are several questionnaires available to researchers that assess broad parenting constructs related to warmth and nurturance (see Hurley et al.,
2014, and Locke & Prinz,
2002 for comprehensive reviews). Despite being in copious supply, measures for assessing warmth are limited in three key ways.
First, parental warmth is inconsistently defined across measures (Lindheim & Shaffer,
2017) and critical subcomponents that are integral to warm parenting, such as non-verbal affiliative cues that foster close, enduring relational bonds (e.g., animated facial expressions, modulation of tone/pitch of voice, and eye contact) are often overlooked. Differences in operationalizations across questionnaires can weaken their content validity (Locke & Prinz,
2002), produce divergent findings, and limit a more comprehensive assessment. Second, reviews of measures for parenting constructs find that few tools report psychometrics (Holden & Edwards,
1989; Hurley et al.,
2014), and of those that do, several demonstrate inadequate psychometric properties (e.g., Parenting Relationship Questionnaire; Kamphaus & Reynolds,
2006; Parent Behavior Frequency Questionnaire; Mowder,
2000; Parent Dimensions Inventory; Power,
2002), undermining the utility of these tools in clinical contexts (Hurley et al.,
2014). Third, assessing parenting through self-report presents challenges, including parents tending to use broad estimates when reporting on high frequency behaviours occurring over protracted periods of time (Tourangeau et al.,
2000; Morsbach & Prinz,
2006), and engaging in biased responding (Krumpal,
2013; Morsbach & Prinz,
2006). Given these limitations, alternative methods have proven useful for enabling comprehensive, psychometrically robust, and ecologically valid assessments of warmth.
Quasi-observed measures are one potential alternative to parent-report questionnaires for providing a detailed and ecologically valid assessment of parental warmth. A popular example of such a measure is the collection of Five-Minute Speech-Samples (FMSS) and coding their content using the Family Affective Attitude Rating Scale (FAARS; Bullock & Dishion,
2004; Bullock & Dishion,
2007). Parents are asked to spontaneously express their thoughts and feelings regarding their child into an audio-recorder for five minutes. Their speech-samples are later rated by trained coders on a global (i.e., Likert) scale across several constructs including both positive (e.g., warmth, expressing love/care) and negative (e.g., criticism) parent-child processes (Pasalich et al.,
2011a,
b). In addition to being similarly cost-effective to parent-report questionnaires (Bullock & Dishion,
2007), the FAARS demonstrates promising psychometric properties (Weston et al.,
2017; Rea et al.,
2020). Despite these strengths, the FAARS speech-sample method taps into parental
attitudes and does not provide a direct, detailed assessment of warm parenting behaviors that can be used easily within clinical treatment contexts.
Arguably, the optimal method for assessing parental warmth is observational behavioral coding. Behavioral observations are integral to evidence-based assessment and serve as the most direct (i.e., less susceptible to social desirability), ecologically valid, and clinically useful method for assessing parent-child interactions and parenting quality (Hawes & Dadds,
2006; Wysocki,
2015). There are several macro-observational (or macro) coding systems that use summary ratings on Likert scales that capture global impressions of parental warmth (e.g., Family Coding System [FCS]; Margolin & Gordis,
1992; Iowa Family Interaction Rating Scales [IFIRS]; Melby et al.,
1998), as well as broad, related components (e.g., “sensitive responding” in the Coding of Attachment-Related Parenting, [CARP], Matias et al.,
2006; “nurturing/supportive” in the Coder Impressions Inventory, [COIMP], Dishion et al.,
2004). For example, the Family Observation Schedule—6th Edition (FOS-VI; Pasalich & Dadds,
2009) is a macro coding system that can be used across semi-structured and free-play tasks to assess various parent-child processes, including a broad ‘parental warmth’ category rated on a 5-point Likert scale capturing consistency and intensity of parent behaviors. The FOS-VI ratings consider both verbal and non-verbal behaviors, and has previously demonstrated excellent inter-rater reliability (e.g., ICC = 0.86; Pasalich et al.
2011a), and clinical validity (Dadds & Hawes,
2006; Pasalich et al.,
2011b). Additionally, other macro coding systems are used to assign global ratings for specific subcomponents of warmth between parent-child dyads during structured tasks (e.g., ‘I-Love-You’ protocol used to code a 90-second ‘I-Love-You’ task; Dadds et al.,
2012). In this task, parents are instructed to look their child in the eye and
“…show him/her, in the way that feels most natural for you, that you love him/her”, which is coded on various domains (including ‘physical’ and ‘verbal’ affection) by trained researchers on a 5-point Likert scale (1 =
Not at all, 5 =
Very much).
Macro coding systems tend to be more efficient since they require less intensive training to establish reliability between coders (Gridley et al.,
2019). However, what is gained in efficiency is lost in depth of assessment (Bank et al.,
1990) as macro coding systems may not provide detailed assessments of multifaceted constructs such as parental warmth. For example, several tools operationalize parental warmth in an aggregate manner by collapsing across several categories of verbal and non-verbal indicators (e.g., FOS-VI; Pasalich & Dadds,
2009; IFIRIS, Melby et al.,
1998; FCS, Margolin & Gordis, 1998). The resultant lack of detailed clinical information (e.g., frequency of different types of verbal and non-verbal warmth cues) limits the ability to test the distinct influences of specific subcomponents of warmth on child outcomes that can be useful when refining interventions. Similarly, global scores from macro coding have limited clinical utility in their ability to inform treatment planning or monitor treatment-related changes.
Alternatively, micro coding systems enable a detailed assessment of parental warmth subcomponents. Micro coding systems capture more specifically defined, discrete units of behaviors, and can be used to collect moment-to-moment information over an interval (e.g., proportions) or a continuous (e.g., frequency/tally counts) period. Examples include the Behavioral Coding System (BCS; McMahon & Estes,
1994), the Family Interaction Coding System (Patterson et al.,
1969), the Family Peer Process Code (Crosby et al.,
1998), and the Specific Affect Coding System (SPAFF; Coan & Gottman,
2007). Micro coding systems can capture changes during and following treatment given the granular nature of coding units (Hawes et al.,
2013). A trade-off for the additional sensitivity and nuance of micro coding systems is the extra resources required to implement them. Micro coding systems typically involve more initial and ongoing training than macro approaches to ensure inter-rater reliability and minimize coder drift (Hawes et al.,
2013). Micro coding systems can also be challenging to apply to non-discrete behaviors (e.g., responsiveness), or to behaviors that occur at a high frequency (e.g., eye contact), leading researchers to adopt hybrid methods.
There is growing support for hybrid coding systems because of their ability to capitalize on the advantages of both micro and macro coding approaches. An example of a hybrid coding system that has demonstrated considerable clinical utility for assessing and monitoring positive parenting practices is the Dyadic Parent-Child Interaction Coding System—Fourth Edition (DPICS-IV; Eyberg et al.,
2013). The DPICS-IV is used to assess the quality of parent-child interactions across three, 5-minute play situations (child-led play, parent-led play, clean-up) following a 5-minute warm-up period. This coding system was originally developed to assist with treatment planning and tracking for families undergoing Parent-Child Interaction Therapy (PCIT; Eyberg & Funderburk,
2011), and has been iteratively refined over decades. PCIT is a parent management training program that seeks to both enhance the quality of the parent-child relationship by coaching parents to implement positive parenting practices during play situations, and to train parents in using consistent, evidence-based discipline techniques to promote child compliance. PCIT has been found to be efficacious for reducing childhood externalizing problems across numerous clinical trials (Thomas & Zimmer-Gembeck,
2007). The main DPICS-IV categories can be broadly classified into ‘Do’ and ‘Don’t’ skills that are taught to parents at the beginning of PCIT.
DPICS-IV ‘Do skills’ include delivering praise (labeled and unlabeled), reflecting speech back to the child (i.e., parroting), and describing the child’s appropriate behavior. Imitating alongside the child’s play and engaging with enthusiasm are also emphasized. DPICS-IV ‘Do skills’ constitute child-led play skills that overlap with elements of verbal warmth and are important for strengthening the parent-child relationship (Eyberg & Funderburk,
2011; Eyberg & Bussing,
2011). The frequency of parent’s use of praise, reflections and behavior descriptions are tallied, alongside their use of verbal statements that undermine the quality of the parent-child interaction (also referred to as DPICS-IV ‘Don’t skills’; e.g., questions, negative/critical talk, commands). Clinicians also assign macro ratings on a 2-point scale to indicate the parent’s level of enthusiasm (“
Satisfactory”, “
Needs practice”), and imitation of the child’s appropriate behavior as well as their ability to ignore any disruptive child behavior on a 3-point scale (“
Satisfactory”, “
Needs practice”, “
Not applicable”). The DPICS-IV has considerable clinical utility and is a required component of the PCIT protocol that is used to guide intensive in-vivo coaching, and to determine when families are ready to progress to the second discipline phase of treatment. The DPICS-IV has consistently demonstrated good psychometric properties, including good inter-rater reliability, sensitivity to change, and correlates with other parenting criterion measures (Cotter & Brestan-Knight,
2020; Kohlhoff, Morgan et al.,
2020). While the DPICS-IV is useful in clinical and research contexts for assessing primarily verbal parenting practices, it is limited in its current ability to adequately capture parental warmth for three key reasons.
First, the DPICS-IV focuses primarily on parent verbalizations governed by extensive coding rules that can risk underestimating levels of warmth. For example, parent verbalizations describing their own positive experience (e.g., “This is a lot of fun!”), expressing their desires, even if in relation to the child (e.g., “I really want to draw with you!”), or in the context of trying to attune to the child’s feelings (e.g., *child smiles widely while being hugged* “Aww you love big cuddles”) are coded as “Neutral Talk”. As such, positively valanced statements that add to the overall quality and warmth of the parent-child interaction are not always categorized as positive parenting behaviors under the DPICS-IV.
Second, the delivery and affective quality of verbal statements (e.g., vocal tone/pitch modulation) is not considered or quantified for positive parenting categories in the DPICS-IV. When considering the construct of warmth,
how verbal statements are delivered can also impact on the quality of the parent-child relationship (Floyd & Ray,
2003; Feldman,
2012). The only existing reference to tone of ‘vocalization’ in the DPICS-IV is for the use of sarcastic/sassy tones or parental whining which are coded as “Negative Talk” (i.e., critical or disapproving statements). Thus, including greater coverage of positive modulation of tone and pitch of voice is important for capturing parental efforts to convey warm engagement.
Third, the DPICS-IV insufficiently captures key non-verbal affiliative behaviors that are central to fostering warmth and affection. Currently, the DPICS-IV includes limited reference to the underutilized and understudied “positive” (e.g., stroking child’s hair, high-fiving child) and “negative” touch categories. However, the attachment-rich qualities of other non-verbal behaviors (e.g., animated facial expressions, attempts to engage and sustain reciprocal play) (Dadds & Hawes,
2006; Eyberg & Funderburk,
2011) are either not measured or assessed using crude macro scales. For example, the “imitation” category utilizes a broad, 2-point scale that assesses parent efforts to engage in
similar play
alongside the child (e.g., constructing a tower next to child who is building), in turn, overlooking the important non-verbal cues associated with parent attempts to engage their child in and/or sustain reciprocal play
with their child. In sum, while the DPICS-IV provides an excellent framework for assessing positive parenting practices and clinically complements PCIT, it requires extension to measure parental warmth more comprehensively.
Akin to the way in which the DPICS was developed as an accompanying tool for assessing positive parenting practices in PCIT, new adaptations of existing observational coding systems often occur in response to emerging theories or interventions that require appropriately tailored assessment tools (Hawes et al.,
2013). One such intervention is PCIT adapted to target the vulnerabilities of children with CP + CU (‘PCIT-CU’; Kimonis et al.,
2019; Fleming et al.,
2022), including improving low parental warmth/affection to foster empathy development and emotional processing skills in these dispositionally vulnerable children. Consequently, a need has emerged for an accompanying assessment tool to measure and monitor changes across the treatment targets of PCIT-CU. PCIT-CU adapts the first phase of PCIT by explicitly in-vivo coaching parents to increase their use of verbal (e.g., vocally expressed affection, modulation of voice) and non-verbal (e.g., animated facial expressions, eye contact) displays of warmth towards their child (Fleming et al.,
2022).